| 基于分布式牛顿法的微电网群分布式优化调度方法 |
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| 引用本文： | 陈刚,杨毅,杨晓梅,王中冠,吴文传. 基于分布式牛顿法的微电网群分布式优化调度方法[J]. 电力系统自动化, 2017, 41(21): 156-162 |
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| 作者姓名： | 陈刚 杨毅 杨晓梅 王中冠 吴文传 |
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| 作者单位： | 国网江苏省电力公司, 江苏省南京市 210024,国网江苏省电力公司电力科学研究院, 江苏省南京市 211103,国网江苏省电力公司, 江苏省南京市 210024,清华大学电机工程与应用电子技术系, 北京市100084; 电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084,清华大学电机工程与应用电子技术系, 北京市100084; 电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 |
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| 基金项目： | 国家自然科学基金资助项目(61602251)；国家电网公司科技项目(J2016015) |
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| 摘 要： | 多个微电网以自组织的方式连接成为自治实体并接入配电网运行,能够显著提高供电可靠性并降低运行成本。提出了一种针对微电网群优化运行的全分布式算法,旨在替代传统集中协调的方式,解决系统对灵活性、可靠性和经济性的要求。该方法基于点对点通信,只需要稀疏通信网络上的相邻节点交换信息,且通信负担很轻。首先介绍了微电网群优化模型,随后结合具有二阶收敛速度的分布式牛顿法和基于一致算法的信息传递,实现了微电网群运行成本的全分布式运行优化。算例结果表明,该方法具有相较一阶分布式算法更快的收敛速度,且受通信拓扑的影响更小,证明了该方法的可靠性和可扩展性。
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| 关 键 词： | 微电网(微网)；分布式优化；牛顿法；一致算法 |
| 收稿时间： | 2017-03-13 |
| 修稿时间： | 2017-08-19 |
Distributed Optimization Scheduling Method for Microgrid Cluster Based on Distributed Newton Method |
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| CHEN Gang,YANG Yi,YANG Xiaomei,WANG Zhongguan and WU Wenchuan. Distributed Optimization Scheduling Method for Microgrid Cluster Based on Distributed Newton Method[J]. Automation of Electric Power Systems, 2017, 41(21): 156-162 |
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| Authors: | CHEN Gang YANG Yi YANG Xiaomei WANG Zhongguan WU Wenchuan |
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| Affiliation: | State Grid Jiangsu Electric Power Company, Nanjing 210024, China,State Grid Jiangsu Electric Power Research Institute, Nanjing 211103, China,State Grid Jiangsu Electric Power Company, Nanjing 210024, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China and Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China |
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| Abstract: | Integrated together in a self-organized manner, a cluster of microgrids can be connected to the active distribution grid as an autonomous entity, which significantly enhances reliability and reduces operation cost. This paper presents a fully distributed method for optimal operation of microgrid clusters without central coordination. Based on peer-to-peer communication, microgrids need only exchange information between neighbors over a sparse communication network and hence the very light communication burden. By combining the Newton-type second-order algorithm and a consensus-based information exchange, the method can achieve minimum operation cost through a few iterations. Simulation results indicate that the method has faster convergence rate than a first-order algorithm. Besides, the influences of communication networks are also discussed in numerical tests to show the method is reliable, scalable and flexible over centralized schemes. |
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| Keywords: | microgrid distributed optimization Newton method consensus algorithm |
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