Article ID Journal Published Year Pages File Type
704855 Electric Power Systems Research 2013 12 Pages PDF
Abstract

•A multi-period multiobjective generation expansion planning model is presented.•The model simultaneously optimizes three objectives: costs, emission, and reliability.•A probabilistic approach is implemented to evaluate the system reliability.•A MNBI method is proposed to solve the multiobjective problem.

A Multi-period Multi-objective Generation Expansion Planning (MMGEP) model incorporating sustainable energy sources is presented in this paper. The proposed model simultaneously optimizes three objectives: costs as well as environmental impact minimization, and reliability maximization. The optimization model decides the optimal size, time and technology types of the generating units through a multistage planning horizon. An analytical probabilistic approach is proposed to evaluate the system reliability of long-term planning period. In this paper, in order to identify Pareto optimal solutions of the MMGEP problem, a Corrected Normal Boundary Intersection (CNBI) method is implemented. A lexicographic optimization method is employed to improve the performance of the NBI method. A synthetic test system including seven types of candidate units is considered for MMGEP in a 6-year planning horizon. The results of CNBI method are compared with those of the classical weighted sum and ordinary NBI methods.

Related Topics
Physical Sciences and Engineering Energy Energy Engineering and Power Technology
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