Medium-Term Operational Planning for Hydrothermal Systems

Gonçalves, Raphael E. C.; Gendreau, Michel; Finardi, Erlon Cristian

doi:10.1007/978-1-4614-9035-7_6

Cited by 1 publication

(1 citation statement)

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“…In [13], a robust optimisation‐based technique was proposed for solution of hydro–thermal scheduling considering market price uncertainties in a deregulated environment. The mid‐term operation scheduling of hydro–thermal systems is solved in [14] considering the uncertainties of reservoir inflows. Long‐term hydro–thermal scheduling is solved in [15] using stochastic programming method considering transmission line constraints.…”

Section: Introductionmentioning

confidence: 99%

Real coded genetic algorithm approach with random transfer vectors‐based mutation for short‐term hydro–thermal scheduling

Haghrah

Mohammadi‐Ivatloo

Seyedmonir

2015

IET Generation, Transmission & Distribution

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The short-term hydro-thermal scheduling involves scheduling of hydro and thermal generations to minimise the fuel cost of thermal plants in a horizon of planning time while meeting various hydraulic and electric system constraints. The problem is considered as a non-linear and non-convex problem involving valve-points effects and transmission losses with a set of equality and inequality constraints. In this study, a novel promising approach is represented with an innovated mutation method utilising genetic algorithm (GA). The proposed real coded GA approach with random transfer vectors-based mutation (RCGA-RTVM) is applied to two test systems with different characteristics. The effectiveness of the proposed RCGA-RTVM is validated by the obtained results. Comparison of the obtained results with recently developed methods shows the superiority of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%