CN-122022236-A - Multi-main-body multi-energy scheduling system and method for comprehensive energy system

CN122022236ACN 122022236 ACN122022236 ACN 122022236ACN-122022236-A

Abstract

The invention discloses a multi-main-body multi-energy scheduling system and method for a comprehensive energy system, wherein an operator makes a 24-hour primary plan for purchasing energy based on electricity price, heat price, gas price and energy storage parameters, the provider independently performs price competition according to wind, light, garbage and equipment capacity, a producer responds to the energy-purchasing price in a alliance mode, optimizes the integral energy-purchasing demand and internal P2P transaction amount, the operator iteratively updates the energy-purchasing and the energy-purchasing price, rapidly converges through a binary tightening boundary, finally distributes internal settlement price according to 'multi-supply multi-benefit' by asymmetric Nash negotiation, and outputs the energy-saving, energy-purchasing and P2P transaction plan of each party, thereby realizing multi-main-body multi-energy closed loop coordination. The method aims to solve the energy scheduling problem of the comprehensive energy system, which relates to multi-energy coupling, multi-main-body benefit conflict and uncertainty of renewable energy power generation, and realize reasonable allocation of resources among different main bodies of the comprehensive energy system.

Inventors

Hu mian
FAN ZHIYI
WU HUAIYU
CHEN YANG
XIONG LING
ZHENG XIUJUAN

Assignees

武汉科技大学

Dates

Publication Date: 20260512
Application Date: 20251216

Claims (10)

1. The multi-main-body multi-energy coordination control method of the comprehensive energy system is characterized by comprising the following steps of: an operator makes a 24-hour primary plan for purchasing and selling energy based on electricity price, heat price, gas price and energy storage parameters; Issuing an initial energy purchasing plan to each energy supplier, wherein each energy supplier independently operates a bidding module at local, and the bidding module is set to independently bid according to wind, light, garbage and equipment capacity; The producers and consumers respond to the selling energy price in a alliance mode, and the integral purchasing energy requirement and the internal P2P transaction amount are optimized; the operator iteratively updates the energy purchasing and the energy selling price, and the boundary is tightened by a dichotomy to quickly converge; and finally, distributing internal settlement prices according to 'multi-supply multi-benefit' by asymmetric Nash negotiation, outputting energy storage, purchase and sale energy and a P2P transaction plan of each party, and realizing multi-main multi-energy closed-loop coordination.
2. The multi-main-body multi-energy coordination control method of the comprehensive energy system according to claim 1 is characterized by reading an external electricity price, a heat price and a gas price time-sharing list of 24 hours on the same day, and simultaneously reading energy storage limiting parameters of energy storage equipment of an operator of the comprehensive energy system, wherein the energy storage equipment at least comprises an electric energy storage unit, a heat energy storage unit and a gas energy storage unit, wherein the energy storage limiting parameters comprise initial electric quantity, charge and discharge efficiency and upper and lower capacity limits; the photovoltaic and wind power generation output power of each energy supplier typical scene, the probability value of each scene, the dry garbage and wet garbage availability, the domestic sewage flow and the maintenance unit price of each device are read; The fixed electric load, thermal load and gas load curves of each producer and the load ratio can be transferred/reduced, and the photovoltaic and wind power prediction power generation curves are read.
3. The multi-main-body multi-energy coordination control method of the comprehensive energy system according to claim 1, wherein an operator makes an 'upper layer decision' firstly, and under the goal of maximum profit per se, the energy purchasing price of each energy supplier and the energy selling price of a consumer in the future 24 hours are calculated by combining external electricity price, heat price, gas price and the energy storage limiting parameter to form an energy selling primary plan or a first-edition plan.
4. The multi-main-body multi-energy coordination control method of the comprehensive energy system according to claim 1 is characterized in that a first version of planned energy purchasing is issued to each energy supplier, each energy supplier independently runs a bidding module locally, each energy supplier calculates an optimal energy selling price of a factory according to garbage amount, wind and light prediction and equipment capacity and transmits the optimal energy selling price back to an operator, the first version of planned energy selling price is issued to each producer and each producer receives the issued price in a 'alliance' mode, the total optimal energy purchasing demand of the alliance and the total optimal energy purchasing demand of the operators and internal P2P sharing transaction amount are calculated under the minimum total cost target, the total optimal energy purchasing demand is transmitted back to the operator, the 'alliance' mode is set to enable at least two producers to acquire the same price, the operator updates the energy purchasing to each energy supplier and the energy selling price to the producer according to the optimal energy selling price of each energy supplier and the total optimal energy purchasing demand of the producer, and obtains a second version of the plan sequentially and finally obtains an iterative plan.
5. The multi-main-body multi-energy coordination control method of the comprehensive energy system according to claim 1, wherein the boundary of the next round of planning is tightened by a dichotomy, the minimum value of the energy purchased from the previous two rounds and the price of the energy sold are taken as the lower limit of the new round, and the maximum value is taken as the upper limit of the new round, so that the searching range is rapidly reduced, and the iteration times are reduced.
6. The method for coordinated control of multiple main bodies and multiple energy sources of an integrated energy system according to claim 1, wherein each consumer receives the internal P2P transaction amount and the selling energy price of an operator, and distributes internal settlement prices according to a multi-supply multi-benefit mechanism by asymmetric Nash negotiation to form 24-hour transaction prices between each pair of consumers, wherein the multi-supply multi-benefit mechanism is set to ensure that the consumers supply more electric energy to other consumers in the whole alliance process, so that the distributed benefits are more.
7. The multi-main-body multi-energy coordination control method of the comprehensive energy system according to claim 1 is characterized in that the executable substep of the bidding module comprises the substep 1 of sending the weight of the daily dry garbage into a pyrolysis gasification unit to obtain an electric energy and heat energy yield curve, the substep 2 of mixing the wet garbage with sewage into an anaerobic tank to obtain a biogas yield curve, the substep 3 of purifying biogas into substitute natural gas and recording available gas power per hour, the substep 4 of determining the electricity selling, heat and gas prices according to the energy purchasing demands of operators after merging the gas, the photovoltaic and the wind power, and finally returning the electricity price-heat price-gas price quotation curve.
8. The multi-main-body multi-energy coordination control method of the comprehensive energy system according to claim 1 is characterized in that the total optimal energy purchasing demand and the internal P2P sharing transaction amount in the step S6 are obtained in a two-stage distributed robust mode, wherein in the first stage, the energy purchasing demand when the total alliance cost is minimum is calculated according to photovoltaic and wind power generation output power values of typical scenes and initial probability values corresponding to each scene, in the second stage, the worst scene demand with highest demand response cost is found out in a probability allowable fluctuation range, and in the first stage, the obtained energy purchasing demand is finely tuned, so that even if scenes are poor, the alliance cost is still minimum.
9. The method of claim 1, wherein the asymmetric Nash negotiation step S12 includes a step A of calculating a supply ratio and a receiving ratio by counting total power and total power sent by each generator and received in a sharing period, and a step B of solving an internal price of electricity in a manner that a generator member with a high supply ratio and a low receiving ratio obtains a higher bargained price weight, so that the running cost of each person after cooperation is lower than that when electricity is purchased independently.
10. A scheduling system comprising a processor, a memory and a program stored on the memory and executable on the processor, wherein the program when executed by the processor performs the steps of the method of any one of claims 1-8.

Description

Multi-main-body multi-energy scheduling system and method for comprehensive energy system Technical Field The invention relates to an energy scheduling and control method, in particular to a multi-main-body multi-energy scheduling system and method of an integrated energy system. Background In the background of current energy and environmental crisis, research on comprehensive energy systems mainly comprising renewable energy and coupled output of multiple energy sources is increasingly paid attention to. The comprehensive energy system can realize complementation of multiple energy sources of electricity, heat and gas, and has the characteristics of high comprehensive energy utilization efficiency, promotion of renewable energy consumption and the like. Renewable energy sources represented by wind power and photovoltaics are increasingly popular, randomness and uncertainty of the renewable energy sources bring great challenges to safe operation of a comprehensive energy system, and a large amount of biomass waste resources such as garbage, domestic sewage and the like are not fully developed and utilized. At the same time, as more and more bodies are involved in integrated energy systems, there is a complex relationship of interest between these bodies in both the lateral and longitudinal dimensions. Thus, it is of great importance to study the distribution of benefits between multiple subjects of integrated energy systems considering renewable energy uncertainty and biomass waste resources. In the existing research on comprehensive energy system scheduling systems and methods, the defects mainly exist in several aspects: 1) Research into biomass waste resources has limitations. At present, the research on biomass waste resources in comprehensive energy system scheduling mainly considers the overall operation cost of the system, but with the increase of participating subjects, only the overall operation cost is considered, so that the internal subject energy interaction behavior cannot be reflected, and the system has a certain limitation. 2) There are limitations to the study of the interaction of energy sources with a participating subject. At present, the research of multiple subjects in comprehensive energy system scheduling only considers the competition relationship of a supply side or the cooperation relationship of a demand side, but fails to comprehensively consider the internal energy interaction relationship of each subject, and fails to consider the interaction relationship from two dimensions of transverse and longitudinal, wherein the transverse refers to among a plurality of energy suppliers and among a plurality of producers. The vertical direction refers to between an upper layer operator and a lower layer energy supplier and a lower layer producer. Has certain limitations. 3) There are limitations to renewable energy generation uncertainty solutions. At present, the uncertainty of renewable energy power generation is mainly applied to robust optimization and random optimization in regard to a multi-main multi-energy scheduling system, but the two methods have certain limitations, and the limitations of the two methods are overcome by distributed robust optimization. And the problem of uncertainty of renewable energy power generation in the multi-main-body multi-energy scheduling system is solved by utilizing distributed robust optimization, only a supply side is considered singly, a demand side is not considered, and certain limitation is achieved. As the main bodies participating in the comprehensive energy system dispatching system are more and more, the existing dispatching system and transaction method can not fully solve the problems of benefit conflict and resource allocation among multiple main bodies. The invention provides a multi-main-body multi-energy scheduling system of an integrated energy system, which introduces a biomass waste conversion system into the multi-main-body multi-energy scheduling system and considers the economic benefits of all main bodies, and provides a multi-main-body multi-energy transaction method of the integrated energy system, which considers the competition relationship of a supply side and the cooperation relationship of a demand side, and also considers the competition relationship between a third-party operator and supply and demand, and fully considers different transaction modes between different main bodies from two dimensions of transverse and longitudinal directions. The problem of uncertainty of renewable energy power generation is solved by means of distributed robust optimization, and the problem of uncertainty of two sides of supply and demand is comprehensively considered, so that the method and the device are more in line with actual conditions. Disclosure of Invention The invention aims to provide a multi-main-body multi-energy scheduling system and a multi-main-body multi-energy scheduling method for an integrated energy system, whic