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Conference papers
A Novel Distributed Particle Swarm Optimization Algorithm for the Optimal Power Flow Problem
Abstract : The distributed optimal power flow problem is addressed. No assumptions on the problem cost function, and network topology are needed to solve the optimization problem. A distributed particle swarm optimization algorithm is proposed, based on Deb's rule to handle hard constraints. Moreover, the approach enables to treat a class of distributed optimization problems in which the agents share a common optimization variable. Under mild communication assumptions, agents are only required to know local variables, cost function, and constraints to solve a common optimization problem. A simulation example is provided, based on a 5-bus electric grid.
Cited literature [19 references]
https://hal-centralesupelec.archives-ouvertes.fr/hal-01667868
Contributor : Guillaume Sandou <>
Submitted on : Tuesday, December 19, 2017 - 4:05:14 PM
Last modification on : Saturday, May 1, 2021 - 3:46:37 AM
Contributor : Guillaume Sandou <>
Submitted on : Tuesday, December 19, 2017 - 4:05:14 PM
Last modification on : Saturday, May 1, 2021 - 3:46:37 AM
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