Research On Optimal Operation Strategy Of Multi-park Integrated Energy System Based On Cooperative Game

With the increasing scarcity of fossil energy and the increasingly serious environmental problems,people put forward higher requirements for the efficient use of energy supply systems and low-carbon environmental protection.The uncertainty of new energy output,load demand and energy market price will have an impact on the optimal operation of the integrated energy system.At the same time,the traditional optimal operation method of integrated energy system with single-agent decision-making as the main feature will be difficult to solve the optimal operation problem of complex multiagent.Therefore,it is of great significance to study the optimal operation strategy of the multi-park integrated energy system that takes into account the economy and forecast uncertainty.In this paper,we introduced the cooperative game theory for the optimal operation of the integrated energy system,and conducted detailed research on the construction and solution of the optimal operation model of the multi-park integrated energy system.First,the theoretical basis of the integrated energy system is studied.A structural framework for interconnection of multi-park integrated energy systems has been established.The energy flow of the system and the mathematical modeling process of the energy coupling device are analyzed,which lays a theoretical foundation for the research in the next chapter.Secondly,comprehensively consider the output uncertainty of new energy units and the phenomenon of abandoning wind and light,and carry out research on the centralized optimization operation strategy of multi-park integrated energy systems.Based on cooperative game theory,a Nash bargaining method considering carbon transaction costs is proposed,which transforms the original optimization problem into two sub-problems that can be solved sequentially,namely,social cost minimization and payment benefit maximization.Aiming at the uncertainty of photovoltaic and wind power output,an improved robust optimization model for information gap decision-making is proposed.The simulation analysis of a numerical example shows that the proposed model and method reduce the system operating cost and carbon emissions,and quantify the tolerance of the system to the uncertainty of photovoltaic and wind turbine output.Finally,according to the privacy protection requirements of different stakeholders,a distributed optimization operation strategy research on the multi-park integrated energy system is carried out.A stochastic optimization method is used to deal with the risks brought by the uncertainty of variables.Since the uncertainty of electricity price is far greater than that of other variables,the CVa R theory is used to describe the risk cost of price fluctuations in the electricity market.To protect privacy,the alternating direction multiplier method is used to solve the two subproblems sequentially in a distributed manner.The simulation analysis of an example shows that the proposed model reduces the operating cost of system optimization and improves the economy and flexibility of the system;CVa R theory provides a reference scheme for the trade-off between economic benefit and risk level of the system.