Two-Step Many-Objective Optimal Power Flow Based on Knee Point-Driven Evolutionary Algorithm

Two-Step Many-Objective Optimal Power Flow Based on Knee Point-Driven Evolutionary Algorithm

To coordinate the economy, security and environment protection in the power system operation, a two-step many-objective optimal power flow (MaOPF) solution method is proposed. In step 1, it is the first time that knee point-driven evolutionary algorithm (KnEA) is introduced to address the MaOPF prob...

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Bibliographic Details
Main Authors: Yahui Li, Yang Li
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Processes
Subjects:
optimal power flow
optimal operation
power systems
multi-objective optimization
knee point-driven evolutionary algorithm
decision analysis
best compromise solutions
Online Access:https://www.mdpi.com/2227-9717/6/12/250

Internet

https://www.mdpi.com/2227-9717/6/12/250

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