基于交替方向乘子法的主动配电网分布式多目标优化调度

主动配电网优化调度是实现主动配电网中各类分布式能源协调、高效利用的有效手段。随着分布式能源渗透率的逐渐提高,传统的集中式优化调度面临计算复杂、通信量大、目标单一等问题,基于此,提出了一种基于交替方向乘子法(alternating direction method of multipliers,ADMM)的主动配电网分布式多目标优化调度方法。建立了计及分布式电源、柔性负荷、储能装置等的多区域、多目标优化调度模型,采用ADMM进行相邻分区间的交替迭代并行计算,降低了计算复杂度,并且各分区可根据利益主体的不同实际情况与重点需求,科学、独立地确定不同的优化目标,与目前普遍采用的统一设定各分区相同优化目标的调度方法相比,大大提高了灵活性;同时,相邻分区间只需交互少量信息,使通信量大幅减小。最后通过对算例的分析验证了所提方法的可行性与高效性。

Multi-Objective Distributed Optimal Dispatch of Active Distribution Network Based on Alternating Direction Method of Multipliers

Active distribution network optimal dispatch is an effective means to realize the coordinated and efficient use of distributed energy.This paper proposes an distributed multi-objective optimal dispatch method for active distribution network based on the alternating direction method of multipliers (ADMM) aiming at the problem that the traditional centralized optimal dispatch is facing, such as complicated calculation, large amount of information transmission and single target caused by the gradual increase of the distributed energy penetration rate.Firstly, we establish a distributed multi-objective optimal dispatch model involving distributed generators, flexible loads and energy storage system, and use ADMM to compute in parallel by alternating iterations between adjacent partitions, to reduce the computational complexity.Besides, each district can scientifically and independently determine its own optimal objectives according to the actual situation and the need of optimization, which can improve the flexibility of the optimization target selection compared with the widely adopted method with unified optimal objectives in each district.And only a small amount of information is exchanged between adjacent partitions, reducing the information transmission amount.Finally, through the calculation of simulation example, the feasibility and efficiency of the proposed method are verified.