考虑负荷动态响应特性的居民小微负荷优化调度策略

Optimal scheduling strategy for residential small micro-loads considering dynamic response characteristics of loads

伴随电力市场的快速发展,居民侧灵活小微负荷资源大量涌现并成为电网互动业务的主要参与角色。提出了考虑负荷动态响应特性的居民小微负荷优化调度策略,设计了主站-聚合商-小微负荷的多层级协调互动架构。基于典型小微负荷的动态响应特性,构建了可转移、可削减等柔性负荷特性模型。应用贝叶斯算法对用户侧负荷数据进行分类预测,得到用户参与需求响应后的负荷聚合曲线,进一步以聚合商成本最小化为目标建立小微负荷运行优化模型,并通过Cplex求解器进行求解。研究结果表明,所提模型可有效削减峰谷差值以及降低聚合商运行成本,提升负荷协调互动过程中的经济综合效益。

Along with the rapid development of the electricity market,flexible small micro-load resources on the residential side have proliferated and become the main participant in the grid interaction business.This paper proposes an optimal scheduling strategy for residential small micro-loads considering the dynamic response characteristics of loads,and design a multi-level coordination and interaction architecture of master station,aggregator and small micro-load.Based on the dynamic response characteristics of typical small micro-loads,a flexible load characteristic model such as transferable and curtailable is constructed.The Bayesian algorithm is applied to classify and predict the user-side load data to obtain the load aggregation curve after the user participates in the demand response,and further establishes the small micro-load operation optimization model with the objective of minimizing the cost of aggregators,and solves it by the Cplex solver.The research results show that the proposed model can effectively reduce the peak-to-valley difference and the aggregator's operation cost,and enhance the comprehensive economic benefits in the coordinated interaction process.