Real-time dispatching method and system for electric heating in a park adapting to multi-energy equipment combination in multiple scenarios

Abstract

The present invention discloses a real-time electric and thermal dispatching method and system for a park that is adaptable to a combination of multi-energy equipment in multiple scenarios. The method obtains an equipment parameter table according to the actual operation of the multi-energy park; selects different electric equipment and thermal equipment for actual operation of the multi-energy park; obtains the current actual operation status and real-time operation data of each type of equipment, and obtains the dispatching reference value obtained by the day-ahead dispatching or rolling dispatching calculation in multiple time scales according to the current number of operation periods; performs component modeling on the equipment actually online in the multi-energy park according to the dispatching reference value and the current operation conditions of each equipment in the multi-energy park, and uses a heuristic algorithm to obtain the real-time dispatching control results of each equipment in the multi-energy park; and uses the dispatching correction amount and power reference value of each type of equipment in the real-time dispatching results of the multi-energy park to realize the dispatching control of the equipment in a single period of the day. The method ensures that the equipment in the regional electric and thermal integrated energy system can be flexibly combined and can operate reliably and stably.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy internet, and specifically relates to a real-time dispatching method and system for park electric heating that is adaptable to a combination of multi-energy devices in multiple scenarios. Background Art

[0002] Against the backdrop of growing economic and population growth and environmental pressure, energy development has become a global issue. How to promote energy structure transformation and increase renewable energy consumption rate has attracted the attention of countries around the world.

[0003] In recent years, my country's energy industry has developed rapidly, especially in terms of renewable energy. China's installed capacity of wind power and photovoltaic power generation has become the world's first, but the problem of absorption is prominent. Relying solely on a certain type of energy will inevitably fall into trouble. Therefore, it is necessary to make full use of multiple energy sources, make overall considerations from the energy production side to the supply side, and give play to the complementary effects of multiple energy sources. The concept of energy Internet came into being. Energy Internet is a new form of energy industry development that deeply integrates the Internet with energy production, transmission, storage, consumption and energy market. As the physical carrier of energy Internet, the integrated energy system integrates a variety of different energy sources to supply energy to users, which is the key direction of research and development of my country's energy system.

[0004] The park multi-energy system in the comprehensive energy system is an important supporting node, which includes multiple energy networks such as electricity, gas, heat, and cold, and the supply forms of various energy are distributed and intelligent. It has great potential in promoting the transformation of energy structure and accelerating the consumption and development of renewable energy. With the continuous development of regional comprehensive energy system, a new form with diversified participating entities and highly coupled multiple energies has gradually been formed, which will not only significantly affect the architecture and layout of the energy network, but also change its operating characteristics, and thus have a profound impact on the dispatching and control mechanism of the regional comprehensive energy system.

[0005] Compared with traditional power systems, multi-energy parks have greater flexibility on the supply side. At the same time, the user side of the park has greater flexibility and adjustability. Using multiple complementary characteristics to adjust the energy structure on the user side can improve the user's ability to participate in demand response. The multi-energy complementary integrated energy system has established a complementary relationship between multiple energy sources in terms of energy production, transmission, storage, and utilization, with diverse forms and rich content.

[0006] The optimization scheduling module of the regional integrated energy system is its core functional module. By coordinating various adjustable resources and equipment within the regional integrated energy system, it can minimize operating costs and maximize renewable energy consumption. This is an area that many scholars are actively researching and exploring. Among them, due to the influence of the natural environment, the power output of new energy units has the characteristics of random fluctuations and is difficult to accurately predict. In addition, the randomness of load power may cause unplanned instantaneous power fluctuations in the real-time operation of the multi-energy park, resulting in the power deviation of the public connection point deviating from the planned operation point. Therefore, on the basis of day-ahead scheduling, a real-time scheduling method that adapts to the flexible combination of multi-scenario equipment is adopted to ensure that the multi-energy park always operates stably and continuously.

[0007] In the regional integrated energy system, the core of the electric and thermal integrated energy system is to realize the comprehensive regulation of renewable energy consumption and centralized heating system. As an important part of the integrated energy system, the regional electric and thermal integrated energy system has unique advantages in the utilization of multiple energy sources. On the one hand, compared with conventional thermal power units, the thermal efficiency of cogeneration units is high, which improves the efficiency of energy utilization. On the other hand, the physical properties of electric energy and thermal energy are similar and complementary. The interconnection of electric and thermal systems is conducive to the continuous growth of new energy power consumption. As a concentrated embodiment of the complementary characteristics of electric and thermal energy, the thermal system model is the advantage of electric and thermal joint dispatch. At present, the mainstream research starts from the thermal system structure and the physical characteristics of thermal energy, explores the process of thermal energy transmission and consumption, and establishes models of each link. Through thermodynamic variables, a thermal system model under the framework of joint dispatch is constructed. However, the current electric and thermal joint system lacks a reasonable and perfect dispatching method. Therefore, the improvement and optimization of the electric and thermal joint dispatching model has a more prominent practical significance. Summary of the invention

[0008] The technical problem to be solved by the present invention is to provide a real-time scheduling method and system for park electric heating that can adapt to multi-scenario and multi-energy equipment combinations in response to the deficiencies in the above-mentioned prior art, so as to ensure the flexible combination of equipment in the regional electric heating integrated energy system and its reliable and stable operation.

[0009] The present invention adopts the following technical solutions:

[0010] The method for real-time dispatching of electric heating in a park that is adaptable to a combination of multi-energy equipment in multiple scenarios includes the following steps:

[0011] S1. According to the actual operation of the multi-energy park, select equipment from the controllable equipment and configure the static parameters of the selected equipment to obtain the equipment parameter table;

[0012] S2. According to the equipment parameter table obtained in step S1, the actual online operation scenario of the current multi-energy park is judged, and different electrical equipment and thermal equipment are selected for actual operation of the multi-energy park;

[0013] S3. According to the different electrical equipment and thermal equipment selected in step S2, the current actual operating status and real-time operating data of each type of equipment are obtained, and according to the current number of operating time periods, the scheduling reference value obtained by the day-ahead scheduling or rolling scheduling calculation in multiple time scales is obtained;

[0014] S4. Based on the dispatch reference value obtained in step S3 and the current operating conditions of each device in the multi-energy park, component modeling is performed on the equipment actually running online in the multi-energy park, and the up and down adjustment capacity of each component is calculated, and the real-time dispatch control results of each device in the multi-energy park are obtained by using a heuristic algorithm;

[0015] S5. Use the dispatch correction amount and power reference value of each type of equipment in the real-time dispatch result of the multi-energy park obtained in step S4 to realize the dispatch control of equipment in a single period throughout the day.

[0016] Specifically, in step S1, the equipment selected from the controllable devices includes photovoltaics, energy storage, V2G charging piles, CHP units, air source heat pumps, heat storage tanks and central air conditioners; the static parameters of the components include: installed capacity of photovoltaics; rated capacity, maximum and minimum charge states, maximum and minimum charge and discharge powers, and charge and discharge efficiency of energy storage; capacity and number of connectors of V2G charging piles; installed capacity, maximum and minimum technical output, up and down ramp rates, shortest start and stop time, electric thermal power efficiency, and power loss coefficient of CHP units; installed capacity, up and down ramp rates, and energy efficiency ratio of air source heat pumps; maximum and minimum heat storage capacity, maximum and minimum charge and discharge power, charge and discharge efficiency, and heat loss factor of heat storage tanks; rated frequency, rated power, rated cooling power, minimum control coefficient, and power-frequency coefficient of central air conditioners.

[0017] Specifically, in step S2, the actual online operation scenario of the current multi-energy park is judged, and the scenarios include summer and winter. By judging the current scenario, the types of electrical equipment and thermal equipment online in the specific park are obtained. In summer, the operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles and central air-conditioning. Photovoltaic, energy storage, V2G charging piles and central air-conditioning and interconnection lines jointly achieve the electric power balance of the multi-energy park. The central air-conditioning is responsible for cooling and regulating the indoor room temperature of the building; in winter, the operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles and CHP units; the operating thermal equipment includes: air source heat pumps, CHP units and heat storage tanks

[0018] Specifically, in step S3, the actual operating status and real-time operating data of each type of equipment are obtained, including: the real-time installed power of photovoltaics; the real-time charging and discharging power and charge state of energy storage; the real-time charge state and real-time charging load power of electric vehicles; the real-time electric power and thermal power of CHP units; the real-time power consumption and heat generation power of air source heat pumps; the real-time heat storage capacity and real-time charging and discharging power of heat storage tanks; the real-time power consumption and real-time cooling capacity of central air conditioners.

[0019] Specifically, in step S3, the dispatch reference value obtained by calculating the day-ahead dispatch or rolling dispatch in multiple time scales is obtained as follows:

[0020] A day is divided into 96 points at 15-minute intervals, and the planned output of each device actually online at 96 points on the day is calculated. At the same time, intraday rolling scheduling is carried out at the hourly period of the day to correct the previous day's scheduling plan, and the equipment scheduling plan after the hourly period is determined for reference by the real-time scheduling of the multi-energy park. Based on the scheduling reference value, the actual output of the equipment is corrected, so that the multi-energy park can always maintain a stable operation state.

[0021] Specifically, in step S4, the component modeling of the equipment actually online in the multi-energy park is specifically as follows: after the real-time scheduling starts, the upper and lower adjustment capacities of the equipment are calculated respectively, and according to the electric power deviation obtained by the interconnection line power deviation value and the thermal power deviation calculated by the room temperature deviation value, each controllable device is called in turn to make up the deviation, and finally the scheduling correction amount of each device and the actual operating power value after scheduling are obtained;

[0022] Controllable equipment in summer includes photovoltaics, energy storage, V2G charging piles and central air conditioning; controllable equipment in winter includes photovoltaics, energy storage, V2G charging pile equipment, CHP units, air source heat pumps and heat storage tanks.

[0023] Furthermore, in summer, the upward and downward adjustment capacities of photovoltaic output are:

[0024]

[0025]

[0026]

[0027]

[0028] Among them, N PV Represents the total number of photovoltaic power stations, represents the predicted output of the ith photovoltaic power station in period t, represents the real-time output of the ith photovoltaic power station during period t, represents the real-time upward adjustment capacity of the i-th PV power station in period t, represents the real-time upward adjustment capacity of all PV power stations during period t, represents the real-time downward adjustment capacity of the ith PV power station during period t, It represents the real-time downward adjustment capacity of all PV power stations during period t;

[0029] The real-time upward and downward adjustment capacity is:

[0030]

[0031]

[0032]

[0033]

[0034] Among them, N ESS represents the total number of energy storage devices, and They represent the upward adjustment capacity and downward adjustment capacity of the i-th energy storage device in period t, respectively. i ESS,dis,max and P i ESS,cha,min represent the maximum discharge power and maximum charging power of the i-th energy storage device, respectively. and They represent the discharge power and charging power of the i-th energy storage device in period t, respectively. represents the battery capacity of the i-th energy storage device, represents the real-time charge state of the i-th energy storage device, and They represent the maximum state of charge and minimum state of charge of the i-th energy storage device, respectively. and represent the discharge efficiency and charging efficiency of the i-th energy storage device, respectively. Indicates the real-time scheduling time interval, and They represent the upward adjustment capacity and the upward adjustment capacity of all energy storage devices in period t respectively;

[0035] The upward and downward adjustment capacities of the V2G charging pile are:

[0036]

[0037]

[0038]

[0039]

[0040] Among them, N EV represents the total number of V2G electric vehicles, and They represent the upward adjustment capacity and downward adjustment capacity of the i-th V2G electric vehicle in period t, represents the real-time access status of the i-th V2G electric vehicle in period t, represents the real-time discharge state of the i-th V2G electric vehicle in period t, P i EV,dis,max and P i EV,cha,min They represent the maximum discharge power and maximum charging power of the i-th V2G electric vehicle, and They represent the discharge power and charging power of the i-th V2G electric vehicle in period t, represents the battery capacity of the i-th V2G electric vehicle, represents the real-time state of charge of the i-th V2G electric vehicle, and They represent the maximum state of charge and minimum state of charge of the i-th V2G electric vehicle, and They represent the discharge efficiency and charging efficiency of the i-th V2G electric vehicle, Indicates the real-time scheduling time interval, and They represent the upward regulation capacity and upward regulation capacity of all V2G electric vehicles in period t, respectively;

[0041] The upward adjustment capacity of the air conditioner is:

[0042]

[0043]

[0044] if

[0045]

[0046]

[0047] else

[0048]

[0049]

[0050]

[0051]

[0052]

[0053] The downward adjustment capacity of the air conditioner is:

[0054]

[0055]

[0056]

[0057]

[0058]

[0059]

[0060] Among them, N RM and N AC Represent the number of rooms and air conditioners respectively. represents the start and stop status of the kth air conditioner in the jth room during time period t, and They represent the maximum operating power and minimum operating power of the kth air conditioner in the jth room, and They represent the maximum operating power corresponding to the maximum cooling capacity and the minimum operating power corresponding to the minimum cooling capacity of the kth air conditioner in the jth room at time period t, which is limited by the indoor temperature of the room. and are the maximum frequency and minimum frequency of the kth air conditioner in the jth room, and is the maximum and minimum cooling capacity of the kth air conditioner in the jth room during period t, subject to the room's indoor temperature. and denote the heat capacity of the air supplied by the kth air conditioner in the jth room and the heat capacity of the jth room, respectively. and The maximum indoor temperature and the maximum indoor temperature of the jth room, respectively, and Represent the real-time indoor temperature and real-time outdoor ambient temperature of the jth room respectively, The thermal conductance between the jth room and the outdoor environment, and They represent the upward adjustment capacity and downward adjustment capacity of the kth air conditioner in the jth room during period t, and They represent the total upward adjustment capacity and downward adjustment capacity of all air conditioners in all rooms during period t respectively;

[0061] The first-order thermal dynamic model of a building in summer is:

[0062]

[0063] in, is the indoor temperature of the jth room at the tth period; is the heat capacity of the jth room; is the thermal conductance between the jth room and the outdoor environment; is the outdoor ambient temperature at the tth period;

[0064] The thermal power balance equation is:

[0065]

[0066] in, The cooling power of the i-th central air conditioner in time period t, The cooling load required for indoor cooling of the building during period t;

[0067] The electric power balance equation is:

[0068]

[0069] in, represents the real-time output of the ith photovoltaic power station during period t, and They represent the charging and discharging power of the i-th energy storage device in period t, and They represent the discharge power and charging power of the i-th V2G electric vehicle in period t, represents the real-time power consumption of the i-th central air conditioner during period t, P t buy , P t sell are the power purchase and sale on the interconnection line of the multi-energy park in the tth period, P t LD is the electric load of the multi-energy park in the tth period.

[0070] Furthermore, in winter, the upper and lower adjustment capacities of the cogeneration units are:

[0071]

[0072]

[0073]

[0074]

[0075]

[0076]

[0077] Among them, N CHP represents the total number of CHP gas generators, and They represent the upward regulation capacity and downward regulation capacity of the i-th CHP gas generator in period t, and They represent the upward adjustment heat capacity and downward adjustment heat capacity of the i-th CHP gas generator in period t, respectively. represents the start and stop status of the i-th CHP gas generator in period t, P i CHP,max and P i CHP,min They represent the maximum and minimum technical outputs of the i-th CHP gas generator, represents the real-time output power of the i-th CHP gas generator in period t, and represents the maximum upward climbing rate and maximum downward climbing rate of the i-th CHP gas generator, and Δt represent the real-time scheduling time interval and the day-ahead scheduling time interval, respectively. represents the maximum charging power of the heat storage device corresponding to the i-th CHP gas generator, and They represent the power generation efficiency and heat loss coefficient of MT corresponding to the i-th CHP gas generator in period t, and They represent the maximum heat storage energy of the heat storage device corresponding to the i-th cogeneration gas generator and the real-time energy value of the heat storage device corresponding to the i-th cogeneration gas generator in period t, respectively. and They represent the upward regulation capacity and upward regulation capacity of all CHP gas generators in period t, respectively;

[0078] The upper and lower adjustment capacities of the air source heat pump are:

[0079]

[0080]

[0081]

[0082]

[0083]

[0084]

[0085] Among them, N HP represents the total number of air source heat pumps, and They represent the upward adjustment capacity and downward adjustment capacity of the kth air source heat pump in period t, and They represent the upward adjustment heat capacity and downward adjustment heat capacity of the kth air source heat pump in period t, respectively. represents the maximum technical output of the kth air source heat pump and, represents the real-time output power of the kth air source heat pump in period t, and represents the maximum upward climbing rate and the maximum downward climbing rate of the kth air source heat pump, and Δt represent the real-time scheduling time interval and the day-ahead scheduling time interval, respectively. and They represent the upward adjustment capacity and upward adjustment capacity of all air source heat pumps in period t respectively;

[0086] The up and down adjustment capacity of the heat storage tank is:

[0087]

[0088]

[0089]

[0090]

[0091] Among them, N TSS Represents the total number of thermal storage tank equipment, and They represent the upward adjustment capacity and downward adjustment capacity of the i-th heat storage tank device in period t, respectively, and P i TSS,dis,max and P i TSS,cha,min They represent the maximum heat release power and maximum heat charging power of the i-th heat storage tank device, and They represent the heat release power and heat charging power of the i-th heat storage tank device in period t, represents the heat storage capacity of the i-th heat storage tank device, represents the real-time heat storage of the i-th heat storage tank device, and They represent the maximum and minimum heat storage of the i-th heat storage tank device, and They represent the heat release efficiency and heat charging efficiency of the i-th heat storage tank device, Indicates the real-time scheduling time interval, and They represent the upward adjustment capacity and upward adjustment capacity of all heat storage tank devices in period t respectively;

[0092] The heat balance equation is:

[0093]

[0094] in, and is the charging and discharging power of the i-th heat storage tank in time period t, is the heat release power of the i-th air source heat pump in time period t, The heat release power of the i-th cogeneration unit in time period t, The thermal power deviation (kW) caused by the temperature deviation of the jth room in time period t, is the general heat load during period t;

[0095] The electrical balance equation of the multi-energy park in winter is:

[0096]

[0097] in, represents the real-time output of the ith photovoltaic power station during period t, and They represent the charging and discharging power of the i-th energy storage device in period t, and They represent the discharge power and charging power of the i-th V2G electric vehicle in period t, represents the real-time output power of the i-th CHP gas generator in period t, represents the real-time output power of the kth air source heat pump in period t, P t buy , P t sell are the power purchase and sale on the interconnection line of the multi-energy park in the tth period, P t LD is the electric load of the multi-energy park in the tth period.

[0098] Specifically, in step S5, the dispatch control of the equipment in a single period throughout the day is specifically as follows:

[0099] In the real-time dispatching and control process, the whole day is divided into 288 single time periods with a time interval of every 5 minutes. Real-time dispatching and control are carried out every 5 minutes. At the same time, a rolling dispatch is required for each hourly period. Therefore, before the real-time dispatching and control of a single period, it is necessary not only to read the status information collected by the current equipment, but also to use the results of the daily rolling as a reference value. A total of 288 real-time dispatches are performed throughout the day. The accumulation of the results of the 288 time periods throughout the day is the complete dispatching and control process of the multi-energy park throughout the day.

[0100] Another technical solution of the present invention is a real-time dispatching system for electric heating in a park that can adapt to multiple scenarios and multiple energy equipment combinations, including:

[0101] The parameter module selects equipment from the controllable equipment and configures the static parameters of the selected equipment according to the actual operation of the multi-energy park, and obtains the equipment parameter table;

[0102] The selection module determines the current online operation scenario of the multi-energy park according to the equipment parameter table obtained by the parameter module, and selects different electrical equipment and thermal equipment for the actual operation of the multi-energy park;

[0103] The data module obtains the current actual operating status and real-time operating data of each type of equipment according to the different electrical equipment and thermal equipment selected by the selection module, and obtains the dispatch reference value obtained by the day-ahead dispatch or rolling dispatch calculation in multiple time scales according to the current number of operating time periods;

[0104] The calculation module models the components of the equipment actually running online in the multi-energy park according to the current operating conditions and dispatch reference values ​​of each device in the multi-energy park in the data module, calculates the upper and lower adjustment capacity of each component, and uses a heuristic algorithm to obtain the real-time dispatch control results of each device in the multi-energy park;

[0105] The scheduling module uses the scheduling correction and power reference values ​​of various types of equipment in the real-time scheduling results of the multi-energy park obtained by the calculation module to realize the scheduling control of equipment in a single period throughout the day.

[0106] Compared with the prior art, the present invention has at least the following beneficial effects:

[0107] The present invention's multi-scenario adaptable park electric and heat real-time scheduling method for multi-energy equipment combination can flexibly realize the free combination of the number and type of equipment in the multi-energy park by independently modeling different components, and is easy to continuously expand the types and numbers of components; by splitting into different unit modules, a complete set of real-time scheduling control processes including standard input, prediction, component modeling, core calculation, standard output, and statistical analysis are functionally realized. In addition, through the coordination of multi-time scale scheduling and the power correction of equipment in real-time scheduling, the public connection point of the multi-energy park is always within the stable operation range, ensuring the continuous and stable operation of the multi-energy park; finally, for typical scenarios, two different electric and heat coupling real-time scheduling methods are proposed. The implemented case studies show that the method can realize the flexible combination of equipment, can flexibly convert the number and type of equipment, and can be applied to a variety of different typical scenarios. The proposed electric and heat combined real-time scheduling method has clear logic, concise method, and is closely related to the actual operating conditions of the equipment, meeting the requirements of actual operation.

[0108] Furthermore, it is possible to flexibly select and configure a variety of controllable devices. According to the actual operation of the multi-energy park, the device selection and the specific parameters of the selected device can be flexibly configured to meet the computing needs of different parks. At the same time, if the scale of the park continues to expand, the number and type of equipment continue to increase, the dynamic addition or deletion of components can be realized. At the same time, the construction of the equipment parameter table is also conducive to the construction of the subsequent real-time scheduling component model and the use of calculation.

[0109] Furthermore, through the flexible selection and configuration of controllable devices and their parameters, it can be applied to different scenarios of multi-energy parks. Common scenarios divided by seasons include winter and summer. In addition, through the flexible selection of different equipment, it is also possible to divide scenarios according to different operating modes, such as microgrids, virtual power plants, smart buildings, etc. In the different scenarios mentioned above, different electrical equipment and thermal equipment are also running, which need to be selected and configured respectively.

[0110] Furthermore, by obtaining the actual operating status and real-time operating data of each type of equipment, the specific operating information of the equipment can be obtained, which is very important for real-time scheduling. For example, the real-time output data of photovoltaics. By obtaining this actual data, the scheduling results of subsequent photovoltaic equipment will have stronger executable nature. At the same time, by understanding the fault status of different equipment, it is conducive to the formulation of subsequent equipment output plans.

[0111] Furthermore, obtaining the dispatch reference value obtained by calculating the day-ahead dispatch or intraday rolling dispatch in multiple time scales can be beneficial to the rapidity and economy of real-time dispatch. Day-ahead dispatch and intraday rolling are mainly used to determine the start and stop plan and basic output conditions of each controllable device. Under this basic dispatch plan, the operation economy of the multi-energy park is the highest. At the same time, real-time dispatch is mainly used to make up for the actual operation deviation of the equipment, and its requirements for rapidity are very high. Therefore, by making corrections on the benchmark values ​​obtained by day-ahead dispatch or intraday rolling dispatch, the real-time dispatch result can be obtained as quickly as possible.

[0112] Furthermore, after the real-time scheduling begins, the up and down adjustment capacity of the equipment is calculated based on the actual operating information collected by the current components. In this way, after obtaining the thermal power deviation caused by the electric power deviation and the room temperature deviation, each controllable device can be called in turn to quickly make up for the deviation, so as to finally obtain the scheduling correction amount of each device and the actual operating power value after scheduling. In this way, the real-time scheduling control results of each device in the multi-energy park are obtained by using the heuristic algorithm in the fastest way, which meets the needs of rapid response of real-time scheduling and is conducive to the safe and stable operation of the multi-energy park.

[0113] Furthermore, HTTP is an object-oriented protocol belonging to the application layer. Due to its simplicity and speed, it is suitable for distributed hypermedia information systems and other features. The HTTP communication protocol is used here for data transmission, and the real-time scheduling results can be quickly transmitted to the device for use by the device. At the same time, in the real-time scheduling and control process, the whole day is divided into 288 single time periods with a time interval of 5 minutes, and real-time scheduling and control are performed every 5 minutes. Because the changes in the operating status of the equipment are very frequent, by performing equipment collection and equipment scheduling every 5 minutes, it is beneficial to timely capture the current operating status of the multi-energy park, so as to adopt a more economical scheduling method for the multi-energy park to use, and ensure the stable and economic operation of the multi-energy park.

[0114] In summary, the present invention allows flexible expansion and free combination of controllable equipment within the multi-energy park. At the same time, the modular design method makes a complete set of real-time scheduling control processes more complete. The coordination of multiple time scales and the power control of real-time scheduling make the multi-energy park always in a stable operation state. The joint scheduling method of electric and thermal coupling is also in line with the current development direction of the energy Internet, and plays a vital role in promoting the transformation of energy structure and accelerating the consumption of renewable energy.

[0115] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0116] Figure 1is a flow chart of the method of the present invention;

[0117] Figure 2 Design a flow chart for modularization of multi-energy parks;

[0118] Figure 3 This is the dispatch result diagram of the photovoltaic storage system in the multi-energy park.

[0119] Figure 4 The dispatch result diagram for the multi-energy park includes all equipment in winter and summer. DETAILED DESCRIPTION

[0120] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0121] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0122] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0123] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0124] The accompanying drawings show various structural schematic diagrams of the embodiments disclosed in the present invention. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0125] The present invention provides a real-time electric and thermal scheduling method for a park that is adaptable to a combination of multi-energy equipment in multiple scenarios. By independently modeling the components, the free combination of multi-energy park equipment can be flexibly realized, and the types and quantities of components can be easily expanded. By splitting into different unit modules, a complete set of real-time scheduling control processes including input, prediction, component modeling, core calculation, output, and statistical analysis are functionally implemented. In addition, through the coordination of multi-time scale scheduling and the power correction of equipment in real-time scheduling, the public connection point of the multi-energy park is always within a stable range, ensuring the continuous and stable operation of the multi-energy park; finally, for the two typical scenarios of winter and summer, two different real-time scheduling methods for electric and thermal coupling are proposed, with clear logic, concise methods, and close connection with the actual operating conditions of the equipment, meeting the requirements of actual operation.

[0126] See also Figure 1 The present invention provides a real-time dispatching method for electric heating in a park that is adaptable to a combination of multi-energy devices in multiple scenarios, comprising the following steps:

[0127] S1. According to the actual configuration of the multi-energy park, equipment selection and static parameter configuration are carried out from multiple controllable devices such as photovoltaics, energy storage, electric vehicle charging piles, CHP units, heat pumps, heat storage tanks, air conditioners, etc., to achieve flexible combination of equipment;

[0128] Controllable equipment includes photovoltaics, energy storage, V2G charging piles, CHP units, air source heat pumps, heat storage tanks and central air conditioning. As the scale of the park continues to expand, the number and types of equipment will continue to increase, and the addition or deletion of equipment or components can be flexibly achieved.

[0129] The static parameters of the components include: installed capacity of photovoltaics; rated capacity, maximum and minimum charge states, maximum and minimum charge and discharge powers, and charge and discharge efficiency of energy storage; capacity and number of connectors of V2G charging piles; installed capacity, maximum and minimum technical output, up and down ramp rates, shortest start and stop time, electric thermal power efficiency, and power loss coefficient of CHP units; installed capacity, up and down ramp rates, and energy efficiency ratio of air source heat pumps; maximum and minimum heat storage capacity, maximum and minimum charge and discharge powers, charge and discharge efficiency, and heat loss factor of heat storage tanks; rated frequency, rated power, rated cooling power, minimum control coefficient, and power-frequency coefficient of central air conditioners.

[0130] Taking energy storage as an example, the static parameters of the components include: rated capacity of energy storage, maximum and minimum charge states, maximum and minimum charge and discharge powers, and charge and discharge efficiency.

[0131] S2. For the current period when the multi-energy park is actually online, determine whether the scene in which the multi-energy park is located is winter or summer, and select different electrical equipment and thermal equipment for actual operation of the multi-energy park according to the season according to the equipment parameter table obtained in step S1, and obtain information of the corresponding online equipment;

[0132] In winter, the main operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles, and CHP units; the main operating thermal equipment includes: air source heat pumps, CHP units, and heat storage tanks. At this time, the outdoor ambient temperature is lower than the indoor room temperature. Maintaining a comfortable room temperature requires relying on the above heating equipment. At the same time, it also needs to meet the supply of general heat loads such as water heaters and domestic hot water.

[0133] Judging whether the current scene is in winter or summer and selecting different electrical equipment and thermal equipment for use in the multi-energy park according to different seasons specifically means: the multi-energy park to which this method is applied can be summarized into two typical scenes of winter and summer from the perspective of actual online operation, and winter and summer have their own independent electrical balance and thermal balance respectively.

[0134] In summer, the main operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles and central air conditioning. The above equipment and the interconnection lines work together to achieve the electrical power balance of the multi-energy park. The central air conditioning is responsible for cooling and regulating the indoor room temperature of the building to ensure that the room temperature always remains within the human comfort range.

[0135] In winter, the main operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles, and CHP units; the main operating thermal equipment includes: air source heat pumps, CHP units, and heat storage tanks. At this time, the outdoor ambient temperature is lower than the indoor room temperature. Maintaining a comfortable room temperature requires relying on the above heating equipment. At the same time, it also needs to meet the supply of general heat loads such as water heaters and domestic hot water.

[0136] S3. Select the underlying data acquisition device of the electric and thermal equipment in step S2 to obtain the actual operating status and real-time operating data of each type of equipment, and upload it to the database for use in actual operation. Then, according to the number of current operating periods, obtain the scheduling reference value obtained by the day-ahead scheduling or rolling scheduling calculation in multiple time scales;

[0137] Taking the air source heat pump as an example, it is necessary to obtain its real-time power consumption and heat generation power. At the same time, it is also necessary to obtain the day-ahead and day-intraday rolling scheduling values ​​stored in the database as a reference for real-time scheduling control.

[0138] Obtaining the actual operating status and real-time operating data of various types of equipment currently refers to: the real-time installed power of photovoltaics; the real-time charging and discharging power and charge status of energy storage; the real-time charge status and real-time charging load power of electric vehicles; the real-time electric power and thermal power of CHP units; the real-time power consumption and heat generation power of air source heat pumps; the real-time heat storage capacity and real-time charging and discharging power of heat storage tanks; the real-time power consumption and real-time cooling capacity of central air conditioners.

[0139] Obtaining the dispatch reference value obtained by the day-ahead dispatch or rolling dispatch calculation in multiple time scales means that during the multi-time scale coordination and cooperation process, the multi-energy park needs to conduct day-ahead dispatch in the initial period of the day, divide the day into 96 points with a time interval of 15 minutes, and calculate the planned output of each equipment actually online at 96 points on the same day. At the same time, intraday rolling dispatch is performed at the hourly period of the day to correct the day-ahead dispatch plan, so as to determine the equipment dispatch plan after the hourly point, which is used as a reference for the real-time dispatch of the multi-energy park. On the basis of the dispatch reference value, the actual output of the equipment is corrected, so that the multi-energy park can always maintain a stable operation state.

[0140] S4. Based on the current operating conditions of the selected equipment in the multi-energy park obtained in step S3, independent component modeling is performed on the equipment actually in operation in the multi-energy park, and the current up and down adjustment capacity of each equipment is calculated using a heuristic algorithm. The real-time dispatching control results of each equipment in the multi-energy park are obtained using a heuristic algorithm;

[0141] At the beginning of real-time scheduling, the upper and lower adjustment capacities of the equipment are calculated respectively, and based on the electric power deviation obtained from the interconnection line power deviation value and the thermal power deviation calculated from the room temperature deviation value, each controllable device is called in turn to make up the deviation, and finally the scheduling correction amount of each type of equipment and the actual operating power value after scheduling are obtained.

[0142] Independent component modeling is performed on the equipment actually running online in the multi-energy park, and the heuristic algorithm is used to calculate the current up and down adjustment capacity of each device. It means that for different scenarios, different equipment is actually running online. In summer, photovoltaics, energy storage, V2G charging piles and central air conditioners are mainly used. The real-time scheduling method needs to first determine the up and down adjustment capacity of each device before it can be adjusted according to certain rules.

[0143] The upward and downward adjustment capacities of photovoltaic output are:

[0144]

[0145]

[0146]

[0147]

[0148] Among them, N PV Represents the total number of photovoltaic power stations, represents the predicted output of the ith PV power station in period t (kW) a day ago, represents the real-time output of the ith PV power station in period t (kW), represents the real-time upward adjustment capacity of the ith PV power station in period t (kW), represents the real-time upward adjustment capacity of all PV power stations in period t (kW), represents the real-time downward adjustment capacity of the ith PV power station in period t (kW), It represents the real-time downward regulation capacity (kW) of all PV power plants during period t.

[0149] In the real-time dispatching process, the limitations of the power regulation capacity and the power regulation capacity of the energy storage battery group need to be considered. The real-time upward and downward regulation capacity is:

[0150]

[0151]

[0152]

[0153]

[0154] Among them, N ESS represents the total number of energy storage devices, and They represent the upward adjustment capacity (kW) and downward adjustment capacity (kW) of the i-th energy storage device in period t, respectively. i ESS,dis,max and P i ESS,cha,min They represent the maximum discharge power (kW) and maximum charging power (kW) of the i-th energy storage device, respectively. and They represent the discharge power (kW) and charging power (kW) of the i-th energy storage device in period t, respectively. represents the battery capacity of the i-th energy storage device (kWh), represents the real-time charge state of the i-th energy storage device, and They represent the maximum state of charge and minimum state of charge of the i-th energy storage device, respectively. and represent the discharge efficiency and charging efficiency of the i-th energy storage device, respectively. Indicates the real-time scheduling time interval, and They represent the upward regulation capacity (kW) and upward regulation capacity (kW) of all energy storage devices in period t respectively.

[0155] Classify according to load level, and give priority to dispatching electric vehicle loads with large real-time up and down adjustment capabilities. At this time, determine whether the electric vehicle connected to the V2G charging pile meets the feedback power standard. If it has a certain up and down adjustment capability, dispatch it to feedback power to the multi-energy park or reduce its charging power. The upward and downward adjustment capacities of the V2G charging pile are:

[0156]

[0157]

[0158]

[0159]

[0160] Among them, N EV represents the total number of V2G electric vehicles, and They represent the upward adjustment capacity (kW) and downward adjustment capacity (kW) of the i-th V2G electric vehicle in period t, represents the real-time access status of the i-th V2G electric vehicle in period t, represents the real-time discharge state of the i-th V2G electric vehicle in period t, P i EV,dis,max and P i EV,cha,min They represent the maximum discharge power (kW) and maximum charging power (kW) of the i-th V2G electric vehicle, and They represent the discharge power (kW) and charging power (kW) of the i-th V2G electric vehicle in period t, represents the battery capacity of the i-th V2G electric vehicle (kWh), represents the real-time state of charge of the i-th V2G electric vehicle, and They represent the maximum state of charge and minimum state of charge of the i-th V2G electric vehicle, and They represent the discharge efficiency and charging efficiency of the i-th V2G electric vehicle, Indicates the real-time scheduling time interval, and They represent the upward regulation capacity (kW) and upward regulation capacity (kW) of all V2G electric vehicles in period t, respectively.

[0161] The modeling of building central air conditioning load is the basis for studying the combined control strategy of air conditioning operation characteristics, energy efficiency analysis, and control methods. In addition, the air conditioning in the park is mainly used in cooling mode, that is, the outdoor temperature is higher than the set temperature during the working period. The specific real-time scheduling model is:

[0162] The upward adjustment capacity of the air conditioner is:

[0163]

[0164]

[0165] if

[0166]

[0167]

[0168] else

[0169]

[0170]

[0171]

[0172]

[0173]

[0174] The downward adjustment capacity of the air conditioner is:

[0175]

[0176]

[0177]

[0178]

[0179]

[0180]

[0181] Among them, N RM and N AC Represent the number of rooms and air conditioners respectively. represents the start and stop status of the kth air conditioner in the jth room during time period t, and They represent the maximum operating power (kW) and minimum operating power (kW) of the kth air conditioner in the jth room, and They represent the maximum operating power (kW) corresponding to the maximum cooling capacity and the minimum operating power (kW) corresponding to the minimum cooling capacity of the kth air conditioner in the jth room during period t, respectively, subject to the indoor temperature of the room. and are the maximum frequency (Hz) and minimum frequency (Hz) of the kth air conditioner in the jth room, and is the maximum cooling capacity (kW) and minimum cooling capacity (kW) of the kth air conditioner in the jth room at time period t, subject to the room’s indoor temperature. and represent the heat capacity (J·kg) of the air supplied by the kth air conditioner in the jth room. -1 ℃ -1 ) and the heat capacity of the jth room (J·kg -1 ℃ -1 ), and The maximum indoor temperature (°C) and the maximum indoor temperature (°C) of the jth room, respectively, and represent the real-time indoor temperature (℃) and real-time outdoor ambient temperature (℃) of the jth room respectively, Thermal conductivity between the jth room and the outdoor environment (W / ℃), and They represent the upward adjustment capacity (kW) and downward adjustment capacity (kW) of the kth air conditioner in the jth room during period t, respectively. and They represent the total upward adjustment capacity (kW) and downward adjustment capacity (kW) of all air conditioners in all rooms during period t respectively.

[0182] In summer, as the only control device for heat balance, central air conditioning is responsible for maintaining the room temperature within the human comfort range by consuming electrical power to generate cooling power. Among them, this method mainly considers an equivalent thermal model of central air conditioning load in public buildings that takes into account building, equipment and meteorological factors, that is, assuming that one room (area) is equipped with one indoor unit, so the first-order thermal dynamic model of the building established is:

[0183]

[0184] in, is the indoor temperature of the jth room at the tth period; is the heat capacity of the jth room; is the thermal conductance between the jth room and the outdoor environment; is the outdoor ambient temperature during period t.

[0185] To ensure comfort requirements, the indoor temperature should meet the following requirements:

[0186]

[0187] in, and are the upper and lower limits of the indoor temperature of the jth room respectively.

[0188] Therefore, the thermal power balance equation is:

[0189]

[0190] in, The cooling power of the i-th central air conditioner in time period t (kW), It is the cooling load (kW) required for indoor cooling of the building during period t.

[0191] The power balance is ensured by other working equipment and interconnection lines in summer, so the power balance equation is:

[0192]

[0193] in, represents the real-time output of the ith PV power station in period t (kW), and They represent the charging and discharging power (kW) of the i-th energy storage device in period t, and They represent the discharge power (kW) and charging power (kW) of the i-th V2G electric vehicle in period t, represents the real-time power consumption (kW) of the i-th central air conditioner during period t, P t buy , P t sell are the power purchase and sale on the interconnection line of the multi-energy park in the tth period (kW), P t LD is the electric load (kW) of the multi-energy park in the tth period.

[0194] In winter, because central air conditioning is mainly used when the indoor room temperature is higher than the outdoor ambient temperature, the actual online operation of central air conditioning is not considered in winter. In addition to the photovoltaic, energy storage, and V2G charging pile equipment used in summer, the multi-energy park also has CHP units, air source heat pumps, and heat storage tanks to work, thereby ensuring that the indoor room temperature can always be within the human comfort range in winter. The real-time scheduling method also needs to first determine the up and down adjustment capacity of each device, and then make up for the electric power deviation and thermal power deviation according to certain rules.

[0195] While consuming natural gas, the cogeneration unit can generate both electricity and heat. Therefore, the commonly used method of combined electricity and heat treatment is to determine electricity based on heat, that is, to take its thermal power balance as a constraint that needs to be met first. By considering the thermal regulation capacity of the cogeneration unit, it can balance the deviation between the actual room temperature and the planned temperature, thereby meeting the thermal power balance of the multi-energy park. The upper and lower regulation capacities of the cogeneration unit are:

[0196]

[0197]

[0198]

[0199]

[0200]

[0201]

[0202] Among them, N CHP represents the total number of CHP gas generators, and They represent the upward regulation capacity (kW) and downward regulation capacity (kW) of the i-th CHP gas generator in period t, and They represent the upward regulation heat capacity (kW) and downward regulation heat capacity (kW) of the i-th CHP gas generator in period t, respectively. represents the start and stop status of the i-th CHP gas generator in period t (start is 1, shutdown is 0), P i CHP,max and P i CHP,min They represent the maximum technical output (kW) and minimum technical output (kW) of the i-th cogeneration gas generator, represents the real-time output power (kW) of the i-th CHP gas generator in period t, and represents the maximum upward ramp rate (kW / h) and maximum downward ramp rate (kW / h) of the i-th CHP gas generator, and Δt represent the real-time scheduling time interval and the day-ahead scheduling time interval, respectively. represents the maximum charging power (kW) of the heat storage device corresponding to the i-th CHP gas generator, and They represent the power generation efficiency and heat loss coefficient of MT corresponding to the i-th CHP gas generator in period t, and They represent the maximum heat storage energy (kWh) of the heat storage device corresponding to the i-th cogeneration gas generator and the real-time energy value (kWh) of the heat storage device corresponding to the i-th cogeneration gas generator in period t, respectively. and They represent the upward regulation capacity (kW) and upward regulation capacity (kW) of all CHP gas generators in period t, respectively.

[0203] Air source heat pump is a device that consumes electrical power to generate thermal power. It also needs to play a certain role in balancing thermal power deviation. Its upper and lower adjustment capacities are:

[0204]

[0205]

[0206]

[0207]

[0208]

[0209]

[0210] Among them, N HP represents the total number of air source heat pumps, and They represent the upward adjustment capacity (kW) and downward adjustment capacity (kW) of the kth air source heat pump in period t, and They represent the upward adjustment heat capacity (kW) and downward adjustment heat capacity (kW) of the kth air source heat pump in period t, respectively. represents the maximum technical output (kW) of the kth air source heat pump and, represents the real-time output power (kW) of the kth air source heat pump in period t, and represents the maximum upward ramp rate (kW / h) and maximum downward ramp rate (kW / h) of the kth air source heat pump, and Δt represent the real-time scheduling time interval and the day-ahead scheduling time interval, respectively. and They represent the upward regulation capacity (kW) and upward regulation capacity (kW) of all air source heat pumps in period t respectively.

[0211] The heat storage tank is similar to electric energy storage and is a device used to store heat. Similar to electric energy storage, it also contains variables such as heat storage capacity and charging and discharging heat power. When the room temperature heat load and general heat load are met, the excess heat will be stored in the heat storage tank. When the heating equipment does not supply enough heat, the heat will be released again to ensure that the multi-energy park always operates under economical and stable operating conditions. The upper and lower adjustment capacity of the heat storage tank is:

[0212]

[0213]

[0214]

[0215]

[0216] Where N TSS Represents the total number of thermal storage tank equipment, and represents the upward adjustment capacity (kW) and downward adjustment capacity (kW) of the i-th heat storage tank device in period t, respectively, P i TSS,dis,max and P i TSS,cha,min They represent the maximum heat release power (kW) and maximum heat charging power (kW) of the i-th heat storage tank device, respectively. and They represent the heat release power (kW) and heat charging power (kW) of the i-th heat storage tank device in period t, represents the heat storage capacity of the i-th heat storage tank device, represents the real-time heat storage of the i-th heat storage tank device, and They represent the maximum and minimum heat storage of the i-th heat storage tank device, and They represent the heat release efficiency and heat charging efficiency of the i-th heat storage tank device, Indicates the real-time scheduling time interval, and They represent the upward regulation capacity (kW) and the upward regulation capacity (kW) of all heat storage tank devices in period t respectively.

[0217] In winter, due to the addition of heating equipment, the relevant content of thermal balance will become more complicated. Moreover, since heat pumps and cogeneration units are related to both electric and thermal energy, the joint scheduling of electricity and heat needs to be given special consideration in the real-time scheduling and control process. In order to simplify the scheduling process, we also adopt the method of determining electricity by heat. We first treat thermal balance as a constraint to determine the specific output of the thermal output equipment, and then determine its power consumption or power supply based on its thermal output. After correcting its actual output, it is applied to the electric power balance.

[0218] Therefore, in winter, the thermal deviation caused by the deviation between the indoor room temperature and the predicted room temperature must first be balanced in real-time scheduling, so the thermal balance equation is:

[0219]

[0220] in, and is the charging and discharging power of the i-th heat storage tank in time period t (kW), is the heat release power (kW) of the i-th air source heat pump in time period t, The heat release power of the i-th cogeneration unit in time period t (kW), The thermal power deviation (kW) caused by the temperature deviation of the jth room in time period t, is the general heat load (kW) during period t.

[0221] After determining the heat output of the thermal equipment, the electrical balance equation of the multi-energy park in winter is:

[0222]

[0223] in, represents the real-time output of the ith PV power station in period t (kW), and They represent the charging and discharging power (kW) of the i-th energy storage device in period t, and They represent the discharge power (kW) and charging power (kW) of the i-th V2G electric vehicle in period t, represents the real-time output power (kW) of the i-th CHP gas generator in period t, represents the real-time output power (kW) of the kth air source heat pump in period t, P t buy , P t sell are the power purchase and sale on the interconnection line of the multi-energy park in the tth period (kW), Pt LD is the electric load (kW) of the multi-energy park in the tth period.

[0224] S5. The real-time dispatching results of the multi-energy park are stored in a public database, and the dispatching corrections and power reference values ​​of various types of equipment are sent to the controllers of various types of equipment using the HTTP communication protocol in the json data format, so as to realize the dispatching control of the equipment in a single period throughout the day.

[0225] The multi-energy park stores the real-time dispatch results in a public database, and sends the dispatch corrections and power reference values ​​of various types of equipment to the controllers of various types of equipment using the HTTP communication protocol in the json data format. Specifically, the equipment status information and equipment static parameters collected in real time by the multi-energy park, as well as the calculated real-time dispatch results, need to be stored in a public database. The real-time dispatch control center and the equipment controller exchange data through the database. HTTP is an object-oriented protocol belonging to the application layer. Due to its simplicity and speed, it is suitable for distributed hypermedia information systems. The HTTP communication protocol is used here for data transmission.

[0226] The dispatching and control of single-period equipment throughout the day and the real-time dispatching and control of the multi-energy park as a whole throughout the day are specifically as follows: During the real-time dispatching and control process, the whole day is divided into 288 single time periods with a time interval of 5 minutes, and real-time dispatching and control are performed every 5 minutes. At the same time, a rolling dispatch is required for each hour period. Therefore, before the real-time dispatching and control of a single period, not only the status information collected by the current equipment must be read, but also the results of the intraday rolling must be used as a reference value. A total of 288 real-time dispatches are performed throughout the day. The accumulation of the results of the 288 time periods throughout the day is the complete dispatching and control process of the multi-energy park throughout the day.

[0227] In another embodiment of the present invention, a real-time scheduling system for campus electricity and heating that can adapt to multi-scenario combinations of multi-energy equipment is provided. The system can be used to implement the above-mentioned real-time scheduling method for campus electricity and heating that can adapt to multi-scenario combinations of multi-energy equipment. Specifically, the real-time scheduling system for campus electricity and heating that can adapt to multi-scenario combinations of multi-energy equipment includes a parameter module, a selection module, a data module, a calculation module and a scheduling module.

[0228] Among them, the parameter module selects equipment from the controllable equipment and configures the static parameters of the selected equipment according to the actual operation of the multi-energy park, and obtains the equipment parameter table;

[0229] The selection module determines the current online operation scenario of the multi-energy park according to the equipment parameter table obtained by the parameter module, and selects different electrical equipment and thermal equipment for the actual operation of the multi-energy park;

[0230] The data module obtains the current actual operating status and real-time operating data of each type of equipment according to the different electrical equipment and thermal equipment selected by the selection module, and obtains the dispatch reference value obtained by the day-ahead dispatch or rolling dispatch calculation in multiple time scales according to the current number of operating time periods;

[0231] The calculation module models the components of the equipment actually running online in the multi-energy park according to the current operating conditions and dispatch reference values ​​of each device in the multi-energy park in the data module, calculates the upper and lower adjustment capacity of each component, and uses a heuristic algorithm to obtain the real-time dispatch control results of each device in the multi-energy park;

[0232] The scheduling module uses the scheduling correction and power reference values ​​of various types of equipment in the real-time scheduling results of the multi-energy park obtained by the calculation module to realize the scheduling control of equipment in a single period throughout the day.

[0233] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0234] The real-time electric and thermal scheduling method for a park that is adaptable to the flexible combination of multi-scenario equipment and multi-energy equipment proposed in the present invention has been applied in an actual multi-energy park. In order to highlight the compatibility and scalability of the proposed method, a case study was designed. Three typical scenarios were designed to verify the flexible combination of equipment in the proposed method and the availability of the electric and thermal joint scheduling method. Scenario one is a photovoltaic storage system, and the equipment only includes photovoltaics and energy storage. Scenario two is the actual operation of a multi-energy park in summer. The equipment actually online includes: photovoltaics, energy storage, V2G charging piles, and central air conditioning. Scenario three is the actual operation of a multi-energy park in winter. The equipment actually online includes: photovoltaics, energy storage, V2G charging piles, cogeneration units, air source heat pumps, and heat storage tanks.

[0235] See also Figure 2The proposed multi-scenario and multi-energy equipment combination park electric heating real-time scheduling system actually includes the following modules, namely: general module, standard input module, component module, real-time scheduling core calculation module, standard output module and statistical analysis module. The general module mainly includes constant configuration, standard functions, switch settings, header file references and other basic contents required by the software. The standard input module is responsible for reading data for use by the real-time scheduling core calculation module. The component module splits the equipment according to components for actual scheduling operation. The real-time scheduling core calculation module is responsible for the real-time scheduling process during actual operation. The standard output module is used to output the results of the core calculation. The statistical analysis module is responsible for converting the results into standard indicators that are easy to understand and display for output. The six modules are independent of each other and rely on each other to form a unified whole.

[0236] See also Figure 3 ,The real-time dispatch result diagram of the photovoltaic storage system,The proposed multi-scenario adaptable multi-energy equipment combination park electric and heat real-time dispatch method can realize the flexible combination of equipment. The photovoltaic storage system is the most basic system of the multi-energy park. Other new components can be expanded on this system. From the results, it can be seen that the working principle of the photovoltaic storage system is that when the photovoltaic power is high, the energy storage is charged and the excess electricity is sold to the grid. When the photovoltaic power is low and the electricity price is high, the energy storage is discharged and the electricity is sold to the grid for profit. As the most basic system, the photovoltaic storage system, its electric power deviation mainly comes from the randomness and volatility of photovoltaic power, and the regulation capacity mainly depends on the capacity of energy storage. In this example, the energy storage capacity is sufficient, so the real-time dispatched interconnection line power can closely follow the power plan curve of the day before, ensuring the stability of the multi-energy park operation.

[0237] See also Figure 4 , which are the real-time dispatching results of the online operation of all equipment in the multi-energy park in summer and winter respectively. In summer, the main equipment in operation are photovoltaic, energy storage, V2G charging piles and central air conditioning. After considering the economic benefits of the park operation, this example restricts the operation time of the central air conditioning in the public area, and sets the time from 8 am to 18 pm. From the dispatching results, V2G basically runs at the same power all day under the arrangement of the dispatching center, which greatly improves the service life and average utilization rate of the charging pile; due to the large cooling load and the high electricity price period during the cooling period, before the air conditioner is turned on, the energy storage device is running in the charging state, preparing for the large amount of electricity consumption in the subsequent stage, so that the subsequent interconnection line purchase of electricity is at a low level, which improves the economy of the system operation.

[0238] The main equipment in winter includes photovoltaic, energy storage, V2G charging piles, hot and cold combined power generation units, air source heat pumps and thermal storage tanks. Compared with the operation mode in summer, the thermal and electric coupling of winter operation is improved with the participation of the combined heat and power unit, and the scheduling difficulty is also increased. The operation goal of this system is to meet the heat demand of residents for the room, general heat load (hot shower, industrial hot water, etc.), and the demand for electricity load, and the park operation is the lowest economic. From the dispatch curve, since the cost of operating the combined heat and power unit is much higher than that of the air source heat pump, when the temperature is low at night and the heat demand is high, the total heat load of the park is mainly balanced by air source heat pumps and thermal storage tanks. Due to the lack of power supply, electricity is purchased from the large power grid during this period, but the cost of purchasing electricity is low at this time. With the rise in electricity prices and the work of photovoltaics, the combined heat and power unit as a thermal power hub has also begun to operate. Its heat production is used to balance the heat load, and the electricity produced is transmitted to the large power grid to obtain profits. Taking into account the start-up and shutdown costs and operation and maintenance costs of the cogeneration unit, after starting up, the operating status remains unchanged, and the entire park is in a state of selling electricity to the outside world most of the time, so the park's full-day operating costs are low. At the same time, the thermal and power balance is taken into account, and a certain adjustment margin is left, which improves the reliability of the park's operation.

[0239] As can be seen from Figure 4, the results calculated using the model that takes into account the heat energy loss of the heat storage tank show that the thermal energy storage device is not a simple energy buffer station, because its charging power throughout the day is not equal to the heat release power, which makes the model more consistent with reality and the scheduling results will be more accurate accordingly.

[0240] In summary, the present invention provides a method and system for real-time electric and thermal scheduling in a park that is adaptable to a combination of multi-energy equipment in multiple scenarios, allowing flexible expansion and free combination of controllable equipment within the multi-energy park. At the same time, the modular design method makes a whole set of real-time scheduling control processes more complete. The coordination of multiple time scales and the power control of real-time scheduling enable the multi-energy park to always be in a stable operating state. The joint scheduling method of electric and thermal coupling is also in line with the current development direction of the energy Internet, and plays a vital role in promoting the transformation of the energy structure and accelerating the consumption of renewable energy.

[0241] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0242] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0243] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0244] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0245] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A real-time dispatching method for electric heating in a park that can adapt to multiple scenarios and multiple energy equipment combinations, characterized in that: The following steps are involved: S1. According to the actual operation of the multi-energy park, select equipment from the controllable equipment and configure the static parameters of the selected equipment to obtain the equipment parameter table; S2. According to the equipment parameter table obtained in step S1, the actual online operation scenario of the current multi-energy park is judged, and different electrical equipment and thermal equipment are selected for actual operation of the multi-energy park; S3. According to the different electrical equipment and thermal equipment selected in step S2, the current actual operating status and real-time operating data of each type of equipment are obtained, and according to the current number of operating time periods, the scheduling reference value obtained by the day-ahead scheduling or rolling scheduling calculation in multiple time scales is obtained; S4. According to the dispatch reference value obtained in step S3 and the operating conditions of each device in the multi-energy park, component modeling is performed on the devices actually running online in the multi-energy park. By calculating the upper and lower adjustment capacity of each component, a heuristic algorithm is used to obtain the real-time dispatch control results of each device in the multi-energy park. Component modeling of the devices actually running online in the multi-energy park is performed as follows: after the real-time dispatching starts, the upper and lower adjustment capacities of the devices are calculated respectively, and according to the electric power deviation obtained by the interconnection line power deviation value and the thermal power deviation calculated by the room temperature deviation value, each controllable device is called in turn to make up the deviation, and finally the dispatch correction amount of each device and the actual operating power value after dispatching are obtained; Controllable equipment in summer includes photovoltaic, energy storage, V2G charging piles and central air conditioning; controllable equipment in winter includes photovoltaic, energy storage, V2G charging pile equipment, CHP units, air source heat pumps and heat storage tanks; In summer, the upward and downward adjustment capacities of photovoltaic output are: in, Represents the total number of photovoltaic power stations, express t Time period i The predicted output of each photovoltaic power station a day ago, express t Time period i The real-time output of each photovoltaic power station, express t Time period i Real-time upward adjustment of capacity of each photovoltaic power station, express t Real-time upward adjustment of capacity of all PV power stations during the period, express t Time period i Real-time downward adjustment of capacity of PV power stations, express t Real-time downward adjustment capacity of all PV power stations during the period; The real-time upward and downward adjustment capacity is: in, represents the total number of energy storage devices, and Respectively t Time period i The upward and downward adjustment capacities of each energy storage device are and Respectively represent i The maximum discharge power and maximum charging power of each energy storage device, and Respectively t Time period i The discharge power and charging power of each energy storage device are Indicates i The battery capacity of the energy storage device, Indicates i The real-time charge status of each energy storage device, and Respectively represent i The maximum state of charge and minimum state of charge of each energy storage device, and Respectively represent i The discharge efficiency and charging efficiency of each energy storage device are represents the real-time scheduling time interval, and Respectively t The upward adjustment capacity and upward adjustment capacity of all energy storage devices in the time period; The upward and downward adjustment capacities of the V2G charging pile are: in, represents the total number of V2G electric vehicles, and Respectively t Time period i The upward and downward regulation capacity of each V2G electric vehicle, express t Time period i The real-time access status of V2G electric vehicles, express t Time period i The real-time discharge status of each V2G electric vehicle, and Respectively represent i The maximum discharge power and maximum charging power of a V2G electric vehicle, and Respectively t Time period i The discharge power and charging power of a V2G electric vehicle, Indicates i The battery capacity of a V2G electric vehicle, Indicates i The real-time charge status of each V2G electric vehicle, and Respectively represent i The maximum state of charge and minimum state of charge of a V2G electric vehicle, and Respectively represent i The discharge efficiency and charging efficiency of a V2G electric vehicle, represents the real-time scheduling time interval, and Respectively t The upward regulation capacity and upward regulation capacity of all V2G electric vehicles in the period; The upward adjustment capacity of the air conditioner is: The downward adjustment capacity of the air conditioner is: in, and Represent the number of rooms and air conditioners respectively. express t Time period j Room k The start and stop status of the air conditioner. and Respectively represent j Room k The maximum and minimum operating power of the air conditioner. and Respectively t Time period j Room k The maximum operating power corresponding to the maximum cooling capacity and the minimum operating power corresponding to the minimum cooling capacity of the air conditioner limited by the indoor temperature of the room. and They are j Room k The maximum and minimum frequencies of the air conditioners. and yes t Time period j Room k The maximum and minimum cooling capacity of an air conditioner is limited by the room temperature. and Respectively represent j Room k The heat capacity of the air supplied by the first air conditioner and the j The heat capacity of a room, and Separate j The maximum indoor temperature and maximum indoor temperature of each room, and Respectively represent j Real-time indoor temperature and real-time outdoor ambient temperature of each room, No. j The thermal conductivity between a room and the outdoor environment, and Respectively t Time period j Room k The upward and downward adjustment capacity of an air conditioner, and Respectively t The total upward adjustment capacity and downward adjustment capacity of all air conditioners in all rooms during the period; The first-order thermal dynamic model of a building in summer is: in, For the Room No. Indoor temperature during the time period; For the The heat capacity of a room; For the Thermal conduction between a room and the outdoor environment; For the The outdoor ambient temperature during the time period; The thermal power balance equation is: in, No. i Central air conditioner during the period t The cooling power, The cooling load required for indoor cooling of the building during period t; The electric power balance equation is: in, express t Time period i The real-time output of each photovoltaic power station, and Respectively t Time period i The charging and discharging power of each energy storage device, and Respectively t Time period i The discharge power and charging power of a V2G electric vehicle, express t Time period i The real-time power consumption of a central air conditioner, , They are respectively The power purchase and sale on the period interconnection line, For the multi-functional park t The electrical load during the period; In winter, the upper and lower adjustment capacities of the cogeneration units are: in, represents the total number of CHP gas generators, and Respectively t Time period i The upward and downward regulation capacity of the combined heat and power gas generators, and Respectively t Time period i The upward and downward regulating heat capacity of the combined heat and power gas generator, express t Time period i The start and stop status of a combined heat and power gas generator, and Respectively represent i The maximum and minimum technical output of a combined heat and power gas generator, express t Time period i The real-time output power of the combined heat and power gas generator, and Indicates i The maximum ramp-up rate and the maximum ramp-down rate of a combined heat and power gas generator, and They represent the real-time scheduling time interval and the day-ahead scheduling time interval respectively. Indicates The maximum charging power of the heat storage device corresponding to the combined heat and power gas generator, and Respectively t Time period i The power generation efficiency and heat loss coefficient of MT corresponding to each cogeneration gas generator, and Respectively represent The maximum heat storage capacity of the heat storage device corresponding to the combined heat and power gas generator and t Time period i The real-time energy value of the heat storage device corresponding to each cogeneration gas generator, and Respectively t the regulation-up and regulation-down capacities of all CHP gas generators during the period; The upper and lower adjustment capacities of the air source heat pump are: in, represents the total number of air source heat pumps, and Respectively t Time period k The upward and downward adjustment capacity of an air source heat pump, and Respectively t Time period k The upward and downward regulating heat capacity of an air source heat pump, Indicates k The maximum technical output of an air source heat pump and express t Time period k The real-time output power of an air source heat pump, and Indicates k The maximum upward climbing rate and the maximum downward climbing rate of an air source heat pump are and They represent the real-time scheduling time interval and the day-ahead scheduling time interval respectively. and Respectively t The turn-up and turn-down capacities of all air source heat pumps during the time period; The up and down adjustment capacity of the heat storage tank is: in, Represents the total number of thermal storage tank equipment, and Respectively t Time period i The upward and downward adjustment capacity of each heat storage tank device, and Respectively represent i The maximum heat release power and maximum heat charging power of each heat storage tank device, and Respectively t Time period i The heat release power and heat charging power of each heat storage tank device, Indicates i The heat storage capacity of the heat storage tank device is Indicates i The real-time heat storage of each heat storage tank device, and Respectively represent i The maximum and minimum heat storage of each heat storage tank device. and Respectively represent i The heat release efficiency and heat charging efficiency of each heat storage tank device are represents the real-time scheduling time interval, and Respectively t The upward adjustment capacity and upward adjustment capacity of all thermal storage tank devices during the period; The heat balance equation is: in, and For the i Thermal storage tanks in the period t The charging and discharging heat power, For the i Air source heat pumps in the period t The heat release power, No. i The cogeneration units are t The heat release power, No. j Rooms during the period t Thermal power deviation caused by temperature deviation (kW), is the general heat load during period t; The electrical balance equation of the multi-energy park in winter is: in, express t Time period i The real-time output of each photovoltaic power station, and Respectively t Time period i The charging and discharging power of each energy storage device, and Respectively t Time period i The discharge power and charging power of a V2G electric vehicle, express t Time period i The real-time output power of the combined heat and power gas generator, express t Time period k The real-time output power of an air source heat pump, , They are respectively The power purchase and sale on the period interconnection line, For the multi-functional park t The electrical load during the period; S5. Use the dispatch correction amount and power reference value of each type of equipment in the real-time dispatch result of the multi-energy park obtained in step S4 to realize the dispatch control of equipment in a single period throughout the day.

2. The real-time dispatching method for electric heating in a park with multi-scenario adaptability and multi-energy equipment combination according to claim 1 is characterized in that: In step S1, the devices selected from the controllable devices include photovoltaics, energy storage, V2G charging piles, CHP units, air source heat pumps, heat storage tanks and central air conditioners; the static parameters of the components include: installed capacity of photovoltaics; rated capacity, maximum and minimum charge states, maximum and minimum charge and discharge powers, and charge and discharge efficiency of energy storage; capacity and number of connectors of V2G charging piles; installed capacity, maximum and minimum technical output, up and down ramp rates, shortest start and stop time, electric thermal power efficiency, and power loss coefficient of CHP units; installed capacity, up and down ramp rates, and energy efficiency ratio of air source heat pumps; maximum and minimum heat storage capacity, maximum and minimum charge and discharge heat powers, charge and discharge heat efficiency, and heat loss factor of heat storage tanks; rated frequency, rated power, rated cooling power, minimum control coefficient, and power-frequency coefficient of central air conditioners.

3. The real-time dispatching method for electric heating in a park with multi-scenario adaptability and multi-energy equipment combination according to claim 1 is characterized in that: In step S2, the actual online operation scenario of the current multi-energy park is judged, and the scenarios include summer and winter. By judging the current scenario, the types of electrical equipment and thermal equipment online in the specific park are obtained. In summer, the operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles and central air-conditioning. Photovoltaics, energy storage, V2G charging piles and central air-conditioning and interconnection lines jointly achieve the electric power balance of the multi-energy park. The central air-conditioning is responsible for cooling and regulating the indoor room temperature of the building; in winter, the operating electrical equipment includes: photovoltaics, energy storage, V2G charging piles and CHP units; the operating thermal equipment includes: air source heat pumps, CHP units and heat storage tanks.

4. The real-time dispatching method for electric heating in a park with multi-scenario adaptability and multi-energy equipment combination according to claim 1 is characterized in that: In step S3, the actual operating status and real-time operating data of each type of equipment are obtained, including: the real-time installed power of photovoltaics; the real-time charging and discharging power and charge state of energy storage; the real-time charge state and real-time charging load power of electric vehicles; the real-time electric power and thermal power of CHP units; the real-time power consumption and heat generation power of air source heat pumps; the real-time heat storage capacity and real-time charging and discharging power of heat storage tanks; the real-time power consumption and real-time cooling capacity of central air conditioners.

5. The method for real-time dispatching of electric heating in a park with multi-scenario adaptable multi-energy equipment combination according to claim 1 is characterized in that: In step S3, the dispatch reference value obtained by calculating the day-ahead dispatch or rolling dispatch in multiple time scales is obtained as follows: A day is divided into 96 points at 15-minute intervals, and the planned output of each device actually online at 96 o'clock on the day is calculated. At the same time, intraday rolling scheduling is carried out at the hourly period of the day to correct the previous day's scheduling plan, and the equipment scheduling plan after the hourly period is determined for reference by the real-time scheduling of the multi-energy park. Based on the scheduling reference value, the actual output of the equipment is corrected so that the multi-energy park can always maintain a stable operation state.

6. The real-time dispatching method for electric heating in a park with multi-scenario adaptable multi-energy equipment combination according to claim 1 is characterized in that: In step S5, the dispatch control of the equipment in a single period throughout the day is specifically as follows: In the real-time dispatching and control process, the whole day is divided into 288 single time periods with a time interval of every 5 minutes. Real-time dispatching and control are carried out every 5 minutes. At the same time, a rolling dispatch is required for each hourly period. Therefore, before the real-time dispatching and control of a single period, it is necessary not only to read the status information collected by the current equipment, but also to use the results of the daily rolling as a reference value. A total of 288 real-time dispatches are performed throughout the day. The accumulation of the results of the 288 time periods throughout the day is the complete dispatching and control process of the multi-energy park throughout the day.

7. A real-time dispatching system for electric heating in a park that can adapt to multiple scenarios and multiple energy equipment combinations, characterized in that: include: The parameter module selects equipment from the controllable equipment and configures the static parameters of the selected equipment according to the actual operation of the multi-energy park, and obtains the equipment parameter table; The selection module determines the current online operation scenario of the multi-energy park according to the equipment parameter table obtained by the parameter module, and selects different electrical equipment and thermal equipment for the actual operation of the multi-energy park; The data module obtains the current actual operating status and real-time operating data of each type of equipment according to the different electrical equipment and thermal equipment selected by the selection module, and obtains the dispatch reference value obtained by the day-ahead dispatch or rolling dispatch calculation in multiple time scales according to the current number of operating time periods; The calculation module models the components of the equipment actually running online in the multi-energy park according to the current operating conditions and dispatch reference values ​​of each device in the multi-energy park in the data module. By calculating the upper and lower adjustment capacity of each component, a heuristic algorithm is used to obtain the real-time dispatch control results of each device in the multi-energy park. The component modeling of the equipment actually running online in the multi-energy park is as follows: after the real-time dispatch starts, the upper and lower adjustment capacities of the equipment are calculated respectively, and according to the electric power deviation obtained by the interconnection line power deviation value and the thermal power deviation calculated by the room temperature deviation value, each controllable device is called in turn to make up the deviation, and finally the dispatch correction amount of each device and the actual operating power value after dispatch are obtained; Controllable equipment in summer includes photovoltaic, energy storage, V2G charging piles and central air conditioning; controllable equipment in winter includes photovoltaic, energy storage, V2G charging pile equipment, CHP units, air source heat pumps and heat storage tanks; In summer, the upward and downward adjustment capacities of photovoltaic output are: in, Represents the total number of photovoltaic power stations, express t Time period i The predicted output of each photovoltaic power station a day ago, express t Time period i The real-time output of each photovoltaic power station, express t Time period i Real-time upward adjustment of capacity of each photovoltaic power station, express t Real-time upward adjustment of capacity of all PV power stations during the period, express t Time period i Real-time downward adjustment of capacity of PV power stations, express t Real-time downward adjustment capacity of all PV power stations during the period; The real-time upward and downward adjustment capacity is: in, represents the total number of energy storage devices, and Respectively t Time period i The upward and downward adjustment capacities of each energy storage device are and Respectively represent i The maximum discharge power and maximum charging power of each energy storage device, and Respectively t Time period i The discharge power and charging power of each energy storage device are Indicates i The battery capacity of the energy storage device, Indicates i The real-time charge status of each energy storage device, and Respectively represent i The maximum state of charge and minimum state of charge of each energy storage device, and Respectively represent i The discharge efficiency and charging efficiency of each energy storage device are represents the real-time scheduling time interval, and Respectively t The upward adjustment capacity and upward adjustment capacity of all energy storage devices in the time period; The upward and downward adjustment capacities of the V2G charging pile are: in, represents the total number of V2G electric vehicles, and Respectively t Time period i The upward and downward regulation capacity of each V2G electric vehicle, express t Time period i The real-time access status of V2G electric vehicles, express t Time period i The real-time discharge status of each V2G electric vehicle, and Respectively represent i The maximum discharge power and maximum charging power of a V2G electric vehicle, and Respectively t Time period i The discharge power and charging power of a V2G electric vehicle, Indicates i The battery capacity of a V2G electric vehicle, Indicates i The real-time charge status of each V2G electric vehicle, and Respectively represent i The maximum state of charge and minimum state of charge of a V2G electric vehicle, and Respectively represent i The discharge efficiency and charging efficiency of a V2G electric vehicle, Indicates the real-time scheduling time interval, and Respectively t The upward regulation capacity and upward regulation capacity of all V2G electric vehicles in the period; The upward adjustment capacity of the air conditioner is: The downward adjustment capacity of the air conditioner is: in, and Represent the number of rooms and air conditioners respectively. express t Time period j Room k The start and stop status of the air conditioner. and Respectively represent j Room k The maximum and minimum operating power of the air conditioner. and Respectively t Time period j Room k The maximum operating power corresponding to the maximum cooling capacity and the minimum operating power corresponding to the minimum cooling capacity of the air conditioner limited by the indoor temperature of the room. and They are j Room k The maximum and minimum frequencies of the air conditioners. and yes t Time period j Room k The maximum and minimum cooling capacity of an air conditioner is limited by the room temperature. and Respectively represent j Room k The heat capacity of the air supplied by the first air conditioner and the j The heat capacity of a room, and Separate j The maximum indoor temperature and maximum indoor temperature of each room, and Respectively represent j Real-time indoor temperature and real-time outdoor ambient temperature of each room, No. j The thermal conductivity between a room and the outdoor environment, and Respectively t Time period j Room k The upward and downward adjustment capacity of an air conditioner, and Respectively t The total upward adjustment capacity and downward adjustment capacity of all air conditioners in all rooms during the period; The first-order thermal dynamic model of a building in summer is: in, For the Room No. Indoor temperature during the time period; For the The heat capacity of a room; For the Thermal conduction between a room and the outdoor environment; For the The outdoor ambient temperature during the time period; The thermal power balance equation is: in, No. i Central air conditioner during the period t The cooling power, The cooling load required for indoor cooling of the building during period t; The electric power balance equation is: in, express t Time period i The real-time output of each photovoltaic power station, and Respectively t Time period i The charging and discharging power of each energy storage device, and Respectively t Time period i The discharge power and charging power of a V2G electric vehicle, express t Time period i The real-time power consumption of a central air conditioner, , They are respectively The power purchase and sale on the period interconnection line, For the multi-functional park t The electrical load during the period; In winter, the upper and lower adjustment capacities of the cogeneration units are: in, represents the total number of CHP gas generators, and Respectively t Time period i The upward and downward regulation capacity of the combined heat and power gas generators, and Respectively t Time period i The upward and downward regulating heat capacity of the combined heat and power gas generator, express t Time period i The start and stop status of a combined heat and power gas generator, and Respectively represent i The maximum and minimum technical output of a combined heat and power gas generator, express t Time period i The real-time output power of the combined heat and power gas generator, and Indicates i The maximum ramp-up rate and the maximum ramp-down rate of a combined heat and power gas generator, and They represent the real-time scheduling time interval and the day-ahead scheduling time interval respectively. Indicates The maximum charging power of the heat storage device corresponding to the combined heat and power gas generator, and Respectively t Time period i The power generation efficiency and heat loss coefficient of MT corresponding to each cogeneration gas generator, and Respectively represent The maximum heat storage capacity of the heat storage device corresponding to the combined heat and power gas generator and t Time period i The real-time energy value of the heat storage device corresponding to each cogeneration gas generator, and Respectively t the regulation-up and regulation-down capacities of all CHP gas generators during the period; The upper and lower adjustment capacities of the air source heat pump are: in, represents the total number of air source heat pumps, and Respectively t Time period k The upward and downward adjustment capacity of an air source heat pump, and Respectively t Time period k The upward and downward regulating heat capacity of an air source heat pump, Indicates k The maximum technical output of an air source heat pump and express t Time period k The real-time output power of an air source heat pump, and Indicates k The maximum upward climbing rate and the maximum downward climbing rate of an air source heat pump are and They represent the real-time scheduling time interval and the day-ahead scheduling time interval respectively. and Respectively t The turn-up and turn-down capacities of all air source heat pumps during the time period; The up and down adjustment capacity of the heat storage tank is: in, Represents the total number of thermal storage tank equipment, and Respectively t Time period i The upward and downward adjustment capacity of each heat storage tank device, and Respectively represent i The maximum heat release power and maximum heat charging power of each heat storage tank device, and Respectively t Time period i The heat release power and heat charging power of each heat storage tank device, Indicates i The heat storage capacity of the heat storage tank device is Indicates i The real-time heat storage of each heat storage tank device, and Respectively represent i The maximum and minimum heat storage of each heat storage tank device. and Respectively represent i The heat release efficiency and heat charging efficiency of each heat storage tank device are Indicates the real-time scheduling time interval, and Respectively t The upward adjustment capacity and upward adjustment capacity of all thermal storage tank devices during the period; The heat balance equation is: in, and For the i Thermal storage tanks in the period t The charging and discharging heat power, For the i Air source heat pumps in the period t The heat release power, No. i The cogeneration units are t The heat release power, No. j Rooms during the period t Thermal power deviation caused by temperature deviation (kW), is the general heat load during period t; The electrical balance equation of the multi-energy park in winter is: in, express t Time period i The real-time output of each photovoltaic power station, and Respectively t Time period i The charging and discharging power of each energy storage device, and Respectively t Time period i The discharge power and charging power of a V2G electric vehicle, express t Time period i The real-time output power of the combined heat and power gas generator, express t Time period k The real-time output power of an air source heat pump, , They are respectively The power purchase and sale on the period interconnection line, For the multi-functional park t The electrical load during the period; The scheduling module uses the scheduling correction and power reference values ​​of various types of equipment in the real-time scheduling results of the multi-energy park obtained by the calculation module to realize the scheduling control of equipment in a single period throughout the day.

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