DocumentCode :
3467124
Title :
Multi-objective transmission network expansion planning in consideration of wind farms
Author :
Mori, Hiroyuki ; Kakuta, Hiroki
Author_Institution :
Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki, Japan
fYear :
2011
fDate :
5-7 Dec. 2011
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, a new method for transmission network expansion planning (TNEP) with Multi-objective Memetic Algorithm (MOMA) is proposed. In resent year, the new environment under the power network liberalization and intermittent generation brings about uncertainties in power system operation and planning. It is of main concern to deal with variable output of renewable energy. This paper formulates TNEP with wind farms as a multi-objective optimization problem that optimizes probabilistic reliability index as well as the construction so that a set of the Pareto solutions is obtained through 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. The effectiveness of the proposed method is successfully demonstrated in the IEEE 24-bus system with wind farms.
Keywords :
Monte Carlo methods; power transmission planning; power transmission reliability; wind power plants; MOMA; Monte Carlo simulation; Pareto solutions; expansion planning; multiobjective memetic algorithm; multiobjective metaheuristics; multiobjective transmission network; power network liberalization; probabilistic reliability index; renewable energy; wind farms; Correlation; Indexes; Probabilistic logic; Reliability; Sampling methods; Uncertainty; Wind farms; Memetic Algorithm; Monte Carlo Simulation; Multi-objective Meta-heuristics; Multi-objective Optimization; Probabilistic Reliability Index; Transmission Network Expansion Planning; Wind Farms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2011 2nd IEEE PES International Conference and Exhibition on
Conference_Location :
Manchester
ISSN :
2165-4816
Print_ISBN :
978-1-4577-1422-1
Electronic_ISBN :
2165-4816
Type :
conf
DOI :
10.1109/ISGTEurope.2011.6162676
Filename :
6162676
Link To Document :
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