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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.04446 |
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| _version_ | 1866909565840261120 |
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| author | Wang, Chunling Liu, Chunming Zhou, Xiulin Li, Yang Zhang, Gaoyuan |
| author_facet | Wang, Chunling Liu, Chunming Zhou, Xiulin Li, Yang Zhang, Gaoyuan |
| contents | Active distribution networks (ADNs) are the main platforms for carrying large-scale distributed renewable energy and flexible resources, and multi-community integrated energy systems (MCIESs) may become important flexible resource supplies in ADNs owing to their multi-energy synergistic and complementary advantages. To fully utilize the flexible regulation potential of MCIESs for ADNs, a novel hierarchical stochastic dispatch approach for ADNs that considers flexibility auxiliary services of MCIESs is proposed. In this approach, a flexibility auxiliary service pricing strategy that combines adjustment cost and flexibility margin is established by evaluating the operational flexibility of MCIESs. In addition, considering renewable uncertainty, an MCIES-ADN flexibility interaction mechanism based on insufficient flexibility risk is designed to optimize their operation strategies and reduce the uncertainty risk. In the solution phase, an analytical target cascading theory-based distributed solving method is developed to realize decoupling and parallel solving of multiple stakeholders. The simulation results for a PG&E 69-node system with three CIESs demonstrate that the proposed approach not only improves MCIES revenue but also enhances ADN flexibility to consume renewable energy, which provides a fundamental way for efficient application of regional mutual aid. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04446 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems Wang, Chunling Liu, Chunming Zhou, Xiulin Li, Yang Zhang, Gaoyuan Systems and Control Active distribution networks (ADNs) are the main platforms for carrying large-scale distributed renewable energy and flexible resources, and multi-community integrated energy systems (MCIESs) may become important flexible resource supplies in ADNs owing to their multi-energy synergistic and complementary advantages. To fully utilize the flexible regulation potential of MCIESs for ADNs, a novel hierarchical stochastic dispatch approach for ADNs that considers flexibility auxiliary services of MCIESs is proposed. In this approach, a flexibility auxiliary service pricing strategy that combines adjustment cost and flexibility margin is established by evaluating the operational flexibility of MCIESs. In addition, considering renewable uncertainty, an MCIES-ADN flexibility interaction mechanism based on insufficient flexibility risk is designed to optimize their operation strategies and reduce the uncertainty risk. In the solution phase, an analytical target cascading theory-based distributed solving method is developed to realize decoupling and parallel solving of multiple stakeholders. The simulation results for a PG&E 69-node system with three CIESs demonstrate that the proposed approach not only improves MCIES revenue but also enhances ADN flexibility to consume renewable energy, which provides a fundamental way for efficient application of regional mutual aid. |
| title | Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2409.04446 |