An Optimization Framework for Collaborative Control of Power Loss and Voltage in Distribution Systems With DGs and EVs Using Stochastic Fuzzy Chance Constrained Programming

An Optimization Framework for Collaborative Control of Power Loss and Voltage in Distribution Systems With DGs and EVs Using Stochastic Fuzzy Chance Constrained Programming

A stochastic fuzzy chance-constrained programming model with multi-objective optimization for coordinated control of power loss and voltage in distribution systems with renewable energy is presented by taking power output of DGs and charging-discharging power of EVs as random fuzzy variables and loa...

Full description

Bibliographic Details
Main Authors: Tang Huiling, Wu Jiekang, Wu Fan, Chen Lingmin, Liu Zhijun, Yan Haoran
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Distribution system with renewable energy
fuzzy collaborative control of power loss and voltage
non-dominated sorting genetic algorithm with normal distribution crossover
distributed generation
controllable load
electric vehicle
Online Access:https://ieeexplore.ieee.org/document/9016036/

Internet

https://ieeexplore.ieee.org/document/9016036/

Similar Items