With increasingly large scale of intermittent and non-dispatchable resources being integrated into power systems, the power flow problem presents greater uncertainty. In order to obtain the upper and lower bounds of power flow solutions including voltage magnitudes, voltage angles and line flows, Cartesian coordinates-based power flow is utilized in this paper. A quadratically constrained quadratic programming (QCQP) model is then established to formulate the interval power flow problem. This non-convex QCQP model is relaxed to linear programming problem by introducing convex and concave enclosures of the original feasible region. To improve the solutions bounds while still encompassing the true interval solution, optimality-based bounds ti...
Optimal power flow (OPF) is a key problem in power system operations. OPF problems that use the nonl...
Research Doctorate - Doctor of Philosophy (PhD)This thesis investigates of the structure and solutio...
In this paper we describe an Interior Point Method (IPM) to solve large scale NonLinear Programming ...
Power flow exhibits uncertainty when power injections randomly fluctuate. The variables of power flo...
Abstract Optimal power flow (OPF) has been used for energy dispatching in active distribution networ...
International audienceOptimal Power Flow (OPF) can be modeled as a non-convex Quadratically Constrai...
preprintIn this paper, we consider the optimal power flow (OPF) problem which consists in determinin...
AC optimal power flow (AC OPF) is a challenging non-convex optimization problem that plays a crucial...
The power flow equations model the relationship between the voltages phasors and power flows in an e...
Optimal power flow (OPF) is a central problem in the operation of electric power systems. An OPF pro...
Many applications in modern distribution management systems (DMS) need the support of robust and rel...
With higher penetration of renewable generation and market liberalization, operating points of elect...
The optimal power flow (OPF) problem is nonconvex and generally hard to solve, see e.g. [1], [2]. In...
The dataset contains results of power system power flow equations for different power system cases w...
© 2018 Elsevier B.V. Optimal power flow (OPF) over power transmission networks poses challenging lar...
Optimal power flow (OPF) is a key problem in power system operations. OPF problems that use the nonl...
Research Doctorate - Doctor of Philosophy (PhD)This thesis investigates of the structure and solutio...
In this paper we describe an Interior Point Method (IPM) to solve large scale NonLinear Programming ...
Power flow exhibits uncertainty when power injections randomly fluctuate. The variables of power flo...
Abstract Optimal power flow (OPF) has been used for energy dispatching in active distribution networ...
International audienceOptimal Power Flow (OPF) can be modeled as a non-convex Quadratically Constrai...
preprintIn this paper, we consider the optimal power flow (OPF) problem which consists in determinin...
AC optimal power flow (AC OPF) is a challenging non-convex optimization problem that plays a crucial...
The power flow equations model the relationship between the voltages phasors and power flows in an e...
Optimal power flow (OPF) is a central problem in the operation of electric power systems. An OPF pro...
Many applications in modern distribution management systems (DMS) need the support of robust and rel...
With higher penetration of renewable generation and market liberalization, operating points of elect...
The optimal power flow (OPF) problem is nonconvex and generally hard to solve, see e.g. [1], [2]. In...
The dataset contains results of power system power flow equations for different power system cases w...
© 2018 Elsevier B.V. Optimal power flow (OPF) over power transmission networks poses challenging lar...
Optimal power flow (OPF) is a key problem in power system operations. OPF problems that use the nonl...
Research Doctorate - Doctor of Philosophy (PhD)This thesis investigates of the structure and solutio...
In this paper we describe an Interior Point Method (IPM) to solve large scale NonLinear Programming ...