Optimization model of WPO-PVO-ESO cooperative participation in day-ahead electricity market transactions considering uncertainty and CVaR theory

摘要

Affected by uncertainty, clean energy power generators need reserve units to alleviate the problems caused by its uncertainty. With the development of energy storage technology, the characteristics of flexibly charging and discharging can reduce the deviations generated by clean energy power generators participating in the electricity market. Firstly, this paper constructs mechanisms for wind power operators, photovoltaic power operators, and energy storage operators in independent and cooperation modes. Secondly, uncertainty analysis models for wind power and photovoltaic power are built, and a solution for processing the uncertainty of clean energy power generation is proposed based on the Latin hypercube scenario generation and synchronous back generation reduction method. Thirdly, day-ahead trading optimization model for wind power, photovoltaic power, and energy storage operators in independent mode and cooperative mode are constructed under risk-neutral situation and CVaR-based risk non-neutral situation, respectively. Finally, a northern area in China is selected as research background to set multiple cases, and CPLEX solver is applied to solve the optimization model, thus verifying the proposed strategy and model?s effectiveness.