M. Parsa Moghaddam

TL;DR: In this paper, the authors proposed an economic model of incentive-based and time-based demand response (DR) programs for the Iranian power system, and evaluated the impact of these programs on load shape and load level, and benefit of customers as well as reduction of energy consumption.

TL;DR: A review of the state-of-the-art of researches which use HOMER for optimal planning of hybrid renewable energy systems is presented in this paper, where the authors present the most powerful tools for this purpose is Hybrid Optimization Model for Electric Renewables (HOMER) software that was developed by National Renewable Energy Laboratory (NREL).

TL;DR: In this article, an extended responsive load economic model is developed based on price elasticity and customer benefit function, which is used for selecting and prioritizing demand response (DR) programs.

TL;DR: In this paper, the authors defined, classified and discussed the latest flexibility treatments in power system based on a comprehensive literature study, and specifically considered the abilities, barriers, and inherent attributes of power systems' potential to deal with high integration of Variable Generations (VGs) in future flexible power systems.

TL;DR: In this paper, an economic model of price/incentive responsive loads is derived based on the concept of flexible price elasticity of demand and customer benefit function, and the proposed model together with the strategy success index (SSI) has been applied to provide an opportunity for major players of the market, i.e., independent system operator, utilities and customers to select their favorite programs that satisfy their desires.