COMBINED HEAT AND POWER PLANTS SCHEDULING BY THE IMPLEMENTATION OF GREY WOLF OPTIMIZER

R. Saravanan ； S. Sooriya Prabha

《電機工程學刊》 28卷4期 (2021/08) Pp. 113-122

https://doi.org/10.6329/CIEE.202108_28(4).0002

摘要

Progression of combined heat and power plants (CHPPs) necessitate in the context of power generation as to satisfy the electricity generation and environmental constraints. The ability of CHPPs yield both heat and electrical energy thenceforth the optimal unit commitment (UC) for such plants impose upright principle of ideal commitment. In this paper meta heuristics algorithm of grey wolf optimizer (GWO) implements to resolve the complicated UC for CHPPs. The proposed module examined over the trial models of 7, 24 and 48 units systems. The period of scrutiny is to be a year of months encompasses of diverse electrical demand and transmission loss respectively. This need of electricity requirement is to be fulfilled by the futured algorithm. Besides the outcomes of GWO correlate with the consequences of time varying acceleration coefficients particle swarm optimization (TVAC-PSO) algorithm for the acknowledged test systems.

關鍵字

Combined heat and power plants ； Grey wolf optimizer ； Unit commitment

參考文獻

Rooijers and van Amerongen, “Static economic dispatch for cogeneration systems.,” IEEE Trans Power Syst., vol.9, no.3, pp.1392–1398, 1994.

Guo, Henwood and van Ooijen., “An algorithm for heat and power dispatch,” IEEE Trans. Power Syst., vol.11, no.4, pp.1778-1784, 1996.

Chang and Fu, “Stochastic multi-objective genera- tion dispatch of combined heat and power systems,” IEE Proc-Gen Trans Distrib., vol.145, no.5, pp.583- 591, 1998.

Song, Chou and Stonham, “Combined heat and power dispatch by improved ant colony search al- gorithm,” Elect. Power Syst. Res., vol.52, pp.115- 121, 1999.

Wong and Algie, “Evolutionary programming ap- proach for combined heat and power dispatch,” Elect. Power Syst. Res., vol.61, pp.227–232, 2002.