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| Capacity Optimization of Wind/PV/Storage Hybrid Power Generation Customer under Time-of-Use Pricing Policy and Heuristic Operational Strategies |
| Weng Guiping1, Pan Xia2, Shao Zhenguo1 |
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116;
2. State Grid Electric Power Co., Ltd, Fujian Ningde Power Company, Ningde, Fujian 352000 |
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Abstract In order to optimize the capacity of wind/PV/storage hybrid power generation customer of residential rooftop, a configuration method of capacity under Time-of-Use pricing policy and heuristic operational strategies is proposed in this paper. It first builds the mathematical model for optimization objective function and constraint function. Secondly, it uses particle swarm optimization algorithm to optimize the capacity of different kinds of power sources within the wind/PV/storage hybrid power generation customer of residential rooftop in unified and time-of-use pricing policy. Finally, it uses the meteorological data of NASA's meteorological sites and the residential load data of HOMER to verify the validity of the method.
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Published: 19 May 2016
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| Cite this article: |
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Weng Guiping,Pan Xia,Shao Zhenguo. Capacity Optimization of Wind/PV/Storage Hybrid Power Generation Customer under Time-of-Use Pricing Policy and Heuristic Operational Strategies[J]. Electrical Engineering, 2016, 17(5): 1-6.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2016/V17/I5/1
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[1] Borowy B S, Salameh Z M. Methodology for optimally sizing the combination of a battery bank and PV array in a Wind/PV hybrid system[J]. IEEE Transactions on Energy Conversion, 1996, 11(2): 367- 373.
[2] 何春光. 超级电容器储能装置仿真建模及其应用研究[D]. 长沙: 湖南大学, 2013.
[3] Habib M A, Said S, El-Hadidy M A, et al. Optimization procedure of a hybrid photovoltaic wind energy system[J]. Energy, 1999, 24(11): 919-929.
[4] 王波. 储能系统的优化建模与控制策略研究[D]. 合肥: 合肥工业大学, 2013.
[5] 江全元, 石庆均, 李兴鹏, 等. 风光储独立供电系统电源优化配置[J]. 电力自动化设备, 2013, 33(7): 19-26.
[6] Menniti D, Pinnarelli A, Sorrentino N. A method to improve microgrid reliability by optimal sizing PV/Wind plants and storage systems[C]//The 20th International Conference on Exhibition on Electricity Distribution, 2009: 8-11.
[7] 丁明, 王波, 赵波, 等. 独立风光柴储微网系统容量优化配置[J]. 电网技术, 2013, 37(3): 575-581.
[8] 丁明, 张颖媛, 茆美琴, 等. 包含钠硫电池储能的微网系统经济运行优化[J]. 中国电机工程学报, 2011, 31(4): 7-14.
[9] 唐贤伦, 张衡, 李进, 等. 基于多Agent粒子群优化算法的电力系统经济负荷分配[J]. 电力系统保护与控制, 2012, 40(10): 42-47.
[10] 袁晓辉, 王乘, 张勇传, 等. 粒子群优化算法在电力系统中的应用[J]. 电网技术, 2004, 28(19): 14-19.
[11] 刘艳平. 风光储混合发电系统容量优化及协调控制方法[D]. 济南: 山东大学, 2014. |
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2016, Vol. 17 
