Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations
The increasing integration of distributed energy resources (DERs) into distribution networks enhances operational flexibility but also introduces significant challenges, including bidirectional power flow and uncertainties in both generation and load. These challenges complicate the scheduling and s...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11039820/ |
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| author | Ruifeng Zhao Ruhao Wu Jiangang Lu Fengchao Chen Qiwei Li |
| author_facet | Ruifeng Zhao Ruhao Wu Jiangang Lu Fengchao Chen Qiwei Li |
| author_sort | Ruifeng Zhao |
| collection | DOAJ |
| description | The increasing integration of distributed energy resources (DERs) into distribution networks enhances operational flexibility but also introduces significant challenges, including bidirectional power flow and uncertainties in both generation and load. These challenges complicate the scheduling and secure operation of integrated transmission and distribution (T&D) systems. To address these issues, this paper presents a multi-timescale scenario-based optimal scheduling approach for an integrated transmission-distribution power system considering the correlation of DERs. First, an adaptive multivariate nonparametric kernel density estimation (KDE) method is developed to construct high-dimensional joint probability distributions of DER outputs, capturing complex correlations between wind power and photovoltaics. Second, a hybrid scenario generation method combining improved rejection sampling with a continuous-time Markov chain is proposed to efficiently produce realistic and representative scenarios across multiple timescales. Third, a coordinated scheduling strategy is designed, which integrates scenario-based optimization into both day-ahead and intraday operations, balancing cost minimization with risk management. Numerical case studies verify the effectiveness of the proposed method, demonstrating enhanced coordination between transmission and distribution levels and improved reliability and DER accommodation. |
| format | Article |
| id | doaj-art-64fd7376d03c49a0a09eccaea37805b4 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-64fd7376d03c49a0a09eccaea37805b42025-08-20T03:28:38ZengIEEEIEEE Access2169-35362025-01-011311536711538310.1109/ACCESS.2025.358107711039820Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables CorrelationsRuifeng Zhao0https://orcid.org/0009-0003-1434-7136Ruhao Wu1Jiangang Lu2Fengchao Chen3Qiwei Li4Electric Power Dispatching and Control Center, Guangdong Power Grid Company Ltd., Guangzhou, ChinaElectric Power Dispatching and Control Center, Guangdong Power Grid Company Ltd., Guangzhou, ChinaElectric Power Dispatching and Control Center, Guangdong Power Grid Company Ltd., Guangzhou, ChinaDongguan Power Supply Bureau, Guangdong Power Grid Company Ltd., Dongguan, ChinaDongguan Power Supply Bureau, Guangdong Power Grid Company Ltd., Dongguan, ChinaThe increasing integration of distributed energy resources (DERs) into distribution networks enhances operational flexibility but also introduces significant challenges, including bidirectional power flow and uncertainties in both generation and load. These challenges complicate the scheduling and secure operation of integrated transmission and distribution (T&D) systems. To address these issues, this paper presents a multi-timescale scenario-based optimal scheduling approach for an integrated transmission-distribution power system considering the correlation of DERs. First, an adaptive multivariate nonparametric kernel density estimation (KDE) method is developed to construct high-dimensional joint probability distributions of DER outputs, capturing complex correlations between wind power and photovoltaics. Second, a hybrid scenario generation method combining improved rejection sampling with a continuous-time Markov chain is proposed to efficiently produce realistic and representative scenarios across multiple timescales. Third, a coordinated scheduling strategy is designed, which integrates scenario-based optimization into both day-ahead and intraday operations, balancing cost minimization with risk management. Numerical case studies verify the effectiveness of the proposed method, demonstrating enhanced coordination between transmission and distribution levels and improved reliability and DER accommodation.https://ieeexplore.ieee.org/document/11039820/Distributed energy resourcesintegrated transmission and distribution networkmulti-timescale scenario-based optimal schedulingoperational risk |
| spellingShingle | Ruifeng Zhao Ruhao Wu Jiangang Lu Fengchao Chen Qiwei Li Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations IEEE Access Distributed energy resources integrated transmission and distribution network multi-timescale scenario-based optimal scheduling operational risk |
| title | Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations |
| title_full | Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations |
| title_fullStr | Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations |
| title_full_unstemmed | Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations |
| title_short | Scenario-Based Optimized Coordinated Scheduling of Transmission and Distribution Networks With Multiple Timescales Considering Renewables Correlations |
| title_sort | scenario based optimized coordinated scheduling of transmission and distribution networks with multiple timescales considering renewables correlations |
| topic | Distributed energy resources integrated transmission and distribution network multi-timescale scenario-based optimal scheduling operational risk |
| url | https://ieeexplore.ieee.org/document/11039820/ |
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