基于负荷均衡加载的电力系统分布式经济调度策略

Distributed economic dispatch strategy of a power system based on load balancing loading

在构建以新能源为主题的新型电力系统背景下,电网面临以电动汽车为代表的电气化交通负荷剧增的巨大挑战。针对上述问题提出一种负荷均衡优化模型,将负荷均衡后的集群电动汽车依次并入电网。然后应用多智能体一致性算法,以发电机组的增量成本和集群电动汽车的增量效益作为一致性变量,设计一种集群电动汽车参与电力系统经济调度的算法,通过分布式优化方式解决经济调度问题。建立4种典型的仿真情景,分别验证集群电动汽车分步参与电力系统分布式优化调度的有效性、对不同通信拓扑和功率受约束情况的适用性以及分布式优化算法在集群电动汽车参与经济调度时“即插即用”的能力。在IEEE 39节点系统上进行算例仿真,验证了策略的有效性。

When building a new power system with the theme of new energy,the power grid is facing a huge challenge of a sharp increase in electrical traffic load represented by electric vehicles.To solve the above problem,a load balancing optimization model is proposed,one which integrates the aggregate electric vehicles after load balancing into the power grid in turn.Then,using a multi-agent consensus algorithm,the incremental cost of the generation unit and the incremental benefit of the aggregate electric vehicle are taken as the consistency variables,and an algorithm for the aggregate electric vehicle to participate in the economic dispatch of the power system is designed.The economic dispatch problem is solved by distributed optimization.Four typical simulation scenarios are established to verify the effectiveness of aggregate electric vehicles participating in distributed optimal dispatch of a power system step by step.The applicability of different communication topologies and power constraints and the ability of a distributed optimization algorithm to’’plug and play’’when aggregate electric vehicles participate in economic dispatch are also verified.Simulation results on IEEE 39-bus system verify the effectiveness of the strategy.