An Improved NSGA-III Algorithm for Optimal Power Dispatch with Power Flow Constraints
Author:
Affiliation:
1. Nanjing University of Posts and Telecommunications,Institute of Advanced Technology for Carbon Neutrality,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10326447/10326467/10326616.pdf?arnumber=10326616
Reference22 articles.
1. Multi Objective Optimal Dispatching of Microgrid Considering Multiple Random Variables Based on Improved NSGA-III
2. A VND Enhanced NSGA-III Algorithm for Solving Multi-Objective Robotic Cell Scheduling Problem
3. An Improved Version of a Many-objective Evolutionary Algorithm based on Non-dominated Decomposed Sets (MEANDS-II)
4. Fuzzy Inference NSGA-III Algorithm-Based Multi-Objective Optimization for Switched Reluctance Generator
5. Pbi based multi-objective optimization via deep reinforcement elite learning strategy for micro-grid dispatch with frequency dynamics;zhang;IEEE Transactions on Power Systems,2022
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