Optimal Energy Management in a Smart Micro Grid with Demand Side Participation
The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2022-01-01
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| Series: | Environmental and Climate Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/rtuect-2022-0018 |
| _version_ | 1797947846274580480 |
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| author | Tseng Cheng-Jui Dwijendra Ngakan Ketut Acwin Opulencia Maria Jade Catalan Ganieva Sarvinoz Muda Iskandar |
| author_facet | Tseng Cheng-Jui Dwijendra Ngakan Ketut Acwin Opulencia Maria Jade Catalan Ganieva Sarvinoz Muda Iskandar |
| author_sort | Tseng Cheng-Jui |
| collection | DOAJ |
| description | The energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies. |
| first_indexed | 2024-04-10T21:34:14Z |
| format | Article |
| id | doaj.art-d78e3b0ea456417c916372bbe3ee3a04 |
| institution | Directory Open Access Journal |
| issn | 2255-8837 |
| language | English |
| last_indexed | 2024-04-10T21:34:14Z |
| publishDate | 2022-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Environmental and Climate Technologies |
| spelling | doaj.art-d78e3b0ea456417c916372bbe3ee3a042023-01-19T12:47:03ZengSciendoEnvironmental and Climate Technologies2255-88372022-01-0126122823910.2478/rtuect-2022-0018Optimal Energy Management in a Smart Micro Grid with Demand Side ParticipationTseng Cheng-Jui0Dwijendra Ngakan Ketut Acwin1Opulencia Maria Jade Catalan2Ganieva Sarvinoz3Muda Iskandar4School of Technology in Finance, CTBC Business School, Tainan, TaiwanDepartment of Architecture, Faculty of Engineering, Udayana University, Bali, IndonesiaCollege of Business Administration, Ajman University Ajman, Ajman, United Arab EmiratesDepartment of Botany and Ecology, Tashkent State Pedagogical University, Tashkent, UzbekistanDepartment of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, Medan, IndonesiaThe energy management in energy systems is the main solution for energy companies in order to provide minimization of the energy generation costs and emission polluting. In this work, a multi-criteria optimization model is implemented for minimizing the generation cost and emission in a smart micro grid (SMG) at day-ahead planning. In this modelling, the demand side participates in optimal energy management through two strategies such as demand shifting and onsite generation by the energy storage system (ESS). The optimal participation of demand side is modelled based on energy price in energy market. Implementation of the proposed approach in GAMS software is done, and weight sum method (WSM) is employed for solving multi-criteria optimization. The desired optimal solution of multi-criteria objectives is found via the max-min fuzzy procedure. Finally, confirmation of the proposed approach is analysed by numerical simulation in two case studies.https://doi.org/10.2478/rtuect-2022-0018energy managementmax-min fuzzy proceduremulti-criteria optimizationoptimal participation of demand sideweight sum method (wsm) |
| spellingShingle | Tseng Cheng-Jui Dwijendra Ngakan Ketut Acwin Opulencia Maria Jade Catalan Ganieva Sarvinoz Muda Iskandar Optimal Energy Management in a Smart Micro Grid with Demand Side Participation Environmental and Climate Technologies energy management max-min fuzzy procedure multi-criteria optimization optimal participation of demand side weight sum method (wsm) |
| title | Optimal Energy Management in a Smart Micro Grid with Demand Side Participation |
| title_full | Optimal Energy Management in a Smart Micro Grid with Demand Side Participation |
| title_fullStr | Optimal Energy Management in a Smart Micro Grid with Demand Side Participation |
| title_full_unstemmed | Optimal Energy Management in a Smart Micro Grid with Demand Side Participation |
| title_short | Optimal Energy Management in a Smart Micro Grid with Demand Side Participation |
| title_sort | optimal energy management in a smart micro grid with demand side participation |
| topic | energy management max-min fuzzy procedure multi-criteria optimization optimal participation of demand side weight sum method (wsm) |
| url | https://doi.org/10.2478/rtuect-2022-0018 |
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