確率的供給信頼度を考慮したMOMAによる多目的送電系統拡充計画

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This paper proposes a new method for transmission network expansion planning (TNEP) with Multi-objective Memetic Algorithm (MOMA) in consideration of a probabilistic reliability index. Recently, power networks increase the degree of the uncertainties due to the new environment of power network liberations, the emergences of renewable energy, etc. As a result, the importance of improving power supply reliability with probabilistic approaches has been recognized in power system operation and planning. This paper formulates TNEP as a multi-objective optimization problem that optimizes a probabilistic reliability index as well as the construction cost to obtain a set of the Pareto solutions in Monte Carlo Simulation (MCS). This paper proposes a new method for TNEP with MOMA that combines Multi-objective meta-heuristics (MOMH) with Tabu Search (TS) to obtain better solution sets. MOMH is useful for evaluating a set of the Pareto solutions systematically while TS plays a key role to improve the solution quality. The effectiveness of the proposed method is successfully demonstrated in the IEEE 24-bus system.