Abstract:An economic analysis method and optimal design model of the PV microgrids for industries are proposed in this paper. The economic indexes to evaluate the economic performance of the microgrids include levelized energy cost, emission reduction benefits and payback period. The optimal model considering local solar insolation level and detailed investment costs is established and applied to obtain the optimal configuration of the PV microgrids for four different operation strategies by Particle Swarm Optimization(PSO) method. The simulation results based on three months running data of a 500kW PV microgrid for industries in Guangdong, China, show that the optimal design by the proposed method can meet the technical indicators as well as the economic optimum, and thus effectively optimizing the microgrid with PVs for industries in both economic and environmental way. In addition, the proposed battery tank can not only be used to maximize the utilization of renewable energy, but also enhance the system’s ability of peak load shifting. Besides, the sensitivity of the impact of different parameters and different installed sites on the system is also performed. The results provide a reference for the application of similar projects and basis for the decision-makers of the microgrid with PVs for industries.
茆美琴, 金鹏, 张榴晨, 丁勇, 徐海波. 工业用光伏微网运行策略优化与经济性分析[J]. 电工技术学报, 2014, 29(2): 35-45.
Mao Meiqin, Jin Peng, Zhang Liuchen, Ding Yong, Xu Haibo. Optimization of Operation Strategies and Economic Analysis of PV Microgrids for Industries. Transactions of China Electrotechnical Society, 2014, 29(2): 35-45.
[1] EPIA(European Photovoltaic Industrial Association). Global market outlook for photovoltaics 2013-2017 [R]. 2013: 5. [2] 赵争鸣, 雷一, 贺凡波, 等. 大容量并网光伏电站技术综述[J]. 电力系统自动化, 2011, 35(12): 101-107. Zhao Zhengming, Lei Yi, He Fanbo, et al. Overview of large-scale grid-connected photovoltaic power plants[J]. Automation of Electric Power Systems, 2011, 35(12): 101-107. [3] Lin Chia Hung, Hsieh Wei Lin, Chen Chao Shun, et al. Financial analysis of a large-scale photovoltaic system and its impact on distribution feeders[J]. IEEE Transactions on Industry Applications, 2011, 47(4): 1884-1891. [4] 鲁宗相, 王彩霞, 闵勇, 等. 微电网研究综述[J]. 电力系统自动化, 2007, 31(19): 100-107. Lu Zongxiang, Wang Caixia, Min Yong, et al. Overview on microgrid research[J]. Automation of Electric Power Systems, 2007, 31(19): 100-107. [5] 陈征, 肖湘宁, 路欣怡, 等. 含光伏发电系统的电动汽车充电站多目标容量优化配置方法[J]. 电工技术学报, 2013, 28(6): 238-248. Chen Zheng, Xiao Xiangning, Lu Xinyi, et al. Multi-objective optimization for capacity configura- tion of pv-based electric vehicle charging stations[J]. Transactions of China Electrotechnical Society, 2013, 28(6): 238-248. [6] 肖湘宁, 陈征, 刘念. 可再生能源与电动汽车充放电设施在微电网中的集成模式与关键问题[J]. 电工技术学报, 2013, 28(2): 1-14. Xiao Xiangning, Chen Zheng, Liu Nian. Integrated mode and key issues of renewable energy sources and electric vehicles’ charging and discharging facilities in microgrid[J]. Transactions of China Electrote- chnical Society, 2013, 28(2): 1-14. [7] 许丹, 丁强, 潘毅, 等. 基于经济调度的微电网蓄电池容量优化[J]. 电力系统保护与控制, 2011, 39(17): 55-59. Xu Dan, Ding Qiang, Pan Yi, et al. Study on optimizing capacity of storage battery in microgrid system based on economic dispatch[J]. Power System Protection and Control, 2011, 39(17): 55-59. [8] 李登峰, 谢开贵, 胡博, 等. 基于净效益最大化的微电网电源优化配置[J]. 电力系统保护与控制, 2013, 41(20): 20-26. Li Dengfeng, Xie Kaigui, Hu Bo, et al. Optimal configuration of microgrid power supply based on maximizing net benefits[J]. Power System Protection and Control, 2013, 41(20): 20-26. [9] 梁惠施, 程林, 苏剑. 微网的成本效益分析[J]. 中国电机工程学报, 2011, 31(S1): 38-44. Liang Huishi, Cheng Lin, Su Jian. Cost benefit analysis for microgrid[J]. Proceedings of the CSEE, 2011, 31(S1): 38-44. [10] 李鹏, 张玲, 王伟, 等. 微网技术应用与分析[J]. 电力系统自动化, 2009, 33(20): 109-115. Li Peng, Zhang Ling, Wang Wei, et al. Application and analysisi of microgrid[J]. Automation of Electric Power Systems, 2009, 33(20): 109-115. [11] Agalgaonkar A P, Kulkarni S V, Khaparde S A. Evaluation of configuration plans for dgs in developing countries using advanced planning techniques[J]. IEEE Transactions on Power Systems, 2006, 21(2): 973-981. [12] Cucchiella F, Adamo I D, Gastaldi M, et al. A photovoltaic system in a residential building: environmental and economic optimization analysis[C]. SCMIS2010, Hong Kong, 2010: 1-9. [13] Min ho Suh, Kang Hoe Kim, Young Kwon. Economic analysis of Korean photovoltaic power generation project[C]. ICIDT2012, Jeju Island Korea, 2012: 340-343. [14] Chen Changsong, Duan Shanxu, Cai Tao, et al. Optimal design and economic analysis of energy storage system in microgrids[J]. IEEE Transactions on Power Electronics, 2011, 26(10): 2762-2773. [15] Kolhe M. Techno-economic optimum sizing of a stand-alone solar photovoltaic system[J]. IEEE Tran- sactions on Energy Conversion, 2009, 24(2): 511-519. [16] In Su Bae, Jin O Kim. Reliability evaluation of customers in a microgrid[J]. IEEE Transactions on Power Systems, 2008, 23(3): 1416-1422. [17] Ren Hongbo, Gao Weijun, Ruan Yingjun. Economic optimization and sensitivity analysis of photovoltaic system in residential buildings[J]. Renewable Energy, 2009, 34(3): 883-889. [18] Ying Yi Hong, Ruo Chen Lian. Optimal sizing of hybrid wind/pv/diesel generation in a stand-alone power system using markov-based genetic algorithm [J]. IEEE Transactions on Power Delivery, 2012, 27(2): 640-647. [19] Lee Tsung Ying. Operating schedule of battery energy storage system in a time-of-use rate industrial user with wind turbine generators: a multipass iteration particle swarm optimization approach[J]. IEEE Transactions on Energy Conversion, 2007, 22(3): 774-782. [20] Kornelakis A, Koutroulis E. Methodology for the design optimisation and the economic analysis of grid-connected photovoltaic systems[J]. IET Renewable Power Generation, 2009, 3(4): 476-492. [21] Faisal A Mohamed, Heikki N Koivo. Online management of microgrid with battery storage using multi—objective optimization[C]. Powereng, Setubal, Portugal, 2007: 12-14. [22] Manwell J F, Rogers A, Hayman G, et al. Hybrid2 - a hybrid system simulation model theory manual[J]. University of Massachusetts, 2006: 121-131. [23] 季美红. 基于粒子群算法的微电网多目标经济调度模型研究[D]. 合肥: 合肥工业大学, 2010. [24] Mao Meiqin, Zhao Yongchao, Sun Shujuan, et al. Quantitative analysis on economic impacts of installation at different sites on microgrids with multi-energy[C]. PEDG2012, Aalborg, 2012: 668-673.