Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies
To settle the large-scale integration of wind power, it is necessary to enhance the wind power hosting capacity of distribution network. To this end, this paper proposes a stochastic mixed-integer linear programming (MILP) model to enhance the hosting capacity of distribution network with active net...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9222042/ |
| _version_ | 1819173355516854272 |
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| author | Juanxia Xiao Yong Li Xuebo Qiao Yi Tan Yijia Cao Lin Jiang |
| author_facet | Juanxia Xiao Yong Li Xuebo Qiao Yi Tan Yijia Cao Lin Jiang |
| author_sort | Juanxia Xiao |
| collection | DOAJ |
| description | To settle the large-scale integration of wind power, it is necessary to enhance the wind power hosting capacity of distribution network. To this end, this paper proposes a stochastic mixed-integer linear programming (MILP) model to enhance the hosting capacity of distribution network with active network management (ANM) strategies. The considered ANM strategies include power factor control, reactive power compensation and network reconfiguration. The coordination of these strategies enables the distribution network to accommodate more wind power without violating its constraints. The proposed model relaxes the original nonlinear power flow equations into linear format, so that a near optimal solution can be obtained with moderate computational burden. The wind power and load demand are inherently variable due to the influence of various factors. Moreover, the output powers of multiple wind turbines (WTs) located at adjacent sites of a wind farm are spatially correlated. To represent the uncertain loads, the roulette wheel mechanism is used to generate the load samples. In addition, a combined method of inverse transformation and Nataf transformation is established to deal with the uncertain and correlated wind power. Then, scenario combination and reduction are conducted to generate representative scenarios. Finally, the feasibility and accuracy of the proposed method are verified via numerical tests on the modified IEEE 33-bus test system. |
| first_indexed | 2024-12-22T20:21:46Z |
| format | Article |
| id | doaj.art-bdba0339a3f947f2b35b879a57060cf3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:21:46Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bdba0339a3f947f2b35b879a57060cf32022-12-21T18:13:50ZengIEEEIEEE Access2169-35362020-01-01818911518912810.1109/ACCESS.2020.30307059222042Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM StrategiesJuanxia Xiao0https://orcid.org/0000-0002-6855-2579Yong Li1https://orcid.org/0000-0002-1183-5359Xuebo Qiao2Yi Tan3https://orcid.org/0000-0003-0789-0926Yijia Cao4https://orcid.org/0000-0001-9365-6452Lin Jiang5https://orcid.org/0000-0001-6531-2791College of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.To settle the large-scale integration of wind power, it is necessary to enhance the wind power hosting capacity of distribution network. To this end, this paper proposes a stochastic mixed-integer linear programming (MILP) model to enhance the hosting capacity of distribution network with active network management (ANM) strategies. The considered ANM strategies include power factor control, reactive power compensation and network reconfiguration. The coordination of these strategies enables the distribution network to accommodate more wind power without violating its constraints. The proposed model relaxes the original nonlinear power flow equations into linear format, so that a near optimal solution can be obtained with moderate computational burden. The wind power and load demand are inherently variable due to the influence of various factors. Moreover, the output powers of multiple wind turbines (WTs) located at adjacent sites of a wind farm are spatially correlated. To represent the uncertain loads, the roulette wheel mechanism is used to generate the load samples. In addition, a combined method of inverse transformation and Nataf transformation is established to deal with the uncertain and correlated wind power. Then, scenario combination and reduction are conducted to generate representative scenarios. Finally, the feasibility and accuracy of the proposed method are verified via numerical tests on the modified IEEE 33-bus test system.https://ieeexplore.ieee.org/document/9222042/Active network managementhosting capacitymixed-integer linear programmingstochastic optimizationwind power correlation |
| spellingShingle | Juanxia Xiao Yong Li Xuebo Qiao Yi Tan Yijia Cao Lin Jiang Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies IEEE Access Active network management hosting capacity mixed-integer linear programming stochastic optimization wind power correlation |
| title | Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies |
| title_full | Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies |
| title_fullStr | Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies |
| title_full_unstemmed | Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies |
| title_short | Enhancing Hosting Capacity of Uncertain and Correlated Wind Power in Distribution Network With ANM Strategies |
| title_sort | enhancing hosting capacity of uncertain and correlated wind power in distribution network with anm strategies |
| topic | Active network management hosting capacity mixed-integer linear programming stochastic optimization wind power correlation |
| url | https://ieeexplore.ieee.org/document/9222042/ |
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