A method for optimal dispatching of distribution networks with distributed generation.

CN115333082BActive Publication Date: 2026-05-26STATE GRID SHANDONG ELECTRIC POWER CO
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID SHANDONG ELECTRIC POWER CO
Filing Date
2022-07-15
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Traditional particle swarm optimization algorithms cannot take into account multiple objectives in the optimal scheduling of distribution networks, making it difficult to simultaneously optimize distribution network operating costs and load power outage rates.

Method used

A multi-objective improved particle swarm optimization algorithm is adopted to construct an objective function that takes into account both the operating cost of the distribution network and the load failure rate. The search process of the particle swarm is optimized by updating the particle velocity and position, and the particle position is updated by combining the geometric distance comparison method of the ideal optimal point.

Benefits of technology

It effectively reduced the operational optimization of the distribution network, optimized the operating cost and load loss rate of the distribution network, optimized the scheduling of the distribution network, improved search efficiency, and improved the operational efficiency and scheduling of the distribution network.

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Abstract

This invention discloses a method for optimal scheduling of distribution networks containing distributed generation sources, comprising the following steps: Step 1, constructing an objective function considering the operating cost and load failure rate of the distribution network based on the distribution network structure and the distributed generation sources connected to the distribution network; Step 2, establishing constraints for optimal scheduling of the distribution network based on the distribution network structure and the distributed generation sources connected to the distribution network; Step 3, solving the objective function that satisfies the constraints using a multi-objective improved particle swarm optimization algorithm. The method disclosed in this invention, by employing a multi-objective improved particle swarm optimization algorithm to solve the objective function, can make the operation optimization of the distribution network more reasonable and can be applied to the optimal scheduling of actual distribution networks.
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