A full-load regulation method and system for a distributed energy station

Abstract

The application discloses a kind of full-load regulation method and system of distributed energy station, comprising: establishing the equipment model and system economy model of distributed energy system;According to the energy use characteristics of user, obtain the historical operation data of distributed energy system, construct load prediction basic model;Through weather parameter, user self-report production plan correction load prediction basic model;According to the configuration of internal combustion engine module in distributed energy system and the stable operation characteristics of internal combustion engine, the load of distributed energy system is divided into three load division intervals, and different operation optimization strategies are set for the three load division intervals;According to the current load prediction result of load prediction basic model, determine the load division interval where the user load is located, take the economic optimization as the optimization goal, execute the operation optimization strategy of corresponding load division interval, realize the stable regulation of distributed energy system in 0-120% load range, improve the stability and operation economy of distributed energy system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of distributed energy, in particular to a full load regulation method and system of a distributed energy station. BACKGROUND

[0002] The distributed energy system is a beneficial supplement to the centralized energy supply system. Compared with the centralized energy supply system which uses large-capacity equipment to produce energy and then transports the energy to users in a region, the distributed energy system directly faces users, produces and supplies energy on site according to the needs of users, reduces the loss in the energy transportation process and the construction cost of the pipe network, and has the characteristics of flexible operation, fast start, low emission, and high energy utilization rate.

[0003] However, due to frequent fluctuations in load, the operation control method of the distributed energy station is relatively single, and the regulation capacity for changes in supply and demand is still relatively extensive, so that the distributed energy station in China faces problems such as poor operation economy and low comprehensive utilization level.

[0004] The existing distributed energy station mainly has the following two typical problems:

[0005] (1) The load regulation capacity of the distributed energy station based on the internal combustion engine is insufficient. The existing energy station generally uses the mode of continuous operation of the internal combustion engine at 50% load or above when operating at low load, and the load regulation range is small. Due to the mismatch between supply and demand, the comprehensive utilization rate of energy is low, and the economy is poor.

[0006] (2) The multi-energy complementary form of the existing distributed energy system is relatively single. The peak load is generally met by using a peak boiler or an electric chiller unit, and the integration of the multi-energy complementary system is relatively single, which causes weak load regulation capacity of the system and poor overall economy. SUMMARY

[0007] The technical problem to be solved by the present application is to overcome the defects in the prior art, and to provide a full load regulation method and system of a distributed energy station.

[0008] To achieve the above-mentioned purpose, the present application adopts the following technical scheme:

[0009] A full load regulation method of a distributed energy system, comprising:

[0010] establishing a device model and a system economy model of the distributed energy system, the device model comprising an internal combustion engine module, an energy production module and an energy storage module;

[0011] According to the energy use characteristics of users, historical operation data of the distributed energy system is obtained to construct a load prediction basic model;

[0012] The load forecasting base model is modified by load correction factor K1 and load correction factor K2. Load correction factor K1 is a weather parameter, and load correction factor K2 is the production plan declared by the user.

[0013] Based on the configuration of the internal combustion engine modules in the distributed energy system and the stable operation characteristics of the internal combustion engines, the load of the distributed energy system is divided into three load intervals: low load interval (0% to 1 / (2n)*100%), medium load interval (1 / (2n)*100% to 100%), and peak load interval (100% to 120%), where n is the number of internal combustion engines in the internal combustion engine modules; different operation optimization strategies are set for each of the three load intervals.

[0014] Based on the current load forecast results of the load forecasting basic model, determine the load division interval where the user load is located;

[0015] Based on the load division interval where the user load is located, the internal combustion engine module, energy production module, and energy storage module of the distributed energy system are controlled to execute the operation optimization strategy corresponding to the load division interval with the goal of optimal economy.

[0016] Preferably, setting different operation optimization strategies for the three load division intervals includes the following steps:

[0017] When the user load is in a low load range, the internal combustion engine module in the distributed energy system stops operating. Based on the equipment model and the system economic model, with the goal of meeting the load demand in the most economical way, the operation plan of the energy production module and the energy storage module is formulated and the energy production module and the energy storage module are controlled to operate according to the operation plan.

[0018] When the user load is in the medium load range, the internal combustion engine module is controlled to operate at more than 50% load. At the same time, based on the equipment model and the system economic model, the fuel consumption, power generation revenue, cooling and heating revenue of the internal combustion engine, as well as the comprehensive functional benefits of the energy production module and the energy storage module under the current load conditions are compared. With the goal of meeting the load demand in the most economical way, the operation plan of the internal combustion engine module, the energy production module and the energy storage module in the distributed energy system is formulated and the internal combustion engine module, the energy production module and the energy storage module are controlled to operate according to the operation plan.

[0019] When the user load is in the peak load range, the internal combustion engine module is controlled to run at 100% full load. At the same time, the energy production module and / or the energy storage module are controlled to supplement the insufficient part to meet the user load demand.

[0020] Preferably, the user load includes one or more of thermal energy demand, cold energy demand, and electrical energy demand; the energy production module produces one or more of thermal energy, cold energy, and electrical energy; and the energy storage module stores one or more of thermal energy, cold energy, and electrical energy.

[0021] Preferably, the energy production module includes a new energy unit, a heating unit, and a cooling unit. The new energy unit outputs thermal energy and / or electrical energy based on the current operating plan, the heating unit outputs thermal energy based on the current operating plan, and the cooling unit outputs cold energy based on the current operating plan.

[0022] The energy storage module includes an electrical energy storage unit, a thermal energy storage unit, and a cold energy storage unit. The electrical energy storage unit stores or outputs electrical energy based on the current operating plan, the thermal energy storage unit stores or outputs thermal energy based on the current operating plan, and the cold energy storage unit stores or outputs cold energy based on the current operating plan.

[0023] Preferably, the steps for acquiring historical operating data of the distributed energy system based on user energy consumption characteristics and constructing a basic load forecasting model include the following steps:

[0024] The Monte Carlo simulation method is used to predict user load, and a basic load forecasting model is constructed. The specific method is as follows.

[0025] 1) Establish a parameter database that includes multi-dimensional influencing factors such as weather conditions, building types, industrial products, and production plans;

[0026] 2) Establish a mathematical model describing the relationship between user load and several influencing factors, process and analyze the uncertain parameters in the model, and determine their distribution and corresponding characteristic values;

[0027] 3) Generate a large number of random numbers according to a given probability distribution;

[0028] 4) Substitute random numbers as parameters of random variables into the mathematical model to calculate user load values, obtain the probability distribution and statistical characteristics of the target variable, and thus predict the peak characteristics and probability distribution of user load under the influence of multiple factors.

[0029] Preferably, the step of correcting the load forecasting base model using load correction factors K1 and K2 includes the following steps:

[0030] 1) Obtain load correction factor K1 based on actual weather conditions and weather forecast parameters, and obtain load correction factor K2 based on user-submitted production plans;

[0031] 2) Use load correction factor K1 and load correction factor K2 to correct the influencing factors of the load forecasting basic model, and amplify or reduce the weather condition parameters and production plan parameters in the characteristic parameters;

[0032] 3) Obtain the corrected peak user load characteristics and their probability distribution.

[0033] Preferably, the step of the new energy unit outputting thermal energy and / or electrical energy based on the current operating scheme includes the following steps:

[0034] The new energy unit includes photovoltaic devices, solar thermal devices, and wind power devices;

[0035] When the user load is in the peak load range, the internal combustion engine of the internal combustion engine module is controlled to run at 100% full load. At the same time, the energy storage module's electricity storage unit, heat storage unit, and cold storage unit are used first for regulation. The insufficient part is supplemented by the new energy unit, heating unit, and cooling unit in the energy production module. If the new energy unit cannot work, the purchased electricity meets the user load's electrical energy demand. The purchased electricity drives the heating unit and cooling unit to meet the user load's heat energy demand and cold energy demand.

[0036] To achieve the above objectives, the present invention also employs the following technical solution:

[0037] A distributed energy system full-load regulation system, comprising:

[0038] Distributed energy systems include internal combustion engine modules, energy production modules, and energy storage modules;

[0039] The user load module is connected to the distributed energy system;

[0040] The system modeling module is used to build equipment models and system economic models for distributed energy systems.

[0041] The load forecasting module is used to obtain historical operating data of the distributed energy system based on the user's energy consumption characteristics and to build a basic load forecasting model.

[0042] The correction module is used to correct the load forecasting base model using load correction factors K1 and K2. Load correction factor K1 is a weather parameter, and load correction factor K2 is the user-submitted production plan.

[0043] The load partitioning module is used to divide the load of the distributed energy system into three load partitioning intervals based on the configuration of the internal combustion engine modules and the stable operating characteristics of the internal combustion engines: low load interval (0% to 1 / (2n)*100%), medium load interval (1 / (2n)*100% to 100%), and peak load interval (100% to 120%), where n is the number of internal combustion engines in the internal combustion engine modules; different operation optimization strategies are set for each of the three load partitioning intervals.

[0044] The full-load optimization module is connected to the distributed energy system and the user load module respectively. It is used to determine the load division interval of the user load based on the current load forecast result of the load forecasting basic model, and simultaneously control the internal combustion engine module, energy production module and energy storage module of the distributed energy system to execute the operation optimization strategy corresponding to the load division interval with the goal of optimal economy.

[0045] Preferably, the user load includes one or more of thermal energy demand, cold energy demand, and electrical energy demand; the energy production module is used to produce one or more of thermal energy, cold energy, and electrical energy; and the energy storage module is used to store one or more of thermal energy, cold energy, and electrical energy.

[0046] Preferably, the energy production module includes a new energy unit, a heating unit, and a cooling unit; the energy storage module includes an electricity storage unit, a heat storage unit, and a cold storage unit; the cooling unit is connected to the cold storage unit; the heating unit is connected to the heat storage unit; and the new energy unit is connected to one or more of the electricity storage unit, the heat storage unit, and the cold storage unit.

[0047] The new energy unit is used to output thermal energy and / or electrical energy based on the current operating plan, the heating unit is used to output thermal energy based on the current operating plan, and the cooling unit is used to output cold energy based on the current operating plan.

[0048] The energy storage unit is used to store or output electrical energy based on the current operating plan; the thermal energy storage unit is used to store or output thermal energy based on the current operating plan; and the cold energy storage unit is used to store or output cold energy based on the current operating plan.

[0049] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0050] The distributed energy system full-load regulation method and system provided in the above technical solution divides the load of the distributed energy system into low-load range, medium-load range and peak load range, and formulates different corresponding operation optimization strategies for each. Then, based on the prediction of user load, it is determined that the current user load falls into a certain load range, thereby controlling the internal combustion engine module, energy production module and energy storage module to execute the operation optimization strategy corresponding to the load division range with the optimization objective of optimal economy, so as to meet the user load demand, realize the stable regulation of the distributed energy system within the 0-120% load range, and improve the stability and operation economy of the distributed energy system. Attached Figure Description

[0051] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0052] Figure 1 This is a schematic diagram of a distributed energy system full-load regulation system provided in one embodiment of the present invention.

[0053] Figure 2 This is a flowchart of a method for full load regulation of a distributed energy system provided in one embodiment of the present invention. Detailed Implementation

[0054] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0056] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0057] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings:

[0058] This invention proposes a full-load regulation method for distributed energy systems, as shown in the appendix. Figure 2As shown, step 1 involves establishing the equipment model and system economic model of the distributed energy system. The equipment model includes an internal combustion engine module, an energy production module, and an energy storage module. The system economic model refers to the lowest cost to meet load demand, including the lowest costs for gas and electricity purchase. Of course, when the distributed energy system includes other equipment, the system modeling must include models of those other equipment.

[0059] Step 2: Based on the user's energy consumption characteristics, obtain historical operating data of the distributed energy system and construct a basic load forecasting model; then correct the basic load forecasting model using weather parameters (load correction factor K1) and user-reported production plans (load correction factor K2).

[0060] Step 3: Based on the configuration of the internal combustion engine modules in the distributed energy system and the stable operation characteristics of the internal combustion engines, the load of the distributed energy system is divided into three load division intervals: low load interval: 0% to 1 / (2n)*100%, medium load interval: 1 / (2n)*100% to 100%, and peak load interval: 100% to 120%, where n is the number of internal combustion engines in the internal combustion engine modules; different operation optimization strategies are set for the three load division intervals.

[0061] In the prior art, the internal combustion engine of the internal combustion engine module needs to operate at a load of more than 50% to operate stably. The load adjustment range of the internal combustion engine for a single unit is 50% to 100%, and the load adjustment range of the internal combustion engine for a dual unit is 25% to 100%. The more internal combustion engines there are, the larger the load adjustment range of the distributed energy system. Therefore, in this embodiment of the invention, the low load range and the medium load range are divided into 1 / (2n)*100%.

[0062] Step 4: Based on the current load forecast results of the load forecasting basic model, determine the load division interval where the user load is located. Based on the load division interval where the user load is located, control the internal combustion engine module, energy production module and energy storage module of the distributed energy system, and execute the operation optimization strategy for the corresponding load division interval with the goal of optimal economy.

[0063] This invention pre-divides the load of a distributed energy system into low-load, medium-load, and peak-load intervals, and pre-defines an operation optimization strategy for each load interval. Based on the prediction of user load, the operation plan of the distributed energy system can be adjusted in advance to achieve stable regulation of the distributed energy system within the 0-120% load range, thereby improving the stability and economic efficiency of the distributed energy system.

[0064] Preferably, different operation optimization strategies are set for the three load division intervals as follows:

[0065] When the user load is in the low load range, the internal combustion engine module in the distributed energy system stops running. Based on the equipment model and the system economic model, with the goal of meeting the load demand in the best economic way, the operation plan of the energy production module and the energy storage module is formulated and controlled to operate according to the operation plan.

[0066] Taking the low heating and cooling loads in spring and autumn as an example: when operating at low loads, the internal combustion engine stops running and the system consumes no gas; electric boilers are used for heating and thermal storage tanks are used to meet the regional heat load; electric refrigeration machines are used for cooling and cold storage tanks are used to meet the regional cold load; and comprehensive energy supply is carried out with the goal of minimizing the cost of new energy power, electric energy storage, and purchased electricity.

[0067] When the user load is in the medium load range, the internal combustion engine module is controlled to operate at more than 50% load. At the same time, based on the equipment model and the system economic model, the fuel consumption, power generation revenue, cooling and heating revenue of the internal combustion engine, as well as the comprehensive functional benefits of the energy production module and the energy storage module are compared under the current load conditions. With the goal of meeting the load demand in the most economical way, the operation plan of the internal combustion engine module, energy production module and energy storage module in the distributed energy system is formulated and the internal combustion engine module, energy production module and energy storage module are controlled to operate according to the operation plan.

[0068] Taking the high cooling load in summer as an example: Under this condition, the internal combustion engine operates at more than 50% load, using lithium bromide from flue gas to generate chilled water, electric refrigeration for cooling, and cold storage tanks to meet the regional cooling load supply; waste heat from the internal combustion engine, electric boiler heating, and heat storage tanks to meet the regional heat load supply; and comprehensive energy supply with the goal of minimizing the cost of natural gas, new energy power, electric energy storage, and purchased electricity.

[0069] When the user load is in the peak load range, the internal combustion engine of the control internal combustion engine module is operated at 100% full load. At the same time, the energy production module and energy storage module are controlled to supplement the operation of the insufficient part to meet the user load demand.

[0070] Taking the summer peak cooling load as an example: Under this condition, the internal combustion engine operates at 100% load, and the remaining insufficient load is met by electric refrigeration and cold storage tanks to meet the regional peak cooling load; electric boilers are used for heating and heat storage tanks to meet the regional peak heat load; and comprehensive energy supply is carried out with the goal of minimizing the cost of new energy power, electric energy storage and purchased power.

[0071] In this embodiment of the invention, the user load includes one or more of heat energy demand, cold energy demand, and electrical energy demand. The energy production module produces one or more of heat energy, cold energy, and electrical energy; the energy storage module stores one or more of heat energy, cold energy, and electrical energy. Taking a user load including heat energy demand, cold energy demand, and electrical energy demand as an example, the energy production module can produce heat energy, cold energy, and electrical energy, and the energy storage module can store and output heat energy, cold energy, and electrical energy to the user side. The energy production module is connected to the energy storage module and the user side. When the user side load is low, the energy production module can transmit heat energy, cold energy, and electrical energy to the energy storage module for storage. When the user side load is high, the energy production module and the energy storage module can simultaneously transmit heat energy, cold energy, and electrical energy to the user side.

[0072] Preferably, the energy production module includes a new energy unit, a heating unit, and a cooling unit. The new energy unit outputs heat energy and / or electrical energy based on the current operating plan, the heating unit outputs heat energy based on the current operating plan, and the cooling unit outputs cold energy based on the current operating plan. The new energy unit includes new energy supply devices such as photovoltaic devices, solar thermal devices, and wind power devices. The heating unit may include devices that generate heat through electricity or high-temperature flue gas, such as electric boilers, heating modules of flue gas hot water lithium bromide units, and heat exchanger groups. The cooling unit may include devices that generate cooling through electricity or high-temperature flue gas, such as electric chillers and cooling modules of flue gas hot water lithium bromide units. The internal combustion engine module is mainly used to burn fuel to generate electricity and high-temperature flue gas.

[0073] The energy storage module includes an electrical storage unit, a thermal storage unit, and a cold storage unit. The electrical storage unit is a battery pack, the thermal storage unit is a thermal storage tank, and the cold storage unit is a cold storage tank. The electrical storage unit stores or outputs electrical energy based on the current operating plan, the thermal storage unit stores or outputs thermal energy based on the current operating plan, and the cold storage unit stores or outputs cold energy based on the current operating plan.

[0074] Preferably, in this embodiment of the invention, the step of the new energy unit outputting thermal energy and / or electrical energy based on the current operating scheme includes the following steps:

[0075] The new energy unit includes photovoltaic devices, solar thermal devices, and wind power devices. The energy supply of the new energy unit is intermittent and fluctuates. Therefore, the embodiments of the present invention use energy storage units in conjunction with the new energy units to mitigate the fluctuation problem of the new energy units.

[0076] Specifically, when the user load is in the peak load range, the internal combustion engine of the control internal combustion engine module operates at 100% full load. At the same time, the energy storage module's electricity storage unit, heat storage unit, and cold storage unit are used first for regulation. The insufficient part is supplemented by the new energy unit, heating unit, and cooling unit in the energy production module. If the new energy unit cannot work, the purchased electricity meets the user load's electrical energy demand. The purchased electricity drives the heating unit and cooling unit to meet the user load's heat energy demand and cold energy demand.

[0077] Based on user energy consumption characteristics, the method of obtaining historical operating data of distributed energy systems and constructing a basic load forecasting model is an existing technology. Existing load forecasting algorithms can be used to predict user load. In this embodiment of the invention, the Monte Carlo simulation method is used to predict user load and construct a basic load forecasting model. The specific method is as follows:

[0078] 1) Establish a parameter database that includes multi-dimensional influencing factors such as weather conditions, building categories, industrial products, and production plans; among them, building categories include parameters such as the building's functional positioning, plot ratio, total building area, and building height, which have been determined. During the planning stage, the internal spatial layout of buildings is simplified, and buildings of the same type are treated as a whole; industrial products are electrical appliances or equipment that generate cooling, heating, and electrical loads.

[0079] 2) Establish a mathematical model describing the relationship between user load and several influencing factors, process and analyze the uncertain parameters in the model, and determine their distribution and corresponding characteristic values; the input parameters of the mathematical model include deterministic parameters and random variables. The deterministic parameters mainly include the building area, height limit, floor height, bottom side length, annual outdoor air temperature and enthalpy, hot water temperature and other parameters within the distributed energy system area; the random variables are weather conditions, including outdoor temperature, sunny, rainy, snowy, etc., and the probability distribution of the random variables is calculated based on experience and historical data.

[0080] 3) Generate a large number of random numbers according to a given probability distribution;

[0081] 4) Substitute random numbers as parameters of random variables into the mathematical model to calculate user load values. Then, through a large number of simulation calculations, obtain the probability distribution and statistical characteristics of the target variable, thereby predicting the peak characteristics and probability distribution of user load under the influence of multiple factors.

[0082] Weather parameters (load correction factor K1) and user-reported production plans (load correction factor K2) have a significant impact on user load. Therefore, this embodiment of the invention also includes the following steps:

[0083] 1) Obtain load correction factor K1 based on actual weather conditions and weather forecast parameters, and obtain load correction factor K2 based on user-submitted production plans;

[0084] 2) Use load correction factor K1 and load correction factor K2 to correct the influencing factors of the load forecasting basic model, and amplify or reduce the weather condition parameters and production plan parameters in the characteristic parameters;

[0085] 3) Obtain the corrected peak user load characteristics and their probability distribution.

[0086] As attached Figure 1 As shown in the figure, this invention also proposes a distributed energy system full-load regulation system, including...

[0087] The distributed energy system 10 includes an internal combustion engine module 11, an energy production module 12, and an energy storage module 13. The internal combustion engine module 11 is used to produce electricity and high-temperature flue gas. The energy production module 12 can be used to produce some electricity, heat, and cold energy. When the productivity of the energy production module 12 is sufficient and the user load is low, the energy storage module 13 can be used to store the electricity, heat, and cold energy.

[0088] User load module 20 is connected to distributed energy system 10 and publishes load demand to distributed energy system 10;

[0089] System modeling module 31 is used to establish the equipment model and system economic model of distributed energy system 10.

[0090] The load forecasting module 32 is used to obtain historical operating data of the energy load of the distributed energy system 10 based on the user's energy consumption characteristics and to build a basic load forecasting model.

[0091] The correction module 33 is used to correct the load forecasting base model using weather parameters (load correction factor K1) and user-reported production plans (load correction factor K2). The weather parameters are the current weather conditions.

[0092] The load division module 34 is used to divide the load of the distributed energy system 10 into three load division intervals based on the configuration of the internal combustion engine module 11 and the stable operation characteristics of the internal combustion engines. These intervals are: low load interval (0% to 1 / (2n)*100%), medium load interval (1 / (2n)*100% to 100%), and peak load interval (100% to 120%), where n is the number of internal combustion engines in the internal combustion engine module 11. In the prior art, the internal combustion engine of the internal combustion engine module needs to operate at a load of more than 50% to achieve stable operation. The load adjustment range for a single unit of internal combustion engine is 50% to 100%, and the load adjustment range for a dual unit of internal combustion engine is 25% to 100%. The more internal combustion engines there are, the larger the load adjustment range of the distributed energy system 10. Therefore, in this embodiment of the invention, the low load interval and the medium load interval are divided into 1 / (2n)*100%. Different operation optimization strategies are set for the three load division intervals.

[0093] The full load optimization module 30, together with the distributed energy system 10 and the user load module 20, is used to determine the load division interval of the user load based on the current load forecast results of the load forecasting basic model. At the same time, it controls the internal combustion engine module 11, energy production module 12 and energy storage module 13 of the distributed energy system 10 to execute the operation optimization strategy of the corresponding load division interval with the goal of optimal economy.

[0094] Preferably, the user load includes one or more of heat energy demand, cooling energy demand, and electrical energy demand. The energy production module 12 is used to produce one or more of heat energy, cooling energy, and electrical energy; the energy storage module 13 is used to store one or more of heat energy, cooling energy, and electrical energy. Taking a user load including heat energy demand, cooling energy demand, and electrical energy demand as an example, the energy production module 12 can produce heat energy, cooling energy, and electrical energy, and the energy storage module 13 can store and output heat energy, cooling energy, and electrical energy to the user side. The energy production module 12, the energy storage module 13, and the user side are connected. When the user side load is low, the energy production module can transmit heat energy, cooling energy, and electrical energy to the energy storage module for storage. When the user side load is high, the energy production module and the energy storage module can simultaneously transmit heat energy, cooling energy, and electrical energy to the user side.

[0095] Preferably, the energy production module 12 includes a new energy unit, a heating unit, and a cooling unit, and the energy storage module 13 includes an electricity storage unit, a heat storage unit, and a cold storage unit. The cooling unit is connected to the cold storage unit, the heating unit is connected to the heat storage unit, and the new energy unit is connected to one or more of the electricity storage unit, the heat storage unit, and the cold storage unit.

[0096] The new energy unit is used to output thermal energy and / or electrical energy based on the current operating scheme; the heating unit is used to output thermal energy based on the current operating scheme; and the cooling unit is used to output cold energy based on the current operating scheme.

[0097] The energy storage unit is used to store or output electrical energy based on the current operating plan, the thermal storage unit is used to store or output thermal energy based on the current operating plan, and the cold storage unit is used to store or output cold energy based on the current operating plan.

[0098] The new energy unit includes photovoltaic devices, solar thermal devices, wind power devices, and other new energy supply devices. The heating unit may include electric boilers, heating modules of flue gas hot water lithium bromide units, heat exchanger groups, and other devices that generate heat through electricity or high-temperature flue gas. The cooling unit may include electric chillers, cooling modules of flue gas hot water lithium bromide units, and other devices that cool through electricity or high-temperature flue gas. The internal combustion engine module is mainly used to burn fuel to generate electricity and high-temperature flue gas. The energy storage unit is a battery pack, the thermal storage unit is a thermal storage tank, and the cold storage unit is a cold storage tank.

[0099] The above embodiments are merely preferred embodiments of the present invention and should not be construed as limiting the scope of protection of the present invention. Any non-substantial changes and substitutions made by those skilled in the art based on the present invention shall fall within the scope of protection claimed by the present invention.

Claims

1. A method for full-load regulation of a distributed energy system, characterized in that, include: Establish equipment models and system economic models for distributed energy systems. The equipment models include internal combustion engine modules, energy production modules, and energy storage modules. Based on users' energy consumption characteristics, historical operating data of distributed energy systems are obtained to construct a basic model for load forecasting; The load forecasting base model is modified by load correction factor K1 and load correction factor K2. Load correction factor K1 is a weather parameter, and load correction factor K2 is the production plan declared by the user. Based on the configuration of the internal combustion engine modules in the distributed energy system and the stable operation characteristics of the internal combustion engines, the load of the distributed energy system is divided into three load intervals: low load interval (0% to 1 / (2n)*100%), medium load interval (1 / (2n)*100% to 100%), and peak load interval (100% to 120%), where n is the number of internal combustion engines in the internal combustion engine modules; different operation optimization strategies are set for each of the three load intervals. Based on the current load forecast results of the load forecasting basic model, determine the load division interval where the user load is located; Based on the load division interval where the user load is located, the internal combustion engine module, energy production module, and energy storage module of the distributed energy system are controlled to execute the operation optimization strategy corresponding to the load division interval with the goal of optimal economy.

2. The method for full-load regulation of a distributed energy system according to claim 1, characterized in that, Setting different operation optimization strategies for the three load division intervals includes the following steps: When the user load is in a low load range, the internal combustion engine module in the distributed energy system stops operating. Based on the equipment model and the system economic model, with the goal of meeting the load demand in the most economical way, the operation plan of the energy production module and the energy storage module is formulated and the energy production module and the energy storage module are controlled to operate according to the operation plan. When the user load is in the medium load range, the internal combustion engine module is controlled to operate at more than 50% load. At the same time, based on the equipment model and the system economic model, the fuel consumption, power generation revenue, cooling and heating revenue of the internal combustion engine, as well as the comprehensive functional benefits of the energy production module and the energy storage module under the current load conditions are compared. With the goal of meeting the load demand in the most economical way, the operation plan of the internal combustion engine module, the energy production module and the energy storage module in the distributed energy system is formulated and the internal combustion engine module, the energy production module and the energy storage module are controlled to operate according to the operation plan. When the user load is in the peak load range, the internal combustion engine module is controlled to run at 100% full load. At the same time, the energy production module and / or the energy storage module are controlled to supplement the insufficient part to meet the user load demand.

3. The method for full-load regulation of a distributed energy system according to claim 1 or 2, characterized in that, User load includes one or more of thermal energy demand, cold energy demand, and electrical energy demand; the energy production module produces one or more of thermal energy, cold energy, and electrical energy; and the energy storage module stores one or more of thermal energy, cold energy, and electrical energy.

4. The method for full-load regulation of a distributed energy system according to claim 3, characterized in that, The energy production module includes a new energy unit, a heating unit, and a cooling unit. The new energy unit outputs thermal energy and / or electrical energy based on the current operating plan. The heating unit outputs thermal energy based on the current operating plan. The cooling unit outputs cold energy based on the current operating plan. The energy storage module includes an electrical energy storage unit, a thermal energy storage unit, and a cold energy storage unit. The electrical energy storage unit stores or outputs electrical energy based on the current operating plan, the thermal energy storage unit stores or outputs thermal energy based on the current operating plan, and the cold energy storage unit stores or outputs cold energy based on the current operating plan.

5. The method for full-load regulation of a distributed energy system according to claim 1, characterized in that, Based on user energy consumption characteristics, the steps to acquire historical operational data of distributed energy systems and construct a basic load forecasting model include the following: The Monte Carlo simulation method is used to predict user load, and a basic load forecasting model is constructed. The specific method is as follows. 1) Establish a parameter database that includes multi-dimensional influencing factors such as weather conditions, building types, industrial products, and production plans; 2) Establish a mathematical model describing the relationship between user load and several influencing factors, process and analyze the uncertain parameters in the model, and determine their distribution and corresponding characteristic values; 3) Generate a large number of random numbers according to a given probability distribution; 4) Substitute random numbers as parameters of random variables into the mathematical model to calculate user load values, obtain the probability distribution and statistical characteristics of the target variable, and thus predict the peak characteristics and probability distribution of user load under the influence of multiple factors.

6. The method for full-load regulation of a distributed energy system according to claim 5, characterized in that, The steps to revise the basic load forecasting model using load correction factors K1 and K2 include the following: 1) Obtain load correction factor K1 based on actual weather conditions and weather forecast parameters, and obtain load correction factor K2 based on user-submitted production plans; 2) Use load correction factor K1 and load correction factor K2 to correct the influencing factors of the load forecasting basic model, and amplify or reduce the weather condition parameters and production plan parameters in the characteristic parameters; 3) Obtain the corrected peak user load characteristics and their probability distribution.

7. The method for full-load regulation of a distributed energy system according to claim 4, characterized in that, The steps by which the new energy unit outputs thermal energy and / or electrical energy based on the current operating scheme include the following steps: The new energy unit includes photovoltaic devices, solar thermal devices, and wind power devices; When the user load is in the peak load range, the internal combustion engine of the internal combustion engine module is controlled to run at 100% full load. At the same time, the energy storage module's electricity storage unit, heat storage unit, and cold storage unit are used first for regulation. The insufficient part is supplemented by the new energy unit, heating unit, and cooling unit in the energy production module. If the new energy unit cannot work, the purchased electricity meets the user load's electrical energy demand. The purchased electricity drives the heating unit and cooling unit to meet the user load's heat energy demand and cold energy demand.

8. A full-load regulation system for a distributed energy system, characterized in that, include Distributed energy systems include internal combustion engine modules, energy production modules, and energy storage modules; The user load module is connected to the distributed energy system; The system modeling module is used to build equipment models and system economic models for distributed energy systems. The load forecasting module is used to obtain historical operating data of the distributed energy system based on the user's energy consumption characteristics and to build a basic load forecasting model. The correction module is used to correct the load forecasting base model using load correction factors K1 and K2. Load correction factor K1 is a weather parameter, and load correction factor K2 is the user-submitted production plan. The load partitioning module is used to divide the load of the distributed energy system into three load partitioning intervals based on the configuration of the internal combustion engine modules and the stable operating characteristics of the internal combustion engines: low load interval (0% to 1 / (2n)*100%), medium load interval (1 / (2n)*100% to 100%), and peak load interval (100% to 120%), where n is the number of internal combustion engines in the internal combustion engine modules; different operation optimization strategies are set for each of the three load partitioning intervals. The full-load optimization module is connected to the distributed energy system and the user load module respectively. It is used to determine the load division interval of the user load based on the current load forecast result of the load forecasting basic model, and simultaneously control the internal combustion engine module, energy production module and energy storage module of the distributed energy system to execute the operation optimization strategy corresponding to the load division interval with the goal of optimal economy.

9. The distributed energy system full-load regulation system as described in claim 8, characterized in that, The user load includes one or more of thermal energy demand, cold energy demand, and electrical energy demand; the energy production module is used to produce one or more of thermal energy, cold energy, and electrical energy; and the energy storage module is used to store one or more of thermal energy, cold energy, and electrical energy.

10. The distributed energy system full-load regulation system as described in claim 9, characterized in that, The energy production module includes a new energy unit, a heating unit, and a cooling unit. The energy storage module includes an electricity storage unit, a thermal storage unit, and a cold storage unit. The cooling unit is connected to the cold storage unit, the heating unit is connected to the thermal storage unit, and the new energy unit is connected to one or more of the electricity storage unit, thermal storage unit, and cold storage unit. The new energy unit is used to output thermal energy and / or electrical energy based on the current operating plan, the heating unit is used to output thermal energy based on the current operating plan, and the cooling unit is used to output cold energy based on the current operating plan. The energy storage unit is used to store or output electrical energy based on the current operating plan, the thermal storage unit is used to store or output thermal energy based on the current operating plan, and the cold storage unit is used to store or output cold energy based on the current operating plan.

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