Evaluation of available transfer capability using fuzzy multi-objective contingency-constrained optimal power flow |
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Authors: | Tae Kyung Hahn Mun Kyeom Kim Don Hur Jong-Keun Park Yong Tae Yoon |
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Affiliation: | 1. Seoul National University, School of Electrical Engineering & Computer Science, 301Dong 615Ho, Shilim9-dong, Gwanak-gu, Seoul 151-744, Republic of Korea;2. Kwangwoon University, Department of Electrical Engineering, 447-1 Wolgye1-dong, Nowon-gu, Seoul 139-701, Republic of Korea |
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Abstract: | In trying to determine the available transfer capability (ATC), this paper primarily sets out to develop a fuzzy logic approach to parallelizing contingency-constrained optimal power flow (CCOPF). This algorithm may be used by utilities to optimize economy interchange for severe contingencies analyzed without disclosing details of their operating costs to competitors. In fact, the ultimate objective of fuzzy multi-objective CCOPF (FMCCOPF) is to carry out the minimization of both the base case (pre-contingency) operating cost and the post-contingency correction times as conflicting but fuzzy goals. Besides, the Benders decomposition is applied to partition the fuzzy formulation with contingency constraints, which allows for post-contingency corrective rescheduling, motivated by the improvement of computational efficiency using parallel processing. The feasibility of the proposed method is comprehensively realized by a comparison with the conventional optimal power flow (OPF) and the CCOPF with respect to the same array of transactions, base case, and generator/line outages for the IEEE-30 bus system and the IEEE-118 bus system. |
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Keywords: | Available transfer capability Benders decomposition Contingency-constrained optimal power flow Fuzzy logic Multi-objective optimization |
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