کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
704855 | 1460911 | 2013 | 12 صفحه PDF | دانلود رایگان |

• 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.
Journal: Electric Power Systems Research - Volume 102, September 2013, Pages 8–19