Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO
In recent years, several countries have proposed targets for carbon neutrality in energy, and the transformation of energy systems has become a research hotspot. As a system capable of coupling multi-energy, achieving high penetrations of renewable energy, and improving energy efficiency, the integr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Kaunas University of Technology
2023-08-01
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| Series: | Elektronika ir Elektrotechnika |
| Subjects: | |
| Online Access: | https://eejournal.ktu.lt/index.php/elt/article/view/33944 |
| _version_ | 1797608452774690816 |
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| author | Minglei Qin Anjie Lu Yu Huang |
| author_facet | Minglei Qin Anjie Lu Yu Huang |
| author_sort | Minglei Qin |
| collection | DOAJ |
| description | In recent years, several countries have proposed targets for carbon neutrality in energy, and the transformation of energy systems has become a research hotspot. As a system capable of coupling multi-energy, achieving high penetrations of renewable energy, and improving energy efficiency, the integrated energy system will take on more responsibility under the carbon neutrality target. This paper uses GAPSO (which combines genetic algorithm with particle swarm optimisation algorithm, has a faster iteration speed, and avoids local optimisation) to solve the Pareto frontier set considering the system operation costs and carbon emission. The system operation costs are described using Latin hypercube sampling (LHS) to predict the stochastic output of the renewable energy source and a penalty function based on the predicted mean vote (PMV) model to describe the thermal comfort of the user, which is solved using the genetic algorithm (GA) algorithm. The carbon emission is calculated using the carbon accounting method. |
| first_indexed | 2024-03-11T05:44:37Z |
| format | Article |
| id | doaj.art-36722e0523064093af2a1ed20d6dc178 |
| institution | Directory Open Access Journal |
| issn | 1392-1215 2029-5731 |
| language | English |
| last_indexed | 2024-03-11T05:44:37Z |
| publishDate | 2023-08-01 |
| publisher | Kaunas University of Technology |
| record_format | Article |
| series | Elektronika ir Elektrotechnika |
| spelling | doaj.art-36722e0523064093af2a1ed20d6dc1782023-11-17T15:02:10ZengKaunas University of TechnologyElektronika ir Elektrotechnika1392-12152029-57312023-08-01294546010.5755/j02.eie.3394439198Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSOMinglei Qin0Anjie Lu1Yu Huang2School of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Government, Nanjing University, Nanjing, ChinaInstitute of Advanced Technology for Carbon Neutrality, Nanjing University of Posts and Telecommunications, Nanjing, China In recent years, several countries have proposed targets for carbon neutrality in energy, and the transformation of energy systems has become a research hotspot. As a system capable of coupling multi-energy, achieving high penetrations of renewable energy, and improving energy efficiency, the integrated energy system will take on more responsibility under the carbon neutrality target. This paper uses GAPSO (which combines genetic algorithm with particle swarm optimisation algorithm, has a faster iteration speed, and avoids local optimisation) to solve the Pareto frontier set considering the system operation costs and carbon emission. The system operation costs are described using Latin hypercube sampling (LHS) to predict the stochastic output of the renewable energy source and a penalty function based on the predicted mean vote (PMV) model to describe the thermal comfort of the user, which is solved using the genetic algorithm (GA) algorithm. The carbon emission is calculated using the carbon accounting method.https://eejournal.ktu.lt/index.php/elt/article/view/33944low-carbon integrated energy systemscarbon emission accountingmulti-objective optimisationgapso |
| spellingShingle | Minglei Qin Anjie Lu Yu Huang Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO Elektronika ir Elektrotechnika low-carbon integrated energy systems carbon emission accounting multi-objective optimisation gapso |
| title | Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO |
| title_full | Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO |
| title_fullStr | Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO |
| title_full_unstemmed | Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO |
| title_short | Low-Carbon Economic Multi-Objective Dispatch of an Integrated Energy System Based on GAPSO |
| title_sort | low carbon economic multi objective dispatch of an integrated energy system based on gapso |
| topic | low-carbon integrated energy systems carbon emission accounting multi-objective optimisation gapso |
| url | https://eejournal.ktu.lt/index.php/elt/article/view/33944 |
| work_keys_str_mv | AT mingleiqin lowcarboneconomicmultiobjectivedispatchofanintegratedenergysystembasedongapso AT anjielu lowcarboneconomicmultiobjectivedispatchofanintegratedenergysystembasedongapso AT yuhuang lowcarboneconomicmultiobjectivedispatchofanintegratedenergysystembasedongapso |