针对新能源发电不稳定导致整个电力市场运行不平稳的问题,设计了一个虚拟电厂参与调峰辅助市场的运行成本模型.通过容纳多个风电、光伏发电和储能电站组建虚拟电厂(Virtual Power Plant,VPP),实现对电力现货市场数据的全面选择.构建调峰辅助的运营模型,然后将内部各电力部门的资源关系进行整合分析,利用条件风险价值(Conditional Value at Risk,CVaR)首先确定虚拟电厂调峰市场的投标时段、容量和柔性负荷运行计划;然后确定虚拟电厂中储能的充放电功率、弃风弃光功率、调峰实际出力和直接交易功率;之后采用Shapley值对市场运行成本进行优化和分析.试验结果表明,误差率在可接受范围内,表明该成本模型具有一定的实用性和优越性.
Research on the Operation Cost Model of Virtual Power Plants Participating in Peak Regulation Auxiliary Markets
Aiming at the problem that the instability of new energy power generation leads to the unstable oper-ation of the whole power market,an operation cost model of virtual power plant participating in peak regulation auxiliary market is designed.By accommodating multiple wind power,photovoltaic power generation and energy storage power stations to form a virtual power plant(VPP),a comprehensive selection of electricity spot market data is realized.The operation model of peak regulation auxilia-ry is constructed and the resource relationship of internal power departments is integrated and analyzed.First,the conditional value at risk(CVaR)is used to determine the bidding period,capacity and flexible load operation plan of the virtual power plant peak regulation market;then,determine the charging and discharging power of energy storage in the virtual power plant,the power of abandoning wind and light,the actual output of peak regulation and the direct trading power;at last,optimize and analyze the mar-ket operation cost by application of the Shapley value.The experimental results show that the error rate is within the acceptable range,which indicates that the cost model has certain practicability and superiority.
NETL
NSTL
万方数据
维普
