基于双层决策模型的WP-ESS平衡模型研究

Research on WP-ESS Balance Model Based on Bi level Decision Model

以接入配电网的风光-储能系统(Wind-PV energy storage system, WP-ESS)为研究对象,探讨了新能源在储能中的参与策略,旨在应对新能源成为电力市场主力的未来趋势,并为配电市场化运营提供决策参考。首先建立了WP-ESS在日前市场和本地平衡储能负荷中的数学模型,然后采用随机双层优化算法,分析了WP-ESS在不同市场中的战略决策,并比较了其在单一日前能源市场和多个市场中的差异。结果表明,WP-ESS在多个市场中的利润与单一日前能源市场有显著不同,且其战略决策与所参与的市场类型有关。最后,对影响WP-ESS利润的因素进行了灵敏度分析,结果显示,储能容量的增加对利润有正面影响,而系统不平衡电价的变化对利润的影响取决于参与的市场类型。为WP-ESS系统在双碳目标下实现利益最大化提供了理论支持和方法指导。

This paper studies the Wind-PV energy storage system(WP-ESS)connected to the distribution network as an independent energy producer,and explores its participation strategy in market transactions,aiming to cope with the future trend of new energy becoming the main force of the power market,and provide decision reference for the distribution market operator(DMO).This paper first establishes a mathematical model of WP-ESS’s profit in the day-ahead wholesale market and the local balancing market,then uses a stochastic bilevel optimization algorithm to analyze WP-ESS’s strategic decisions in different markets,and compares its profit differences in a single day-ahead energy market and multiple markets.The results show that WP-ESS’s profit in multiple markets is significantly different from that in a single day-ahead energy market,and its strategic decision is related to the market type it participates in.Finally,this paper conducts a sensitivity analysis of the factors affecting WP-ESS’s profit,and the results show that the increase of energy storage capacity has a positive impact on profit,while the change of system imbalance price has different impacts on profit depending on the market type involved.This paper provides theoretical support and method guidance for WP-ESS system to achieve maximum benefit under dual carbon target.