Fuzzy coordination control calculation method for reactive power compensation system of power distribution network in DG and EV environments

Abstract

The invention relates to the technical field of power systems and automation thereof, in particular to a fuzzy coordination control calculation method for a reactive power compensation system of a power distribution network in DG and EV environments. The method comprises the following steps: calculating a working temperature; calculating a working open-circuit voltage, a short-circuit current anda filling coefficient; calculating output voltage and output power; calculating the output power of the wind turbine generator; setting a target function of collaborative optimization control; considering conditions required to be met by the safe and stable operation of the power grid; introducing a fuzzy decision-making method based on a fuzzy set theory to solve the uncertainty problem caused bynew energy power generation and load fluctuation; fuzzifying a multi-objective function of the power distribution network reactive power compensation system cooperatively scheduled by DG and the EV into a single-objective membership function; and solving the multi-objective optimization model by adopting a MATLAB simulator and utilizing a fuzzy power flow calculation method to obtain an operationstrategy of a decision variable. And two indexes including stability and economy of the power grid are improved.

Description

technical field [0001] The invention relates to the technical field of electric power systems and automation thereof, and more particularly, to a fuzzy coordinated control calculation method of a reactive power compensation system of a distribution network in DG and EV environments. Background technique [0002] The use of new energy is increasing in the power system structure, which means that there will be a certain scale of distributed generation (DG) and electric vehicles (Electric Vehicle, EV) in the distribution network system. enter. The reactive power optimization technology of the distribution network can not only improve the power quality from the voltage level, but also effectively reduce the active power network loss of the system, and realize the safety and stable operation requirements of the power system. Considering the uncertainty of the grid-connected power of new energy power generation systems (photovoltaic and wind power) due to environmental changes an...

AI Technical Summary

Problems solved by technology

[0006] Disadvantages of the existing technology: the goal of reactive power optimization is to adjust the reactive power output of the reactive power source so that the voltage quality of the power grid is qualified and reduce the active power network loss at the same time

[0007] Considering that each node is located in different geographical areas, the uncertainty of wind...

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