Regional comprehensive energy multi-target integration scheduling optimization operation method and system

Abstract

The invention discloses a regional integrated energy multi-target integration scheduling optimization operation method and system, and the method comprises the following steps: obtaining investigation information, and initializing a basic frame of a regional integrated energy system through the investigation information; the investigation information comprises an input energy type, an equipment type and equipment capacity; and establishing an economic planning and operation design model of the regional integrated energy system, and performing operation cost minimization optimization scheduling on the basic framework of the regional integrated energy system by using a two-stage optimization method according to an optimization target and a scheduling target function to obtain an optimal system configuration scheme and an optimal equipment operation scheme of the regional integrated energy system.

Description

Technical Field

[0001] The present invention belongs to the field of energy dispatching, and specifically relates to a method and system for regional comprehensive energy multi-objective integrated dispatching optimization operation. Background Art

[0002] With the rapid development of social economy, rapid technological progress, and the growing call for energy conservation and emission reduction around the world, the energy structure and load distribution of countries around the world are undergoing unprecedented adjustments. This adjustment is not only reflected in the diversity of energy supply, such as the gradual optimization and upgrading of various energy supply systems such as coal, oil, natural gas, electricity, heat, and water, but also in the increasingly close correlation, interaction, and coupling relationship between energy end users (such as buildings, transportation, industry, residents, etc.) and energy supply systems.

[0003] In this context, the integrated energy system has gradually emerged with its unique advantages. As an integrated system that integrates energy production, transportation and consumption, the integrated energy system not only achieves diversified energy supply by efficiently utilizing traditional fossil energy, but also actively explores and combines the utilization of multiple primary energy sources, such as solar energy, wind energy, biomass energy, etc. This diversified energy supply model can not only effectively reduce the consumption of fossil fuels and optimize the structure of the energy supply system, but also reduce the dependence of social development on traditional fossil fuels, providing a solid energy guarantee for sustainable development.

[0004] The emergence of integrated smart energy is a major breakthrough in the traditional single energy system. It integrates various types of energy such as electricity, gas, cold and heat, and realizes centralized dispatch and intelligent control through advanced information technology. The integrated smart energy system can not only achieve efficient use of energy and energy conservation and emission reduction, but also provide users with more convenient, comfortable and safe energy services. By using the integrated smart energy optimization algorithm, the system can flexibly adjust the energy supply strategy according to the actual needs of users and changes in the energy market, and achieve the optimal configuration and maximum utilization of energy. This is of great strategic significance for establishing a new energy system and promoting the energy revolution. Summary of the invention

[0005] The purpose of the present invention is to overcome the problem of lack of multi-objective optimization in existing integrated smart energy, and propose a regional integrated energy multi-objective integrated scheduling optimization operation method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme:

[0007] A regional comprehensive energy multi-objective integrated dispatching optimization operation method comprises the following steps:

[0008] Obtaining survey information and using the survey information to initialize the basic framework of the regional integrated energy system; the survey information includes input energy types, equipment types and equipment capacity;

[0009] Establish a regional integrated energy system economic planning and operation design model, and use a two-stage optimization method to minimize the operating cost of the basic framework of the regional integrated energy system according to the optimization goal and scheduling objective function to obtain the optimal system configuration plan and optimal equipment operation plan of the regional integrated energy system;

[0010] The two stages include the first stage and the second stage. The first stage inputs the type and rated capacity of the optimized equipment, which include the economic and technical parameters and constraints of the energy equipment; the second stage inputs the hourly output value of each optimized equipment, which includes the energy price, the economic and technical parameters and constraints of the energy equipment.

[0011] Furthermore, the optimization target of the first stage is the annual total cost, and the optimization target of the second stage is the operation and maintenance cost. The optimal system configuration scheme adopts the multi-objective particle swarm algorithm to obtain the Pareto optimal solution set of regional integrated energy system planning, and then it is selected using the decision-making method based on evidence reasoning.

[0012] Furthermore, the two-stage optimization method is specifically as follows: in the first stage, the equipment type and capacity are selected and input into the second stage; in the second stage, the hourly output of each device is optimized, and the minimized operation and maintenance cost is calculated, and then the calculated minimized operation and maintenance cost is fed back to the first stage; in the first stage, the optimal system configuration plan and the optimal equipment operation plan are selected according to the minimized operation and maintenance cost fed back in the second stage.

[0013] Furthermore, the constraints include unit constraints, balance constraints, energy storage device constraints and load constraints;

[0014] The unit constraints include coal-fired unit constraints, wind turbine unit constraints, photovoltaic unit constraints, electric boiler constraints, gas turbine constraints and power-to-gas constraints;

[0015] The balance constraints include power balance constraints, power extreme balance constraints, natural gas balance constraints, thermal balance constraints and hydrogen balance constraints;

[0016] Energy storage device constraints include energy storage device cost;

[0017] Load constraints include constraints on increasing or decreasing electric loads, constraints on transferring electric loads, and constraints on thermal load demand response.

[0018] Furthermore, the coal-fired power unit constraint conditions include the output constraint of the coal-fired power unit, the minimum start-stop time constraint of the coal-fired power unit, and the ramp rate constraint of the coal-fired power unit;

[0019] The gas turbine constraints include gas turbine output constraints, gas turbine minimum start and stop time constraints, and gas turbine ramp rate constraints;

[0020] The constraints of electric boilers include the conversion of electric boiler power and heating capacity, electric boiler output constraints, electric boiler minimum start and stop time constraints, and electric boiler ramp rate constraints.

[0021] The power-to-gas constraints include the conversion of power-to-gas power and gas production volume and the output constraints of power-to-gas equipment;

[0022] Wind turbine constraints include wind turbine output constraints;

[0023] The photovoltaic unit constraint conditions include the photovoltaic unit output constraint.

[0024] Furthermore, the operating costs include the costs of purchasing electricity, gas, and heat, the costs of starting and stopping the unit, the marginal costs of the unit, the fixed costs of the unit, and the fixed costs of the energy storage device;

[0025] Operating income includes load demand income, electricity sales, gas sales, heat sales income, and electricity load compensation income.

[0026] Furthermore, the scheduling objective function is as follows:

[0027]

[0028] in, is the cost of purchasing electricity, gas and heat in time period t;

[0029] is the electricity, gas and heat sales fee in time period t;

[0030] is the startup cost of device k in time period t;

[0031] is the downtime cost of equipment k in time period t;

[0032] is the marginal cost of all units in period t;

[0033] is the fixed cost of all units in period t;

[0034] is the revenue of all loads in period t;

[0035] is the total revenue of peak and frequency regulation in period t;

[0036] is the compensation cost of reducing the electric load by demand response in time period t;

[0037] F PE is the fixed cost of all production units;

[0038] F SE is the fixed cost of all energy storage devices;

[0039] k is a set of different devices.

[0040] A regional comprehensive energy multi-objective integrated dispatching optimization operation system includes a framework establishment module for obtaining survey information and using the survey information to establish a basic framework of a regional comprehensive energy system; the survey information includes input energy types, equipment types and equipment capacities;

[0041] The optimization operation module is used to establish the economic planning and operation design model of the regional integrated energy system. The two-stage optimization method is used to minimize the operation cost of the basic framework of the regional integrated energy system according to the optimization goal and the scheduling objective function to obtain the optimal system configuration plan and the optimal equipment operation plan of the regional integrated energy system.

[0042] The two stages include the first stage and the second stage. The first stage inputs the type and rated capacity of the optimized equipment, which include the economic and technical parameters and constraints of the equipment; the second stage inputs the hourly output value of each optimized equipment, which include energy prices, economic and technical parameters and constraints of the equipment.

[0043] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for optimizing the operation of regional comprehensive energy multi-objective integrated scheduling is implemented.

[0044] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for optimizing the operation of regional comprehensive energy multi-objective integrated scheduling is implemented.

[0045] Compared with the prior art, the present invention has the following beneficial technical effects:

[0046] The present invention provides a method for regional comprehensive energy multi-objective integrated scheduling and optimization operation to establish an economic planning and operation design model for a regional comprehensive energy system, and adopts a two-stage optimization method to optimize the optimal equipment configuration plan of the system at the planning level, and optimize the optimal hourly output value of each device at the operation level, thereby maximizing the economic benefits of the system. A multi-objective planning and operation optimization model for a regional comprehensive energy system is established. At the planning level, the economic benefits, environmental benefits, and energy benefits of the system are taken as optimization goals, and the equipment type and capacity of the system are optimized; at the operation level, the minimum operation and maintenance cost is still taken as the optimization goal, and the hourly output of the equipment in operation is reasonably allocated.

[0047] Furthermore, by establishing a cost minimization objective function, based on previous research on distributed energy system planning, we focus on modeling the system model in more detail, and aim at the multi-objective optimization problem of the regional integrated energy system, and simultaneously optimize the economic, environmental and energy benefits of the system to maximize its comprehensive benefits.

[0048] Furthermore, in the optimization process, a multi-objective particle swarm algorithm is first used to obtain the Pareto optimal solution set of system planning, and then a decision-making method based on evidence reasoning is used to select the optimal system configuration scheme.

[0049] Further balance constraints, unit output constraints, and energy storage device constraints are established, the parameters of each device are calculated, and further research is conducted on the basic architecture and equipment model of the regional integrated energy system. The diversity of energy sources, energy production technologies, energy conversion technologies, and energy storage technologies are taken into account in system modeling. This basic architecture can be better applied to various types of regional integrated energy system modeling and has better adaptability and practicality.

[0050] Furthermore, more detailed modeling of the system model, including equipment classification, equipment efficiency, modeling of energy storage equipment and operating rules, will help improve energy efficiency, reduce energy costs, support energy market competition strategies, promote environmental protection, improve decision-making quality, and optimize energy supply chains and consumption models. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The drawings in the specification are used to provide further understanding of the present invention and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0052] Figure 1 It is a flow chart of a method for optimizing operation of regional comprehensive energy multi-objective integrated scheduling according to the present invention;

[0053] Figure 2It is a structural schematic diagram of a regional comprehensive energy multi-objective integrated scheduling optimization operation system of the present invention;

[0054] Figure 3 It is a schematic diagram of the electronic device structure of a regional comprehensive energy multi-objective integrated scheduling optimization operation method of the present invention;

[0055] Figure 4 It is a schematic diagram of a two-stage optimization method of a regional comprehensive energy multi-objective integrated scheduling optimization operation method of the present invention. DETAILED DESCRIPTION

[0056] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0057] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present application belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention.

[0058] Embodiment 1

[0059] See also Figure 1 , a regional comprehensive energy multi-objective integrated dispatching optimization operation method, comprising the following steps:

[0060] Obtaining survey information and using the survey information to initialize the basic framework of the regional integrated energy system; the survey information includes input energy types, equipment types and equipment capacity;

[0061] Establish a regional integrated energy system economic planning and operation design model, and use a two-stage optimization method to minimize the operating cost of the basic framework of the regional integrated energy system according to the optimization goal and scheduling objective function to obtain the optimal system configuration plan and optimal equipment operation plan of the regional integrated energy system;

[0062] The two stages include the first stage and the second stage. The first stage inputs the type and rated capacity of the optimized equipment, which include the economic and technical parameters and constraints of the energy equipment; the second stage inputs the hourly output value of each optimized equipment, which includes the energy price, the economic and technical parameters and constraints of the energy equipment.

[0063] Preferably, the optimization target of the first stage is the annual total cost, and the optimization target of the second stage is the operation and maintenance cost. The optimal system configuration scheme adopts a multi-objective particle swarm algorithm to obtain the Pareto optimal solution set of regional integrated energy system planning, and then selects it using a decision-making method based on evidence reasoning.

[0064] Preferably, the two-stage optimization method is as follows: in the first stage, the equipment type and capacity are selected and input into the second stage; in the second stage, the hourly output of each device is optimized, and the minimized operation and maintenance cost is calculated, and then the calculated minimized operation and maintenance cost is fed back to the first stage; in the first stage, the optimal system configuration plan and the optimal equipment operation plan are selected according to the minimized operation and maintenance cost fed back in the second stage.

[0065] Preferably, the constraints include unit constraints, balance constraints, energy storage device constraints and load constraints;

[0066] The unit constraints include coal-fired unit constraints, wind turbine unit constraints, photovoltaic unit constraints, electric boiler constraints, gas turbine constraints and power-to-gas constraints;

[0067] The balance constraints include power balance constraints, power extreme balance constraints, natural gas balance constraints, thermal balance constraints and hydrogen balance constraints;

[0068] Energy storage device constraints include energy storage device cost;

[0069] Load constraints include constraints on increasing or decreasing electric loads, constraints on transferring electric loads, and constraints on thermal load demand response.

[0070] Preferably, the coal-fired power unit constraint conditions include the output constraint of the coal-fired power unit, the minimum start-stop time constraint of the coal-fired power unit, and the ramp rate constraint of the coal-fired power unit;

[0071] The gas turbine constraints include gas turbine output constraints, gas turbine minimum start and stop time constraints, and gas turbine ramp rate constraints;

[0072] The constraints of electric boilers include the conversion of electric boiler power and heating capacity, electric boiler output constraints, electric boiler minimum start and stop time constraints, and electric boiler ramp rate constraints.

[0073] The power-to-gas constraints include the conversion of power-to-gas power and gas production volume and the output constraints of power-to-gas equipment;

[0074] Wind turbine constraints include wind turbine output constraints;

[0075] The photovoltaic unit constraint conditions include the photovoltaic unit output constraint.

[0076] Preferably, the operating costs include electricity purchase, gas purchase, heat purchase costs, unit start-up and shutdown costs, unit marginal costs, unit fixed costs, and energy storage fixed costs;

[0077] Operating income includes load demand income, electricity sales, gas sales, heat sales income, and electricity load compensation income.

[0078] Preferably, the scheduling objective function is as follows:

[0079]

[0080] in, is the cost of purchasing electricity, gas and heat in time period t;

[0081] is the electricity, gas and heat sales fee in time period t;

[0082] is the startup cost of device k in time period t;

[0083] is the downtime cost of equipment k in time period t;

[0084] is the marginal cost of all units in period t;

[0085] is the fixed cost of all units in period t;

[0086] is the revenue of all loads in period t;

[0087] is the total revenue of peak load regulation and frequency regulation in period t;

[0088] is the compensation cost of reducing the electric load by demand response in time period t;

[0089] F PE is the fixed cost of all production units;

[0090] F SE is the fixed cost of all energy storage devices;

[0091] k is a set of different devices.

[0092] Embodiment 2

[0093] See also Figure 2 , a regional comprehensive energy multi-objective integrated dispatching optimization operation system, including a framework building module, used to obtain survey information, and use the survey information to establish a basic framework of a regional comprehensive energy system; the survey information includes input energy types, equipment types and equipment capacity;

[0094] The optimization operation module is used to establish the economic planning and operation design model of the regional integrated energy system. The two-stage optimization method is used to minimize the operation cost of the basic framework of the regional integrated energy system according to the optimization goal and the scheduling objective function to obtain the optimal system configuration plan and the optimal equipment operation plan of the regional integrated energy system.

[0095] The two stages include the first stage and the second stage. The first stage inputs the type and rated capacity of the optimized equipment, which include the economic and technical parameters and constraints of the equipment; the second stage inputs the hourly output value of each optimized equipment, which include energy prices, economic and technical parameters and constraints of the equipment.

[0096] Embodiment 3

[0097] See also Figure 3 , an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for optimizing the operation of a regional comprehensive energy multi-objective integrated scheduling is implemented.

[0098] Embodiment 4

[0099] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for optimizing the operation of regional comprehensive energy multi-objective integrated scheduling is implemented.

[0100] Embodiment 5

[0101] The regional integrated energy system is composed of many different types of energy conversion equipment. Each device in the system has its own economic and technical parameters, performance and other variables, which will have a direct or indirect impact on the planning and operation of the entire system. Therefore, when planning and designing the operation of regional integrated energy, it is necessary to first conduct individual mathematical modeling and analysis of various devices in the system, and then optimize the modeling of the entire system on this basis.

[0102] The model has a three-level architecture, in which the first-level architecture is the research on load energy efficiency optimization and adjustable depth algorithm under the comprehensive smart energy scenario; the mathematical model of the comprehensive energy efficiency algorithm between different load types; its main technical indicators are two, one is the energy-saving efficiency under the contract energy management model, and the other is the adjustable depth value; the second-level architecture is the mathematical model of the comprehensive adjustability algorithm between different load types (with energy storage), completing the combination options of different load types; its main technical indicators are the capacity of energy storage that should be configured for the corresponding load and the impact on the adjustable depth, and this impact is placed in the power market to assess the benefits and the estimation of energy storage investment.

[0103] This embodiment uses a two-stage optimization method to optimize the planning and operation of the regional integrated energy system. Figure 4 As shown, firstly, through investigation, we obtain information such as the types of selectable input energy, equipment types and buildable equipment capacity in the region. Then, based on this investigation information, we preliminarily establish the basic framework of the regional integrated energy system. Then, in the first stage, the economic and technical parameters and constraints of the equipment are used as input to optimize the type and rated capacity of the equipment. In the second stage, energy prices, economic and technical parameters of the equipment and constraints are used as input to optimize the hourly output of each equipment. Finally, we obtain the optimal system configuration plan and equipment operation plan of the regional integrated energy system.

[0104] In the two-stage optimization process, the optimization target of the first stage is the annual total cost, and the optimization target of the second stage is the operation and maintenance cost. The first stage will pass the selected equipment type and capacity as input to the second stage. On this basis, the second stage will further optimize the hourly output of each device to minimize the operation and maintenance cost, and feed back the calculated operation and maintenance cost to the first stage to help the first stage select the optimal system configuration solution. Figure 4 . Device categories: Coal Uint (CU), Wind Turbine (WT), Photovoltaic cell (PV), Electric Boiler (EB), Gas Turbine (GT), Power to Gas (P2G)

[0105] 1. Basic Constraints on Energy Devices

[0106] 1. Constraints of coal-fired power units: Coal-fired power units are subject to various constraints during operation, and the start and stop status of the units needs to be considered, so the variable U is introduced CU Indicates the start and stop status of the coal-fired power unit.

[0107] 1.1. Output constraints of coal-fired power units:

[0108]

[0109] Among them, P CU,min : minimum output of thermal power unit;

[0110] P CU,max : Maximum output of thermal power unit;

[0111] The output of thermal power units in time period t;

[0112] If the thermal power unit is in shutdown state, then UFT =0; if the thermal power unit is in the on state, then U FT =1.

[0113] 1.2. Minimum start and stop time constraints for coal-fired power units:

[0114]

[0115]

[0116] in, The start and stop status of the thermal power unit in time period t; 0 means shutdown, 1 means startup;

[0117] The continuous start-up time of the thermal power unit before it is shut down in time period t-1;

[0118] The continuous downtime of the thermal power unit before the start-up time of time period t-1;

[0119] T CU,on : The minimum continuous start-up time required for thermal power units / h;

[0120] T CU,off : The minimum continuous downtime required by the thermal power unit / h;

[0121] 1.3. Ramp rate constraints of coal-fired power units:

[0122]

[0123] The decline rate of thermal power units is MW / minute;

[0124] The ramp rate of thermal power units is MW / min;

[0125] 2. Constraints of gas turbine: As an energy conversion device (gas to electricity, heat), the gas turbine is subject to various constraints during operation, and the start and stop status of the unit needs to be considered, so the variable U is introduced GT Indicates the start and stop status of the gas turbine.

[0126] 2.1. Gas turbine output constraints:

[0127]

[0128] Among them, P GT,min : minimum output of the gas turbine;

[0129] P GT,max : Maximum output of the gas turbine;

[0130] The output of the gas turbine in time period t;

[0131] If the gas turbine is in shutdown state, U GT =0; if the gas turbine is in the start-up state, then U GT =1.

[0132] 2.2 Minimum start and stop time constraints of gas turbines:

[0133]

[0134]

[0135] in, The start and stop status of the gas turbine in time period t; 0 means shutdown, 1 means startup;

[0136] The continuous start time of the gas turbine before it is shut down in period t-1;

[0137] The continuous downtime of the gas turbine before the start-up time of time period t-1;

[0138] T GT,on : Minimum continuous start-up time required by the gas turbine / h;

[0139] T GT,off : Minimum continuous shutdown time required by the gas turbine / h;

[0140] 2.3 Gas turbine ramp rate constraints:

[0141]

[0142] in, The decline rate of the gas turbine is MW / min;

[0143] Gas turbine ramp rate MW / min;

[0144] As a cogeneration device, gas turbines have two types of operation: "determining electricity by heat" and "determining heat by electricity". Because the algorithm model assumes that there is a certain conversion relationship between heat and electricity, the heat output can be indirectly constrained by constraining the electricity output.

[0145] "Electricity determines heat": mainly through direct power generation by gas, heat generation is achieved through heat recovery.

[0146] "Electricity determined by heat": heat is mainly generated by gas, part of which is used as the source of electricity, accompanied by heat recovery, and the remaining heat is used directly as heat load without any treatment.

[0147] 3. Electric boiler constraints: As an energy conversion device (electricity to heat), electric boilers are subject to various constraints during operation, and the start and stop status of the unit needs to be considered, so the variable U is introduced EB Indicates the start and stop status of the electric boiler.

[0148] 3.1. Conversion of electric boiler power and heating capacity:

[0149]

[0150] in, The heating capacity of the electric boiler in time period t;

[0151] The output of the electric boiler in time period t;

[0152] η EB : Electric heat conversion efficiency of electric boiler;

[0153] 3.2. Output constraints of electric boilers:

[0154]

[0155] Among them, P EB,min : Minimum output of electric boiler;

[0156] P EB,max : Maximum output of electric boiler;

[0157] The output of the electric boiler in time period t;

[0158] If the electric boiler is in shutdown state, U EB =0; if the electric boiler is in the on state, then U EB =1.

[0159] 3.3 Minimum start and stop time constraints for electric boilers:

[0160]

[0161]

[0162] in, The start and stop status of the electric boiler in time period t; 0 means shutdown, 1 means startup;

[0163] The continuous start time of the electric boiler before it is shut down in time period t-1;

[0164] The continuous downtime of the electric boiler before the start-up time in time period t-1;

[0165] T EB,on: The minimum continuous start-up time required for the electric boiler / h;

[0166] T EB,off : Minimum continuous downtime required for electric boiler / h;

[0167] 3.4. Electric boiler ramp rate constraints:

[0168]

[0169] in, The drop rate of the electric boiler is MW / min;

[0170] The ramp rate of the electric boiler is MW / min;

[0171] Note: The constraints on electric boilers use the power consumption of electricity as a constraint condition. The constraints on heat can be achieved by constraining the power consumption of electricity.

[0172] 4. Power-to-gas equipment constraints: Power-to-gas equipment is subject to output constraints during operation:

[0173] 4.1. Conversion of power and gas production from electricity to gas:

[0174]

[0175] in, Gas production of power-to-gas equipment in time period t / m 3 ;

[0176] The output of the power-to-gas equipment in time period t;

[0177] η P2G : Electrical conversion efficiency of power-to-gas equipment;

[0178] 4.2. Output constraints of power-to-gas equipment:

[0179]

[0180] Among them, P P2G,min : Minimum output of power-to-gas equipment;

[0181] P P2G,max : Maximum output of the power-to-gas equipment;

[0182] Output of the power-to-gas equipment in time period t;

[0183] If the power-to-gas equipment is in shutdown state, U P2G =0; if the power-to-gas device is in the on state, then U P2G =1

[0184] Note: The power-to-gas device uses the power consumption of electricity as a constraint condition. The constraint on the amount of hydrogen generated can be achieved by constraining the power consumption; the power-to-gas device mainly electrolyzes water to generate hydrogen.

[0185] 5. Wind turbine constraints:

[0186] Wind turbines are subject to output constraints during operation:

[0187] 5.1. Output constraints of wind turbines:

[0188]

[0189] Among them, P WT,max : Maximum output of wind turbine;

[0190] The output of the wind turbine in time period t;

[0191] If the wind turbine is in shutdown state, U WT =0; if the wind turbine is in the on state, then U WT =1.

[0192] 6. Constraints of photovoltaic units: The photovoltaic units are subject to output constraints during operation:

[0193] 6.1. Output constraints of photovoltaic units:

[0194]

[0195] Among them, P PV,min : Minimum output of wind turbine;

[0196] P PV,max : Maximum output of wind turbine;

[0197] The output of the wind turbine in time period t;

[0198] If the PV system is in shutdown state, U PV =0; if the PV unit is in the on state, then U PV =1.

[0199] 2. Load constraints:

[0200] 7. Increase or decrease of electric load: dispatching instructions can be issued according to the electricity price and load supply and demand to adjust the load by reducing all or part of it. For the park, the load that can be reduced must meet the limit of the adjustable capacity on the user side, so the maximum reduction ratio is set to limit it and the compensation cost of the load that can be reduced is considered:

[0201]

[0202] Among them, P t LD : Electric load forecast value;

[0203] The minimum load that can be reduced during time period t;

[0204] The demand side can reduce the electricity load during time period t;

[0205] The maximum proportion of electricity load that can be reduced within time period t;

[0206] 8. Transferable electric load: The load is transferred out when the electricity price is at its peak, and transferred in when the electricity price is at its lowest or when the electricity consumption is at its lowest. The transfer of load must ensure that the load transferred out is equal to the load transferred in, that is, the sum of the load transferred in and out in a scheduling cycle should be 0. The responsive electric load range, that is, the maximum transferable electric load ratio, is set according to the load situation of the park.

[0207]

[0208] For the electric load that can be responded to on the demand side, the sum of the maximum load in the current period and the load participating in the demand response must be less than or equal to the maximum value of the electric load forecast at that moment, otherwise there will be a load loss phenomenon:

[0209]

[0210]

[0211] in, Electric load forecast value;

[0212] Maximum electrical load of the system;

[0213] The electric load participating in the demand-side response in time period t;

[0214] The maximum transferable load ratio in time period t;

[0215] The transferable electric load on the demand side in time period t, positive value indicates transfer out, negative value indicates transfer in;

[0216] 9. Heat load demand response: For the heat load in the park that can participate in demand response, the maximum responsive ratio within the dispatch period should be met;

[0217]

[0218] In period t, when the heat load participating in demand response is transferred out, the maximum transfer amount is the heat load that can be responded to at the current moment;

[0219]

[0220] In period t, when the heat load participating in demand response is transferred, the sum of the heat load transferred at this time and the heat load of the current period shall not be greater than the maximum heat supply that the park system can increase in period t. In a scheduling cycle, the total amount of heat load participating in demand side response should be greater than or equal to 0. If H DR,max = 0, all the heat loads participating in the demand-side response are transferable heat loads: Constrain the heat load forecast value and the heat load participating in the demand response in the park:

[0221]

[0222] The relationship between the heat load prediction value and the heat load after demand response is:

[0223]

[0224] in, Demand side response heat load in time period t;

[0225] The proportion of heat load that can be responded to on the demand side within time period t;

[0226] The predicted value of heat load in time period t;

[0227] The maximum heat load of the system during time period t;

[0228] H LD，max : Maximum heat load of the system (the sum of each period);

[0229] 3. Balance constraints:

[0230] 10. Power balance constraints: 10.1. Power balance constraints: The power purchase of the upper power grid, the output of thermal power units, the output of wind turbine units, the output of photovoltaic units, the output of cogeneration units, the output of gas turbine units and the power load, power-to-gas, and the power consumption and power sales of electric boilers are balanced:

[0231]

[0232] in, The power load purchased from the upper power grid during time period t;

[0233] Output of thermal power units in time period t;

[0234] Wind turbine output in time period t;

[0235] The output of the photovoltaic unit in time period t;

[0236] The output of the gas turbine unit in time period t;

[0237] The actual power supply load of the park in time period t;

[0238] The power consumption of the P2G device in time period t;

[0239] The power consumption of the electric boiler device during the period t;

[0240] The load power sold to the upper grid in time period t;

[0241] Battery charging power and discharging power in time period t;

[0242] 10.2. Extreme power balance constraint: Due to the uncertainty of wind and solar power output, the above balance may not be met. Therefore, an extreme balance constraint is added when the wind and solar power output is zero.

[0243] P in,max +P CU,max +P GT,max =P LD,max +P P2G,max +P EB,max

[0244] Among them, P in，max : Maximum load power purchased from the upper power grid;

[0245] P CU,max : Maximum output of thermal power unit;

[0246] P GT,max : Maximum output of gas turbine unit;

[0247] P LD,max : The maximum load of the actual power supply in the park (the maximum value corresponding to a single moment);

[0248] P P2G，max : Maximum power consumption of the P2G device;

[0249] P EB，max : Maximum power consumption of electric boiler device;

[0250] 11. Natural gas balance constraint: The gas purchased by the park from the upper gas grid is balanced with the gas load demand and the gas consumption of the gas turbine:

[0251]

[0252] in, Gas purchase volume from the upper gas grid during time period t / m 3 ;

[0253] Actual gas supply load in the park during period t / m 3 ;

[0254] Gas consumption of gas turbine unit in period t / m 3 ;

[0255] The filling rate and deflation rate of the gas tank in the period t (m 3 / 15min);

[0256] Note: You can purchase as much natural gas as you need and we do not participate in the sale of natural gas.

[0257] 12. Thermal balance constraints: The park purchases heat from the superior heat network, generates heat from gas turbines, generates heat from electric boilers, and balances heat load demand and heat sales:

[0258]

[0259] in, The heat power purchased from the upper-level heat network in time period t / MW;

[0260] The heat power sold to the upper-level heat network in time period t / MW;

[0261] Heating power of gas turbine equipment in time period t / MW;

[0262] Heating power of electric boiler equipment in time period t / MW;

[0263] The actual heating load power of the park in time period t / MW;

[0264] The charging power and releasing power of the heat storage tank in time period t;

[0265] 13. Hydrogen balance constraint: The park does not need to purchase hydrogen. The main function of P2G is to consume excess electricity to produce hydrogen, and then sell all the hydrogen:

[0266]

[0267] in, Hydrogen production from P2G device in time period t / m3 ;

[0268] Amount of hydrogen sold in the park during period t / m 3 ;

[0269] The filling rate and deflation rate of the gas tank in the period t (m 3 / 15min);

[0270] 4. Costs and benefits:

[0271] 14. Cost of purchasing electricity, gas and heat: In order to meet the basic electricity and gas needs of the park and ensure the normal operation of various equipment, the park needs to flexibly purchase electricity, gas and heat from the superior power grid and gas grid. The purchased electricity is used for electric boiler equipment and P2G equipment, and natural gas is used for gas turbines. The combustion of natural gas drives the impeller to do work for power supply. At the same time, according to the time-of-use electricity price and in coordination with the load-side demand response, the energy purchasing strategy and load distribution are flexibly adjusted. The cost of purchasing gas and electricity is the most important component of the park's operating expenses.

[0272]

[0273]

[0274] Among them, m in,max : The maximum purchase limit of m load;

[0275] The purchase cost of all loads in period t;

[0276] The purchase price of m loads in time period t;

[0277] The purchase amount of m load in period t;

[0278] M: electricity, heat and gas loads;

[0279] 15. Start-up and shutdown costs of units: Frequent start-up and shutdown of units in a short period of time will increase energy consumption, greatly reduce the life of the unit, and increase maintenance costs and energy consumption costs, so it will be included in the park operation costs.

[0280] Start-up and shutdown costs of coal-fired power units, cogeneration equipment, electric boiler equipment, and gas turbine equipment:

[0281]

[0282]

[0283] in, The startup cost of device k in time period t;

[0284] The downtime cost of device k in time period t;

[0285] In time period t, the start and stop status of device k, 0 means shutdown and 1 means startup;

[0286] In time period t-1, the start and stop status of device k, 0 means shutdown and 1 means startup;

[0287] c k,q : The cost of starting device k once;

[0288] c k,s : The cost of one downtime of device k;

[0289] k: different equipment sets {thermal power units, cogeneration equipment, electric boiler equipment, gas turbine equipment}; 16. Marginal cost of unit equipment:

[0290] The unit consumes primary or secondary energy during operation. The greater the unit output, the more it consumes and the higher the cost, so it is included in the park operation cost.

[0291]

[0292] in, The marginal cost of all units in period t;

[0293] The unit marginal cost of the i-th unit in period t;

[0294] The unit output (or energy consumption) of unit i in time period t;

[0295] 17. Fixed cost of unit installation:

[0296] When recommending specific configurations for the unit, different configurations have different corresponding fixed costs. Generally, the higher the output configuration, the more expensive the overall cost. In order to simplify the model, the unit power is calculated on a daily basis and is taken into account in the overall cost.

[0297]

[0298] Among them, F PE : Fixed costs of all production units;

[0299] c i,PE : Unit construction cost of production capacity device i;

[0300] P i,PE,max : Maximum capacity configuration of production device i;

[0301] N: All production units;

[0302] 18. Load demand benefit:

[0303] The park meets the overall demand for all loads through adjustments between different devices and with the external network, and can obtain corresponding load benefits at the same time.

[0304]

[0305] in, The revenue of all loads in period t;

[0306] The unit price of revenue of m loads in time period t;

[0307] The demand of m loads in time period t;

[0308] 19. Revenue from electricity, gas and heat sales:

[0309] The park adjusts the output of equipment and the energy consumption of users according to the time-of-use electricity price, and sells electricity, gas and heat to the superior power grid in a timely manner to obtain additional income and reduce the total cost:

[0310]

[0311]

[0312] Among them, m out,max : The maximum sales volume limit of m load;

[0313] The sales revenue of all loads in period t;

[0314] The selling price of m load in time period t;

[0315] The sales volume of m load in time period t;

[0316] M: Electricity, heat and gas loads.

[0317] 20. Electric load compensation income: The user side generally divides the load participating in demand response into reducible load and transferable load, so that this part of the load can participate in the park scheduling in different forms, which can effectively improve the flexibility and controllability of the system. The main method to promote user participation in demand response is to sign a compensation agreement and price incentive mechanism with users. For transferable load, all transferred loads must be transferred in, and for reducible load, a certain price compensation is given. The compensation fee is as follows:

[0318]

[0319] in, Compensation income in period t;

[0320] The compensation price for reducing electricity load by participating in demand response during time period t;

[0321] The demand side reduces the electricity load in time period t;

[0322] 21. Fixed cost of energy storage device: When recommending specific configurations for energy storage devices, different configurations have different corresponding fixed costs. Generally, the larger the capacity, the more expensive the overall cost. In order to simplify the model, the unit power is used here to calculate the cost per day and is taken into account in the overall cost.

[0323]

[0324] Among them, F SE : Fixed costs of all energy storage devices;

[0325] c i,SE : Unit cost of energy storage device i;

[0326] P i,SE,max : Maximum capacity configuration of energy storage device i;

[0327] M: Electricity, heat and gas load energy storage device.

[0328] The regional integrated energy system can supply various terminal energies such as cooling energy, heat energy and electricity to users within a specific range through the coordinated use of various energy sources and the coupled operation of various equipment. It is an effective means to achieve energy cascade utilization and improve energy utilization efficiency. Compared with the traditional energy supply system, the regional integrated energy system has higher energy utilization efficiency, and the more important advantage is that its economic benefits are very obvious.

[0329] For investors, economic benefits are the most important goal. The planning and operation of the regional integrated energy system should reduce investment and operation costs as much as possible to make the system perform better in terms of economy. In order to maximize the economic advantages of the energy supply system, this embodiment establishes a regional integrated energy system planning and operation optimization model. On the premise of meeting the user load demand, the system equipment configuration is reasonably designed, and the output of each device is effectively arranged to enable the system to achieve economic planning and operation.

[0330] In summary, the dispatching goal of the park's multi-energy complementary integrated energy system is to reduce the park's operating costs and increase the park's wind and solar penetration rate. The operating costs include the cost of purchasing energy from the superior power grid and gas network, the cost of starting and shutting down units in the park, and at the same time, in conjunction with the load-side demand response, flexible dispatching of the park's load, increasing the revenue from selling electricity and gas to the superior network, making full use of the conversion between various energy sources, improving energy utilization and the absorption capacity of wind and solar, and minimizing the total operating cost of the park. The objective function is as follows:

[0331]

[0332] in, The cost of purchasing electricity, gas and heat in time period t;

[0333] The cost of electricity, gas and heat sales during time period t;

[0334] The startup cost of device k in time period t;

[0335] Downtime cost of equipment k in time period t;

[0336] The marginal cost of all units in period t;

[0337] The fixed costs of all units in period t;

[0338] The revenue of all loads in period t;

[0339] The total revenue from peak and frequency regulation in period t;

[0340] The compensation cost of reducing the electric load by demand response in time period t;

[0341] F PE : Fixed costs of all production units;

[0342] F SE : Fixed costs of all energy storage devices;

[0343] k: A collection of different devices.

[0344] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0345] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks 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 produce 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.

[0346] 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 including 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.

[0347] 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.

[0348] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A regional comprehensive energy multi-objective integrated scheduling optimization operation method, characterized in that: The following steps are involved: Obtaining survey information and using the survey information to initialize the basic framework of the regional integrated energy system; the survey information includes input energy types, equipment types and equipment capacity; Establish a regional integrated energy system economic planning and operation design model, and use a two-stage optimization method to minimize the operating cost of the basic framework of the regional integrated energy system according to the optimization goal and scheduling objective function to obtain the optimal system configuration plan and optimal equipment operation plan of the regional integrated energy system; The two stages include the first stage and the second stage. The first stage inputs the type and rated capacity of the optimized equipment, which include the economic and technical parameters and constraints of the energy equipment; the second stage inputs the hourly output value of each optimized equipment, which includes the energy price, the economic and technical parameters and constraints of the energy equipment.

2. According to claim 1, a regional comprehensive energy multi-objective integrated scheduling optimization operation method is characterized in that: The optimization target of the first stage is the annual total cost, and the optimization target of the second stage is the operation and maintenance cost. The optimal system configuration scheme uses a multi-objective particle swarm algorithm to obtain the Pareto optimal solution set of regional integrated energy system planning, and then selects it using a decision-making method based on evidence reasoning.

3. A regional comprehensive energy multi-objective integrated scheduling optimization operation method according to claim 1, characterized in that: The two-stage optimization method is as follows: in the first stage, the equipment type and capacity are selected and input into the second stage; in the second stage, the hourly output of each device is optimized, and the minimized operation and maintenance cost is calculated. The minimized operation and maintenance cost is then fed back to the first stage. The first stage selects the optimal system configuration plan and the optimal equipment operation plan based on the minimized operation and maintenance cost fed back in the second stage.

4. A regional comprehensive energy multi-objective integrated scheduling optimization operation method according to claim 1, characterized in that: The constraints include unit constraints, balance constraints, energy storage device constraints and load constraints; The unit constraints include coal-fired unit constraints, wind turbine unit constraints, photovoltaic unit constraints, electric boiler constraints, gas turbine constraints and power-to-gas constraints; The balance constraints include power balance constraints, power extreme balance constraints, natural gas balance constraints, thermal balance constraints and hydrogen balance constraints; Energy storage device constraints include energy storage device cost; Load constraints include constraints on increasing or decreasing electric loads, constraints on transferring electric loads, and constraints on thermal load demand response.

5. A regional comprehensive energy multi-objective integrated scheduling optimization operation method according to claim 4, characterized in that: The constraints of coal-fired power units include the output constraints of coal-fired power units, the minimum start-stop time constraints of coal-fired power units, and the ramp rate constraints of coal-fired power units; The gas turbine constraints include gas turbine output constraints, gas turbine minimum start and stop time constraints, and gas turbine ramp rate constraints; The constraints of electric boilers include the conversion of electric boiler power and heating capacity, electric boiler output constraints, electric boiler minimum start and stop time constraints, and electric boiler ramp rate constraints. The power-to-gas constraints include the conversion of power-to-gas power and gas production volume and the output constraints of power-to-gas equipment; Wind turbine constraints include wind turbine output constraints; The photovoltaic unit constraint conditions include the photovoltaic unit output constraint.

6. A regional comprehensive energy multi-objective integrated scheduling optimization operation method according to claim 1, characterized in that: The operating costs include the costs of purchasing electricity, gas, and heat, the costs of starting and stopping the unit, the marginal cost of the unit, the fixed cost of the unit, and the fixed cost of the energy storage device; Operating income includes load demand income, electricity sales, gas sales, heat sales income, and electricity load compensation income.

7. A regional comprehensive energy multi-objective integrated scheduling optimization operation method according to claim 1, characterized in that: The scheduling objective function is as follows: Among them, F t in is the cost of purchasing electricity, gas and heat in time period t; F t out is the electricity, gas and heat sales fee in time period t; F t k,q is the startup cost of device k in time period t; F t k,s is the downtime cost of equipment k in time period t; F t m is the marginal cost of all units in period t; F t f is the fixed cost of all units in period t; F t LD is the revenue of all loads in period t; F t FP is the total revenue of peak load regulation and frequency regulation in period t; F t DR is the compensation cost of reducing the electric load by demand response in time period t; F PE is the fixed cost of all production units; F SE is the fixed cost of all energy storage devices; k is a set of different devices.

8. A regional comprehensive energy multi-objective integrated dispatching optimization operation system, characterized in that: It includes a framework building module for obtaining survey information and using the survey information to build a basic framework for a regional integrated energy system; the survey information includes input energy types, equipment types and equipment capacity; The optimization operation module is used to establish the economic planning and operation design model of the regional integrated energy system. The two-stage optimization method is used to minimize the operation cost of the basic framework of the regional integrated energy system according to the optimization goal and the scheduling objective function to obtain the optimal system configuration plan and the optimal equipment operation plan of the regional integrated energy system. The two stages include the first stage and the second stage. The first stage inputs the type and rated capacity of the optimized equipment, which include the economic and technical parameters and constraints of the equipment; the second stage inputs the hourly output value of each optimized equipment, which include energy prices, economic and technical parameters and constraints of the equipment.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for optimizing the operation of a regional comprehensive energy multi-objective integrated scheduling is implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements a regional comprehensive energy multi-objective integrated scheduling optimization operation method as described in any one of claims 1 to 7.

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