An ant colony system approach for unit commitment problem-Reference-Cited by-同舟云学术

An ant colony system approach for unit commitment problem

Published:2006-06 Issue:5 Volume:28 Page:315-323
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Simon Sishaj P.,Padhy Narayana Prasad,Anand R.S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference18 articles.

1. Power generation operation and control;Wood,1966

2. Implementation of the unit commitment problem on supercomputers;Mishra;IEEE Trans Power Syst,1994

3. Unit commitment—a bibliographical survey;Padhy;IEEE Trans Power Syst,2004

4. Unit commitment using hybrid models: a comparative study for dynamic programming, expert System, fuzzy System and genetic algorithms;Padhy;Electric Power Energy syst,1994

5. The ant system: optimization by a colony of cooperating agents;Dorigo;IEEE Trans Syst Man Cybern Part B,1996

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method;Energy and AI;2024-05

2. Ant Colony Optimization—Recent Variants, Application and Perspectives;Springer Tracts in Nature-Inspired Computing;2024

3. A new power system active rescheduling method considering the dispatchable plug-in electric vehicles and intermittent renewable energies;Applied Energy;2022-05

4. A parallel meta-heuristic method for solving large scale unit commitment considering the integration of new energy sectors;Energy;2022-01

5. An optimisation model to determine the capacity of a distributed energy resource to contract with a balancing services aggregator;Applied Energy;2022-01