Comparative Analysis of Economic Viability with Distributed Energy Resources on Unit Commitment

Abstract

Classic unit commitment is the important and challenging task of allocating generating units subject to basic constraints over a scheduled time horizon to obtain the least generation cost. Penetration of distributed energy resources in modern power systems makes generation planning more complex. This article presents the individual and combined effect of three distributed energy resources, namely wind power generator as a renewable energy source, plug-in electric vehicles, and emergency demand response program on unit commitment. The inconsistent nature of wind speed and wind power is characterized by the Weibull probability distribution function considering overestimation and underestimation costs of stochastic wind power. The comprehensive comparative analysis of the economic viability on unit commitment is carried out to minimize the total cost of the entire system. To obtain the optimum solution, a modified teaching–learning-based optimization algorithm is used. The IEEE standard ten-unit test system is used for this study. To validate the efficacy of the modified teaching–learning-based optimization algorithm, a 26-unit reliability test system is also considered. It is found that the collective effect of wind power generator, plug-in electric vehicles, and emergency demand response program on unit commitment provides significant reduction in the total cost.

Keywords:

• distributed energy resources
• emergency demand response program
• modified teaching–learning-based optimization algorithm
• plug-in electric vehicles
• teaching–learning based optimization algorithm
• unit commitment problem
• Weibull probability distribution function

Additional information

Notes on contributors

Manisha Govardhan

Manisha Govardhan received her B.E. (electrical) and M.E. (industrial electronics) from Maharaja Sayajirao University of Baroda, India. She is currently pursuing her Ph.D. from the Electrical Engineering Department of S.V. National Institute of Technology, Surat, India. Her areas of interest include power system generation planning, demand response, and gridable vehicles.

Ranjit Roy

Ranjit Roy received his B.E., M.Tech., and Ph.D. from National Institute of Technology, Durgapur, West Bengal, India. At present he is associated with the Electrical Engineering Department of S.V. National Institute of Technology, Surat, India. He has several publications in international and national journals and conferences of repute. His research interests are distribution system planning, operation and control, wind energy, and soft-computing applications to power system.