考虑动态网络重构的主动配电网优化运行策略

doi:10.19595/j.cnki.1000-6753.tces.181054

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摘要动态网络重构（DNR）技术可以有效降低配电网的经济运行成本和可再生分布式电源（RDG）的弃风/光率。建立一种考虑DNR的主动配电网优化运行模型,该模型以配电网综合运行成本最低为目标,综合考虑DNR开关、RDG、无功补偿装置等可调资源,在满足配电网运行约束的条件下有效提升配电网的RDG消纳率;提出基于二阶锥松弛及变量乘积线性化的模型转化方法,通过对约束条件中的非凸源进行凸化处理,将原始非凸优化模型转化为一个混合整数二阶锥规划（MISOCP）问题,从而大大降低求解的复杂度;最后采用扩展IEEE 33节点配电网系统进行仿真计算,计算结果证明了所提模型及其转化方法的有效性。

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关键词 ：主动配电网, 可再生分布式电源, 动态网络重构, 混合整数二阶锥规划

Abstract：The dynamic network reconfiguration (DNR) technology can effectively minimize the overall economic operation cost of the distribution network and its curtailment rate of renewable distributed generation (RDG). In this paper, an active distribution network optimization operation model considering DNR was established. Herein, the lowest comprehensive operation cost of distribution network was taken as the goal, and the dispatchable resources were considered such as DNR switches, RDG and reactive power compensation device. The absorption rate of RDG thus could be effectively improved, while the distribution network operation constraints were satisfied. The model transformation method based on the second-order relaxation and variable-product linearization was proposed. Consequently, the non-convex sources in the constraints were transformed into convexity, and the optimization model was transformed into a mixed integer second-order cone programming (MISOCP) problem. Thus, the complexity of solving process was greatly reduced. Finally, the extended IEEE 33-node distribution network was adopted to conduct simulation calculation. The results demonstrate the validity of the proposed model and its transformation method.

Key words： Active distribution network renewable distributed generation dynamic network reconfiguration mixed integer second-order cone programming (MISOCP)

收稿日期: 2018-06-19 出版日期: 2019-09-26

PACS:

TM73

基金资助:国家重点研发计划（2016YFB0900400）、国家自然科学基金（51777088）和国家电网公司总部科技（SGHADK00PJJS1800072）资助项目

通讯作者: 苗世洪男,1963年生,博士,教授,博士生导师,研究方向为电力系统优化调度、电力系统保护与控制。E-mail: shmiao@hust.edu.cn

作者简介: 李超男,1993年生,博士研究生,研究方向为电力系统优化调度。E-mail: lx_lichao47@hust.edu.cn

引用本文:

李超, 苗世洪, 盛万兴, 张迪, 胡世骏. 考虑动态网络重构的主动配电网优化运行策略[J]. 电工技术学报, 2019, 34(18): 3909-3919. Li Chao, Miao Shihong, Sheng Wanxing, Zhang Di, Hu Shijun. Optimization Operation Strategy of Active Distribution Network Considering Dynamic Network Reconfiguration. Transactions of China Electrotechnical Society, 2019, 34(18): 3909-3919.

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[1] 曾博, 杨煦, 张建华. 考虑可再生能源跨区域消纳的主动配电网多目标优化调度[J]. 电工技术学报, 2016, 31(22): 148-158.
Zeng Bo, Yang Xu, Zhang Jianhua.Multi-objective optimization for active distribution network scheduling considering renewable energy harvesting across regions[J]. Transactions of China Electrotechnical Society, 2016, 31(22): 148-158.
[2] 范士雄, 蒲天骄, 刘广一, 等. 主动配电网中分布式发电系统接入技术及其进展[J]. 电工技术学报, 2016, 31(增刊2): 92-101.
Fan Shixiong, Pu Tianjiao, Liu Guangyi, et al.Technologies and its trends of grid integration of distributed generation in active distribution network[J]. Transactions of China Electrotechnical Society, 2016, 31(S2): 92-101.
[3] 许汉平, 李姚旺, 苗世洪, 等. 考虑可再生能源消纳效益的电力系统“源—荷—储”协调互动优化调度策略[J]. 电力系统保护与控制, 2017, 45(17): 18-25.
Xu Hanping, Li Yaowang, Miao Shihong, et al.Optimization dispatch strategy considering renewable energy consumptive benefits based on “source-load- energy storage” coordination in power system[J]. Power System Protection and Control, 2017, 45(17): 18-25.
[4] 姚良忠, 朱凌志, 周明, 等. 高比例可再生能源电力系统的协同优化运行技术展望[J]. 电力系统自动化, 2017, 41(9): 36-43.
Yao Liangzhong, Zhu Lingzhi, Zhou Ming, et al.Prospects of coordination and optimization for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2017, 41(9): 36-43.
[5] 国家发展改革委. 能源发展“十三五”规划[R]. 2016.
[6] 国家发展改革委. 可再生能源发展“十三五”规划[R]. 2016.
[7] 尤毅, 刘东, 钟清, 等. 多时间尺度下基于主动配电网的分布式电源协调控制[J]. 电力系统自动化, 2014, 38(9): 192-198.
You Yi, Liu Dong, Zhong Qing, et al.Multi-time scale coordinated control of distributed generators based on active distribution network[J]. Automation of Electric Power Systems, 2014, 38(9): 192-198.
[8] 张晓雪, 牛焕娜, 赵静翔. 含微电网的配电网优化调度[J]. 电工技术学报, 2017, 32(7): 165-173.
Zhang Xiaoxue, Niu Huanna, Zhao Jingxiang.Optimal dispatch method of distribution network with microgrid[J]. Transactions of China Electrotechnical Society, 2017, 32(7): 165-173.
[9] 符杨, 廖剑波, 李振坤, 等. 考虑越限风险的主动配电网日前优化调度及运行[J]. 中国电机工程学报, 2017, 37(21): 6328-6338.
Fu Yang, Liao Jianbo, Li Zhenkun, et al.Day-ahead optimal scheduling and operating of active distribution network considering violation risk[J]. Proceedings of the CSEE, 2017, 37(21): 6328-6338.
[10] 王健, 谢桦, 孙健. 基于机会约束规划的主动配电网能量优化调度研究[J]. 电力系统保护与控制, 2014, 42(13): 45-52.
Wang Jian, Xie Hua, Sun Jian.Study on energy dispatch strategy of active distribution network using chance-constrained programming[J]. Power System Protection and Control, 2014, 42(13): 45-52.
[11] 国家能源局. 配电网建设改造行动计划(2015—2020年)[R]. 2015.
[12] Koutsoukis N C, Siagkas D O, Georgilakis P S, et al.Online reconfiguration of active distribution networks for maximum integration of distributed generation[J]. IEEE Transactions on Automation Science & Engineering, 2017, 14(2): 437-448.
[13] Rao R S, Ravindra K, Satish K, et al.Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation[J]. IEEE Transactions on Power Systems, 2013, 28(1): 317-325.
[14] Borghetti A.A mixed-integer linear programming approach for the computation of the minimum- losses radial configuration of electrical distribution net- works[J]. IEEE Transactions on Power Systems, 2012, 27(3): 1264-1273.
[15] Taylor J A, Hover F S.Convex models of distribution system reconfiguration[J]. IEEE Transactions on Power Systems, 2012, 27(3): 1407-1413.
[16] Surhone L M, Tennoe M T, Henssonow S F.Second-order cone programming[J]. Mathematical Programming, 2003, 95(1): 3-51.
[17] 刘一兵, 吴文传, 张伯明, 等. 基于混合整数二阶锥规划的主动配电网有功-无功协调多时段优化运行[J]. 中国电机工程学报, 2014, 34(16): 2575-2583.
Liu Yibing, Wu Wenchuan, Zhang Boming, et al.A mixed integer second-order cone programming based active and reactive power coordinated multi-period optimization for active distribution network[J]. Proceedings of the CSEE, 2014, 34(16): 2575-2583.
[18] 马草原, 孙展展, 尹志超, 等. 基于双重混合粒子群算法的配电网重构[J]. 电工技术学报, 2016, 31(11): 120-128.
Ma Caoyuan, Sun Zhanzhan, Yin Zhichao, et al.Reconfiguration of distribution network based on double hybrid particle swarm algorithm[J]. Transactions of China Electrotechnical Society, 2016, 31(11): 120-128.
[19] Romero-Ramos E, Riquelme-Santos J, Reyes J.A simpler and exact mathematical model for the com- putation of the minimal power losses tree[J]. Electric Power Systems Research, 2010, 80(5): 562-571.
[20] Lavorato M, Franco J F, Rider M J, et al.Imposing radiality constraints in distribution system opti- mization problems[J]. IEEE Transactions on Power Systems, 2012, 27(1): 172-180.
[21] Jabr R A, Singh R, Pal B C.Minimum loss network reconfiguration using mixed-integer convex pro- gramming[J]. IEEE Transactions on Power Systems, 2012, 27(2): 1106-1115.
[22] Li Z, Jazebi S, León F D.Determination of the optimal switching frequency for distribution system reconfiguration[J]. IEEE Transactions on Power Delivery, 2017, 32(4): 2060-2069.
[23] Dantas F V, Fitiwi D Z, Santos S F, et al.Dynamic reconfiguration of distribution network systems: a key flexibility option for RES integration[C]//IEEE International Conference on Environment and Elec- trical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe, Milan, Italy, 2017: 1-6.
[24] 李静, 戴文战, 韦巍. 基于混合整数凸规划的含风力发电机组配电网无功补偿优化配置[J]. 电工技术学报, 2016, 31(3): 121-129.
Li Jing, Dai Wenzhan, Wei Wei.A mixed integer convex programming for optimal reactive power compensation in distribution system with wind turbines[J]. Transactions of China Electrotechnical Society, 2016, 31(3): 121-129.
[25] Johan Löfberg.YALMIP[EB/OL]. [2018-08-13].https://yalmip.github.io/.
[26] IBM. IBM ILOG CPLEX[EB/OL]. [2018-08-13]. http://www-01.ibm.com/software/integration/optimi-zation/cplex-optimizer/.
[27] Lei Shunbo, Hou Yunhe, Qiu Feng, et al.Identification of critical switches for integrating renewable distributed generation by dynamic network reconfiguration[J]. IEEE Transactions on Sustainable Energy, 2018, 9(1): 420-432.