Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms

Mohamed Ahmed Sadeek; Azza Ahmed El Dessouky; Abd El Hay Ahmed Sallam

doi:doi:10.11648/j.ijepe.20150402.19

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Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms

Mohamed Ahmed Sadeek, Azza Ahmed El Dessouky, Abd El Hay Ahmed Sallam

Received: 4 February 2015 Accepted: 11 March 2015 Published: 21 March 2015

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Abstract

In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Four evolutionary approaches, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor (PSOCFA), particle swarm optimization with inertia weight factor (PSOIWA) and particle swarm optimization with both constriction factor and inertia weight factor (PSOCFIWA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared with those obtained using existing performance testing method. The results show that the particle swarm optimization with improved inertia weight is able to achieve a better solution at less computational time.

DOI	10.11648/j.ijepe.20150402.19
Published in	International Journal of Energy and Power Engineering (Volume 4, Issue 2, April 2015)
Page(s)	84-93
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Combined Heat and Power Economic Dispatch (CHPED), Spinning Reserve, Ramp Rate, Particle Swarm Optimization (PSO)

References

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APA Style

Mohamed Ahmed Sadeek, Azza Ahmed El Dessouky, Abd El Hay Ahmed Sallam. (2015). Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms. International Journal of Energy and Power Engineering, 4(2), 84-93. https://doi.org/10.11648/j.ijepe.20150402.19

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ACS Style

Mohamed Ahmed Sadeek; Azza Ahmed El Dessouky; Abd El Hay Ahmed Sallam. Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms. Int. J. Energy Power Eng. 2015, 4(2), 84-93. doi: 10.11648/j.ijepe.20150402.19

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AMA Style

Mohamed Ahmed Sadeek, Azza Ahmed El Dessouky, Abd El Hay Ahmed Sallam. Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms. Int J Energy Power Eng. 2015;4(2):84-93. doi: 10.11648/j.ijepe.20150402.19

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@article{10.11648/j.ijepe.20150402.19,
  author = {Mohamed Ahmed Sadeek and Azza Ahmed El Dessouky and Abd El Hay Ahmed Sallam},
  title = {Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms},
  journal = {International Journal of Energy and Power Engineering},
  volume = {4},
  number = {2},
  pages = {84-93},
  doi = {10.11648/j.ijepe.20150402.19},
  url = {https://doi.org/10.11648/j.ijepe.20150402.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20150402.19},
  abstract = {In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Four evolutionary approaches, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor (PSOCFA), particle swarm optimization with inertia weight factor (PSOIWA) and particle swarm optimization with both constriction factor and inertia weight factor (PSOCFIWA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared with those obtained using existing performance testing method. The results show that the particle swarm optimization with improved inertia weight is able to achieve a better solution at less computational time.},
 year = {2015}
}

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TY  - JOUR
T1  - Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms
AU  - Mohamed Ahmed Sadeek
AU  - Azza Ahmed El Dessouky
AU  - Abd El Hay Ahmed Sallam
Y1  - 2015/03/21
PY  - 2015
N1  - https://doi.org/10.11648/j.ijepe.20150402.19
DO  - 10.11648/j.ijepe.20150402.19
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 84
EP  - 93
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20150402.19
AB  - In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Four evolutionary approaches, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor (PSOCFA), particle swarm optimization with inertia weight factor (PSOIWA) and particle swarm optimization with both constriction factor and inertia weight factor (PSOCFIWA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared with those obtained using existing performance testing method. The results show that the particle swarm optimization with improved inertia weight is able to achieve a better solution at less computational time.
VL  - 4
IS  - 2
ER  -

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Author Information

Mohamed Ahmed Sadeek

East Delta Electricity Production Company, Ismailia, Egypt
Azza Ahmed El Dessouky

Faculty of engineering, Port-Said University, Port-Said, Egypt
Abd El Hay Ahmed Sallam

Faculty of engineering, Port-Said University, Port-Said, Egypt

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Plain Text BibTeX RIS

APA Style

Mohamed Ahmed Sadeek, Azza Ahmed El Dessouky, Abd El Hay Ahmed Sallam. (2015). Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms. International Journal of Energy and Power Engineering, 4(2), 84-93. https://doi.org/10.11648/j.ijepe.20150402.19

Copy | Download

ACS Style

Mohamed Ahmed Sadeek; Azza Ahmed El Dessouky; Abd El Hay Ahmed Sallam. Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms. Int. J. Energy Power Eng. 2015, 4(2), 84-93. doi: 10.11648/j.ijepe.20150402.19

Copy | Download

AMA Style

Mohamed Ahmed Sadeek, Azza Ahmed El Dessouky, Abd El Hay Ahmed Sallam. Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms. Int J Energy Power Eng. 2015;4(2):84-93. doi: 10.11648/j.ijepe.20150402.19

Copy | Download

@article{10.11648/j.ijepe.20150402.19,
  author = {Mohamed Ahmed Sadeek and Azza Ahmed El Dessouky and Abd El Hay Ahmed Sallam},
  title = {Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms},
  journal = {International Journal of Energy and Power Engineering},
  volume = {4},
  number = {2},
  pages = {84-93},
  doi = {10.11648/j.ijepe.20150402.19},
  url = {https://doi.org/10.11648/j.ijepe.20150402.19},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20150402.19},
  abstract = {In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Four evolutionary approaches, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor (PSOCFA), particle swarm optimization with inertia weight factor (PSOIWA) and particle swarm optimization with both constriction factor and inertia weight factor (PSOCFIWA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared with those obtained using existing performance testing method. The results show that the particle swarm optimization with improved inertia weight is able to achieve a better solution at less computational time.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Dynamic Economic Dispatch for Combined Heat and Power Units using Particle Swarm Algorithms
AU  - Mohamed Ahmed Sadeek
AU  - Azza Ahmed El Dessouky
AU  - Abd El Hay Ahmed Sallam
Y1  - 2015/03/21
PY  - 2015
N1  - https://doi.org/10.11648/j.ijepe.20150402.19
DO  - 10.11648/j.ijepe.20150402.19
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 84
EP  - 93
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20150402.19
AB  - In this paper, combined heat and power units are incorporated in dynamic economic dispatch to minimize total production costs considering realistic constraints such as ramp rate and spinning reserve limits effects over a short time span. Four evolutionary approaches, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor (PSOCFA), particle swarm optimization with inertia weight factor (PSOIWA) and particle swarm optimization with both constriction factor and inertia weight factor (PSOCFIWA) are successfully implemented to solve the combined heat and power economic dispatch (CHPED) problem. These approaches have been tested on 12-generation units system with two steam, four gas and six cogeneration units. In addition, the performance tests are applied to measure the actual power output and the fuel consumption in every point tests for achieving different curves such as input/output, incremental heat rate and heat rate curves for the twelve units. The results of the four approaches are compared with those obtained using existing performance testing method. The results show that the particle swarm optimization with improved inertia weight is able to achieve a better solution at less computational time.
VL  - 4
IS  - 2
ER  -

Copy | Download