A Study on Fuzzy Branch and Bound-Based Transmission System Expansion Planning for the Highest Satisfaction Levels of the Decision Maker
트란 트룽 틴
Graduate School, Gyeongsang National University
Department of Electrical Engineering
Fuzzy Branch Transmission Expansion Planning;
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aThe primary function of an electric power system is to provide electrical energy to its customers as economically as possible and with an acceptable degree of continuity and quality. Modern society, because of its pattern of social and working habits, has come to expect the supply to be continuously available on demand. Network planning is an important part of power system planning. Its task is to determine an optimal network configuration according to load growth and a generation planning scheme for the planning period so as to meet the requirement of delivering electricity safety and economically. This study proposes a new method for choice of the best transmission system expansion plan on the side of the highest satisfaction level of decision maker using fuzzy integer programming. The proposed method considers the permissibility and ambiguity of the investment budget (economics) for constructing the new transmission lines and the delivery marginal rate (reliability criterion) of the system by modeling the transmission expansion problem as a fuzzy integer programming one. It solves for the optimal strategy (reasonable as well as flexible) using a fuzzy set theory-based branch and bound method that utilizes a network flow approach and the maximum flow-minimum cut set theorem. Under no or only a very small database for the evaluation of probabilistic reliability indices, the proposed technique provides the decision maker with a valuable and practical tool to solve the transmission expansion problem considering problem uncertainties in overall viewpoint. Test results on an existing 63-bus system shows that the proposed method is nearly practical system and efficiently applicable to transmission expansion planning.