Research On The Construction Of The Contract Product System Of The Initial Electricity Market In Zhejiang Province

Aiming at the problems in the initial construction of the Zhejiang power market,there were mainly the lack of trading mechanisms and varieties of trading in the power market,and the diversification and activeness of the participants in the power market.This article focuses on the construction of the contract product system in the initial power market in Zhejiang Province.The main work is as follows:(1)Research on domestic and international typical power contract market operation experience.This section focuses on the electricity contract market operation experience represented by the United Kingdom and the United States PJM,as well as the practical experience of Guangdong and Yunnan,the leading provinces in the new round of power system reform.By summing up the domestic and foreign power contract market construction experience,the initial power contract in Zhejiang Province is carried out for the follow-up Product system design provides ideas.(2)Study the key issues in the construction of the Zhejiang power contract market.This section analyzes the key issues in the design of contract products based on the analysis of the characteristics and implementation paths of Zhejiang power grid,identifies the similarities and differences between physical contracts and financial contracts,and compares the clearing methods of centralized bidding.The contract product system lays the theoretical foundation.(3)Design the contract product system of Zhejiang's initial power market.Based on the constituent elements of power contract products,this section starts from the aspects of the transaction subject,the transaction variety,the transaction organization method and the trading mechanism,etc.,to build the Zhejiang province's initial power market contract product system,and analyzes the connection relationship of contract transactions between provinces and markets in the province.(4)Analysis of trading behavior of power contracts.Propose a power market quotation model based on ?-greedy reinforcement learning algorithm and analyze and predict the possible transaction behaviors of various types of market entities;construct a market power index system for power producers,and propose a comprehensive power market power generation based on combination weighting and trapezoidal cloud model Evaluation model;The application of expected utility-entropy model to the research on the power contract portfolio trading decision of power producers.The research in this section can provide some reference for the further design and modification of contract products and mechanisms in the future.