Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems
Distributed wind power (DWP) needs to be consumed locally under a 110 kV network without reverse power flow in China. To maximize the use of DWP, this paper proposes a novel method for capacity planning of DWP with participation of the energy storage system (ESS) in multiple scenarios by means of a...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/14/3602 |
| _version_ | 1797562512872308736 |
|---|---|
| author | Yurong Wang Ruolin Yang Sixuan Xu Yi Tang |
| author_facet | Yurong Wang Ruolin Yang Sixuan Xu Yi Tang |
| author_sort | Yurong Wang |
| collection | DOAJ |
| description | Distributed wind power (DWP) needs to be consumed locally under a 110 kV network without reverse power flow in China. To maximize the use of DWP, this paper proposes a novel method for capacity planning of DWP with participation of the energy storage system (ESS) in multiple scenarios by means of a variable-structure copula and optimization theory. First, wind power and local load are predicted at the planning stage by an autoregressive moving average (ARMA) model, then, variable-structure copula models are established based on different time segment strategies to depict the correlation of DWP and load, and the joint typical scenarios of DWP and load are generated by clustering, and a capacity planning model of DWP is proposed considering investment and operation cost, and environmental benefit and line loss cost under typical scenario conditions. Moreover, a collaborative capacity planning model for DWP and ESS is prospectively proposed. Based on the modified IEEE-33 bus system, the results of the case study show that the DWP capacity result is more reasonable after considering the correlation of wind and load by using a variable-structure copula. With consideration of the collaborative planning of DWP and load, the consumption of DWP is further improved, the annual cost of the system is more economical, and the quality of voltage is effectively improved. The study results validate the proposed method and provide effective reference for the planning strategy of DWP. |
| first_indexed | 2024-03-10T18:30:16Z |
| format | Article |
| id | doaj.art-1b546ec29d144af1a959aff13d124776 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T18:30:16Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1b546ec29d144af1a959aff13d1247762023-11-20T06:38:53ZengMDPI AGEnergies1996-10732020-07-011314360210.3390/en13143602Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage SystemsYurong Wang0Ruolin Yang1Sixuan Xu2Yi Tang3School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaState Grid Jiangsu Electric Power Design Consulting Co., Ltd. State Grid Jiangsu Electric Power Co., Ltd. Economic Research Institution, Nanjing 210018, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaDistributed wind power (DWP) needs to be consumed locally under a 110 kV network without reverse power flow in China. To maximize the use of DWP, this paper proposes a novel method for capacity planning of DWP with participation of the energy storage system (ESS) in multiple scenarios by means of a variable-structure copula and optimization theory. First, wind power and local load are predicted at the planning stage by an autoregressive moving average (ARMA) model, then, variable-structure copula models are established based on different time segment strategies to depict the correlation of DWP and load, and the joint typical scenarios of DWP and load are generated by clustering, and a capacity planning model of DWP is proposed considering investment and operation cost, and environmental benefit and line loss cost under typical scenario conditions. Moreover, a collaborative capacity planning model for DWP and ESS is prospectively proposed. Based on the modified IEEE-33 bus system, the results of the case study show that the DWP capacity result is more reasonable after considering the correlation of wind and load by using a variable-structure copula. With consideration of the collaborative planning of DWP and load, the consumption of DWP is further improved, the annual cost of the system is more economical, and the quality of voltage is effectively improved. The study results validate the proposed method and provide effective reference for the planning strategy of DWP.https://www.mdpi.com/1996-1073/13/14/3602collaborative capacity planningdistributed wind power (DWP)energy storage system (ESS)optimizationvariable-structure copula |
| spellingShingle | Yurong Wang Ruolin Yang Sixuan Xu Yi Tang Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems Energies collaborative capacity planning distributed wind power (DWP) energy storage system (ESS) optimization variable-structure copula |
| title | Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems |
| title_full | Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems |
| title_fullStr | Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems |
| title_full_unstemmed | Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems |
| title_short | Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems |
| title_sort | capacity planning of distributed wind power based on a variable structure copula involving energy storage systems |
| topic | collaborative capacity planning distributed wind power (DWP) energy storage system (ESS) optimization variable-structure copula |
| url | https://www.mdpi.com/1996-1073/13/14/3602 |
| work_keys_str_mv | AT yurongwang capacityplanningofdistributedwindpowerbasedonavariablestructurecopulainvolvingenergystoragesystems AT ruolinyang capacityplanningofdistributedwindpowerbasedonavariablestructurecopulainvolvingenergystoragesystems AT sixuanxu capacityplanningofdistributedwindpowerbasedonavariablestructurecopulainvolvingenergystoragesystems AT yitang capacityplanningofdistributedwindpowerbasedonavariablestructurecopulainvolvingenergystoragesystems |