This paper develops a price structure for providing reactive power service and control based on optimal power flow (OPF) approach. The cost of reactive power support service is determined based on capability and contributions to the improvement of system performance such as security, reliability and economics, by computing sensitivity of objective function with respect to reactive power support...

In this thesis, a Newton-based optimal power flow (OPF) is developed for implementation into a power system simulation environment. The OPF performs all system control while maintaining system security. System controls include generator megawatt outputs, transformer taps, and transformer phase shifts, while maintenance of system security ensures that no power system component's limits are viola...

Optimal Power Flow (OPF) problem in electrical power system is considered as a constrained nonlinear, single objective or multiobjective optimization problem with multiple variables and multiple constraints. As the Power Transmission companies have been moving into much more competitive markets , this necessitates the implementation of Optimal Power Flow Programs for both, the planning and oper...

Renewable energies are increasingly integrated in electric distribution networks and will cause severe overvoltage issues. Smart grid technologies make it possible to use coordinated control to mitigate the overvoltage issues and the optimal power flow (OPF) method is proven to be efficient in the applications such as curtailment management and reactive power control. Nonconvex nature of the OP...

The traditional cumulant method (CM) for probabilistic optimal power flow (P-OPF) needs to perform linearization on the Karush–Kuhn–Tucker (KKT) first-order conditions, therefore requiring input variables (wind power or loads) varying within small ranges. To handle large fluctuations resulting from large-scale wind power and loads, a novel P-OPF method is proposed, where the correlations among ...

The operational aspects of power systems pose some of the most challenging problems encountered in the restructuring of electric power industry. This paper focuses on Congestion Management within an Optimal Power Flow (OPF) framework in the deregulated electricity market scenario. The conventional OPF problem is modified to create a mechanism that enables the market players to compete and trade...

in this paper, a combinational optimization algorithm is introduced to obtain the best size and location of static compensator (statcom) in power systems. its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. the objective of the proposed algorithm is firstly to pr...

This paper presents a hybrid particle swarm optimization algorithm (HPSO) as a modern optimization tool to solve the optimal power flow (OPF) problem. The objective functions considered are the system real power losses, fuel cost, voltage deviation and voltage stability index. The proposed algorithm makes use of the PSO, known for its global searching capabilities, to allocate the optimal contr...

In this paper, a novel multi-agent decision making architecture based on dual’s dual problem formulation is designed for economic operation. The benefits of such architecture include its limited information exchange among autonomous entities and the ease of implementation. Existing AC optimal power flow (OPF) software packages can be easily incorporated. The proposed decision making is based on...

Under critical situation the main preoccupation of expert engineers is to assure power system security and to deliver power to the consumer within the desired index power quality. The total generation cost taken as a secondary strategy. This paper presents an efficient decomposed GA to enhance the solution of the Optimal Power Flow (OPF) with non-smooth cost function and under severe loading co...