An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates
Rational allocation of energy storage not only facilitates the new energy consumption but also enables peak shaving and valley filling， ensuring the safe， reliable， and economical operation of distribution networks. This paper proposes an optimal strategy for energy storage allocation that considers...
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2025-01-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=708354bf-00a8-4505-81a5-19c37cf23351 |
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| _version_ | 1823857054770528256 |
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| author | PENG Gang KOU Qilong FANG Tao GENG Xin KONG Xiangwen XU Yaoyao |
| author_facet | PENG Gang KOU Qilong FANG Tao GENG Xin KONG Xiangwen XU Yaoyao |
| author_sort | PENG Gang |
| collection | DOAJ |
| description | Rational allocation of energy storage not only facilitates the new energy consumption but also enables peak shaving and valley filling， ensuring the safe， reliable， and economical operation of distribution networks. This paper proposes an optimal strategy for energy storage allocation that considers new energy consumption rates， establishing a two-layer model for planning and operation. The upper layer employs a grey wolf optimizer （GWO） to determine the locations， capacities， and power ratings of energy storage， which are then passed to the lower layer as newly dispatchable energy storage resources. The lower layer uses an economical operation model for active distribution networks based on second-order cone dynamic power flow to solve the minimal total operational costs. The investment costs for energy storage are incorporated as a fitness function， providing feedback to the upper layer to guide the iterative optimization. Case studies using the modified IEEE 33-bus system demonstrate that the optimal energy storage allocation derived from the proposed strategy effectively increases the consumption rates of wind and solar energy while enhancing the overall economy of the distribution networks. |
| format | Article |
| id | doaj-art-492f6b69aca44c01b9cdcd87e0a203ad |
| institution | Kabale University |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-492f6b69aca44c01b9cdcd87e0a203ad2025-02-12T00:54:58Zzhozhejiang electric powerZhejiang dianli1007-18812025-01-01441849410.19585/j.zjdl.2025010091007-1881（2025）01-0084-11An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption ratesPENG Gang0KOU Qilong1FANG Tao2GENG Xin3KONG Xiangwen4XU Yaoyao5State Grid Luoyang Electric Power Supply Company， Luoyang， Henan 471000， ChinaState Grid Luoyang Electric Power Supply Company， Luoyang， Henan 471000， ChinaState Grid Luoyang Electric Power Supply Company， Luoyang， Henan 471000， ChinaState Grid Luoyang Electric Power Supply Company， Luoyang， Henan 471000， ChinaState Grid Luoyang Electric Power Supply Company， Luoyang， Henan 471000， ChinaSchool of Electric Power Engineering， Nanjing Institute of Technology， Nanjing 211167， ChinaRational allocation of energy storage not only facilitates the new energy consumption but also enables peak shaving and valley filling， ensuring the safe， reliable， and economical operation of distribution networks. This paper proposes an optimal strategy for energy storage allocation that considers new energy consumption rates， establishing a two-layer model for planning and operation. The upper layer employs a grey wolf optimizer （GWO） to determine the locations， capacities， and power ratings of energy storage， which are then passed to the lower layer as newly dispatchable energy storage resources. The lower layer uses an economical operation model for active distribution networks based on second-order cone dynamic power flow to solve the minimal total operational costs. The investment costs for energy storage are incorporated as a fitness function， providing feedback to the upper layer to guide the iterative optimization. Case studies using the modified IEEE 33-bus system demonstrate that the optimal energy storage allocation derived from the proposed strategy effectively increases the consumption rates of wind and solar energy while enhancing the overall economy of the distribution networks.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=708354bf-00a8-4505-81a5-19c37cf23351active distribution networknew energy consumptionenergy storageoptimal allocationgwo |
| spellingShingle | PENG Gang KOU Qilong FANG Tao GENG Xin KONG Xiangwen XU Yaoyao An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates Zhejiang dianli active distribution network new energy consumption energy storage optimal allocation gwo |
| title | An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates |
| title_full | An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates |
| title_fullStr | An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates |
| title_full_unstemmed | An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates |
| title_short | An optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates |
| title_sort | optimal strategy for energy storage allocation in active distribution networks considering new energy consumption rates |
| topic | active distribution network new energy consumption energy storage optimal allocation gwo |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=708354bf-00a8-4505-81a5-19c37cf23351 |
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