Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic emission dispatch

2013 ◽  
Author(s):  
N. A. Rahmat ◽  
I. Musirin ◽  
A. F. Abidin
Keyword(s):  
Differential Evolution ◽  
Ant Colony Optimization ◽  
Ant Colony ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

Solving Emission Dispatch Problem with Multiple Fuel Option by Using Differential Evolution Immunized Ant Colony Optimization Technique

2015 ◽  
Vol 793 ◽  
pp. 462-466
Author(s):  
Nur Azzammudin Rahmat ◽  
Ismail Musirin ◽  
Ahmad Farid Abidin ◽  
Mohd Redzuan Ahmad
Keyword(s):  
Differential Evolution ◽  
Ant Colony Optimization ◽  
Optimization Technique ◽  
Operating Cost ◽  
Ant Colony ◽  
Emission Level ◽  
Load Demand ◽  
Generation Level ◽  
Emission Regulation ◽  
Emission Dispatch

Emission dispatching is conducted to calculate the lowest amount of emission while generating satisfying output to the load demand. The utilities are restricted by emission regulation that limits the emission level to a certain amount. This paper proposes emission dispatch with multiple fuel option (EDMFO) to determine the optimal emission level. The EDMFO allows the operators to select different type of fuel according to the generation level and requirement. The emission dispatch problem is optimized by using Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique. Validation process is conducted by comparing DEIANT with several optimization approaches including ACO and EP. The comparison took places in IEE 57-Bus RTS. Results indicate that DEIANT is superior in terms of calculating the lowest emission level, lower operating cost and the best selection of fuel according to the generation requirement.

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

2015 ◽  
Vol 785 ◽  
pp. 500-505
Author(s):  
Nur Azzammudin Rahmat ◽  
Ismail Musirin ◽  
Ahmad Farid Abidin
Keyword(s):  
Fuzzy Logic ◽  
Differential Evolution ◽  
Ant Colony Optimization ◽  
Optimization Technique ◽  
Economic Dispatch ◽  
Ant Colony ◽  
Time Varying ◽  
Load Demand ◽  
Dynamic Economic Dispatch ◽  
Emission Dispatch

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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