Dynamic reconfiguration of three‐phase imbalanced distribution networks considering soft open points

Author:

Ji Xingquan1,Zhang Xuan12ORCID,Ye Pingfeng1,Zhang Yumin1ORCID,Li Guanglei3,Gong Zheng4

Affiliation:

1. College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao Shandong China

2. Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China

3. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan Shandong China

4. State Grid Weifang Power Supply Company Weifang Shandong China

Abstract

AbstractThe characteristics of three‐phase imbalances are present in medium‐ and low‐voltage distribution networks. Integrating single‐phase distributed generation (DG) exacerbates network imbalances, resulting in increased power losses and potential safety hazards. To address these issues, a dynamic reconfiguration strategy (DNR) for three‐phase imbalanced distribution networks, considering soft open points (SOP), has been proposed. The objective is to alleviate the three‐phase imbalance and minimize the operational costs of the distribution network. Within the reconfiguration strategy, the constraints of DG current imbalance in practical system operations are considered. A three‐phase imbalanced DNR model that simultaneously considers the constraints of the SOP and DG current imbalances is introduced. This model aims to optimize the operation of all devices, including the SOP, to address the overall imbalance of the distribution network. This enables the authors to transform the non‐linear model into a mixed‐integer linear programming (MILP) model, significantly improving the solution efficiency. To validate the proposed strategy, simulations of a modified IEEE 34‐node distribution system and an actual 78‐node distribution system were conducted. The results demonstrate that this strategy offers significant economic benefits and ensures the security of the distribution network.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Institution of Engineering and Technology (IET)

Subject

General Medicine

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