An enhanced multi‐objective differential evolution algorithm for dynamic environmental economic dispatch of power system with wind power
Abstract Dynamic environmental economic dispatch (DEED) with wind power is an important extension of the classical environmental economic dispatch (EED) problem, which could provide reasonable scheduling scheme to minimize the pollution emission and economic cost at the same time. In this study, the...
Main Authors: | Yingjie Bai, Xuedong Wu, Aiming Xia |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
|
Series: | Energy Science & Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1002/ese3.827 |
Similar Items
-
Economic and Emission Dispatch Using Ensemble Multi-Objective Differential Evolution Algorithm
by: Xiaobing Yu, et al.
Published: (2018-02-01) -
Dynamic Power Dispatch Considering Electric Vehicles and Wind Power Using Decomposition Based Multi-Objective Evolutionary Algorithm
by: Boyang Qu, et al.
Published: (2017-12-01) -
Adaptive Range Composite Differential Evolution for Fast Optimal Reactive Power Dispatch
by: Ming Niu, et al.
Published: (2021-01-01) -
Robust Optimization for Dynamic Economic Dispatch Under Wind Power Uncertainty With Different Levels of Uncertainty Budget
by: Huifeng Zhang, et al.
Published: (2016-01-01) -
Reinforcement-Learning-Based Multi-Objective Differential Evolution Algorithm for Large-Scale Combined Heat and Power Economic Emission Dispatch
by: Chen, X., et al.
Published: (2023)