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Research Paper | Electrical Engineering | India | Volume 3 Issue 6, June 2014
Emission Minimization with Artificial Bee Colony Algorithm Incorporating Distributed Generation Sources
Venkatesha G | R D Satyanarayana Rao
Abstract: This paper presents fuel cost and an emission minimization economic dispatch problem to examine effects Distributed generation sources like wind power and solar power on emission control in thermal power plant. The unsystematic nature of wind power is characterized by weibull probability distribution function to solve the probabilistic wind thermal economic emission dispatch problem. Maximum and minimum of wind power and an irradiance of solar power data for a particular day in each season can be described as a bimodal distribution function are considered in this work. A powerful method Artificial Bee Colony (ABC) algorithm is used to minimize the fuel cost and emission function and implemented in Matlab program. The effectiveness of ABC algorithm is verified by the result found on Standard IEEE six thermal units; and 30 bus systems. The optimized generation allocation; fuel cost; and emission reduction is obtained from proposed algorithm. For validating the effectiveness of ABC algorithm an economic emission dispatch problem is solved with and without considering wind and solar power. Finally results are comparing with particle swarm optimization (PSO) technique; from the result of comparison found that ABC method is more superior.
Keywords: emission, wind, solar, ABC, PSO, weibull probability distribution function
Edition: Volume 3 Issue 6, June 2014,
Pages: 2314 - 2320