Optimization Of Combined Economic and Emission Dispatch Problem – A Comparative Study for 30 Bus Systems

Kumar, Ram

doi:10.9790/1676-0263743

Cited by 10 publications

(1 citation statement)

References 6 publications

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“…Nonetheless, the increasing demand leads the utilities to establish more power plants. One of the feasible choices is the fossil-fuel based power plant due to the abundance of natural resources and lower cost of operation compared to the renewable alternatives [12]. Unfortunately, the byproduct of fossil-fuels consumptions sunch as sulphur oxides (SO X ), nitrogen oxides (NO X ), and carbon oxides (CO X ) are hazardous [13].…”

Section: Introductionmentioning

confidence: 99%

Solving Fuzzy Combined Economic Load–Emission Dispatch by Using Differential Evolution Immunized Ant Colony Optimization Technique

Rahmat

Musirin

Abidin

2015

AMM

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The fluctuating load demand with respect to time requires thorough analysis by the energy providers. Nowadays, the utilities need to include emission control during energy dispatch planning. The practically accurate economic dispatch solution is achieved by considering it as a dynamic or time-varying problem. Therefore, this research proposes Fuzzy Combined Economic Load-Emission Dispatch (Fz-CELED) to solve dynamic economic dispatch problem. Fuzzy Logic is used to predict the future load demand and fuel pricing. Moreover, this paper proposed the Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique to optimize Fz-CELED problem. The research was conducted on IEEE 57-Bus Systems. Comparative studies are also conducted among DEIANT, ACO and EP to assess their performance.

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Section: Introductionmentioning

confidence: 99%