基于柔性直流互联的多微网集成聚合运行优化及分析

doi:10.19595/j.cnki.1000-6753.tces.180220

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (3386 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract In order to solve the problem of multi-microgrids integration and aggregation in controlling and operation management, a multi-microgrids flexible DC interconnect scheme and a multi-objective optimization scheduling method were proposed. Firstly, the structure of multi-microgrids flexible DC interconnection and the voltage source converter (VSC) model were introduced. Then, took the minimum voltage fluctuation and the minimum network loss as optimization objectives, a multi-objective optimization model based on flexible DC interconnection was proposed considering the operation constraints of the AC system, the DC system and the VSC. Finally, the multi-objective optimization model was solved by NSGA-II and AC-DC hybrid power flow algorithm to get the Pareto optimal solution set. In view of the Pareto optimal solution set is large, a method based on fuzzy clustering was used to get the final optimal scheduling solution. The simulation results show that the proposed model and algorithm can effectively reduce the voltage fluctuation of multi-microgrids and improve the permeability of renewable energy while ensuring the economic operation of the system.

Key words： Multi-microgrids flexible DC multi-objective optimization NSGA-Ⅱ fuzzy clustering

Received: 12 February 2018 Published: 21 March 2019

PACS:

TM732

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhang Shizhong
	Pei Wei
	Yang Yanhong
	Xiao Hao
	Kong Li

Cite this article:

Zhang Shizhong,Pei Wei,Yang Yanhong等. Optimization and Analysis of Multi-Microgrids Integration and Aggregation Operation Based on Flexible DC Interconnection[J]. Transactions of China Electrotechnical Society, 2019, 34(5): 1025-1037.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180220 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I5/1025

[1] 易永辉, 任志航, 马红伟, 等. 分布式电源高渗透率的微电网快速稳定控制技术研究[J]. 电力系统保护与控制, 2016, 44(20): 31-36.
Yi Yonghui, Ren Zhihang, Ma Hongwei, et al.Study on fast stable control technology of high permeability micro-grid with distributed generation[J]. Power System Protection and Control, 2016, 44(20): 31-36.
[2] 徐从启, 贾桂芝, 李祖贤, 等. 考虑多能量流的光柴储独立微电网协调控制[J]. 电气技术, 2017, 18(4): 61-65.
Xu Congqi, Jia Guizhi, Li Zuxian, et al.Coordination control of isolated microgrid composed of diesel, photovoltaic and battaryconsidering multiple power flow[J]. Electrical Engineering, 2017, 18(4): 61-65.
[3] 陈丽丽, 牟龙华, 刘仲. 光储柴微电网运行特性分析[J]. 电力系统保护与控制, 2015, 43(12): 86-91.
Chen Lili, Mu Longhua, Liu Zhong.Analysis of the operating characteristics of a PV-diesel-BESS microgrid system[J]. Power System Protection and Control, 2015, 43(12): 86-91.
[4] 李建林, 马会萌, 惠东. 储能技术融合分布式可再生能源的现状及发展趋势[J]. 电工技术学报, 2016, 31(14): 1-10.
Li Jianlin, Ma Huimeng, Hui Dong.Present development condition and trends of energy storage technology in the integration of distributed renewable energy[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 1-10.
[5] Zhu Xuan, Han Xiaoqing, Qin Wenping, et al.Past, today and future development of micro-grids in China[J]. Renewable and Sustainable Energy Reviews, 2015, 42: 1453-1463.
[6] Nunna H K H S V S, Doolla S. Multiagent-based distributed-energy-resource management for intelligent microgrids[J]. IEEE Transactions on Industrial Electronics, 2012, 60(4): 1678-1687.
[7] Nguyen D T, Le L B.Risk-constrained profit maximization for microgrid aggregators with demand response[J]. IEEE Transactions on Smart Grid, 2015, 6(1): 135-146.
[8] 江润洲, 邱晓燕, 李丹. 基于多代理的多微网智能配电网动态博弈模型[J]. 电网技术, 2014, 38(12): 3321-3327.
Jiang Runzhou, Qiu Xiaoyan, Li Dan.Multi-agent system based dynamic game model of smart distribution network containing multi-microgrid[J]. Power System Technology, 2014, 38(12): 3321-3327.
[9] 周小平, 陈燕东, 周乐明, 等. 一种微网群架构及其自主协调控制策略[J]. 电工技术学报, 2017, 32(10): 123-134.
Zhou Xiaoping, Chen Yandong, Zhou Leming, et al.A microgrid cluster structure and its autonomous coordination control strategy[J]. Transactions of China Electrotechnical Society, 2017, 32(10): 123-134.
[10] Bidram A, Davoudi A.Hierarchical structure of microgrids control system[J]. IEEE Transactions on Smart Grid, 2012, 3(4): 1963-1976.
[11] 丁明, 马凯, 毕锐. 基于多代理系统的多微网能量协调控制[J]. 电力系统保护与控制, 2013, 41(24): 1-8.
Ding Ming, Ma Kai, Bi Rui.Energy coordination control of multi-microgrid based on multi-agent system[J]. Power System Protection and Control, 2013, 41(24): 1-8.
[12] 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.
Wei Zhinong, Yu Shuang, Sun Guoqiang, et al.Concept and development of virtual power plant[J]. Automation of Electric Power Systems, 2013, 37(13): 1-9.
[13] Arefifar S A, Mohamed Y A R I, EL-Fouly T H M. Comprehensive operational planning framework for self-healing control actions in smart distribution grids[J]. IEEE Transactions on Power Systems, 2013, 28(4): 4192-4200.
[14] 刘念, 李岩松, 张建华, 等. 微电网互联运行的分时优化与实时控制方法[J]. 电工技术学报, 2016, 31(21): 1-11.
Liu Nian, Li Yansong, Zhang Jianhua, et al.Hour-ahead optimization and real-time control method for micro-grid interconnection[J]. Transactions of China Electrotechnical Society, 2016, 31(21): 1-11.
[15] 谢敏, 吉祥, 柯少佳, 等. 基于目标级联分析法的多微网主动配电系统自治优化经济调度[J]. 中国电机工程学报, 2017, 37(17): 4911-4921.
Xie Min, Ji Xiang, Ke Shaojia, et al.Autonomous optimized economic dispatch of active distribution power system with multi-microgrids based on analytical target cascading theory[J]. Proceedings of the CSEE, 2017, 37(17): 4911-4921.
[16] 江润洲, 邱晓燕, 李丹, 等. 含储能系统的多微网智能配电系统经济运行[J]. 电网技术, 2013, 37(12): 3596-3602.
Jiang Runzhou, Qiu Xiaoyan, Li Dan, et al.Economic operation of smart distribution network containing multi microgrids and energy storage system[J]. Power System Technology, 2013, 37(12): 3596-3602.
[17] 赵敏, 陈颖, 沈沉, 等. 微电网群特征分析及示范工程设计[J]. 电网技术, 2015, 39(6): 1469-1476.
Zhao Min, Chen Ying, Shen Chen, et al.Characteristic analysis of multi-microgrids and a pilot project design[J]. Power System Technology, 2015, 39(6): 1469-1476.
[18] Huang A Q, Crow M L, Heydt G T, et al.The future renewable electric energy delivery and management (FREEDM) system: the energy internet[J]. Proceedings of the IEEE, 2011, 99(1): 133-148.
[19] Boroyevich D, Cvetkovic I, Dong D, et al.Future electronic power distribution systems: a contemplative view[C]//2010 12th International Conference on Optimization of Electrical and Electronic Equipment, Basov, 2010: 1369-1380.
[20] Dragicevic T, Guerrero J M, Vasquez J C, et al.Supervisory control of an adaptive-droop regulated dc microgrid with battery management capability[J]. IEEE Transactions on Power Electronics, 2014, 29(2): 695-706.
[21] 郭力, 富晓鹏, 李霞林, 等. 独立交流微网中电池储能与柴油发电机的协调控制[J]. 中国电机工程学报, 2012, 32(25): 70-78.
Guo Li, Fu Xiaopeng, Li Xialin, et al.Coordinated control of battery storage and diesel generators in isolated AC microgrid systems[J]. Proceedings of the CSEE, 2012, 32(25): 70-78.
[22] Beerten J, Cole S, Belmans R.Generalized steady-state VSC MTDC model for sequential AC/DC power flow algorithms[J]. IEEE Transactions on Power Systems, 2012, 27(2): 821-829.
[23] 和敬涵, 李智诚, 王小君. 柔性直流环节对配电网优化运行作用的概率评估[J]. 中国电机工程学报, 2016, 36(2): 342-349.
He Jinghan, Li Zhicheng, Wang Xiaojun.Probabilistic evaluation on the benefits of flexible DC link for distribution network optimal operation[J]. Proceedings of the CSEE, 2016, 36(2): 342-349.
[24] Sayed M A, Takeshita T.All nodes voltage regulation and line loss minimization in loop distribution systems using UPFC[J]. IEEE Transactions on Power Electronics, 2011, 26(6): 1694-1703.
[25] Bloemink J M, Green T C.Increasing distributed generation penetration using soft normally-open points[C]//2010 IEEE Power and Energy Society General Meeting, Minneapolis, 2010:1-8.
[26] Xiao Hao, Pei Wei, Dong Zuomin, et al.Application and comparison of metaheuristic and new metamodel based global optimization methods to the optimal operation of active distribution networks[J]. Energies, 2018, 11(1): 4455-4475.
[27] Deb K, Agrawal S, Pratap A, et al.A fast elitist nondominated sorting genetic algorithm for multiobje- ctive optimization: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
[28] Jeyadevi S, Baskar S, Babulal C K, et al.Solving multi-objective optimal reactive power dispatch using modified NSGA-II[J]. International Journal of Electrical Power & Energy Systems, 2011, 33(2): 219-228.
[29] 马燕峰, 范振亚, 刘伟东, 等. 考虑碳权交易和风荷预测误差随机性的环境经济调度[J]. 电网技术, 2016, 40(2): 412-418.
Ma Yanfeng, Fan Zhenya, Liu Weidong, et al.Environmental and economic dispatch considering carbon trading credit and randomicity of wind power and load forecast error[J]. Power System Technology, 2016, 40(2): 412-418.
[30] 董萍, 徐德良, 刘明波. 多站点无功补偿装置的多目标协调控制[J]. 中国电机工程学报, 2014, 34(4): 587-595.
Dong Ping, Xu Deliang, Liu Mingbo.Multi-objective coordinated control of reactive compensation devices among multiple substations[J]. Proceedings of the CSEE, 2014, 34(4): 587-595.
[31] Agrawal S, Panigrahi B K, Tiwari M K.Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch[J]. IEEE Transactions on Evolutionary Computation, 2008, 12(5): 529-541.
[32] 肖浩, 裴玮, 孔力. 含大规模电动汽车接入的主动配电网多目标优化调度方法[J]. 电工技术学报, 2017, 32(增刊2): 179-189.
Xiao Hao, Pei Wei, Kong Li.Multi-objective optimization scheduling method for active distribution network with large scale electric vehicles[J]. Transactions of China Electrotechnical Society, 2017, 32(S2): 179-189.
[33] 荆朝霞, 王宏益, 江昌旭. 考虑负荷均衡的220 kV电网供电能力多目标优化[J]. 电网技术, 2017, 41(5): 1619-1626.
Jing Zhaoxia, Wang Hongyi, Jiang Changxu.Multi-objective optimization of power supply capability of 220 kV power grid concerning load balance[J]. Power System Technology, 2017, 41(5): 1619-1626.
[34] 金立军, 侯珂, 程逸帆. 基于Pareto支配法的微电网多目标能量优化短时调度策略研究[J]. 电工技术学报, 2016, 31(增刊2): 167-175.
Jin Lijun, Hou Ke, Cheng Yifan.Study on short-term scheduling strategy for multi-objective energy optimization of microgrid based on Pareto domination[J]. Transactions of China Electrotechnical Society, 2016, 31(S2): 167-175.