The AC Optimal Power Flow (OPF) problem is a fundamental problem in power systems engineering which has been known for decades. It is a notoriously hard problem due mainly to two reasons: (1) non-convexity of the power flow constraints and (2) the (possible) existence of discrete power injection constraints. Recently, sufficient conditions were provided for certain convex relaxations of OPF to ...

To shift the computational burden from real-time to offline in delay-critical power systems applications, recent works entertain idea of using a deep neural network (DNN) predict solutions AC optimal flow (AC-OPF) once presented load demands. As topologies may change, training this DNN sample-efficient manner becomes necessity. improve data efficiency, work utilizes fact OPF are not simple labe...

The efficient solution of the AC optimal power flow (OPF) for all cases and electrical grids is not guaranteed. Heuristics, approximations relaxations have been proposed aplenty, each with pros cons. This work proposes to solve OPF binary decision trees (BDTs). starts full feasible set an instance, and, iteratively, BDTs tighten constraints/bounds that set, improve occurring by median objective...

In this paper, a hybrid evolutionary algorithm (HEA) is proposed to determine the optimal placement of multi-type flexible AC transmission system (FACTS) devices to simultaneously maximize the total transfer capability (TTC) and minimize the system real power loss of power transfers in deregulated power systems. Multi-objective optimal power flow (OPF) with FACTS devices including TTC, power lo...

In this paper, the new hybrid particle swarm optimization (hybrid-PSO) based on particle swarm optimization (PSO), evolutionary programming (EP), and tabu search (TS) is developed. Hybrid-PSO is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for simultaneously maximizing the power transfer capability of power transactions between g...

In this paper, we consider the day-ahead operational planning problem of a radial distribution network hosting Distributed Energy Resources (DERs) including rooftop solar and storage-like loads, such as electric vehicles. We present novel decomposition method that is based on centralized AC Optimal Power Flow (AC OPF) interacting iteratively with self-dispatching DER problems adapting to real r...

Considering aging power system infrastructures in conjunction with increased electricity trading activities, there is a strong need for future investments in electricity grids. Technological progress has made available a number of different investment alternatives, ranging e.g. from “standard” reinforcements of existing transmission capacities to the installation of Flexible AC Transmission Sys...

This thesis is concerned with the development of distributed optimization methods with adaptive step-size control and event-triggered communication, where the focus is on convex optimization problems with either nonseparable objective function but separable constraints or separable objective function but couplings in the constraints. Regarding a practice related application of the developed alg...

This paper is concerned with market-based protocols for relieving congestion caused by transactions outside the control area in which the congestion occurred. One approach, proposed by Cadwalader et al. is based on dual decomposition in which out of area congestion is “priced-out” and added to the optimal power flow (OPF) objective function of the control area operator while the prices are dete...