Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System
With the increasing attention of the clean and efficient use of energy, the regional integrated energy system (RIES), as an efficient measure to improve energy efficiency, is tending to play an important role in the field of energy supply. The configuration of multiple energy storage equipment in th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/13/2586 |
| _version_ | 1811305528530305024 |
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| author | Dongmei Zhao Xuan Xia Ran Tao |
| author_facet | Dongmei Zhao Xuan Xia Ran Tao |
| author_sort | Dongmei Zhao |
| collection | DOAJ |
| description | With the increasing attention of the clean and efficient use of energy, the regional integrated energy system (RIES), as an efficient measure to improve energy efficiency, is tending to play an important role in the field of energy supply. The configuration of multiple energy storage equipment in the RIES can greatly improve the economy of the system, which is an important research direction of RIES planning. However, at present the research on the configuration optimization of electric-gas-thermal multi-energy storage devices in RIES is insufficient. Under this background, a method for configuring the rated capacity and power of various energy storage devices in the RIES under both off-grid and grid-connected operating modes was proposed in this paper, and the configuration optimization model was also established. Firstly, the RIES was divided into four parts: Energy supply, energy conversion, energy storage and the load. Based on the energy hub concept, the four parts were modeled respectively. Secondly, considering the influence of electric energy substitution and operation strategy, the optimal configuration of multi-energy storage devices was modeled as a MILP formulation and solved with the Gurobi optimizer. Finally, a case study verified the effectiveness of the proposed model and the method. Furthermore, the sensitivity analysis was carried out to quantify the influence degree of each factor (such as price, etc.) on the energy storage configuration. |
| first_indexed | 2024-04-13T08:28:07Z |
| format | Article |
| id | doaj.art-916bc82c1f5d43d9887f7238fcfeaf4a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T08:28:07Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-916bc82c1f5d43d9887f7238fcfeaf4a2022-12-22T02:54:23ZengMDPI AGEnergies1996-10732019-07-011213258610.3390/en12132586en12132586Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy SystemDongmei Zhao0Xuan Xia1Ran Tao2School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaWith the increasing attention of the clean and efficient use of energy, the regional integrated energy system (RIES), as an efficient measure to improve energy efficiency, is tending to play an important role in the field of energy supply. The configuration of multiple energy storage equipment in the RIES can greatly improve the economy of the system, which is an important research direction of RIES planning. However, at present the research on the configuration optimization of electric-gas-thermal multi-energy storage devices in RIES is insufficient. Under this background, a method for configuring the rated capacity and power of various energy storage devices in the RIES under both off-grid and grid-connected operating modes was proposed in this paper, and the configuration optimization model was also established. Firstly, the RIES was divided into four parts: Energy supply, energy conversion, energy storage and the load. Based on the energy hub concept, the four parts were modeled respectively. Secondly, considering the influence of electric energy substitution and operation strategy, the optimal configuration of multi-energy storage devices was modeled as a MILP formulation and solved with the Gurobi optimizer. Finally, a case study verified the effectiveness of the proposed model and the method. Furthermore, the sensitivity analysis was carried out to quantify the influence degree of each factor (such as price, etc.) on the energy storage configuration.https://www.mdpi.com/1996-1073/12/13/2586regional integrated energy systemconfiguration optimizationmultiple energy storage systemelectric energy substitutionsensitivity analysis |
| spellingShingle | Dongmei Zhao Xuan Xia Ran Tao Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System Energies regional integrated energy system configuration optimization multiple energy storage system electric energy substitution sensitivity analysis |
| title | Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System |
| title_full | Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System |
| title_fullStr | Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System |
| title_full_unstemmed | Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System |
| title_short | Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System |
| title_sort | optimal configuration of electric gas thermal multi energy storage system for regional integrated energy system |
| topic | regional integrated energy system configuration optimization multiple energy storage system electric energy substitution sensitivity analysis |
| url | https://www.mdpi.com/1996-1073/12/13/2586 |
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