In this paper, impacts of various uncertainties such as random outages of generating units and transmission lines, forecasting errors of load demand and wind power, in the presence of Demand response (DR) programs on power generation scheduling are studied. The problem is modelled in the form of a two-stage stochastic unit commitment (UC) which by solving it, the optimal solutions of UC as well...

The operation planning problem encounters several uncertainties in terms of the power system’s parameters such as load, operating reserve and wind power generation. The modeling of those uncertainties is an important issue in power system operation. The system operators can implement different approaches to manage these uncertainties such as stochastic and fuzzy methods. In this paper, new ...

Abstract This paper evaluates the economic impact of short-term and long-term energy storage capacity on power system operation cost. First, unit commitment (UC) model with comprising a year-round hourly simulation is established to minimize optimal By introducing convex hull original feasible region decision variables, integer variables in UC are relaxed as continuous transforming problem line...

The paper deals with the solution of the optimal short-term unit commitment (UC) problem in an electric power system. The optimization model takes into account the main operating constraints and physical characteristics of the power generation system. A comparison between Lagrangian heuristics and Tabu Search techniques on different classes of realistic instances is presented. Such a comparison...

In this paper we address the problem of frequency stability in unit commitment (UC) optimisation process. We include a set appropriately defined constraints UC formulation for operational planning scenarios advance real-time operation. Consequently, cover system against loss largest infeed under N−1 security criterion.The main contribution our work consists using method separable programming to...

The inertia of the power system currently lies in a relatively narrow range. However, increasing penetration distributed energy resources (DERs) will significantly reduce level, meanwhile its volatility. This affect system’s ability to contain maximum frequency excursion and recover from large disturbances. In order maintain security stability, common practice is incorporate constraints into un...

Leveraging the current generation of quantum devices to solve optimization problems practical interest necessitates development hybrid quantum-classical (HQC) solution approaches. In this paper, a multi-cut Benders decomposition (BD) approach that exploits multiple feasible solutions master problem (MP) generate valid cuts is adapted, so as be used an HQC solver for general mixed-integer linear...

This paper proposes a novel deterministic optimization approach for the Unit Commitment (UC) problem, involving thermal generating units. A mathematical programming model is first presented, which includes all the basic constraints and a set of binary variables for the on/off status of each generator at each time period, leading to a convex mixed-integer quadratic programming (MIQP) formulation...

We devise a multiple (concurrent) commitment scheme operating on large messages. It uses an ideal global setup functionality in a minimalistic way. The commitment phase is non-interactive. It is presented in a modular way so that the internal building blocks could easily be replaced by others and/or isolated during the process of design and implementation. Our optimal instantiation is based on ...

Generator maintenance scheduling (GMS) determines the outage periods of generating units in a oneyear or two-year planning horizon for regular safety inspection. This paper introduces a new practical GMS for centralized electrical power systems in which, in contrary to previous studies, the outage periods are scheduled based on operational hours of units. Predefined minimum and maximum operatin...