Optimal Scheduling Of Integrated Energy System Based On Paid Allocation Of Carbon Quota And Game Theory

At present,low energy utilization and energy supply shortage have become hot issues of research worldwide.The introduction of the concept of integrated energy systems has improved the ability to absorb renewable energy and reduced energy utilization costs.However,a series of environmental and climate issues caused by the scheduling mode of high carbon emissions in integrated energy systems affect the normal lives of people.Driven by the development of clean energy technologies and China’s "dual carbon" goal,clean and low-carbon scheduling strategies have become an inevitable choice for integrated energy systems.This article applies the paid allocation carbon quota trading system to the integrated energy system,based on reducing carbon emissions in the normal operation of the energy system.The research contents of this paper are as follows:Firstly,a paid allocation strategy for carbon quotas based on Nash bargaining is proposed.Government departments and comprehensive energy system agents obtain the expression of carbon quota bargaining solution through Nash bargaining.The comprehensive energy system uses Nash bargaining solution as a fixed price to purchase carbon quotas.An appropriate bargaining solution optimizes the scheduling output of various equipment in the comprehensive energy system while considering its economic capacity,thereby constraining the system’s carbon emissions.Considering the fluctuation of load on the user side and the problem of increased carbon emissions caused by high energy supply during peak electricity consumption,the scheduling curve of the equipment using batteries is further adjusted to reduce the carbon emissions of the comprehensive energy system to a greater extent.Establishing an objective function with the minimum total operating cost of the system.The simulation results show that the proposed trading strategy and operating mode can optimize the system’s scheduling strategy,achieve peak shaving and valley filling effects,and reduce the system’s carbon emissions.Secondly,a paid auction trading strategy for carbon quotas based on dark bid auction is proposed.Divide several integrated energy systems into two equal groups,each with an agent in charge.During the first round of auction,agents submit appropriate bids based on information such as the carbon emissions of the integrated energy system and the price they can bear for carbon quotas.Agents with higher prices can have priority in obtaining limited carbon quotas.Subsequently,each energy system organizes a second round of auction process based on the redundancy and shortage of carbon quotas.The integrated energy system with insufficient carbon quotas submits an appropriate price to bid for a limited carbon quota,and uses an iterative algorithm to solve the problem.This trading strategy strengthens the links between integrated energy systems and reduces their carbon emissions.The simulation results provide a basis for government departments to select appropriate parameters for regulating the carbon trading market.