← Back to VOLUME 2, ISSUE 10, OCTOBER 2014
This work is licensed under a Creative Commons Attribution 4.0 International License.
Optimal Dispatch through Deterministic Dual Objective Particle Swarm Optimization
π 1 viewπ₯ 0 downloads
Abstract: The operation of generating units to generate energy at reduced cost to reliably serve consumers, recognizing any operational restrictions of generation and transmission facilities is called as Economic Dispatch(ED).In the present paper, an evolutionary modified Deterministic Particle Swarm Optimization (DPSO) is applied for Environmental and Economic Power Dispatch (EED) problem to find fast and efficient solutions for IEEE 14 and 30 bus systems. In such a way, proposed algorithms reduce the total expenditure task of the generating units and improve the computational efficiency. The feasibility of the proposed DPSO based algorithm is demonstrated for two power system test cases consisting of IEEE 14 bus 3-generator system and 30 bus 6-generator system. The results obtained are compared to previous PSO, GA.
Keywords: Economic Dispatch, Deterministic Particle Swarm Optimization, Operational Limits, Power System
Keywords: Economic Dispatch, Deterministic Particle Swarm Optimization, Operational Limits, Power System
How to Cite:
[1] A.T. RAJADURAI, N.R.NAHARAJ, DR.A.SOUNDARRAJAN, βOptimal Dispatch through Deterministic Dual Objective Particle Swarm Optimization,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2014.0210008
