Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations
In recent years, renewable energy has received extensive attention due to its advantages of sustainability, economy, and environmental protection. However, with the rapid development of renewable energy, the problem of curtailment is becoming increasingly serious. Studying the calculation method and...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-09-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/19/6987 |
| _version_ | 1797479675029618688 |
|---|---|
| author | Dan Zhou Qi Zhang Yangqing Dan Fanghong Guo Jun Qi Chenyuan Teng Wenwei Zhou Haonan Zhu |
| author_facet | Dan Zhou Qi Zhang Yangqing Dan Fanghong Guo Jun Qi Chenyuan Teng Wenwei Zhou Haonan Zhu |
| author_sort | Dan Zhou |
| collection | DOAJ |
| description | In recent years, renewable energy has received extensive attention due to its advantages of sustainability, economy, and environmental protection. However, with the rapid development of renewable energy, the problem of curtailment is becoming increasingly serious. Studying the calculation method and establishing a quantitative evaluation system of renewable energy accommodation capacity are important means to solve this problem. This paper comprehensively considers the factors affecting the accommodation of renewable energy, establishes a accommodation calculation model with the maximum accommodation of renewable energy as the optimization target based on the time series production simulation method, and uses the hybrid particle swarm optimization (PSO) algorithm to solve it. The model is verified with historical data such as load, photovoltaic (PV), and wind power in a certain region throughout the year. The experimental results verify the rationality of the renewable-energy accommodation-capacity model proposed in this paper and the correctness of the theoretical analysis. The calculation results have important reference and guiding significance for the operation and control of power-grid planning and dispatching. |
| first_indexed | 2024-03-09T21:49:13Z |
| format | Article |
| id | doaj.art-b2fe17367fe64d8a8c67e2f71657e813 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:49:13Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b2fe17367fe64d8a8c67e2f71657e8132023-11-23T20:11:13ZengMDPI AGEnergies1996-10732022-09-011519698710.3390/en15196987Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production SimulationsDan Zhou0Qi Zhang1Yangqing Dan2Fanghong Guo3Jun Qi4Chenyuan Teng5Wenwei Zhou6Haonan Zhu7College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaEconomic and Technological Research Institute, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaIn recent years, renewable energy has received extensive attention due to its advantages of sustainability, economy, and environmental protection. However, with the rapid development of renewable energy, the problem of curtailment is becoming increasingly serious. Studying the calculation method and establishing a quantitative evaluation system of renewable energy accommodation capacity are important means to solve this problem. This paper comprehensively considers the factors affecting the accommodation of renewable energy, establishes a accommodation calculation model with the maximum accommodation of renewable energy as the optimization target based on the time series production simulation method, and uses the hybrid particle swarm optimization (PSO) algorithm to solve it. The model is verified with historical data such as load, photovoltaic (PV), and wind power in a certain region throughout the year. The experimental results verify the rationality of the renewable-energy accommodation-capacity model proposed in this paper and the correctness of the theoretical analysis. The calculation results have important reference and guiding significance for the operation and control of power-grid planning and dispatching.https://www.mdpi.com/1996-1073/15/19/6987renewable energyaccommodation capabilitytime-series production simulationparticle swarm optimizationpower grid planning |
| spellingShingle | Dan Zhou Qi Zhang Yangqing Dan Fanghong Guo Jun Qi Chenyuan Teng Wenwei Zhou Haonan Zhu Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations Energies renewable energy accommodation capability time-series production simulation particle swarm optimization power grid planning |
| title | Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations |
| title_full | Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations |
| title_fullStr | Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations |
| title_full_unstemmed | Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations |
| title_short | Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations |
| title_sort | research on renewable energy accommodation capability evaluation based on time series production simulations |
| topic | renewable energy accommodation capability time-series production simulation particle swarm optimization power grid planning |
| url | https://www.mdpi.com/1996-1073/15/19/6987 |
| work_keys_str_mv | AT danzhou researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT qizhang researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT yangqingdan researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT fanghongguo researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT junqi researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT chenyuanteng researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT wenweizhou researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations AT haonanzhu researchonrenewableenergyaccommodationcapabilityevaluationbasedontimeseriesproductionsimulations |