An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System
In recent years, wind and photovoltaic power (PV) have been the renewable energy sources (RESs) with the greatest growth, and both are commonly recognized as the major driving forces of energy system revolution. However, they are characterized by intermittency, volatility and randomness. Therefore,...
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| Format: | Article |
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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/1996-1073/12/14/2809 |
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| author | Yumin Xu Yansheng Lang Boying Wen Xiaonan Yang |
| author_facet | Yumin Xu Yansheng Lang Boying Wen Xiaonan Yang |
| author_sort | Yumin Xu |
| collection | DOAJ |
| description | In recent years, wind and photovoltaic power (PV) have been the renewable energy sources (RESs) with the greatest growth, and both are commonly recognized as the major driving forces of energy system revolution. However, they are characterized by intermittency, volatility and randomness. Therefore, their stable and efficient implementation is one of the most significant topics in the field of renewable energy research. In order to improve the stability of RESs and reduce the curtailment of wind and solar energy, this paper proposes an innovative planning method for optimal capacity allocation. On one hand, a new power generation system is introduced which combines a pumped storage power station with a wind farm and PV; on the other hand, the sequential Monte Carlo method is utilized to analyze the economy and reliability of the system under different capacity configurations considering investment cost, operating characteristics and influence factors of wind and solar energy. Then, optimal capacity allocation can be achieved. In summary, this proposed scheme provides an effective solution for the planning and construction of a new power generation system with RESs. |
| first_indexed | 2024-04-12T19:28:17Z |
| format | Article |
| id | doaj.art-58b4f543e6cb494f82b4483ed7222d79 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-12T19:28:17Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-58b4f543e6cb494f82b4483ed7222d792022-12-22T03:19:24ZengMDPI AGEnergies1996-10732019-07-011214280910.3390/en12142809en12142809An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power SystemYumin Xu0Yansheng Lang1Boying Wen2Xiaonan Yang3College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaIn recent years, wind and photovoltaic power (PV) have been the renewable energy sources (RESs) with the greatest growth, and both are commonly recognized as the major driving forces of energy system revolution. However, they are characterized by intermittency, volatility and randomness. Therefore, their stable and efficient implementation is one of the most significant topics in the field of renewable energy research. In order to improve the stability of RESs and reduce the curtailment of wind and solar energy, this paper proposes an innovative planning method for optimal capacity allocation. On one hand, a new power generation system is introduced which combines a pumped storage power station with a wind farm and PV; on the other hand, the sequential Monte Carlo method is utilized to analyze the economy and reliability of the system under different capacity configurations considering investment cost, operating characteristics and influence factors of wind and solar energy. Then, optimal capacity allocation can be achieved. In summary, this proposed scheme provides an effective solution for the planning and construction of a new power generation system with RESs.https://www.mdpi.com/1996-1073/12/14/2809capacity allocationhybrid renewable energy systemcomprehensive incomesequential Monte Carlo method |
| spellingShingle | Yumin Xu Yansheng Lang Boying Wen Xiaonan Yang An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System Energies capacity allocation hybrid renewable energy system comprehensive income sequential Monte Carlo method |
| title | An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System |
| title_full | An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System |
| title_fullStr | An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System |
| title_full_unstemmed | An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System |
| title_short | An Innovative Planning Method for the Optimal Capacity Allocation of a Hybrid Wind–PV–Pumped Storage Power System |
| title_sort | innovative planning method for the optimal capacity allocation of a hybrid wind pv pumped storage power system |
| topic | capacity allocation hybrid renewable energy system comprehensive income sequential Monte Carlo method |
| url | https://www.mdpi.com/1996-1073/12/14/2809 |
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