Study on Electricity Purchasing Agent Service and Strategy Optimization of Power Grid Enterprises
To further promote the electricity market reform,the industrial and commercial users uninvolved in the electricity market participate in power trading by the agency of power grid enterprises,termed as the electricity purchasing agent service(EPAS).However,the uncertainty of the EP AS loads may result in large deviation penalty for the traditional medium and long term transactions.Therefore,this paper refers to the trading model coordinating the medium and long term and spot markets from the electricity sales companies and analyzes the differences between the EPAS and the decision-making objective functions and electricity purchasing components.Afterwards,it constructs a risk framework,and then proposes EPAS risk index.Taking the risk index as the objective function,it establishes an optimal EPAS procurement model and designs the particle swarm optimization(PSO)for rapid and effective allocation of power purchase in the monthly and day-ahead markets.According to the commercial and industrial electricity consumption of a certain region,the paper verifies the effectiveness of the proposed method.The simulation results indicate that the conditional value at risk is significantly reduced by involving residual power of EPAS,and the improved PSO decreases the calculation time by nearly 20％.
electricity purchasing agent servicerisk frameworkelectricity purchasing strategy optimizationconditional value at risk(CVaR)
万方数据
维普
