主动式配电网中虚拟发电厂的分布式无功优化
Distributed Reactive Power Optimization for Virtual Power Plant in Active Distribution Network
DOI: 10.12677/SG.2017.75047, PDF, HTML, XML, 下载: 1,467  浏览: 4,881  国家自然科学基金支持
作者: 王秀茹*:国网江苏省电力公司宿迁供电公司,江苏 宿迁;喻 洁, 刘莉莉:东南大学电气工程学院,江苏 南京;陈仁思:东南大学自动化学院,江苏 南京
关键词: 虚拟发电厂分布式次梯度算法下垂控制无功优化主动配电网Virtual Power Plant Distributed Subgradient Algorithm Droop Control Reactive Power Optimization Active Distribution Network
摘要: 虚拟发电厂能够有效地整合配电网中的分布式可再生发电资源,是分布式电源大规模接入配电网并实现主动式能量管理的技术方案。为了充分利用分布式电源资源和维持主动配电网的无功平衡,本文基于虚拟发电厂的概念,提出了一种有效的分布式无功优化方法,能够将分散于主动配电网中的可控分布式电源通过先进的通讯手段进行有效整合,然后基于分布式优化的控制策略,最终在实现上级无功调度指令的同时,实现整个虚拟发电厂内部的无功优化。最后,本文给出具体的实例仿真结果,充分验证了文中所提的分布式优化策略的可行性。
Abstract: Virtual power plant exactly provides an effective way for integrating distributed generations in active distribution network, and provides a chance for a great deal of distributed generations to join distribution network. To take full advantage of distributed generations and realize the bal-ance of reactive power flow in distribution network effectively, an effective method based on virtual power plant is proposed for distributed reactive power optimization in this paper. By means of advanced communication, it is possible to effectively incorporate those scattered distributed generations in the active distribution network into an entirety, which has the ability to optimize the distribution of reactive power in virtual power plant and achieve the superior dispatching commands. Finally, a concrete stimulation is given to prove the feasibility of distributed optimization strategy.
文章引用:王秀茹, 喻洁, 陈仁思, 刘莉莉. 主动式配电网中虚拟发电厂的分布式无功优化[J]. 智能电网, 2017, 7(5): 427-434. https://doi.org/10.12677/SG.2017.75047

参考文献

[1] 李琼慧, 黄碧斌, 蒋莉萍. 国内外分布式电源定义及发展现况对比分析[J]. 中国能源, 2012, 34(8): 31-34.
[2] 裴玮, 盛鹍, 孔力, 等. 分布式电源对配网供电电压质量的影响与改善[J]. 中国电机工程学报, 2008, 28(13): 152-157.
[3] 张勇军, 任震, 李邦峰. 电力系统无功优化调度研究综述[J]. 电网技术, 2005, 29(2): 50-56.
[4] 雷金勇, 李战鹰, 卢泽汉, 等. 分布式发电技术及其对电力系统影响研究综述[J]. 南方电网技术, 2011, 5(4): 46-50.
[5] 杨素琴, 罗念华, 韩念杭. 分布式电源并网动态无功优化调度的研究[J]. 电力系统保护与控制, 2013, 41(17): 122-126.
[6] 程杉, 陈民铀, 黄薏宸. 含分布式发电的配电网多目标无功优化策略研究[J]. 电力系统保护与控制, 2013, 41(10): 45-50.
[7] 卫志农, 余爽, 孙国强, 等. 虚拟电厂的概念与发展[J]. 电力系统自动化, 2013, 37(13): 1-9.
[8] Asmus, P. (2010) Microgrids, Virtual Power Plants and Our Distributed Energy Future. The Electricity Journal, 23, 72-82.
https://doi.org/10.1016/j.tej.2010.11.001
[9] Unger, D., Spitalny, L. and Myrzik, J.M.A. (2012) Voltage Control by Small Hydro Power Plants Integrated into a Virtual Power Plant. IEEE Energytech, 1-6.
[10] Khan, H.A., Bargiev, P., et al. (2012) Active and Reactive Power Control of Synchronous Generator for the Realization of a Virtual Power Plant. IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, 1204- 1210.
[11] Lin, P. and Ren, W. (2012) Distributed Subgradient Projection Algorithm for Multi-Agent Optimization with Nonidentical Constraints and Switching Topologies. 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 6813- 6818.
[12] Xu, Y.L., Zhang, W., et al. (2013) Distributed Subgradient-Based Coordination of Multiple Renewable Generators in a Microgrid. IEEE Transactions on Power Systems, 23-33.
[13] Yuan, D.M., Xu, S.Y. and Zhao, H.Y. (2011) Distributed Primal-Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms. IEEE Transactions on Systems, 41, 1715-1724.
[14] Zhang, W., Liu, W.X. and Wang, X. (2014) Distributed Multiple Agent System Based Online Optimal Reactive Power Control for Smart Grids. IEEE Transactions on Smart Grid, 5, 2421-2431.
https://doi.org/10.1109/TSG.2014.2327478
[15] Zhu, M.H. and Martinez, S. (2012) On Distributed Convex Optimization under Inequality and Equality Constraints. IEEE Transactions on Automatic Control, 57, 151-164.
https://doi.org/10.1109/TAC.2011.2167817