Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response
In this paper, a model is proposed for the optimal operation of multi-energy microgrids (MEMGs) in the presence of solar photovoltaics (PV), heterogeneous energy storage (HES) and integrated demand response (IDR), considering technical and economic ties among the resources. Uncertainty of solar powe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/3/1005 |
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| author | Jingshan Wang Ke-Jun Li Yongliang Liang Zahid Javid |
| author_facet | Jingshan Wang Ke-Jun Li Yongliang Liang Zahid Javid |
| author_sort | Jingshan Wang |
| collection | DOAJ |
| description | In this paper, a model is proposed for the optimal operation of multi-energy microgrids (MEMGs) in the presence of solar photovoltaics (PV), heterogeneous energy storage (HES) and integrated demand response (IDR), considering technical and economic ties among the resources. Uncertainty of solar power as well as the flexibility of electrical, cooling and heat load demand are taken into account. A p-efficient point method is applied to compute PV power at different confidence levels based on historical data. This method converts the uncertain PV energy from stochastic to deterministic to be included in the optimization model. The concept of demand response is extended and mathematically modeled using a linear function based on the quantized flexibility interval of multi-energy load demand. As a result, the overall model is formulated as a mixed-integer linear program, which can be effectively solved by the commercial solvers. The proposed model is implemented on two typical summer and winter days for various cases. Results of case studies show the important benefits for maximum PV utilization, energy efficiency and economic system operation. Moreover, the influence of the different confidence levels of PV power and effectiveness of IDR in the stochastic circumstances are addressed in the optimization-based operation. |
| first_indexed | 2024-03-09T03:56:35Z |
| format | Article |
| id | doaj.art-750b82da1fd34bcfbc62cced7a506be2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T03:56:35Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-750b82da1fd34bcfbc62cced7a506be22023-12-03T14:20:10ZengMDPI AGApplied Sciences2076-34172021-01-01113100510.3390/app11031005Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand ResponseJingshan Wang0Ke-Jun Li1Yongliang Liang2Zahid Javid3School of Electrical Engineering, Shandong University, Jinan 250061, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaSchool of Electrical Engineering, Shandong University, Jinan 250061, ChinaIn this paper, a model is proposed for the optimal operation of multi-energy microgrids (MEMGs) in the presence of solar photovoltaics (PV), heterogeneous energy storage (HES) and integrated demand response (IDR), considering technical and economic ties among the resources. Uncertainty of solar power as well as the flexibility of electrical, cooling and heat load demand are taken into account. A p-efficient point method is applied to compute PV power at different confidence levels based on historical data. This method converts the uncertain PV energy from stochastic to deterministic to be included in the optimization model. The concept of demand response is extended and mathematically modeled using a linear function based on the quantized flexibility interval of multi-energy load demand. As a result, the overall model is formulated as a mixed-integer linear program, which can be effectively solved by the commercial solvers. The proposed model is implemented on two typical summer and winter days for various cases. Results of case studies show the important benefits for maximum PV utilization, energy efficiency and economic system operation. Moreover, the influence of the different confidence levels of PV power and effectiveness of IDR in the stochastic circumstances are addressed in the optimization-based operation.https://www.mdpi.com/2076-3417/11/3/1005multi-energy microgridPVuncertaintyintegrated demand responseheterogeneous |
| spellingShingle | Jingshan Wang Ke-Jun Li Yongliang Liang Zahid Javid Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response Applied Sciences multi-energy microgrid PV uncertainty integrated demand response heterogeneous |
| title | Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response |
| title_full | Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response |
| title_fullStr | Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response |
| title_full_unstemmed | Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response |
| title_short | Optimization of Multi-Energy Microgrid Operation in the Presence of PV, Heterogeneous Energy Storage and Integrated Demand Response |
| title_sort | optimization of multi energy microgrid operation in the presence of pv heterogeneous energy storage and integrated demand response |
| topic | multi-energy microgrid PV uncertainty integrated demand response heterogeneous |
| url | https://www.mdpi.com/2076-3417/11/3/1005 |
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