Cost reduction in microgrid using demand response program of loads and uncertainty modeling with point estimation method. (11th December 2019)

• Record Type: Journal Article
• Authors: Rajamand, Sahbasadat
• Is Part Of: International transactions on electrical energy systems. Volume 30:Number 4(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-12-11
• Subjects: demand response -- energy storage system -- point estimation method -- uncertainty modeling -- cost reduction; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/2050-7038.12299
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: Uncertainty in microgrid causes degradation in load supporting and stability of the system. The origin of uncertainty may be from renewable distributed generators (DGs), market price, load demand, and other issues. To compensate for this problem, energy storage system (ESS) and demand response (DR) program are applied in microgrid energy management process. ESS is used as a reserve energy and DR is defined as cooperation of users on demand side of microgrid. DR is done in two forms: one is based on load reduction of users due to the price tariffs called price‐based DR and the second is DR based on incentive payment to customers for load reduction especially in peak times named as incentive‐based DR. In this article, price‐based DR and three types of load as industrial, commercial and house load are considered with three DR features to cooperate in energy management. Moreover, the uncertainty of renewable DGs, market price and load demand are modeled and estimated by point estimation method (PEM). Simulation results are performed in three scenarios including initial battery charge and the possibility of being off‐state of some DGs in stochastic medium with and without DR program and the results are compared in these scenarios. The effect of DR on microgrid cost is investigated using these scenarios where the influence of DR on the total cost reduction is observable in the studied microgrid.