Multi-time scale reliability optimization method and system for distributed energy distribution network
IES20250446A2Pending Publication Date: 2026-09-09ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Patent Information
- Application Number
- IES20250446
- Authority / Receiving Office
- IE · IE
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-12-11
- Filing Date
- 2025-10-17
- Publication Date
- 2026-09-09
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Abstract
A multi-time scale reliability optimization method and system for a distributed energy distribution network includes constructing a comprehensive cost model of a distribution network, setting constraint conditions for an operation of the distribution network, using an improved multi-objective grey wolf algorithm for optimization and outputting a reliability operation strategy for the distribution network based on an optimal solution. The method optimizes the distribution network through a two-stage time scale system of medium-and long-term and short-term. The distribution network is set with active power and load power as targets, improving the operation of the distribution network and defining the distribution network. By using a Sobol sequence to optimize the algorithm in an initial population setting stage of the grey wolf algorithm, and optimizing an adaptive factor in a cross-mutation stage, the computational of the grey wolf algorithm is improved to improve the optimization of a distribution network reliability system.
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