基于Barzilai-Borwein梯度法的多微电网系统递阶优化调度算法  

A Hierarchical Optimization Algorithm of Multi-microgrid System Based on Barzilai-Borwein Gradient Method

作　　者：郑鹏远 李琴 孙忠林 ZHENG Peng-yuan;LI Qin;SUN Zhong-lin(College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

机构地区：[1]上海电力大学自动化工程学院,上海200090

出　　处：《科学技术与工程》2020年第30期12443-12451,共9页Science Technology and Engineering

基　　金：国家自然科学基金(61573239);上海市自然科学基金(15ZR1418600);系统控制与信息处理教育部重点实验室开放课题(Scip201509)。

摘　　要：针对由多个相互关联的微电网组成的多微电网系统,提出基于Barzilai-Borwein梯度法的多微电网系统递阶优化调度算法。该算法通过协调各子网多余或缺少的能量,并优化各子网发电设备以实现各微电网能量供需平衡,最小化多微电网系统整体运行成本。首先建立多微电网能量流动模型及其能量管理优化问题,随后综合预测控制的滚动优化思想和关联平衡原理,设计了多微电网系统的递阶优化调度算法。并引入Barzilai-Borwein梯度法对子微电网之间协调,提升协调级迭代计算寻优过程的收敛速度,驱动各子网的独立优化解快速收敛至多微电网的整体优化解。结果表明:该方法以较低的计算量取得了良好的多微电网能量管理效果。数值仿真验证了本文算法的有效性。A hierarchical optimization scheduling algorithm based on Barzilai-Borwein gradient method was proposed for the multi-microgrid system consisting of multiple interconnected microgrids.In the algorithm,the excess or lack of energy could be coordinated,the power generation of each subnet be optimized to fulfill the energy supply and demand balance,and the overall operating cost of the multi-microgrid system be minimized.The energy flow model of multi-microgrid and its energy management optimization issues were established.Consequently,the rolling optimization idea and the principle of correlation balance were combined to design a hierarchical optimization scheduling algorithm.In addition,the Barzilai-Borwein gradient method was introduced to coordinate the sub-microgrid and speed up the convergence speed of the coordination process.The independent optimization solution of each subnet was driven to quickly converge to the overall optimization solution of the multi-microgrid.The results show that the proposed method achieves a better energy management effect with lower computational burden.The effectiveness of the proposed algorithm has been verified by numerical simulation.

关 键 词：多微电网系统 能量管理 关联平衡原理 Barzilai-Borwein梯度法 递阶优化 

分 类 号：TM734[电气工程—电力系统及自动化]