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Long-term transmission system expansion planning with multi-objective evolutionary algorithm
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DOI：10.1016/j.epsr.2014.09.013.png)
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Abstract
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This article presents a solution framework for the static long-term transmission system expansion planning problem that improves the classical least-cost planning by taking into account the transmission operation flexibility on different generation dispatch scenarios. In the proposed strategy, a multi-objective algorithm is proposed to obtain promising solutions according to the satisfaction of operation scenarios. The solution framework applies the multi-objective evolutionary algorithm SPEA2 to obtain a pool of expansion alternatives with the corresponding relation of cost and operation scenario satisfaction that will serve as a reference for the planner to select the best ones for detailed analysis. (C) 2014 Elsevier B.V. All rights reserved.
Keywords:
Long-term transmission network expansion planning
Multiple generation scenarios
Multi-objective optimisation
Metaheuristics
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