New energy regional distribution network reactive power partition optimization method, system, device and medium

CN116961098BActive Publication Date: 2026-07-24CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD
Filing Date
2023-07-24
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

The high proportion of distributed photovoltaic access increases the difficulty of reactive power optimization and control of the power grid. Traditional static zoning methods cannot meet the power grid control requirements, and the randomness and volatility of new energy power generation affect the safe and stable operation of the power grid.

Method used

A reactive power zoning optimization method for new energy regional distribution networks is adopted. The active power of photovoltaic power is predicted by the GRU-Trans model, and the reactive power of bus and feeder sections is optimized by combining the PSO optimization algorithm. The flexible resources of photovoltaic power and reactive power are used for zoning control to meet the reactive power optimization needs of the power grid.

Benefits of technology

It enables real-time and rapid reactive power optimization of complex power distribution networks, reduces the impact of randomness and volatility of new energy power generation on the power grid, and improves the safety and stability of the power grid and the utilization efficiency of reactive power resources.

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Abstract

The application discloses a new energy regional power distribution network reactive power partition optimization method, system, equipment and medium, obtains the adjustable range of the reactive power resources that each node in a pre-established power distribution network model can provide, and partitions the power distribution network into bus intervals and a plurality of feeder intervals; based on the adjustable range of the reactive power resources that each node can provide, the reactive power of the bus intervals is optimized, the reactive power control objective function of the bus is solved, and the optimization result on the bus is obtained; based on the optimization result on the bus, the reactive power of the feeder intervals is optimized, the reactive power control objective function of each feeder is solved, and the optimization result on the feeder is obtained; the optimization result on the bus and the optimization result on the feeder are taken as the input of the power distribution network model, the network power flow condition is calculated, if the network power flow condition meets the preset constraint condition, the final optimization result is obtained, otherwise, the reactive power optimization and the network power flow condition calculation are repeated until the final optimization result is obtained.
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