The high penetration of uncertain resources challenges the security power system operation. By taking impact rescheduling under contingencies into consideration, reliability-constrained unit commitment (RCUC) is developed to address this challenge. Although several efforts have been made in modelling reliability constraints, existing methods can only manage oversimplified low-order temporal-ind...

The increasing penetration of distributed energy resources (DERs) will decrease the rotational inertia power system and further degrade frequency stability. To address above issues, this paper leverages advanced neural network (NN) to learn dynamics incorporates NN facilitate reliable operation. This proposes conservative sparse (CSNN) embedded frequency-constrained unit commitment (FCUC) with ...

The short-term unit commitment and reserve scheduling decisions are made in the face of increasing supply-side uncertainty in power systems. This has mainly been caused by a higher penetration of renewable energy generation that is encouraged and enforced by the market and policy makers. In this paper, we propose a two-stage stochastic and distributionally robust modeling framework for the unit...

This paper presents a mixed-integer linear programming (MILP) formulation for sizing and siting of battery energy storage systems (BESSs). The problem seeks to minimize both operation costs BESS investment. proposed model includes restrictions the conventional security-constrained unit commitment problem, piece-wise approximation power losses, hydro generation units. is tested in 6-bus test sys...

In this paper, the impacts of an incentive-based Demand Response, i.e., Ancillary Service DR (ASDR), and a price-based DR, i.e., Time of Use (ToU), are revealed in a restructured power system which has some wind farms. This network is designed based on the pre-emptive market which is a day-ahead market with a balancing market prognosis. It is a proper mechanism to deal with the stochastic natur...

This paper proposes a stochastic optimization model for the day-ahead scheduling in power systems, which incorporates the hourly demand response (DR) for managing the variability of renewable energy sources (RES). DR considers physical and operating constraints of the hourly demand for economic and reliability responses. The proposed stochastic day-ahead scheduling algorithm considers random ou...