Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost
Economic load dispatch (ELD) is an important optimization problem for operating and controlling modern power systems, and if ELD is effectively executed, power systems work stably and economically. The main objective of this paper is to develop a novel method to solve the ELD with the purpose of min...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/6/1328 |
| _version_ | 1828152527029272576 |
|---|---|
| author | Thang Trung Nguyen Dieu Ngoc Vo Nguyen Vu Quynh Le Van Dai |
| author_facet | Thang Trung Nguyen Dieu Ngoc Vo Nguyen Vu Quynh Le Van Dai |
| author_sort | Thang Trung Nguyen |
| collection | DOAJ |
| description | Economic load dispatch (ELD) is an important optimization problem for operating and controlling modern power systems, and if ELD is effectively executed, power systems work stably and economically. The main objective of this paper is to develop a novel method to solve the ELD with the purpose of minimizing the total fuel cost of all available generating units while requirements are to satisfy all constraints regarding thermal units, generators, and transmission power networks. The proposed high performance cuckoo search algorithm (HPCSA) is developed from the efficient technique for the second new solution generation of conventional cuckoo search algorithm (CCSA), called adaptive mutation technique. This proposed technique diversifies the local search ability based on a new comparison criterion. The HPCSA is verified on difference systems under special conditions, namely the 10-unit system with multi fuels, 15-unit system considering prohibited operating zones, and three IEEE systems with 30, 57, and 118 buses considering transmission power network constraints. The specific evaluation of the HPCSA is compared to that of Lagrange optimization-based methods (LMS), neural network-based methods (NNMS), CCSA, and other popular methods such as Particle swarm optimization (PSO) variants, Differential evolution (DE) variants, Genetic Algorithm (GA) variants, and state-of-the-art methods. In comparison with CCSA, the proposed method is always more effective and more robust since the proposed method can find most solutions with better quality and faster convergence speed. In comparison with LMS and NNMS, the proposed method can also find solutions with approximate or equal quality. In comparison with popular methods and state-of-the-art methods, the proposed method has more potential since it can reach faster convergence to valid solutions with approximate or better quality. Consequently, it can be concluded that the proposed HPCSA is an effective optimization tool for dealing with ELD problems. |
| first_indexed | 2024-04-11T22:11:30Z |
| format | Article |
| id | doaj.art-2b57009725984983abc7de21695ea147 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T22:11:30Z |
| publishDate | 2018-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2b57009725984983abc7de21695ea1472022-12-22T04:00:32ZengMDPI AGEnergies1996-10732018-05-01116132810.3390/en11061328en11061328Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel CostThang Trung Nguyen0Dieu Ngoc Vo1Nguyen Vu Quynh2Le Van Dai3Power System Optimization Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, VietnamDepartment of Power Systems, Ho Chi Minh City University of Technology, Ho Chi Minh City 700000, VietnamDepartment of Electrical Engineering, Lac Hong University, Bien Hoa 810000, VietnamInstitute of Research and Development, Duy Tan University, Danang 550000, VietnamEconomic load dispatch (ELD) is an important optimization problem for operating and controlling modern power systems, and if ELD is effectively executed, power systems work stably and economically. The main objective of this paper is to develop a novel method to solve the ELD with the purpose of minimizing the total fuel cost of all available generating units while requirements are to satisfy all constraints regarding thermal units, generators, and transmission power networks. The proposed high performance cuckoo search algorithm (HPCSA) is developed from the efficient technique for the second new solution generation of conventional cuckoo search algorithm (CCSA), called adaptive mutation technique. This proposed technique diversifies the local search ability based on a new comparison criterion. The HPCSA is verified on difference systems under special conditions, namely the 10-unit system with multi fuels, 15-unit system considering prohibited operating zones, and three IEEE systems with 30, 57, and 118 buses considering transmission power network constraints. The specific evaluation of the HPCSA is compared to that of Lagrange optimization-based methods (LMS), neural network-based methods (NNMS), CCSA, and other popular methods such as Particle swarm optimization (PSO) variants, Differential evolution (DE) variants, Genetic Algorithm (GA) variants, and state-of-the-art methods. In comparison with CCSA, the proposed method is always more effective and more robust since the proposed method can find most solutions with better quality and faster convergence speed. In comparison with LMS and NNMS, the proposed method can also find solutions with approximate or equal quality. In comparison with popular methods and state-of-the-art methods, the proposed method has more potential since it can reach faster convergence to valid solutions with approximate or better quality. Consequently, it can be concluded that the proposed HPCSA is an effective optimization tool for dealing with ELD problems.http://www.mdpi.com/1996-1073/11/6/1328cuckoo search algorithmvalve point loading effectsprohibited operating zonetransmission network constraintsIEEE networks |
| spellingShingle | Thang Trung Nguyen Dieu Ngoc Vo Nguyen Vu Quynh Le Van Dai Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost Energies cuckoo search algorithm valve point loading effects prohibited operating zone transmission network constraints IEEE networks |
| title | Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost |
| title_full | Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost |
| title_fullStr | Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost |
| title_full_unstemmed | Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost |
| title_short | Modified Cuckoo Search Algorithm: A Novel Method to Minimize the Fuel Cost |
| title_sort | modified cuckoo search algorithm a novel method to minimize the fuel cost |
| topic | cuckoo search algorithm valve point loading effects prohibited operating zone transmission network constraints IEEE networks |
| url | http://www.mdpi.com/1996-1073/11/6/1328 |
| work_keys_str_mv | AT thangtrungnguyen modifiedcuckoosearchalgorithmanovelmethodtominimizethefuelcost AT dieungocvo modifiedcuckoosearchalgorithmanovelmethodtominimizethefuelcost AT nguyenvuquynh modifiedcuckoosearchalgorithmanovelmethodtominimizethefuelcost AT levandai modifiedcuckoosearchalgorithmanovelmethodtominimizethefuelcost |