基于分布式电源重要度的微电网支撑能力评价指标体系研究
Research on Evaluation Index System of Microgrid Support Capability Based on Importance of Distributed Power
摘要: 近年来,由台风,地震等自然灾害引起的大规模电网停电事故频发。考虑到微电网中的可控源和负荷具有灵活的功率控制能力,可以支持电网电压和功率。因此,本文提出了一个新的想法:使用微电网通过协调有功和无功来支持安全电网。首先,研究了各种可控源负载的有功和无功功率特性及其对系统电压的影响。其次,通过考虑微电网的功率支撑能力和支撑时间,建立容量支撑能力评价指标;第三,提出了基于有功和无功协调的微电网规划思想,提出了提高微电网支撑能力的微电网规划方法。第四,建立微电网优化模型。考虑电压,潮流和功率输出的约束,利用粒子群算法实现微电网可控源和负荷的最优规划。最后,通过数值算例验证了所提出的微电网规划方法的有效性。
Abstract: In recent years, large-scale blackouts in power grid caused by natural disasters such as typhoons and earthquakes have occurred frequently. Considering the controllable source and load in the micro-grid have flexible power control capability, which can support the grid voltage and power. So this paper proposes a new idea: using the micro-grid to support secure power grid by coordinating active and reactive power. Firstly, it studies the active and reactive power characteristics of various controllable source loads and their influence on the system voltage; secondly, establishing the evaluation index of capacity support capability, by considering the power support capability and support time of the micro-grid to the guaranteed power grid; thirdly, proposing the micro-grid planning idea based on active and reactive power coordination, and the micro-grid planning method for improving the micro-grid support capacity; fourthly, establishing the micro-grid optimization model. Considering the constraints of voltage, power flow and power output, realizing the optimal planning of controllable source and load in the micro-grid by using XX algorithm. Finally, a numerical case is given to verify the effectiveness of the proposed micro-grid planning method.
文章引用:杨翔宇, 熊小伏, 李新. 基于分布式电源重要度的微电网支撑能力评价指标体系研究[J]. 智能电网, 2020, 10(1): 11-20. https://doi.org/10.12677/SG.2020.101002

参考文献

[1] 郇嘉嘉, 韦斌, 隋宇, 等. 一种城市防风抗灾保底电网的多目标规划方法[J]. 电网技术, 2018(3): 927-932.
[2] 董飞飞, 刘涤尘, 吴军, 等. 基于改进BBO优化算法和电网生存性的核心骨干网架构建[J]. 中国电机工程学报, 2014, 34(16): 2659-2667.
[3] Li, J., Ma, X.Y., Liu, C.C., et al. (2014) Distribution System Restoration with Microgrids Using Spanning Tree Search. IEEE Transactions on Power Systems, 29, 3021-3029.
[Google Scholar] [CrossRef
[4] 唐忠, 田晨, 资容涛. 多微电网互联系统的储能容量配置[J]. 电测与仪表, 2017, 56(4): 98-111.
[5] 杨新法, 苏剑, 吕志鹏, 等. 微电网技术综述[J]. 中国电机工程学报, 2014, 34(1): 57-70.
[6] Bahramirad, S., Reder, W. and Khodaei, A. (2012) Reliability-Constrained Optimal Sizing of Energy Storage System in a Microgrid. IEEE Transactions on Smart Grid, 3, 2056-2062.
[Google Scholar] [CrossRef
[7] 殷桂梁, 李相男, 郭磊, 等. 混合储能系统在风光互补微电网中的应用[J]. 电力系统及其自动化学报, 2015, 27(1): 49-53.
[8] 谭兴国, 王辉, 张黎, 等. 微电网复合储能多目标优化配置方法及评价指标[J]. 电力系统自动化, 2014, 38(8): 7-14.
[9] 杨昆, 周晓健, 夏能弘, 等. 考虑微电网接入下的配电网优化规划[J]. 电测与仪表, 2019, 56(2): 58-64 + 75.
[10] Jiaoyang L, Li G, Shuqiang Y, et al. (2018) Optimal Sizing for Multi PV-ESS Microgrids in Distribution Network. Power System Technology.
[11] Zeng, Z., Zhao, R. and Yang, H. (2013) Micro-Sources Design of an Intelligent Building Integrated with Micro-Grid. Energy and Buildings, 57, 261-267.
[Google Scholar] [CrossRef
[12] 王蓓蓓, 赵盛楠, 刘小聪, 等. 面向可再生能源消纳的智能用电关键技术分析与思考[J]. 电网技术, 2016, 40(12): 295-304.
[13] 王瑞琪, 李珂, 张承慧. 基于混沌多目标遗传算法的微网系统容量优化[J]. 电力系统保护与控制, 2011, 39(22): 16-22.
[14] Zhou, Y. and Li, H. (2014) Analysis and Suppression of Leakage Current in Cascaded-Multilevel-Inverter-Based PV Systems. IEEE Transactions on Power Electronics, 29, 5265-5277.
[Google Scholar] [CrossRef
[15] 刘万琨. 风能与风力发电技术[M]. 北京: 化学工业出版社, 2006.
[16] 焦立新. 评价指标标准化处理方法的探讨[J]. 安徽科技学院学报, 1999, 13(3): 7-10.
[17] 胡晓通, 刘天琪, 何川, 等. 计及蓄电池损耗特性的微网多目标优化运行[J]. 中国电机工程学报, 2016, 36(10): 2674-2681.
[18] 胡林静, 刘凯, 杨明文. 基于粒子群遗传算法的光伏MPPT控制研究[J]. 电测与仪表, 2019, 56(14): 23-27.
[19] 刘娇扬, 郭力, 杨书强, 等. 配电网中多光储微网系统的优化配置方法[J]. 电网技术, 2018, 42(9): 2806-2815.
[20] 徐林, 阮新波, 张步涵, 等. 风光蓄互补发电系统容量的改进优化配置方法[J]. 中国电机工程学报, 2012, 32(25): 88-98.