Optimization of the Economic Dispatch Problem by Considering the Emission Dispatch with Using the AMPSO

Optimization of the Economic Dispatch Problem by Considering the Emission Dispatch with Using the AMPSO

Mehdi Neyestani* Maliheh Maghfoori Farsangi

Department of Electrical Engineering, Esfarayen University of Technology, Esfarayen, North Khorasan 98195, Iran

Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman 98195, Iran

Corresponding Author Email: 
M.Neyestani@esfarayen.ac.ir
Page: 
60-71
|
DOI: 
https://doi.org/10.18280/ama_c.730205
Received: 
20 March 2018
|
Accepted: 
16 May 2018
|
Published: 
30 June 2018
| Citation

OPEN ACCESS

Abstract: 

In this paper, the problem of economic dispatch (ED), which is a problem with a nonlinear cost function, is solved using the proposed method. The ED problem, in addition to having a nonlinear function, also has a series of equal and unequal constraints that must be respected. Another important consideration when generating energy by power plants is, in addition to the cost, the issue of polluting the environment. In other words, in order to provide the power needed by consumers, in this issue two goals, reducing production costs and reducing the amount of emission, can be raised. This article covers all of the above issues. In this paper, an ultra-innovative algorithm is proposed to solve the problem. The proposed algorithm is based on the Particle Swarm Optimization algorithm. The proposed method is implemented on the systems under study with different conditions and the results obtained by AMPSO method are evaluated by other methods such as SA, NSGA-II and NSGA-III. The results show that the AMPSO produces optimal or nearly optimal solutions for the study systems.

Keywords: 

economic dispatch, emission dispatch, multi-objective, Particle Swarm optimization

1. Introduction
2. Formulation of the Problem
3. PSO, MPSO and AMPSO Algorithms
4. Systems Studied and Simulated
5. Conclusion
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