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Appropriate operating conditions allow to take advantage of the resources more efficiently, in particular, in electrical systems whose thermal generator fleet may affect the ecosystem. Within this context, a Particle Swarm Optimization in DIgSILENT software is proposed to determine appropriate settings for the elements to control the reactive power. This algorithm reduce the active losses which implying...
The Electric Spring (ES) is a new technology which has recently come to the horizon in smart grid area. This technology carries great potential in stabilizing the future smart grid by regulating the main voltage despite the fluctuation in the output power of the intermittent renewable energy sources. Extending applications of electric spring are giving a new vision of the power system operation with...
The distribution network modeling is of great importance on power system analysis, considering both power quality and network stability. Computational effort reduction is one of the main targets for the network equivalent representation, even if results reliability remains a key point to be verified. In this paper an improved model is proposed, based on the most commonly used composite load models...
Electrical power losses are an important factor for the operation of power systems. Reactive power optimization can reduce power loss. This paper describes the solution of reactive power optimization problem using particle swarm optimization and genetic algorithm. The numerical analysis has been carried out in a part of real power system in Turkey that is managed by MEDAŞ. The goal of this study is...
The local search capability of classical genetic algorithm is weak, and hardly deals with constraints. To solve these problems, the adaptive crossover probability and mutation probability are developed, and a new genetic algorithm with quasi-simplex technique is proposed in this paper. An active power and reactive power dispatch model of wind farm turbine is established, and a better scheduling scheme...
An amendment to the IEEE standard on interconnecting distributed resources (DRs) with electric power systems (EPSs) permits reactive power control upon mutual approval by EPS and DR operators and their agreed-upon coordination [1]. Therefore, this study investigates the maximum effect of reactive power control such as the Volt/Var control of distributed generation on the voltage regulation of practical...
This paper proposes a new methodology for optimal allocation of shunt capacitors in distribution systems. The proposed method combines various objectives and constraints into a comprehensive constraint multi-objective function (CCMF). The function has been optimized using a Genetic Algorithm (GA) based method. Attempts have also been made to improve the computational efficiency of GA. The search space...
This paper proposes a probabilistic approach to determine the optimal location, size and power factor of wind parks in power systems. The optimization technique used is the Genetic Algorithm and the proposed method considered the intermittent nature of wind power and load in the system under study. It is important to mention that in most studies wind plants are operated at unity power factor to supply...
This study investigates the effectiveness of the genetic algorithm evolved neural network and its application in the drive control systems of electromechanical objects. The methodology adopts a real coded GA strategy using datasets in a series of experiments that evaluate the effects on network performance of different choices of network parameters.
This paper provides a new approach towards sideslip velocity autopilot design for an agile missile using hybrid Proportional-Integral-Derivative (PID) control. The proposed hybrid PID controller is derived by replacing the conventional PI controller by a two-input normalized linear fuzzy logic controller and implementing the conventional D controller in an incremental form. Genetic Algorithms (GA)...
This paper presents an efficient and fast-converging optimization technique based on a modification of the traditional big bang-big crunch method for optimal placement and sizing of voltage controlled distributed generators. The proposed algorithm deals with the optimization problems incorporating multiple distributed generators for the sake of power as well as energy loss minimization in balanced/unbalanced...
Organizations related to infrastructure, such as utilities and railway companies, manage a large number of facilities, the failure of which can have a huge impact on society. The cost of maintaining these facilities is a combination of regular maintenance costs and urgent recovery costs. Generally, the urgent costs are much higher than regular costs. Regular maintenance work should result in fewer...
Limitation of fossil fuels and the environmental constraints established by the Kyoto Protocol and other governmental initiatives caused the allocation of distributed generation (DG) to be a vital pillar in power system planning. Improper selection of the sizing and siting of DG systems can reduce their advantages. Network reconfiguration problem is to find a best configuration of distribution systems...
One of the main aims of distribution networks is increasing the participation of distributed generation. One of the methods that can determine the maximum penetration of DG in distribution network is use of active network management. Active network management has essential role to facilitate the connection of new generations without need of reinforcement traditional network. This paper proposes a...
The problem of optimal reactive power is a non-linear optimization problem with several constraints. The objective of the optimization problem is to minimize the active power losses maintaining acceptable voltage profiles. In this paper the optimization of reactive power is solved using a genetic algorithm with a new mutation strategy. The mutation process consists in choosing random genes from random...
The aim of optimal power flow is to discover an operating point that minimizes the generation cost while satisfying multiple operating constraints. Over the years, several techniques have been introduced to solve this non-linear optimization problem. In this paper, genetic algorithm deploying optimum non-uniform mutation rate and elitism has been used to solve this problem. After implementation of...
Power System Stabilizer (PSS) is a supplementary control signal of a generator's excitation system based on Automatic Voltage Regulator (AVR), are now routinely used in t.he industry to damp out power system oscillations. Optimal tuning gain of AVR - PSS is necessary for satisfactory performance of power system. Genetic algorithms (GA) have been widely used for global optimization problems. This paper...
Energy storage has long been proposed at the distribution level, where it can provide additional benefits via ancillary services. This work studies how to place energy storage units (ESU) on a distribution feeder in the most cost-effective manner while still meeting voltage regulation requirements. The feeder also has photovoltaic (PV) generation, and the PV ability to supply reactive power is considered...
The optimal control of voltage and reactive power is one of the essential issues for power grids' security and the economical operation. Having elaborated the model of reactive power optimization in regional power grids, this paper advances an improved genetic algorithm integrated with reduced gradient technique for solving of ORP problem in regional power networks. It is implemented repeatedly on...
Voltage instability and voltage collapse are the foremost permanent concerns of electric utilities because of blackout event occurrences around the world. Flexible AC Transmission Systems (FACTS) has been proposed as the better alternative to overcome this, as in addition to improving voltage stability they improve system performance, reliability, quality of supply and also provide environmental benefit...
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