内嵌需求响应的新型电力系统源网荷储协同优化技术

New Power System Source Network Load Storage Collaborative Optimization Technology with Embedded Demand Response

为了改善新型电力系统源网荷储协同优化技术中参数的复杂多样性与随机不确定性,降低电网运行成本,实现用户侧与需求侧用电平衡,研究内嵌需求响应的新型电力系统源网荷储协同优化技术。基于新型电力系统源网荷储结构,构建包含负荷资源和储能资源的用户侧需求响应模型,便于考虑用户需求响应调整用户侧用电方式,产生可中断负荷或转移负荷。需求侧响应以用户补贴费用最低、系统损耗最小为目标函数,结合负荷侧、储能设备、可控分布式电源、电网功率平衡约束条件,构建源网荷储协同优化模型,并采用遗传算法通过交叉、变异运算求解获取需求响应补贴费用最低、系统损耗最小的协同优化结果。实验结果表明:在不同情景下,经过本文方法协同优化后,可降低热电出力,增加系统风电消纳空间,将电价高时期负荷转移至低时期;实现用电负荷平衡,在负荷低时有效提升风电消纳空间,提高供电效率,减少成本损耗与需求响应成本。

In order to improve the complex diversity and stochastic uncertainty of parameters in the new power system source network load storage collaborative optimization technology,reduce the grid operation cost,and realize the balance of power consumption between the user side and the demand side,a new power system source network load storage collaborative optimization with embedded demand response and technology is studied.Based on the new power system source network load storage structure,a user side demand response model including load resource and energy storage resource is constructed,which is convenient to consider the user demand response to adjust the user side electricity consumption mode,so that the interruptible load is generated or the load is transferred to the demand side response.The objective function provides users with the lowest subsidy cost and the smallest system loss.Combined with the load side,energy storage equipment,controllable distributed power supply,and grid power balance constraints,a source network load storage collaborative optimization model is constructed,and the genetic algorithm is used to obtain the co-optimization result with the lowest demand response subsidy cost and the smallest system loss through the crossing and mutation operation.The experimental results show that under different scenarios,using the collaborative optimization of the method proposed in this paper,the thermal power output can be reduced,the wind power consumption space of the system can be increased,and the load from the period of high electricity price can be transferred to the low period.It improves wind power consumption space,improves power supply efficiency,and reduces cost losses and demand response costs.