A power distribution network operation optimization method and system based on partition electricity price

CN122114558APending Publication Date: 2026-05-29LISHUI POWER SUPPLY COMPANY OF STATE GRID ZHEJIANG ELECTRIC POWER
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Patent Information

Application Number
CN202610569806.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-28
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, electricity price dispatch strategies have failed to effectively guide the actual operation and control of the distribution network, resulting in insufficient local consumption of renewable energy, an inability to flexibly respond to dynamic changes in electricity demand and supply, and impacting the dispatch efficiency of the distribution network and the access capacity of renewable energy.

Method used

By using a zoned electricity price-based optimization method, an improved gray wolf algorithm is used for zoned division. A zoned electricity price optimization model is constructed by combining reinforcement learning ideas. The regional electricity price is adjusted to optimize load demand, maximize the value of cross-regional power transmission and minimize the cost of curtailment, thereby achieving optimized load regulation.

Benefits of technology

It has improved the dispatch efficiency of the distribution network and the local consumption capacity of renewable energy, ensuring the efficient access and consumption of renewable energy, and improving the stability and economy of power grid operation.

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Abstract

The application relates to the technical field of power distribution network operation optimization, and provides a power distribution network operation optimization method and system based on zoned electricity prices, which comprises the following steps: performing regional division according to the line topology of a target power distribution network and day-ahead prediction data to obtain a regional division result; processing the day-ahead prediction data and time-of-use electricity price data according to the regional division result to obtain zoned day-ahead prediction data and zoned time-of-use electricity price data; performing operation state analysis based on a zoned electricity price optimization model according to the regional division result, the zoned day-ahead prediction data and the zoned time-of-use electricity price data to obtain a zoned electricity price adjustment strategy; and performing load optimization regulation and control on the target power distribution network according to the zoned electricity price adjustment strategy. The application can adjust the load demand regulation and optimization mechanism of the regional electricity price based on the operation state of the power distribution network, improve the dispatching efficiency of the power distribution network, ensure the efficient access and local consumption of renewable energy, and further improve the stability of power grid operation.
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Citation Information

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