Multi-Scenario Stochastic Optimal Scheduling for Power Systems With Source-Load Matching Based on Pseudo-Inverse Laguerre Polynomials

Multi-Scenario Stochastic Optimal Scheduling for Power Systems With Source-Load Matching Based on Pseudo-Inverse Laguerre Polynomials

In the optimization scheduling of power systems containing renewable energy, to ensure that the scheduling results have higher security and better economy, this study proposes a multi-objective forecasting, scenario generation, and decision scheduling integrated stochastic optimal scheduling method....

Full description

Saved in:
Bibliographic Details
Main Authors: Jiahao Ye, Lirong Xie, Lan Ma, Yifan Bian, Chuanshi Cui
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Laguerre polynomial
pseudo-inverse learning
forecasting
hybrid multi-objective Runge-Kutta algorithm
stochastic optimal scheduling
Online Access:https://ieeexplore.ieee.org/document/10332154/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10332154/

Similar Items