Robust performance of photovoltaic/wind/grid based large electricity consumer

In this paper, a new optimization framework has been developed for optimal operation of large industrial consumer under time-of-use rate (TOU) of demand response program (DRP) considering pool market price uncertainty. In order to model mentioned uncertainty, interval optimization method has been implemented. Based on this approach, a bi-objective optimization problem with average and deviation costs as objective functions is generated to be minimized instead of a single objective function. So, the bi-objective problem is solved using weighted sum and fuzzy satisfying algorithms. In addition to mentioned algorithms, large consumer able to use TOU of DRP to be capable of shifting its demand from expensive intervals to off-peak intervals which can lead to reduce operating cost of large consumer. A sample model is simulated under GAMS optimization software within uncertainty of pool market price through mentioned algorithms and the results obtained from simulations revealed that in the case DRP is ignored by increasing average cost up to 4.32%, large consumer deviation cost representing uncertain of pool price has been reduced down to 87.22%. Moreover, in the case TOU is employed large consumer has paid 4.21% more to reduce uncertainty effect up to 85.43%.