We present a class of linear programming approximations for constrained optimization problems. In the case of mixed-integer polynomial optimization problems, if the intersection graph of the constraints has bounded tree-width our construction yields a class of linear size formulations that attain any desired tolerance. As a result, we obtain an approximation scheme for the “AC-OPF” problem on g...

In this paper, a security constrained optimal power flow (SCOPF) is developed including the flexible AC transmission systems (FACTS) devices for the economic and secure operation of power systems. FACTS devices are used to control the active and reactive power variables as well as the voltages and to reduce the flow of a congested line. In this paper, Thyristor Controlled Series Capacitor (TCSC...

In this paper we propose an approach based on Online Feedback Optimization (OFO) controller with grid input–output sensitivity estimation for real-time operation, e.g., at subsecond time scales. The OFO uses measurements as feedback to update the value of controllable elements in grid, and track solution a time-varying AC Optimal Power Flow (AC-OPF). Instead relying full model, admittance matri...

Recently some CBIR approaches have shown the use of relevance feedback to train a pattern classifier to select relevant images for retrieval. This paper revisits this strategy by using an optimum-path forest (OPF) classifier. During relevance feedback iterations, the proposed method uses the OPF classifier to decide which database images are relevant or not. Images classified as relevant are so...

In this paper we present some theoretical results of the possibilities for controlling a given chaotic system using the (occasional proportional feedback) OPF method. It is usually claimed that the OPF method can be used only if the return map is almost one{dimensional and that the OPF control lacks a theoretical background for the choice of the feedback gain. We show how to nd the gain value f...

Multi Objective Optimal Power Flow including FACTS technology is one of the most important issues in power system planning and control. In this paper Artificial Intelligence techniques are used to solve the Multi Objective Optimum Power Flow incorporating FACTS devices with valve point effect. In this paper two objectives loss minimization and minimum voltage deviation are taken into considerat...

This Article Develops a Novel Multi-Microgrids (MMGs) Participation Framework in the Day-Ahead Energy and Ancillary Services, i.e. Services of Reactive Power Reserve Regulation, Markets Incorporating Smart Distribution Network (SDN) Objectives Based on Two-Layer Management System (PMS). A Bi-Level Optimization Structure Is Introduced Wherein Upper Level Models Optimal Scheduling SDN Presence MM...

A fresh attempt has been made to develop a new algorithm for optimal power flow (OPF) using Fletcher's quadratic-programming method. The new algorithm considers two decoupled subproblems needing minimum cost of generation and minimum system-transmission losses. These have been solved sequentially to achieve optimal allocation of real and reactive power generation and transformer tap settings wi...

Electric power systems (EPS) are exposed to disconnections of their elements, such as transmission lines and generation units, due meteorological factors or electrical failures. Thus, this research proposes a smart methodology for the re-entry elements that have been disconnected from EPS unforeseen events. This is based on optimal AC flows (OPF-AC) which allow verifying state variables voltage...

This study proposes an algorithm to allocate different types of flexible AC transmission system (FACTS) in power systems. The main objective this is maximize profit by minimizing the system’s operating cost including FACTS devices (FDs) installation cost. Dynamic and steady state restrictions with loads uncertainty are included problem formulation. overall solved using both teaching learning ba...