Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids
Smart grid with great flexibility requirements will not accommodate high proportion of distributed generation with uncertainty in the future. Hence, it becomes indispensable to research scheduling strategy of distributed generation, aiming to reduce serious curtailment of renewable energy. This pape...
| 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 |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9086013/ |
| _version_ | 1818608534180331520 |
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| author | Hongzhi Dong Shoudong Li Haiying Dong Zhongbei Tian Stuart Hillmansen |
| author_facet | Hongzhi Dong Shoudong Li Haiying Dong Zhongbei Tian Stuart Hillmansen |
| author_sort | Hongzhi Dong |
| collection | DOAJ |
| description | Smart grid with great flexibility requirements will not accommodate high proportion of distributed generation with uncertainty in the future. Hence, it becomes indispensable to research scheduling strategy of distributed generation, aiming to reduce serious curtailment of renewable energy. This paper firstly proposes a virtual power supply, which consists of wind power (WP), photovoltaic (PV) power and pumped storage (PS) power. Based on that, a scheduling strategy structure considering stochastic characteristics caused by WP and PV is designed. After that, according to probability distribution of WP and PV, typical virtual power scenarios are obtained via scenario prediction and scenario reduction method. Furthermore, based on flexibility of virtual power and guidance of time-sharing electricity price mechanism, a coordinated scheduling model with optimization objective that maximizes profit is established. Finally, in simulation, validity of proposed model is verified via comparing with different scheduling models. Besides, profits of system under various peak-valley prices are analyzed, which can provide guidance for electricity pricing. The results illustrate that the proposed scheduling strategy can efficiently balance economy and flexibility in optimizing WP and PV consumption and profits of system are increased with 28% at most. |
| first_indexed | 2024-12-16T14:44:10Z |
| format | Article |
| id | doaj.art-3766d54a5b4d4240944f6178edcc3279 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T14:44:10Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3766d54a5b4d4240944f6178edcc32792022-12-21T22:27:49ZengIEEEIEEE Access2169-35362020-01-018861718617910.1109/ACCESS.2020.29923429086013Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart GridsHongzhi Dong0https://orcid.org/0000-0001-8025-4120Shoudong Li1Haiying Dong2https://orcid.org/0000-0002-3909-3246Zhongbei Tian3https://orcid.org/0000-0001-7295-3327Stuart Hillmansen4School of Electrical Engineering, Southwest Jiaotong University, Chengdu, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, ChinaSchool of Engineering, University of Birmingham, Birmingham, U.K.School of Engineering, University of Birmingham, Birmingham, U.K.Smart grid with great flexibility requirements will not accommodate high proportion of distributed generation with uncertainty in the future. Hence, it becomes indispensable to research scheduling strategy of distributed generation, aiming to reduce serious curtailment of renewable energy. This paper firstly proposes a virtual power supply, which consists of wind power (WP), photovoltaic (PV) power and pumped storage (PS) power. Based on that, a scheduling strategy structure considering stochastic characteristics caused by WP and PV is designed. After that, according to probability distribution of WP and PV, typical virtual power scenarios are obtained via scenario prediction and scenario reduction method. Furthermore, based on flexibility of virtual power and guidance of time-sharing electricity price mechanism, a coordinated scheduling model with optimization objective that maximizes profit is established. Finally, in simulation, validity of proposed model is verified via comparing with different scheduling models. Besides, profits of system under various peak-valley prices are analyzed, which can provide guidance for electricity pricing. The results illustrate that the proposed scheduling strategy can efficiently balance economy and flexibility in optimizing WP and PV consumption and profits of system are increased with 28% at most.https://ieeexplore.ieee.org/document/9086013/Coordinated schedulingdistributed generationphotovoltaic powerpumped storage powerwind poweruncertainty |
| spellingShingle | Hongzhi Dong Shoudong Li Haiying Dong Zhongbei Tian Stuart Hillmansen Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids IEEE Access Coordinated scheduling distributed generation photovoltaic power pumped storage power wind power uncertainty |
| title | Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids |
| title_full | Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids |
| title_fullStr | Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids |
| title_full_unstemmed | Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids |
| title_short | Coordinated Scheduling Strategy for Distributed Generation Considering Uncertainties in Smart Grids |
| title_sort | coordinated scheduling strategy for distributed generation considering uncertainties in smart grids |
| topic | Coordinated scheduling distributed generation photovoltaic power pumped storage power wind power uncertainty |
| url | https://ieeexplore.ieee.org/document/9086013/ |
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