A hybrid of real coded genetic algorithm and artificial fish swarm algorithm for short-term optimal hydrothermal scheduling

• Published in: International journal of electrical power & energy systems Vol. 62; pp. 617 - 629
• Main Authors: Fang, Na, Zhou, Jianzhong, Zhang, Rui, Liu, Yi, Zhang, Yongchuan
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.11.2014; Elsevier
• Subjects: Algorithms; Applied sciences; Artificial fish swarm algorithm; Constraints handling; Electrical engineering. Electrical power engineering; Exact sciences and technology; Fish; Genetic algorithms; Mathematical models; Optimization; Real coded genetic algorithm; Scheduling; Searching; Self-propagating synthesis; Short-term hydrothermal scheduling; Constraints handling; Artificial fish swarm algorithm; Real coded genetic algorithm; Short-term hydrothermal scheduling; Short term; Performance evaluation; Costs; Optimization method; Scheduling; Nonlinear problems; Water flow; Penalty function; Computation time; Genetic algorithm; Optimal solution; Inequality constraint; Equality constraint; System simulation; Feasibility; Delay time; Optimal planning; Effectiveness factor; Comparative study

•We present a SHS model to analyze the operation of hydrothermal power system.•Transmission losses, ramp rate limits and prohibited discharge zones are considered.•We propose a hybrid algorithm combining RCGA with AFSA.•We present the coarse and fine adjustment methods to deal with the constraints.•...