Simulations Of Bidding In Medium And Long-term Electricity Market Based On Multi-agent Modeling

In recent years,the reform of Chinese electricity industry's system has been deepening,and most provinces have issued some specific trading rules of medium and long-term electricity market.At the present stage,there are great differences in the design of bidding rules among provincial electricity markets.The background and characteristics of market participants are various.It is necessary to study the changes of market members' behavior under different trading rules and their impact on the electricity market.For this reason,this paper uses multi-agent electricity market simulation technology to study the relevant bidding rules of monthly centralized electricity market,which can provide some references for the design and construction of the electricity market in the future.(1)The different intelligent agent models for market members are established based on multi-agent modeling technology.Firstly,the interaction among the market members is analyzed,and the decision objectives of the generation companies,power users and retailers are discussed respectively.Then,the risk-neutral agent model is established by using e-greedy algorithm in the reinforcement learning.On this basis,the risk-averse agent model is established by using the mean-variance utility theory.These agents can simulate the different bidding behaviors of the market members,which can meet the requirements of electricity market simulation.(2)Some electricity market simulation experiments are carried out,which study the trading rules of monthly centralized electricity market in China.The impact of typical rules including bidding rules,market clearing rules and power users' trading rules on the electricity market operation under different supply and demand conditions is analyzed and compared quantitatively.The results show that different supply and demand conditions and market rules lead to different profit distribution among the market members,and the strategic behaviors adopted by market members change accordingly.The simulation results can provide some references for the formulation of electricity market rules.(3)Based on the State Grid Corporation's experimental platform for electricity market,which is developed with our research group participation,the electricity market simulation experiments are carried out,which study the price limitation rules of monthly centralized bidding in the Provincial Rules for the Implementation of Medium and Long-term Electricity Transactions(Trial Implementation)formulated by a regional electricity trading center.The experiments use the data of market members who participated in direct power purchasing between A and B provinces in 2017.The simulation results show that the adjustment of the market ceiling price and floor price have influence on the stability of the market and the percentage of new energy generation capacity.