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Experimental Validation for Dynamic Fuzzy-Controlled Energy Storage System to Maximize Renewable Energy Integration

Jianhui Wong and Yun Seng Lim
Universiti Tunku Abdul Rahman, Sungai Long Campus, Kajang, Selangor, Malaysia
Abstract—Energy storage systems are expected to play a significant role in providing ancillary services for future power systems due to its recent technologies improvement. Increased penetration from grid-connected renewable energy sources is expected to have significant growth. However, power curtailment is the usual approach imposed by the utility company to ensure the power quality works within the tolerance. In this paper, Park’s transformation is proposed to analyze and assess network performance by using near-real time data acquisition to identify the most crucial phase due high degree of voltage unbalanced factor caused by the large penetration of single-phase PV systems. A novel fuzzy logic controller for the three single-phase energy storage system (ESS) is used to manipulating the power flows in response to the voltage deviations from the nominal voltage and power balance between generation and demand. Results have demonstrated that the ESS driven by the fuzzy logic controller has effectively maintains the network voltage unbalance factor (VUF) within the tolerance statutory limit. By ensuring the power quality works within the tolerance statutory limit can eliminate the energy curtailment, hence maximize the renewable energy (RE) integration. 
 
Index Terms—fuzzy logic control, distribution network, energy storage system, photovoltaic system

Cite: Jianhui Wong and Yun Seng Lim, "Experimental Validation for Dynamic Fuzzy-Controlled Energy Storage System to Maximize Renewable Energy Integration," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 7, No. 3, pp. 83-89, July 2018. Doi: 10.18178/ijeetc.7.3.83-89
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