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Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study

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Optimization of Power System Problems

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 262))

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Abstract

In this chapter, the application of multi-objective imperialist competitive algorithm is investigated for solving economic and emission dispatch problem. It is aimed to minimize two conflicting objectives, economic and environmental, while satisfying the problem constraints. In addition, nonlinear characteristics of generators such as prohibited zone and ramp up/down limits are considered. To check applicability of the MOICA, it is applied to 12 h of IEEE 30-bus test system. Then, results of MOICA are compared with those derived by non-dominated sorting genetic algorithm and multi-objective particle swarm optimizer. The finding indicates that MOICA exhibits better performance.

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Abbreviations

C(PG):

Total cost of power generation

E(PG):

Total emission

PLoss:

Total network loss

Pi:

Power generated at ith unit

PL,i:

Power flow of ith line

PD:

Total load demand

P0i:

Output power of ith unit in previous dispatch interval

ai, bi, ci, ei, fi:

Fuel cost coefficients of ith unit

\(\alpha_{i} ,\beta_{i} ,\gamma_{i} ,\xi_{i} ,\lambda_{i}\) :

Emission coefficients of ith unit

URi/DRi:

Up-ramp/down-ramp limits of ith unit

f i :

ith objective function

U(.):

Uniform distribution function

ng:

Number of units

nL:

Number of transmission lines

nObj:

Number of objective functions

npop:

Number of population

\(X \preccurlyeq y\) :

x weakly dominates y

\(x \prec y\) :

x strictly dominates y

References

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Author information

Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Soheil Dolatabadi & Saeid Ghassem Zadeh

Authors
  1. Soheil Dolatabadi
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  2. Saeid Ghassem Zadeh
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Corresponding author

Correspondence to Soheil Dolatabadi .

Editor information

Editors and Affiliations

  1. Postdoctoral Fellow of Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Mahmoud Pesaran Hajiabbas

  2. Associate Professor of Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-Ivatloo

MATLAB Codes

MATLAB Codes

Genetic algorithm script and function.

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MATLAB Code for Imperialist Competitive Algorithm

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Cost calculation function:

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Main MATLAB script code for multi objective particle swarm optimization

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MATLAB Script and function codes for Non-Sorted Genetic Algorithm II (NSAG II):

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Dolatabadi, S., Ghassem Zadeh, S. (2020). Multi-objective Economic and Emission Dispatch Using MOICA: A Competitive Study. In: Pesaran Hajiabbas, M., Mohammadi-Ivatloo, B. (eds) Optimization of Power System Problems . Studies in Systems, Decision and Control, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-34050-6_12

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  • DOI: https://doi.org/10.1007/978-3-030-34050-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34049-0

  • Online ISBN: 978-3-030-34050-6

  • eBook Packages: EngineeringEngineering (R0)

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