计及负荷与储能装置协调优化的微网可靠性评估

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (690 KB) HTML (0 KB)
Export: BibTeX | EndNote (RIS)

Abstract For microgrids, coordinative optimization of loads and storage devices is an important approach that promotes the utilization of renewable energy and economic operation. However, the optimization directly changes the customers’ consumption habits and the operation status of storage devices, and affects the reliability of microgrids. This paper establishes optimization models for loads and storages, which are integrated into the reliability evaluation of microgrids by a sequential Monte Carlo method.The integration realizes the consideration of the coordinative optimizationin reliability evaluation of microgrids.Besides, new reliability indices are defined to quantify the impacts of the optimization on the reliability of customers, storage devices and microgrids. Extensive results indicate the effectiveness and accuracy of the presented models and methods. With consideration of the load and storage optimization, the results are of significance to make microgrid operation plans andimprove the reliability and economy of microgrids.

Key words： Microgrids reliability evaluation reliability indices coordinative optimization of loads and storage devices sequential Monte Carlo simulation

Received: 10 December 2013 Published: 18 June 2014

PACS:

TM715

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Bie Zhaohong
	Li Gengfeng
	Xie Haipeng

Cite this article:

Bie Zhaohong,Li Gengfeng,Xie Haipeng. Reliability Evaluation of Microgrids Considering Coordinative Optimization of Loads and Storage Devices[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 64-73.

URL:

http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I2/64

[1] Lasseter R H, Akhil A, Marnay C, et al. Integration of distributed energy resources[J]. The CERTS Microgrid Concept, 2002.
[2] Lasseter R H, Paigi P. Microgrid: a conceptual solution[C]. 2004 IEEE 35th Annual Power Electronics Specialists Conference, PESC 04, 2004, 6: 4285-4290.
[3] 别朝红, 李更丰, 王锡凡. 含微网的新型配电系统可靠性评估综述[J]. 电力自动化设备, 2011, 31(1): 1-6.
BieZhaohong, Li Gengfeng, Wang Xifan. Review on reliability evaluation of new distribution system with micro-grid[J]. Electric Power Automation Equipment, 2011, 31(1): 1-6.
[4] 陈昌松. 光伏微网的发电预测与能量管理技术研究[D]. 武汉: 华中科技大学, 2011.
[5] 张颖媛. 微网系统的运行优化与能量管理研究[D]. 合肥: 合肥工业大学, 2011.
[6] 陈昌松, 段善旭, 蔡涛, 等. 基于改进遗传算法的微网能量管理模型[J]. 电工技术学报, 2013, 28(4): 196-201.
Chen Changsong, DuanShanxu, Cai Tao, et al. Microgrid energy management model based on improved genetic arithmetic[J]. Transactions of China Electrotechnical Society, 2013, 28(4): 196-201.
[7] 刘天琪, 江东林. 基于储能单元运行方式优化的微电网经济运行[J]. 电网技术, 2012, 36(1): 45-50.
Liu Tianqi, Jiang Donglin. Economic operation of microgrid based on operation mode optimization of energy storage unit[J]. Power System Technology, 2012, 36(1): 45-50.
[8] 周念成, 邓浩, 王强钢, 等. 光伏与微型燃气轮机混合微网能量管理研究[J]. 电工技术学报, 2012, 27(1): 74-84.
Zhou Niancheng, Deng Hao, Wang Qianggang, et al. Energy management strategy of PV and micro-turbine hybrid micro-grid[J]. Transactions of China Electrotechnical Society, 2012, 27(1): 74-84.
[9] Bie Zhaohong, Zhang Peng, Li Gengfeng, et al. Reliability evaluation of active distribution system including microgrids[J]. IEEE Transactions on Power Systems, 2012, 27(4): 2342-2350.
[10] 罗奕, 王钢, 汪隆君. 微网可靠性评估指标研究[J]. 电力系统自动化, 2013, 37(5): 9-14.
Luo Yi, Wang Gang, Wang Longjun. Reliability evaluation indices for microgrids[J]. Automation of Electric Power Systems, 2013, 37(5): 9-14.
[11] 梁惠施, 程林, 刘思革. 基于蒙特卡罗模拟的含微网配电网可靠性评估[J]. 电网技术, 2011, 35(10): 76-81.
Liang Huishi, Cheng Lin, Liu Sige. Monte Carlo simulation based reliability evaluation of distribution system containing microgrids[J]. Power System Technology, 2011, 35(10): 76-81.
[12] 朱博, 陈民铀, 徐瑞林, 等. 孤岛模式下的微网优化运行策略[J]. 电力系统保护与控制, 2012, 40(17): 35-40.
Zhu Bo, Chen Minyou, Xu Ruilin, et al. An optimal operation strategy of islanded microgrid[J]. Power System Protection and Control, 2012, 40(17): 35-40.
[13] http: //www. nrel. gov/rredc/pvwatts/[OL].
[14] Marion B, Urban K. Users manual for TMY2s: typical meteorological years derived from the 1961-1990 national solar radiation data base[M]. National Renewable Energy Laboratory, Golden, CO(United States), 1995.
[15] 施琳, 罗毅, 涂光瑜, 等. 考虑风电场可调度性的储能容量配置方法[J]. 电工技术学报, 2013, 28(5): 120-127, 134.
Shi Lin, Luo Yi, Tu Guangyu, et al. Energy storage sizing method considering dispatchability of wind farm[J]. Transactions of China Electrotechnical Society, 2013, 28(5): 120-127, 134.
[16] http: //www. lindo. com/[OL].
[17] Billinton R, Jonnavithula S. A test system for teaching overall power system reliability assessment [J]. IEEE Transaction on Power Systems, 1996, 11(4): 1670-1676.
[18] Subcommittee P M. IEEE reliability test system[J]. IEEE Transactions on Power Apparatus and Systems, 1979(6): 2047-2054.
[19] A Deoras. Electricity Load and Price Forecasting Webinar Case Study”, May 06, 2011[OL]. Available: http: //www.mathworks.com/matlabcentral/ fileexchange/ 28684-electricity-load-and-price-forecasting-webinar-case-study.