For achieving the European renewable electricity targets, a significant contribution is foreseen to come from offshore wind energy. Considering the large scale of the future planned offshore wind farms and the increasing distances to shore, grid integration through a transnational DC network is desirable for several reasons. This article investigates a nine-node DC grid connecting three norther...

The Optimal Power Flow (OPF) problem can be reformulated as a nonconvex Quadratically Constrained Quadratic Program (QCQP). There is a growing body of work on the use of semidefinite programming relaxations to solve OPF. The relaxation is exact if and only if the corresponding optimal solution set contains a rank-one matrix. In this paper, we establish sufficient conditions guaranteeing the non...

This paper proposes an Optimal Power Flow (OPF) algorithm by Direct Load Control (DLC) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. The cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with DLC programs. The load curtailment cost is based ...

This paper presents a proposal for a new upgrade that will incorporate power electronics experiments in the electric machines lab at Oklahoma State University (both Stillwater and Tulsa campuses). We will introduce a general lab setup which includes digital data acquisition (DAQ) and virtual instrumentation. The application of 3 inverters will be discussed with our lab setup. The installation o...

In a deregulated electricity market, CM is one of the key functions of a System Operator (SO) as congestion threatens system security and may cause rise in electricity price resulting in market inefficiency. Rescheduling generations and demands is an effective tool to relieve congestion. This paper presents a congestion management (CM) algorithm by optimal rescheduling of active powers of gener...

This paper presents solution of optimal power flow (OPF) problem of a power system via an Ant Colony Optimization Meta-heuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting a...

An Enhanced genetic algorithm (EGA) which is used to the solution of the optimal load flow (OPF) with both continuous and discrete control variables. The tenuous control variables modeled are unit active power outputs and generator–bus voltage magnitudes while the discrete ones are transformer – tap settings and switchable shunt devices. A number of functional operating constraints, such as bra...

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...

In this paper we describe an Interior Point Method (IPM) to solve large scale NonLinear Programming (NLP) problems, tailored to the solution of a specialized Optimal Power Plow (OPF) formulation that uses bus voltages in rectangular coordinates. The distinctive feature of this OPF formulation is that the objective function and constraints are quadratic functions, and such quadratic properties a...

This paper aims at providing a solution to optimum power flow (OPF) in considered power systems by using a flexible genetic algorithm (GA) model. The proposed approach finds the optimal setting of OPF control variables which include generator active output, generator bus voltages, transformer tap-setting and shunt devices with the objective function of minimizing the fuel cost. The proposed GA ...