A direct current power distribution network voltage partitioning method and apparatus
CN116014743BActive Publication Date: 2026-07-03ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD +2
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ELECTRIC POWER RES INST CHINA SOUTHERN POWER GRID CO LTD
- Filing Date
- 2022-12-02
- Publication Date
- 2026-07-03
AI Technical Summary
Technical Problem
Existing DC distribution network voltage zoning methods ignore some constraints, resulting in high energy storage voltage regulation costs and insufficient voltage control speed.
Method used
By combining the constraints of energy storage, obtaining the distribution network topology and power flow control parameters, using Monte Carlo simulation to generate stochastic scenarios, calculating the voltage sensitivity coefficient, and constructing a mixed integer linear programming model to optimize the energy storage voltage partitioning.
Benefits of technology
Under constraints, we aim to reduce the cost of energy storage voltage regulation, improve the speed of voltage control, and enhance the rationality of system voltage levels.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116014743B_ABST
Abstract
This invention discloses a method and apparatus for voltage zoning in a DC distribution network. The method includes: calculating the voltage sensitivity coefficient of power to voltage for all nodes in the DC distribution network; generating a certain number of random scenarios using Monte Carlo simulation based on a random distribution model of load and distributed power output, and calculating the power flow data of the random scenarios; constructing an optimized zoning model for energy storage voltage zoning control by combining the voltage sensitivity coefficients of power to voltage for all nodes in the DC distribution network and the constraints in the distribution network topology, with the goal of minimizing the total charging and discharging power of energy storage; and solving the optimized zoning model for energy storage voltage zoning control using mixed integer linear programming based on the random scenarios and the power flow data to obtain the node range for energy storage voltage regulation in the DC distribution network. This method ensures a reasonable system voltage level while reducing the cost of energy storage voltage regulation, based on fully considering the constraints of each energy storage system.
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