基于分层内嵌预测控制的多微电网能量优化管理  

Hierarchical Nested Predictive Control for Energy Management of Multi-microgrids System

作　　者：董亦 邹媛媛[2] 牛玉刚 DONG Yi;ZOU Yuan-yuan;NIU Yu-gang(Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;Key Laboratory of System Control and Information Processing,Department of Automation,Shanghai Jiao Tong University Shanghai 200240,China)

机构地区：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237 [2]上海交通大学自动化系,系统控制与信息处理教育部重点实验室,上海200240

出　　处：《华东理工大学学报（自然科学版）》2018年第4期463-473,共11页Journal of East China University of Science and Technology

基　　金：国家自然科学基金(61374107,61573174,617731G2)

摘　　要：针对提高多微电网的恢复力,考虑微电网发生故障时的多微电网能量调度管理,提出了一种基于分层内嵌结构的预测控制策略。在内嵌结构层中,通过对不同微电网的负荷关键度进行区分,将拥有关键负荷的微电网嵌套于内嵌结构里层进行保护,保证了关键微电网的安全运行,有效降低故障微电网的波及影响。在中央调度层,通过协调各微电网及电动汽车出力,在考虑电动汽车接入微电网具有随机性的情况下,实现对故障微电网在短期内的功率支撑,保证其长期安全运行的目的。仿真结果表明,本文提出的方法能够在微电网发生故障时对故障微电网提供可靠的能量供给,满足多微电网系统的功率平衡,同时降低故障的影响范围,保证多微电网系统的安全运行。Microgrid, as the most important part of the grid, is susceptible to extreme natural disasters or equipment failures, because it relies on renewable energy for power generation. In order to enhance microgrid resilience and effectively control the adverse effects of faulty units, this paper presents a hierarchical nested predictive control （HNPC） strategy for multi-microgrids system with electric vehicles （EVs）. At nested structure layer, the microgrids are divided according to different types （household, commercial, industrial, etc.） and nested according to different load levels to reduce the impact of the faulty unit. When the microgrid with critical load is under fault condition, the nested structure can preferentially meet the power balance of this microgrid. If the microgrid with normal load failures, this structure will allow the microgrid at inner level to avoid the effect of fault hazard. Hence, the influence of microgrid failures can be reduced, and the safe operation of key microgrid can be guaranteed. At central scheduling layer, EVs can participate in this energy scheduling through connecting the EV aggregator and play the advantages of rapid charge and discharge in the vehicle-to-grid （V2G） regulation to help the system to meet the power balance. Through the comprehensive coordination of the main grid and the EV aggregator, a rapid power support to the microgrid under fault condition can be guaranteed to avoid the whole system collapse in the short term. According to the information obtained from the nested structure layer, microgrids can exchange power with each other to get reliable power supply in the long term. The random programming method is used at central scheduling layer to achieve the entire multi-microgrids integrated power deployment, and enhance the multi-microgrids resilience. The simulation results show that the method proposed in this paper can provide a reliable energy supply to the fault state of microgrid, meet the power balance, reduce the impact of the failure, and

关 键 词：多微电网系统 恢复力 能量管理 预测控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]