基于一致性的综合能源微电网分布式优化调度

Distributed Optimal Scheduling of Integrated Energy Microgrid Based on Consistency

随着微电网中能源转换形式的丰富以及供电去中心化的发展,综合能源微电网的经济效益也得到广泛关注。本文基于发电供热成本微增率一致性原理,对综合能源微电网进行分布式供电调度经济性优化,在满足各个分布式微源的物理约束以及能量供需平衡约束的前提下,使用多智能体分布式一致性优化方法,使各微源发电供热的成本微增率趋于一致,进而达到综合能源微电网供电经济效益最优。通过实验在MATLAB中仿真验证了该分布式优化算法的有效性,基于LabVIEW和MATLAB平台,在3台分布式上位机上,实现了基于实时通信的分布式最优经济调度。实验结果显示分布式一致性算法应用的可行性及降低发电供热成本的有效性。

With the enrichment of energy forms in microgrids and the development of power supply decentralization,the eco-nomic efficiency of integrated energy microgrids has also gained attention.In this paper,the distributed power supply scheduling optimization of integrated energy microgrids is based on the generation incremental cost rate principle.Under the condition of satisfying the physical constraints of each distributed microsource and the energy supply and demand balance constraints,the multiagent consensus-based distributed optimization method is used to achieve the consistent incremental cost rate of each mi crosource,and then achieve the optimal economic efficiency of the integrated energy microgrid power supply.In the experimental part,the effectiveness of the distributed optimization algorithm is firstly verified in MATLAB simulation,and then a 3-Bus sys-tem is implemented in LabVIEW and MATLAB platform on three distributed computers based on real-time communication.The experiment results show the application feasibility of the distributed consensus algorithm in practice and the effectiveness of reducing the cost of system power and heat generation.