Method for evaluating photovoltaic bearing capacity of power distribution network based on random power flow

• Main Authors: QIU YANQUN, CAI CHAO, LIU LIGUO, FAN ANJIE, ZHOU XIN, HAN JUN, WANG CHENGLIN
• Format: Patent
• Language: Chinese; English
• Published: 07.11.2023
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY

A power distribution network photovoltaic bearing capacity evaluation method based on stochastic power flow is characterized in that a voltage out-of-limit probability is calculated based on a Monte Carlo sampling method, and power flow constraint, power distribution network safe operation constraint and power distribution network distributed photovoltaic constraint are used as constraint conditions; the method comprises the following steps: constructing an objective function by taking photovoltaic power generation active power maximization and voltage out-of-limit probability and power grid loss minimization as objectives to obtain an evaluation model, and finally judging the photovoltaic bearing capacity of the power distribution network according to whether an objective function value reaches a critical value or not. Compared with a traditional method, the method is accurate in evaluation result, and reliable information can be provided for popularization and application of distributed photovoltaic in the