tailieunhanh - Controlling voltages and reduction of real power loss in power system by using crossbreed spiral dynamics bacterial chemotaxis algorithm

In this paper a new hybrid optimization algorithm, referred to as Crossbreed spiral dynamics bacterial chemotaxis algorithm (CSDBCA) is proposed to solve the optimal reactive power dispatch (ORPD) Problem. CSDBCA synergizes bacterial foraging algorithm (BFA) chemotaxis approach and spiral dynamics algorithm (SDA) | Journal of Automation and Control Engineering Vol. 3, No. 3, June 2015 Controlling Voltages and Reduction of Real Power Loss in Power System by Using Crossbreed Spiral Dynamics Bacterial Chemotaxis Algorithm K. Lenin and B. Ravindranath Reddy, Jawaharlal Nehru Technological University Kukatpally, Hyderabad 500 085, India Email: gklenin@ evolutionary and heuristic algorithms such as Genetic Algorithm (GA) [2], Differential Evolution (DE) [8] and Particle Swarm Optimization (PSO) [9]. In [10] developed a hybrid optimization algorithm - combining bacterial foraging optimisation algorithm (BFA) with BBO, and referred to it as intellectual biogeography based optimization. In [11] introduced a hybrid description of BFA with differential evolution (DE) algorithm called chemotaxis differential evolution. In [12] introduced a hybrid algorithm BPSO-DE synergizing BFA, particle swarm optimization (PSO), and DE to solve dynamic economic dispatch problem with valvepoints effect. Bacterial. This paper presents hybrid version [13]-[14] of bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA).The proposed Algorithm is tested on IEEE30-bus system for evolution of effectiveness of it. Results obtained from CSDBCA are powerful than other algorithms in solution of ORPD problem. Abstract—In this paper a new hybrid optimization algorithm, referred to as Crossbreed spiral dynamics bacterial chemotaxis algorithm (CSDBCA) is proposed to solve the optimal reactive power dispatch (ORPD) Problem. CSDBCA synergizes bacterial foraging algorithm (BFA) chemotaxis approach and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This crossbreed approach conserves the strengths of BFA and SDA. So the CSDBCA has the capability of producing superior results. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus

• Cơ khí - Chế tạo máy
• Journal of Automation and Control Engineering
• Controlling voltages and reduction
• Real power loss in power system
• Crossbreed spiral dynamics bacterial chemotaxis algorithm
• Spiral dynamics algorithm
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