【Title】Hierarchical Multi-objective Unit Commitment Optimization Considering Negative Peak Load Regulation Ability

【Abstract】This paper proposed a multi-objective unit commitment model based on a comprehensive consideration of negative peak load regulation ability and operation cost of conventional generators. A hierarchical multi-objective optimization method based on discrete particle swarm optimization and predictor corrector interior point method (DPSO-PCIPM) is proposed. The final commitment solution can be selected from the Pareto front. A widely-used 10 unit system and its extended systems are adopted to evaluate the proposed model and solution method. The simulation results show that the proposed model and solution method is effective and efficient, especially for the large-scale systems.

【Keywords】unit commitment, negative peak load regulation ability, multi-objective optimization, discrete particle swarm optimization, predictor corrector interior point method

【Author】

Hongji XIANG	: School of Electrical Engineering, Southwest Jiaotong University, Chengdu China 610031;
Shengyong YE	: State Grid Sichuan Economic Research Institute, Chengdu China 610041;
Chuan ZHAO	: School of Electrical Engineering, Southwest Jiaotong University, Chengdu China 610031;
Mingliang WU	: School of Electrical Engineering, Southwest Jiaotong University, Chengdu China 610031;
Jie MING	: School of Electrical Engineering, Southwest Jiaotong University, Chengdu China 610031;
Chaohua Dai	: School of Electrical Engineering, Southwest Jiaotong University, Chengdu China 610031;

【来源】2016国际供电会议

【出版时间】Tue Aug 09 08:00:00 CST 2016