Optimal configuration of photovoltaic energy storage capacity for large power users
The configuration of user-side energy storage can effectively alleviate the timing mismatch between distributed photovoltaic output and load power demand, and use the industrial user electricity price mechanism to earn revenue from peak shaving and valley filling. The configuration of photovoltaic &...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721010325 |
| _version_ | 1818403549029072896 |
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| author | Dongsheng Li Wenjia Cai |
| author_facet | Dongsheng Li Wenjia Cai |
| author_sort | Dongsheng Li |
| collection | DOAJ |
| description | The configuration of user-side energy storage can effectively alleviate the timing mismatch between distributed photovoltaic output and load power demand, and use the industrial user electricity price mechanism to earn revenue from peak shaving and valley filling. The configuration of photovoltaic & energy storage capacity and the charging and discharging strategy of energy storage can affect the economic benefits of users. This paper considers the annual comprehensive cost of the user to install the photovoltaic energy storage system and the user’s daily electricity bill to establish a bi-level optimization model. The outer model optimizes the photovoltaic & energy storage capacity, and the inner model optimizes the operation strategy of the energy storage. And calculate the actual life of the energy storage through the rain flow counting method. Use the fmincon function in the optimization toolbox to solve the problem on the matlab platform. The result of the calculation example verifies the improvement effect of the bi-level optimization model proposed in this paper on user economy. |
| first_indexed | 2024-12-14T08:26:01Z |
| format | Article |
| id | doaj.art-9849d823727247589d12a5b896637654 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-14T08:26:01Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-9849d823727247589d12a5b8966376542022-12-21T23:09:38ZengElsevierEnergy Reports2352-48472021-11-017468478Optimal configuration of photovoltaic energy storage capacity for large power usersDongsheng Li0Wenjia Cai1Corresponding author.; State Grid Hubei Electric Power Co, Hongshan District, Wuhan 430070, ChinaState Grid Hubei Electric Power Co, Hongshan District, Wuhan 430070, ChinaThe configuration of user-side energy storage can effectively alleviate the timing mismatch between distributed photovoltaic output and load power demand, and use the industrial user electricity price mechanism to earn revenue from peak shaving and valley filling. The configuration of photovoltaic & energy storage capacity and the charging and discharging strategy of energy storage can affect the economic benefits of users. This paper considers the annual comprehensive cost of the user to install the photovoltaic energy storage system and the user’s daily electricity bill to establish a bi-level optimization model. The outer model optimizes the photovoltaic & energy storage capacity, and the inner model optimizes the operation strategy of the energy storage. And calculate the actual life of the energy storage through the rain flow counting method. Use the fmincon function in the optimization toolbox to solve the problem on the matlab platform. The result of the calculation example verifies the improvement effect of the bi-level optimization model proposed in this paper on user economy.http://www.sciencedirect.com/science/article/pii/S2352484721010325Photovoltaic and energy storage systemBi-level optimizationRain flow counting method |
| spellingShingle | Dongsheng Li Wenjia Cai Optimal configuration of photovoltaic energy storage capacity for large power users Energy Reports Photovoltaic and energy storage system Bi-level optimization Rain flow counting method |
| title | Optimal configuration of photovoltaic energy storage capacity for large power users |
| title_full | Optimal configuration of photovoltaic energy storage capacity for large power users |
| title_fullStr | Optimal configuration of photovoltaic energy storage capacity for large power users |
| title_full_unstemmed | Optimal configuration of photovoltaic energy storage capacity for large power users |
| title_short | Optimal configuration of photovoltaic energy storage capacity for large power users |
| title_sort | optimal configuration of photovoltaic energy storage capacity for large power users |
| topic | Photovoltaic and energy storage system Bi-level optimization Rain flow counting method |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721010325 |
| work_keys_str_mv | AT dongshengli optimalconfigurationofphotovoltaicenergystoragecapacityforlargepowerusers AT wenjiacai optimalconfigurationofphotovoltaicenergystoragecapacityforlargepowerusers |