计及主动配电网转供能力的可再生电源双层优化规划

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (3142 KB)
输出: BibTeX | EndNote (RIS)

摘要在主动管理(AM)模式下,提出了一种考虑主动配电网转供能力的可再生电源(RES)优化配置模型。以年综合费最小为上层目标,每个场景的配电网运行费最小为下层目标,该模型计及了系统故障负荷的转供和包括RES出力切除、RES功率因数调整、有载调压变压器分接头调节和需求侧管理在内的4种AM措施。考虑RES出力随机性及负荷波动性,利用准蒙特卡罗模拟和奇异值分解生成风、光荷相关性样本矩阵并采用模糊C-means聚类对场景进行缩减。应用动态小生境差分进化与原对偶内点算法相联合的策略对模型加以求解。通过算例对比是否考虑AM措施和转供能力下的三种情境仿真结果验证了模型和方法的有效。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	刘佳
	徐谦
	程浩忠
	兰洲
	田园

关键词 ：主动配电网, 可再生电源, 双层优化规划, 主动管理, 转供能力

Abstract：Under the active management(AM)mode,an optimal Renewable Energy Sources(RES)allocation model is proposed.The model takes the minimum annual total cost and the minimum scenario-based distribution network operation cost as the objectives of upper and lower level,respectively.The power transfer of system fault load and four AM schemes are considered in the optimization formulation.The AM schemes including RES output power resection,RES power factor adjustment,on-load regulating transformer tap adjustment and in-side management measures.Given the randomness of RES output power and load fluctuation,the correlation between wind and light load sample matrix is generated by quasi Monte Carlo simulation and singular value decomposition and then simplified by fuzzy C-means clustering.A hybrid strategy combining dynamic niche differential evolution algorithm and primal-dual interior point method is applied to the model.The compared simulation results demonstrate the effectiveness of the proposed model and method.

Key words： Active distribution network renewable energy sources bi-level optimal programming active management power transfer capability

收稿日期: 2016-05-10 出版日期: 2017-05-12

PACS:

TM715

基金资助:国家重点研发计划(2016YFB0900102)和国家电网公司科技项目(5211JY16004)资助

通讯作者: 刘佳男,1991年生,博士研究生,研究方向为电力系统优化、规划、运行。E-mail:liujia911011@126.com

作者简介: 徐谦男,1963年生,硕士,高级工程师,研究方向为电力系统规划和运行。E-mail:xuqian1963@sina.com

引用本文:

刘佳, 徐谦, 程浩忠, 兰洲, 田园. 计及主动配电网转供能力的可再生电源双层优化规划[J]. 电工技术学报, 2017, 32(9): 179-188. Liu Jia, Xu Qian, Cheng Haozhong, Lan Zhou, Tian Yuan. Bi-Level Optimal Renewable Energy Sources Planning Considering Active Distribution Network Power Transfer Capability. Transactions of China Electrotechnical Society, 2017, 32(9): 179-188.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I9/179

[1] 张建华,曾博,张玉莹,等.主动配电网规划关键问题与研究展望[J].电工技术学报,2014,29(2):13-23.
Zhang Jianhua,Zeng Bo,Zhang Yuying,et al.Key issues and research prospects of active distribution network planning[J].Transactions of China Electrotechnical Society,2014,29(2):13-23.
[2] Li Yujuan,Wang Fanrong.Implementation of smart grid software system based on configurable feeder terminal unit[C]//2012 IEEE Symposium on Electrical & Electronics Engineering,2012:277-280.
[3] De Groot R J W,Morren J,Slootweg J G.Smart integration of distribution automation applications[C]//2012 3rd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies,2012:1-7.
[4] 廖怀庆,刘东,黄玉辉,等.考虑新能源发电与储能装置接入的智能电网转供能力分析[J].中国电机工程学报,2012,32(16):9-16.
Liao Huaiqing,Liu Dong,Huang Yuhui,et al.Smart grid power transfer capability analysis considering integrated renewable energy resources and energy storage systems[J].Proceedings of the CSEE,2012,32(16):9-16.
[5] 马静,马伟,王增平.基于联络关系的主变故障负荷转供方案[J].电力系统保护与控制,2014,42(19):1-7.
Ma Jing,Ma Wei,Wang Zengping.Power restoration scheme for main transformer fault based on the interconnection relationship[J].Power System Protection and Control,2014,42(19):1-7.
[6] Martins V F,Borges C L T.Active distribution network integrated planning incorporating distributed generation and load response uncertainties[J].IEEE Transactions on Power Systems,2011,26(4):2164-2172.
[7] Zhao Yuanyuan,An Yiran,Ai Qian.Research on size and location of distributed generation with vulnerable node identification in the active distribution network[J].IET Generation,Transmission & Distribution,2014,8(11):1801-1809.
[8] Abapour S,Zare K,Mohammadi-Ivatloo B.Dynamic planning of distributed generation units in active distribution network[J].IET Generation,Transmission & Distribution,2015,9(12):1455-1463.
[9] Siano P,Chen P,Chen Z,et al.Evaluating maximum wind energy exploitation in active distribution networks[J].IET Generation,Transmission & Distribution,2010,4(5):598-608.
[10] Zhang Jietan,Fan Hong,Tang Wenting,et al.Planning for distributed wind generation under active management mode[J].International Journal of Electrical Power & Energy Systems,2013,47(6):140-146.
[11] 马瑞,金艳,刘鸣春.基于机会约束规划的主动配电网分布式风光双层优化配置[J].电工技术学报,2016,31(3):145-154.
Ma Rui,Jin Yan,Liu Mingchun.Bi-level optimal configuration of distributed wind and photovoltaic generations in active distribution network based on chance constrained programming[J].Transactions of China Electrotechnical Society,2016,31(3):145-154.
[12] 邓威,李欣然,李培强,等.基于互补性的间歇性分布式电源在配网中的优化配置[J].电工技术学报,2013,28(6):216-225.
Deng Wei,Li Xinran,Li Peiqiang,et al.Optimal allocation of intermittent distributed generation considering complementarity in distributed network[J].Transactions of China Electrotechnical Society,2013,28(6):216-225.
[13] Zhang Shenxi,Cheng Haozhong,Zhang Libo,et al.Probabilistic evaluation of available load supply capability for distribution system[J].IEEE Transactions on Power Systems,2013,28(3):3215-3225.
[14] Xiao J,Gu W,Wang C,et al.Distribution system security region:definition,model and security assessment[J].IET Generation,Transmission & Distribution,2012,6(10):1029-1035.
[15] Xiao Jun,Zu Guoqiang,Gong Xiaoxu,et al.Model and topological characteristics of power distribution system security region[J].Journal of Applied Mathematics,2014(6):1-13.
[16] Singhee A,Rutenbar R.Why quasi-Monte Carlo is better than Monte Carlo or Latin hypercube sampling for statistical circuit analysis[J].IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems,2010,29(11):1763-1776.
[17] Iman R L,Conover W J.A distribution-free approach to inducing rank correlation among input variables[J].Communications in Statistics-Simulation and Computation,1982,11(3):311-334.
[18] 李赢,舒乃秋.基于模糊聚类和完全二叉树支持向量机的变压器故障诊断[J].电工技术学报,2016,31(4):64-70.
Li Ying,Shu Naiqiu.Transformer fault diagnosis based on fuzzy clustering and complete binary tree support vector machine[J].Transactions of China Electrotechnical Society,2016,31(4):64-70.
[19] Murata R,Endo Y,Haruyama H,et al.On fuzzy C-means for data with tolerance[J].Advanced Computational Intelligence and Intelligent Informatics,2006,10(5):673-681.
[20] 藤春贤,李智慧.二层规划的理论与应用[M].北京:科学出版社,2002.
[21] Storn R,Price K.Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces[J].Journal of Global Optimization,1997,11(4):341-359.
[22] 卢扬,吴俊勇,郝亮亮.基于改进MOBPSO算法的含分布式电源的多目标配电网重构[J].电力系统保护与控制,2016,44(7):62-68.
Lu Yang,Wu Junyong,Hao Liangliang.Multi-objective distribution network reconfiguration with distributed generations based on improved MOBPSO algorithm[J].Power System Protection and Control,2016,44(7):62-68.
[23] Della Cioppa A,De Stefano C,Marcelli A.Where are the niches? Dynamic fitness sharing[J].IEEE Transactions on Evolutionary Computation,2007,11(4):453-465.