Demand Response Based Wind Power Incorporated Optimal Power Flow – An Economic Analysis

Abstract

Several literature reports are available on energy storage and wind power system and is concerned on  generation side units joint scheduling optimization. Load distribution characteristics is changed during demand side response (DP) in which it is described as the variation of electrical usage from normal consumption patterns based on variation in electricity prices over time. In this research work, wind storage and energy systems along with demand response are modeled in the deregulated environment. Recent market strategies such as demand response, bidding and locational marginal pricing (LMP), are contemplated for generation scheduling under deregulated environment. ACOPF is used to calculate LMP. The economic load model is developed by considering the elasticity market price from its calculated LMP. The various DR programs like direct load control, critical peak pricing, real time pricing, time of use and capacity market programs are considered during this study. The load curve is shaped and peak demand is also reduced using different above mentioned programs. The shaped load curves are further used for economic allocation of generators and it decreases congestion in the lines and generation cost. Furthermore, the simulation is done by Shuffled Frog Leap Algorithm (SFLA) and further it is tested on IEEE 30 bus system.