UNIT COMMITMENT WITH SECURITY ASSESSMENT USING CHAOTIC PSO ALGORITHM

被引:10
作者
Gaing, Zwe-Lee [1 ]
Lin, Gai-Neng [2 ]
机构
[1] Kao Yuan Univ, Dept Elect Engn, Kaohsiung 821, Taiwan
[2] Feng Chia Univ, Dept Accounting, Taichung 40724, Taiwan
关键词
Unit commitment; particle swarm optimization; chaotic map; security constraint; economic dispatch; PARTICLE SWARM OPTIMIZATION;
D O I
10.1142/S021812661100792X
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes solving short-term unit commitment (UC) problems with security constraints by hybrid chaotic particle swarm optimization (CPSO). The objective of security-constrained UC (SC-UC) is to minimize the total generation cost, which is the sum of both transition cost and production cost of the scheduled combination units. The proposed CPSO method, which involves the chaotic map and the chaotic turbulence, can avoid premature convergence of PSO and escape local minima. Moreover, the proposed hybrid CPSO method has the ability of solving both the continuous and the discrete optimal programming problems. Two power systems are demonstrated for verifying the feasibility and effectiveness of the proposed method in solving SC-UC problems with constraints of a nonlinear generator and operation security assessment taken into consideration. The simulation results show that the proposed CPSO-based SC-UC method is indeed capable of obtaining efficiently high-quality UC solutions and enhancing the system security of UC operation.
引用
收藏
页码:1357 / 1376
页数:20
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