Smart grid

Electrical engineering

Admittance parameters

Islanding

Demand response

Mathematics

Operating system

Algorithm

Distributed computing

Admittance

Mathematical optimization

Engineering

Voltage

Electrical impedance

Grid

Renewable energy

Electricity

Geometry

Distributed power

Computer science

Mode (computer interface)

Wind power

Distributed generation

Particle swarm optimization

Studying distributed generation admittance capacity of distribution network is of great significance to promote new energy consumption. Considering the uncertainty of wind, solar energy and load, this paper analyzes the wind-solar energy-load time series characteristics by multi-scenario analysis method. Based on the static security constraints and active management constraints of the power grid, this paper establishes the distributed generation admittance capacity calculation model that is considering active management. The improved particle swarm optimization algorithm is used to calculate the model, and the net load rate is introduced to evaluate and analyze the distribution network after accessing the distributed generation. The analysis results show that the distribution network can access more distributed generation under the active management mode with demand response, which effectively reduces the peak-to-valley difference of the system load. This model provides theoretical guidance for the distributed generation configuration of the distribution network.

Distributed generation admittance capacity calculation of distribution network based on multi-scenario analysis and active management