The goal of retailer in electricity market environment is to provide the required amount of electricity to consumers.Based on this,retailer focused on the maximization of profit and minimization of potential risk factors caused by uncertainties of wholesale market and load consumption.However,at the same time consumer is focused on the minimization of electricity costs.These factors formed the necessarily of development the optimization strategy for two levels:retailer and consumer.The main direction of this research is the development of an optimal strategy and methodology for load regulation in a market environment,as well as optimization of the retailer’s profit.Proposed methodology allows solving the main tasks for both sides of the market participants:for the retailer and for the consumer,since one of them will be able to maximize its own profit while minimizing the cost of purchasing electricity from the other.This complex optimization problem is solved by developed short-term retailer optimization strategy with implementation of distribution energy resources(DER).The effectiveness of this strategy is proven by calculation and modeling for the real electricity market.In thesis,distributed energy sources are considered as distributed generators(DG).DG represents as the most available source of energy in considered electricity market.However,the developed methodology is common and includes the possibility of using any sources of distributed generation.This fact allows apply proposed methodology in any electricity market environment.Also,suggested methodology includes the possibility of applying a demand response program.It is achieved by implementation of demand response program that allows minimizing the consumer’s electricity costs.Applying the DER allows implement the load regulation and demand response program approaches for consumers,reduce risk factor for retailer and maximize its profit. |