Dynamic Economic Dispatch Problems: PSO Approach

• Published in: Telkomnika Vol. 15; no. 1; p. 48
• Main Authors: Ab Ghani, Mohd Ruddin, Hussein, Saif Tahseen, Mohd Amin, Nur Huda, Jano, Zanariah, Sutikno, Tole
• Format: Journal Article
• Language: English
• Published: Yogyakarta Ahmad Dahlan University 01.03.2017
• Subjects: Economics; Emissions control; Genetic algorithms; Mathematical analysis; Particle swarm optimization; Power dispatch; Power plants; Quadratic programming
• ISSN: 1693-6930; 2302-9293
• DOI: 10.12928/telkomnika.v15i1.4618

[...]optimization plays a key role in the thermal generation problem. Clearly, an optimal solution obtained by period by period approach is inferior to the optimal solution obtained by considering all the periods together. [...]there is a need to solve DED problem as a complete optimization problem. At present, DED problems are solved using both gradient based (like, sequential quadratic programming) and stochastic methods (like Genetic Algorithm and Particle Swarm Optimization) [5-9]. In order to find a solution to the bid-based dynamic economic dispatch in the context of a competitive electricity market, Zhao [11] utilized PSO with constriction factor and inertia weight. Among the topics discussed in this paper are generation bid quantities; power balance; ramp rate limits; customer bid quantities; line limit, and emission as equality and inequality constraints in the optimization process. [...]a hybrid method involving PSO with sequential quadratic programming (SQP) is used to solve a DED problem. In this paper, PSO (Particle Swarm Optimization) method is used to solve large dimensional economic dispatch problems. Because of its simplicity in solving the practical ED problem, population-based PSO has been recognized as the fast growing solution algorithm. The number of units generated by different power plants is the design variables that need to be determined, and typical objective function of the optimization problem is to minimize the overall cost of producing the number of demanded units. The ramp rate is defined based on practical considerations such as load and mechanical stresses on the generator. [...]it takes a finite time...