Water and Energy International
SCOPUS
  • Year: 2012
  • Volume: 69
  • Issue: 11

Operation of wind and pumped storage plant under deregulated environment

  • Author:
  • Javed Dhillon, Arun Kumar, S. K. Singal
  • Total Page Count: 5
  • Page Number: 30 to 34

Alternate Hydro Energy Centre, Indian Institute of Technology Roorkee, Roorkee

Online published on 28 August, 2013.

Abstract

To improve the competiveness in the energy market, It is required that the wind power plants provide guaranteed power generation but it is not possible to predict output availability of wind power plant accurately. So combined operation of wind and pumped storage plant is required to improve the generated power quality as well as to increase the market profit. This paper deals with a mixed integer type problem whose aim is to find the optimal scheduling of the pumped storage plant, for a short term period to reduce the market imbalance provided by wind power plant. In this strategy, wind power output data has been forecasted for day-ahead market. The various imbalances in the forecasted data and the market demand have been reduced by operating the pumped storage plant in generating and pumping mode. Penalty factor has been considered in objective function, which is working as a tool for reducing the market imbalance. In this approach, it has been found that the pumping done by the pumped storage plant is normally when the market price is low. One of additional advantage of this approach is that it tries to keep the initial and final reservoir level constant so that it can be easily utilized for next day scheduling. This paper provides the two case studies to prove the optimality of the solution. In 1st case study the pumped storage plant run at its maximum capacity during pumping mode, where as in the second case pumping is provided at two different capacity, i.e., half and full which further reduced the market imbalances. Complete approach has been developed and implemented using AMPL.

Keywords

Wind Energy, Pumped Storage, Optimal Scheduling, Optimization, Deregulated Market