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ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Energy Storage
Volume 12 - 2024 |
doi: 10.3389/fenrg.2024.1450986
This article is part of the Research Topic Optimization and Data-driven Approaches for Energy Storage-based Demand Response to Achieve Power System Flexibility View all 16 articles
Active power optimization scheduling method for large-scale urban distribution networks with distributed photovoltaics considering the regulating capacity of the main network
Provisionally accepted- 1 Electric Power Research Institute, State Grid Beijing Electric Power Company, Beijing, China
- 2 School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, Beijing Municipality, China
Distributed photovoltaic (PV) access to a large urban distribution network, the active balance brought by it is mainly borne by the main network gas unit, when the scale of distributed PV is too large, the main network can only provide a limited regulation capacity, in this case the distribution network how to carry out active optimal scheduling. This paper proposes an active optimisation scheduling model for a distribution network, considering the regulation capability of the main network. In terms of optimisation objectives, it is proposed that the maximum consumption of distributed PV and the minimum power fluctuation at the main distribution network demarcation point are the main objectives, while the minimum total exchanged power in a cycle at the main distribution demarcation point and the minimum distribution network loss are the secondary objectives; in terms of constraints, it is proposed that the main network's regulation capability is characterised by the main network's gasfired unit climbing constraints. A fast solution method for distribution network active optimisation is designed to formulate the priority control order of adjustable units according to the dispatch economic performance of various types of adjustable resources in the distribution network, which reduces the number of variables involved in the optimisation at each step and improves the optimisation solution speed. Finally, the effectiveness of the above method is verified by arithmetic examples.
Keywords: large urban distribution network, active power optimal scheduling, Distributed photovoltaic, Photovoltaic consumption, main distribution cooperation
Received: 18 Jun 2024; Accepted: 05 Aug 2024.
Copyright: © 2024 Gong, Wang, Zhang, Dong, Liu, Dong and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wenhan Zhang, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, 102206, Beijing Municipality, China
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