Abstract:As the development of energy market and the interest for new energy recourses such as wind energy and solar energy, energy management system of distributed generation (DG) becomes significant for the stability and economic operation of the DG system. This paper introduces a basic structure of DG system and illustrates the principle of power forecasting using neutral network. Finally a novel energy management system of DG is proposed to realize the economic operation. The proposed system determines the operation mode according to the forecasted output power and the state of the battery. The fuzzy control is adopted to control the power flow for the sake of the optimization of operation costs.
陈昌松, 段善旭, 殷进军, 蔡涛. 基于发电预测的分布式发电能量管理系统[J]. 电工技术学报, 2010, 25(3): 150-156.
Chen Changsong, Duan Shanxu, Yin Jinjun, Cai Tao. Energy Management System of Distributed Generation Based on Power Forecasting. Transactions of China Electrotechnical Society, 2010, 25(3): 150-156.
[1] Vovos P N, Kiprakis A E, Wallace A R, et al. Centralized and distributed voltage control: impact on distributed generation penetration[J]. IEEE Transactions on Power Systems, 2007, 22(1): 476-483. [2] Katiraei F, Iravani M R. Power management strategies for a microgrid with multiple distributed generation units[J]. IEEE Transactions on Power Systems, 2006, 21(4): 1821-1831. [3] Gil H A, Joos G. Customer-owned back-up generators for energy management by distribution utilities[J]. IEEE Transactions on Power Systems, 2007, 22(3): 1044-1050. [4] Hiscock N , Hazel T G, Hiscock J. Voltage regulation at sites with distributed generation[J]. IEEE Transactions on Industry Applications, 2008, 44(2): 445-454. [5] Jewell W T, Unruh T D. Limits on cloud-induced fluctuation in photovoltaic generation[J]. IEEE Transactions on Energy Conversion, 1999, 5(1): 8-14. [6] Mellit A, Arab A H, Khorissi N, et al. An ANFIS-based forecasting for solar radiation data from sunshine duration and ambient temperature[C]. IEEE Power Engineering Society General Meeting, 2007. [7] Sera D, Teodorescu R, Hantschel J, et al. Optimized maximum power point tracker for fast-changing environmental conditions[J]. IEEE Transactions on Industrial Electronics, 2008, 55(7): 2629-2637. [8] Kem E C, Culachenski E M, Ken G A. Cloud effects on distributed photovoltaic generation: slow transients at the gardner, massachusetts photovoltaic experiment[J]. IEEE Transactions on Energy Conversion, 1989, 4(2): 184-190. [9] Chakraborty S, Weiss M D, Simoes M G. Distributed intelligent energy management system for a single-phase high-frequency AC microgrid[J]. IEEE Transactions on Industrial Electronics, 2007, 54(1): 97-109. [10] Favuzza S, Graditi G, Ippolito M G T, et al. Optimal electrical distribution systems reinforcement planning using gas micro turbines by dynamic ant colony search algorithm[J]. IEEE Transactions on Power Systems, 2007, 22(2): 580-587. [11] Tsikalakis A G, Hatziargyriou Nikos D. Centralized control for optimizing microgrids operation[J]. IEEE Transactions on Energy Conversion, 2008, 23(1): 241-248. [12] Yudong T, Hongkun S, Funian H, et al. Investigation on TOU pricing principles[C]. 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific Dalian, China, 2005.