Homa Rashidizadeh-Kermani

TL;DR: This study presents a novel stochastic model from a microgrid (MG) operator perspective for energy and reserve scheduling considering risk management strategy to determine the optimal scheduling with considering risk aversion and system frequency security to maximise the expected profit of operator.

TL;DR: This article addresses the optimal bidding strategy problem of a virtual power plant participating in the day-ahead (DA), real-time (RT) and spinning reserve (SR) markets (SRMs) and demonstrates the effectiveness of the proposed scheduling strategy and its operational advantages and the computational effectiveness.

TL;DR: In this problem, bidding strategy of the WPP in a competitive electricity market and also its participation to supply demand response and electric vehicle aggregators is determined to achieve the maximum profit to control the profit variability due to the uncertainties of loads.

TL;DR: A stochastic risk-constrained framework is proposed for short-term optimal scheduling of autonomous microgrids to evaluate the influence of demand response (DR) programs on reliability and economic issues, simultaneously.

TL;DR: A risk-based stochastic framework is presented for short-term energy and reserve scheduling of a virtual power plant (VPP) considering demand response (DR) participation to maximize the VPP’s profit considering uncertainties of loads, wind energy and electricity prices as well as N-1 contingencies.