### Abstract

The main objective to solve an emission constrained economic dispatch (ECED) problem is to simultaneously minimize the total cost of generation and the total emission level; whereby the latter is equated in terms of as emission cost. The conventional method (CM) by using the Lagrange Multiplier has some limitations such as lack of flexibility and accuracy due to the need of simplification of the problem before solving it and the solution generated may not be the best since it may be limited to local minima instead of global minima. The paper presents the solutions for ECED problem by using two stochastic optimisers; the Genetic Algorithm (GA) and Particle Swarm Optimizer (PSO). The results demonstrate the efficiency and effectiveness of using GA and PSO to solve the ECED problem compared to CM.

Original language | English |
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Title of host publication | Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013 |

Pages | 93-99 |

Number of pages | 7 |

DOIs | |

Publication status | Published - 12 Jul 2013 |

Event | 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013 - Phuket, Thailand Duration: 10 Apr 2013 → 12 Apr 2013 |

### Publication series

Name | Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013 |
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### Other

Other | 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013 |
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Country | Thailand |

City | Phuket |

Period | 10/04/13 → 12/04/13 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Energy Engineering and Power Technology
- Fuel Technology

### Cite this

*Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013*(pp. 93-99). (Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013). https://doi.org/10.2316/P.2013.800-019

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*Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013.*Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013, pp. 93-99, 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013, Phuket, Thailand, 10/04/13. https://doi.org/10.2316/P.2013.800-019

**Emission constrained economic dispatch by using stochastic optimisers.** / Muhamad Razali, Noor Miza; Teh, Yu Ye.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Emission constrained economic dispatch by using stochastic optimisers

AU - Muhamad Razali, Noor Miza

AU - Teh, Yu Ye

PY - 2013/7/12

Y1 - 2013/7/12

N2 - The main objective to solve an emission constrained economic dispatch (ECED) problem is to simultaneously minimize the total cost of generation and the total emission level; whereby the latter is equated in terms of as emission cost. The conventional method (CM) by using the Lagrange Multiplier has some limitations such as lack of flexibility and accuracy due to the need of simplification of the problem before solving it and the solution generated may not be the best since it may be limited to local minima instead of global minima. The paper presents the solutions for ECED problem by using two stochastic optimisers; the Genetic Algorithm (GA) and Particle Swarm Optimizer (PSO). The results demonstrate the efficiency and effectiveness of using GA and PSO to solve the ECED problem compared to CM.

AB - The main objective to solve an emission constrained economic dispatch (ECED) problem is to simultaneously minimize the total cost of generation and the total emission level; whereby the latter is equated in terms of as emission cost. The conventional method (CM) by using the Lagrange Multiplier has some limitations such as lack of flexibility and accuracy due to the need of simplification of the problem before solving it and the solution generated may not be the best since it may be limited to local minima instead of global minima. The paper presents the solutions for ECED problem by using two stochastic optimisers; the Genetic Algorithm (GA) and Particle Swarm Optimizer (PSO). The results demonstrate the efficiency and effectiveness of using GA and PSO to solve the ECED problem compared to CM.

UR - http://www.scopus.com/inward/record.url?scp=84879854029&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879854029&partnerID=8YFLogxK

U2 - 10.2316/P.2013.800-019

DO - 10.2316/P.2013.800-019

M3 - Conference contribution

SN - 9780889869455

T3 - Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013

SP - 93

EP - 99

BT - Proceedings of the 6th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2013

ER -