This paper proposes an approach to solve the Optimal Power Flow (OPF) problem with an aim to enhancing the power system security. The approach uses proposed Particle Swarm Optimization (PSO) based algorithm to acquire the optimal power dispatch meeting steady state security constraints under different loading conditions. The PSO algorithm can be used to solve many complex OPF problems are non d...

In this paper we investigate the inclusion of pricedependent loads into the traditional Optimal Power Flow algorithm. The development of the model will be based on the solution of the OPF using an objective function for maximization of social welfare. The paper will show that a traditional OPF algorithm that minimizes supplier costs can be modified to solve the social welfare maximization probl...

The current research investigates a new and unique Multi-Objective Generalized Normal Distribution Optimization (MOGNDO) algorithm for solving large-scale Optimal Power Flow (OPF) problems of complex power systems, including renewable energy sources Flexible AC Transmission Systems (FACTS). A recently reported single-objective generalized normal distribution optimization is transformed into the...

In this paper, a new Modified Bacterial Foraging Algorithm (MBFA) method is developed to incorporate FACTS devices in optimal power flow (OPF) problem. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Two types of FACTS devices, thyristor controlled series compensators (TCSC) and Static VAR Compensator (SVC) are considered in this method. The bas...

This paper presents a universal model formulation for solving Optimal Power Flows hybrid AC/DC grids. The prowess of the new is that it (i) provides direct link between AC and DC parts grid allowing entire network within unified frame reference (not sequentially) (ii) can realistically any element power grid, ranging from conventional transmission lines to multiple types interface devices such ...

In this paper, the resilient-constrained generation and transmission expansion planning (RCGTEP) considering natural disasters such as earthquake flood is presented. The proposed model contains a two objective problem that first function minimizes construction operation costs of resiliency sources (RSs) and, in second function, minimization expected energy not supplied (EENS) due to outage syst...

In order to unlock the flexibility potential of energy consumers and prosumers, development market mechanisms for planning procurement is necessary. The authors propose a stochastic local solve grid issues such as voltage deviations congestion in distribution grid. Their proposed solution includes activation assets at consumers’ premises, using design. They consider pooled design under demand u...

The optimal power flow (OPF) problem determines an optimal operating point of the power network that minimizes a certain objective function subject to physical and network constraints. There has been a great deal of attention in convex relaxation of the OPF problem in recent years, and it has been shown that a semidefinite programming (SDP) relaxation can solve different classes of the nonconve...

Optimal power flow (OPF) is the most requisite tool in the power system analysis. The OPF is relatively a difficult constrained optimization problem and broadly solved by conventional as well as modern intelligent methods. In this paper the authors proposed a levy flight spider monkey optimization (LFSMO) algorithm to solve the standard OPF problem for IEEE 30-bus system, which is proposed to i...

 Abstract-In this paper, we develop semidefinite programming (SDP) models aimed at solving optimal power flow (OPF) problems in distribution systems. We propose two models: the symmetrical SDP model which modifies the existing BFM-SDP model. Then based on the symmetrical SDP model, we develop a voltage regulation model that solves OPF problems with binding voltage constraints. To evaluate the ...