Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm
Owing to the growing interest in environmental problems worldwide, it is essential to schedule power generation considering the effects of pollutants. To address this, we propose an optimal approach that solves the combined economic emission dispatch (CEED) with maximum emission constraints by consi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/23/6450 |
| _version_ | 1797545502840979456 |
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| author | Ho-Sung Ryu Mun-Kyeom Kim |
| author_facet | Ho-Sung Ryu Mun-Kyeom Kim |
| author_sort | Ho-Sung Ryu |
| collection | DOAJ |
| description | Owing to the growing interest in environmental problems worldwide, it is essential to schedule power generation considering the effects of pollutants. To address this, we propose an optimal approach that solves the combined economic emission dispatch (CEED) with maximum emission constraints by considering demand response (DR) program. The CEED consists of the sum of operation costs for each generator and the pollutant emissions. An environment-based demand response (EBDR) program is used to implement pollutant emission reduction and facilitate economic improvement. Through the weighting update artificial bee colony (WU-ABC) algorithm, the penalty factor that determines the weighting of the two objective functions is adjusted, and an optimal operation solution for a microgrid (MG) is then determined to resolve the CEED problem. The effectiveness and applicability of the proposed approach are demonstrated via comparative analyses at a modified grid-connected MG test system. The results confirm that the proposed approach not only satisfies emission constraints but also ensures an economically superior performance compared to other approaches. These results present a useful solution for microgrid operators considered environment issues. |
| first_indexed | 2024-03-10T14:17:17Z |
| format | Article |
| id | doaj.art-3ae0472019c54208adaf6a934da9defc |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T14:17:17Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3ae0472019c54208adaf6a934da9defc2023-11-20T23:40:57ZengMDPI AGEnergies1996-10732020-12-011323645010.3390/en13236450Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC AlgorithmHo-Sung Ryu0Mun-Kyeom Kim1School of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaSchool of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaOwing to the growing interest in environmental problems worldwide, it is essential to schedule power generation considering the effects of pollutants. To address this, we propose an optimal approach that solves the combined economic emission dispatch (CEED) with maximum emission constraints by considering demand response (DR) program. The CEED consists of the sum of operation costs for each generator and the pollutant emissions. An environment-based demand response (EBDR) program is used to implement pollutant emission reduction and facilitate economic improvement. Through the weighting update artificial bee colony (WU-ABC) algorithm, the penalty factor that determines the weighting of the two objective functions is adjusted, and an optimal operation solution for a microgrid (MG) is then determined to resolve the CEED problem. The effectiveness and applicability of the proposed approach are demonstrated via comparative analyses at a modified grid-connected MG test system. The results confirm that the proposed approach not only satisfies emission constraints but also ensures an economically superior performance compared to other approaches. These results present a useful solution for microgrid operators considered environment issues.https://www.mdpi.com/1996-1073/13/23/6450combined economic emission dispatchenvironment-based demand responseemission constraintspenalty factorweighting update artificial bee colony |
| spellingShingle | Ho-Sung Ryu Mun-Kyeom Kim Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm Energies combined economic emission dispatch environment-based demand response emission constraints penalty factor weighting update artificial bee colony |
| title | Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm |
| title_full | Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm |
| title_fullStr | Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm |
| title_full_unstemmed | Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm |
| title_short | Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm |
| title_sort | combined economic emission dispatch with environment based demand response using wu abc algorithm |
| topic | combined economic emission dispatch environment-based demand response emission constraints penalty factor weighting update artificial bee colony |
| url | https://www.mdpi.com/1996-1073/13/23/6450 |
| work_keys_str_mv | AT hosungryu combinedeconomicemissiondispatchwithenvironmentbaseddemandresponseusingwuabcalgorithm AT munkyeomkim combinedeconomicemissiondispatchwithenvironmentbaseddemandresponseusingwuabcalgorithm |