A hybrid optimization technique for solving economic dispatch problem

Research output: Contribution to journalConference article

Abstract

Economic dispatch (ED) is one the main power system problems solved during operational planning phase. It is solved by power system engineers with the objective to find the best setting of dispatchable generating units output so that the total production cost is cheap and at the same time abiding the system constraints. For the past ten years, researchers and engineers have been focusing on hybrid optimization techniques to solve ED problems. The strength of each hybridized technique is combined to form an improved optimization technique. Most of the hybrid techniques are combination of two or more meta-heuristic techniques. This paper proposed a new hybrid technique termed as immune evolutionary programming (IEP) to solve economic dispatch problem. The technique is a combination of two population based optimization techniques which are artificial immune system (AIS) and evolutionary programming (EP). In order to study the effectiveness of the proposed technique, the results produced have been compared with the results produced using AIS and EP techniques. It is found that IEP succeeded to give the lowest total production cost compared to the other two techniques.

Original languageEnglish
Article number012035
JournalJournal of Physics: Conference Series
Volume1049
Issue number1
DOIs
Publication statusPublished - 20 Jul 2018
EventInternational PostGraduate Conference on Applied Science and Physics 2017, GRASP 2017 - Johor, Malaysia
Duration: 07 Dec 2017 → …

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programming
economics
immune systems
production costs
optimization
engineers
planning
output

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

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title = "A hybrid optimization technique for solving economic dispatch problem",
abstract = "Economic dispatch (ED) is one the main power system problems solved during operational planning phase. It is solved by power system engineers with the objective to find the best setting of dispatchable generating units output so that the total production cost is cheap and at the same time abiding the system constraints. For the past ten years, researchers and engineers have been focusing on hybrid optimization techniques to solve ED problems. The strength of each hybridized technique is combined to form an improved optimization technique. Most of the hybrid techniques are combination of two or more meta-heuristic techniques. This paper proposed a new hybrid technique termed as immune evolutionary programming (IEP) to solve economic dispatch problem. The technique is a combination of two population based optimization techniques which are artificial immune system (AIS) and evolutionary programming (EP). In order to study the effectiveness of the proposed technique, the results produced have been compared with the results produced using AIS and EP techniques. It is found that IEP succeeded to give the lowest total production cost compared to the other two techniques.",
author = "Mansor, {Mohd Helmi} and {Raja Kechek}, {R. M.S.} and I. Musirin and Rahmat, {Nur Azzammudin} and {Abd. Rahman}, {Muhamad Safwan} and Nurzanariah Roslan and Abdullah, {M. N.} and Shaaya, {Sharifah Azwa} and {Ab Aziz}, {Nur Fadilah}",
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A hybrid optimization technique for solving economic dispatch problem. / Mansor, Mohd Helmi; Raja Kechek, R. M.S.; Musirin, I.; Rahmat, Nur Azzammudin; Abd. Rahman, Muhamad Safwan; Roslan, Nurzanariah; Abdullah, M. N.; Shaaya, Sharifah Azwa; Ab Aziz, Nur Fadilah.

In: Journal of Physics: Conference Series, Vol. 1049, No. 1, 012035, 20.07.2018.

Research output: Contribution to journalConference article

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AU - Mansor, Mohd Helmi

AU - Raja Kechek, R. M.S.

AU - Musirin, I.

AU - Rahmat, Nur Azzammudin

AU - Abd. Rahman, Muhamad Safwan

AU - Roslan, Nurzanariah

AU - Abdullah, M. N.

AU - Shaaya, Sharifah Azwa

AU - Ab Aziz, Nur Fadilah

PY - 2018/7/20

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