Uncertainty-based Multi-objective Modeling for Short-term Demand Response Program Scheduling in the Presence of Retail Electricity Providers

In this paper, the short-term scheduling for demand response program (DRP) with retail electricity providers (REPs) with light physical assets is proposed. The main contribution is to determine an optimal multi-objective model for these REPs to integrate them into design-model of the incentive-based DRP for retail markets, considering load uncertainties on the locational marginal prices (LMP). Fuzzy logic modeling is used for simulating load uncertainty. Non-dominated sorting genetic algorithm (NSGA-II) is used, due to non-linearity and thus the complexity of the proposed model. A non-linear sorting system based on fuzzy logic is also utilized to find the best compromise among the set of solutions generated by the Pareto-front space. IEEE 24 bus reliability test system is utilized to explain the optimal performance of the proposed approach.

کلیدواژه ها:

Demand Response Program ، Retail Electricity Providers ، Locational Marginal Prices ، Uncertainty ، NSGA-II. ، Demand Response Program ، Retail Electricity Providers ، Locational Marginal Prices ، Uncertainty ، NSGA-II