市场环境下含多物理实体的最优竞价策略研究

Research on Optimal Bidding Strategy with Multiple Physical Entities in Market Environment

为了解决分布式能源的间歇式和波动性的问题,以需求响应项目中的系统运营商、负荷聚合商以及负荷端用户这三个主要的物理实体为研究对象,分析了其组成的电力系统内部供需之间的交易,考虑到整体系统负荷用户端的收益客观条件,提出将负荷聚合商、系统运营商以及负荷端用户的收益影响要素相结合,以负荷聚合商的收益为优化目标,构建市场环境下含多类物理实体的优化竞价模型,模型中系统调度电量的余量和缺额量直接和电力市场相衔接。对一个典型案例进行研究,结果表明最优竞价模型可有效地提高负荷聚合商的收益,并且一定程度上增加了负荷用户的收益,进而间接地提高了电力系统的稳定性。

In order to solve the problems of intermittent and fluctuating distributed energy,took three major physical entities in the demand response project,namely system operator,load aggregator and load end user,as the research object,the transactions between supply and demand within the power system composed by them were analyzed,and the objective conditions of the benefits of the whole system load user were considered.The factors affecting the income of load aggregators,system operators and users at the load end were proposed to combined,and an optimal bidding model with multiple types of physical entities under the market environment with the income of load aggregators as the optimization objective was constructed.In the model,the surplus and shortage of system scheduled electricity were directly connected with the power market.A typical case study shows that the optimal bidding model can effectively improve the benefits of load aggregators,and to some extent increase the benefits of load users,and indirectly improve the stability of power system.