This article introduces an Adaptive Differential Evolution (ADE) method for dealing with optimal reactive power dispatch aiming at power loss reduction. The optimum reactive power dispatch of power systems is to allocate reactive power control variables so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The proposed method determines the optimum settings of reactive power control variables such as, generator excitation, tap changing transformers, and SVC that reduces the power loss, while maintaining the voltage stability. Mathematically, the problem of this research is a nonlinear programming problem with integer variables. This article presents a new approach that employs ...
Abstract: Recently Voltage stability issues have gained significant attention, due to voltage instab...
Abstract: Recently Voltage stability issues have gained significant attention, due to voltage instab...
In this paper, a Hybrid algorithm based on- Particle Swarm Optimization (PSO) and Differential Evolu...
This paper presents a novel differential evolution (DE) algorithm, with its improved version (IDE) f...
Abstract — Optimal Reactive Power Dispatch (ORPD) is required for power system control and proper op...
Optimizing multi-objective reactive power dispatch in power systems is an effective way of improving...
Reactive power optimization is a major concern in the operation and control of power systems. In thi...
Abstract:- In the current power system planning and operation, a lot of concern has been shown in th...
This paper presents an Improved Evolutionary Algorithm (IEA), to solve optimal reactive power dispat...
Increment of load demands will cause voltage decay in the system which may lead to voltage collapse ...
Abstract:- Evolutionary Programming (EP) optimization technique is recently applied in solving elect...
a b s t r a c t This paper presents an algorithm for anticipatory control of load bus voltages. The ...
AbstractThis paper proposes a hybrid approach to solve the optimal reactive power dispatch (ORPD) pr...
Voltage stability plays a vital role in operation and control of power system. In this paper an opti...
Abstract: This paper presents an Improved Differential Evolution (IDE) algorithm to solve Economic L...
Abstract: Recently Voltage stability issues have gained significant attention, due to voltage instab...
Abstract: Recently Voltage stability issues have gained significant attention, due to voltage instab...
In this paper, a Hybrid algorithm based on- Particle Swarm Optimization (PSO) and Differential Evolu...
This paper presents a novel differential evolution (DE) algorithm, with its improved version (IDE) f...
Abstract — Optimal Reactive Power Dispatch (ORPD) is required for power system control and proper op...
Optimizing multi-objective reactive power dispatch in power systems is an effective way of improving...
Reactive power optimization is a major concern in the operation and control of power systems. In thi...
Abstract:- In the current power system planning and operation, a lot of concern has been shown in th...
This paper presents an Improved Evolutionary Algorithm (IEA), to solve optimal reactive power dispat...
Increment of load demands will cause voltage decay in the system which may lead to voltage collapse ...
Abstract:- Evolutionary Programming (EP) optimization technique is recently applied in solving elect...
a b s t r a c t This paper presents an algorithm for anticipatory control of load bus voltages. The ...
AbstractThis paper proposes a hybrid approach to solve the optimal reactive power dispatch (ORPD) pr...
Voltage stability plays a vital role in operation and control of power system. In this paper an opti...
Abstract: This paper presents an Improved Differential Evolution (IDE) algorithm to solve Economic L...
Abstract: Recently Voltage stability issues have gained significant attention, due to voltage instab...
Abstract: Recently Voltage stability issues have gained significant attention, due to voltage instab...
In this paper, a Hybrid algorithm based on- Particle Swarm Optimization (PSO) and Differential Evolu...