Active Distribution Network (ADN) Grid Structure Optimization and Flexible Resource Collaborative Planning for High-Proportion Renewable Energy Consumption
Download as PDFDOI: 10.23977/fpes.2025.040110 | Downloads: 2 | Views: 157
Author(s)
Jin Panlong 1, Yang Zhao 1, Wang Zhiyuan 2
Affiliation(s)
1 Economic and Technical Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan, Ningxia, China
2 Tianjin University, Nankai, Tianjin, China
Corresponding Author
Wang ZhiyuanABSTRACT
Active distribution networks (ADN) designed to accommodate high-proportion renewable energy consumption face challenges such as insufficient grid structure flexibility, power flow fluctuations, and voltage over-limits at high renewable energy penetration rates. Optimizing the grid structure and coordinating flexible resource planning are urgently needed to improve system absorption capacity and operational safety. This paper constructs a multi-objective planning model based on source-grid-load-storage coordination, incorporating grid structure optimization, distributed energy storage configuration, and adjustable load scheduling into a unified framework. The objective function covers maximizing the renewable energy absorption rate, minimizing operating costs, and voltage deviation constraints. The steps include: (1) establishing a time series model that considers distribution network trends and uncertainties; (2) introducing a typical scenario generation method to characterize renewable energy output fluctuations; (3) constructing a mixed integer linear programming to coordinately optimize grid reconstruction, energy storage layout, and flexible load scheduling; (4) using an improved genetic algorithm for solution and designing a multi-scenario iterative convergence mechanism. Case studies show that compared to a traditional fixed grid structure, the optimized system's renewable energy absorption rate increases to 93%, with average daily operating costs as low as ¥9800, and the average voltage over-limit probability decreases to 3.01%, significantly enhancing the flexibility and clean energy utilization of ADN.
KEYWORDS
ADN; Renewable Energy Absorption; Grid Optimization; Flexible Resources; Collaborative PlanningCITE THIS PAPER
Jin Panlong, Yang Zhao, Wang Zhiyuan, Active Distribution Network (ADN) Grid Structure Optimization and Flexible Resource Collaborative Planning for High-Proportion Renewable Energy Consumption. Frontiers in Power and Energy Systems (2025) Vol. 4: 76-84. DOI: http://dx.doi.org/10.23977/fpes.2025.040110.
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