Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch

Vale, Zita; Ramos, Carlos; Faria, Pedro; Soares, João; Canizes, Bruno; Teixeira, Joaquim; Khodr, H. M.

http://hdl.handle.net/10400.22/1562

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Authors

Vale, Zita

Ramos, Carlos

Faria, Pedro

Soares, João

Canizes, Bruno

Teixeira, Joaquim

Khodr, H. M.

Abstract(s)

This paper proposes two meta-heuristics (Genetic Algorithm and Evolutionary Particle Swarm Optimization) for solving a 15 bid-based case of Ancillary Services Dispatch in an Electricity Market. A Linear Programming approach is also included for comparison purposes. A test case based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is used to demonstrate that the use of meta-heuristics is suitable for solving this kind of optimization problem. Faster execution times and lower computational resources requirements are the most relevant advantages of the used meta-heuristics when compared with the Linear Programming approach.

Keywords

Artificial intelligence techniques Ancillary services dispatch Electricity markets Evolutionary particle swarm optimization Genetic algorithm Linear programming