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This paper proposes a systematic method for reactive loss optimization using Genetic Algorithm (GA) and load flow analysis for deregulated transmission systems. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. In this paper, in genetic algorithm, the loss optimization using equivalent optimal power flow model has been treated...
Capacitor placement is one of the most important methods in loss reduction and improving the voltage profile of distribution systems. Index, GA and Particle Swarm Optimization methods are used for finding the optimal values of the fixed capacitors in the distribution networks with balanced loading for radial configuration. This methodology is tested on a region of the distribution network of the Andhra...
In this paper, three voltage stability indices (VSIs) have been assessed. The voltage stability problem has been formulated as an optimization problem. Genetic algorithm (GA) has been employed to solve this optimization problem. Wale & Hale 6 bus system was used in this paper study.
In response to the governmental policy of saving energy sources and reducing CO2, and carry out the resident quality of local; this paper proposes a new method for a non-intrusive energy management (NIEM) system in smart home to implement the load identification of electric equipments and establish the electric demand management. Non-intrusive energy management techniques were often based on power...
The research on the application of the 3-phase high power PWM (Pulse Width Modulation) rectifier in the battery charge and discharge device has been a hotspot in the field of power electronics and control. As the traditional PID controller is difficult to achieve the optimum parameters, this paper proposes a new control method of PWM rectifier based on Genetic Algorithm (GA). The design of the PWM...
A metaheuristic technique for solving the short-term transmission network expansion and reactive power planning problems, at the same time, in regulated power systems using the AC model is presented. The problem is solved using a real genetic algorithm (RGA). For each topology proposed by RGA an indicator is employed to identify the weak buses for new reactive power sources allocation. The fitness...
In the new competitive environment of the electricity market, risk analysis is a powerful tool to guide investors under both contract uncertainties and energy prices of the spot market. Methodologies that allow what-if analysis involving simulation of spot price scenarios and energy contract's performance evaluation, are important to the decision maker and in particular to the trader, in order to...
As a matter of fact, there is an ever increasing need for augmenting renewable resources to the existing power system in order to meet its increasing demand. These resources are generally connected to the distribution network, thereby alleviating the stress on the network and also providing the necessary reliability. A distribution network with renewable and fossil-based resources is a micro-grid...
Induction generators have gained an important rule in many applications. These generators have a very wide rotor speed operation range and reactive power with non-linear characteristics. As a result the linear controllers which have been designed for an operating point don't show a properly function for controlling the generator outputs. In this paper in order to overcome this problem an adaptive...
This paper presents a new optimization algorithm, Music Based Harmony Search (MBHS) applied to the Optimal Power flow (OPF) problem with line constraints for minimizing the Fuel costs together with Generator Reactive power losses. The proposed method is compared with other optimization techniques like Simple Genetic Algorithm (SGA), Adaptive Genetic Algorithm (AGA) and Particle Swarm Optimization...
In order to avoid the premature convergence and improve convergence rate, a catastrophic adaptive genetic algorithm for reactive power optimization is discussed in detail. Before the germination of premature convergence, the cataclysm operator is adopted to update all individuals randomly except for the current optimum.When the change rate of average fitness is decreased to a critical condition; the...
This paper proposes Genetic Algorithms (GA) for solving optimal multi-distributed generation (DG) location and capacity. The objective is to minimize the real power loss within security and operational constraints. Four kinds of DG are considered including distributed real power sources only, distributed real reactive sources only, distributed generation supplying real power and consume reactive power,...
The time varying nature of electric arc furnace (EAF) gives rise to voltage fluctuations. The ability of static VAr compensator (SVC) in flicker reduction is limited by delays in reactive power measurements and thyristor ignition. To improve the SVC performance in flicker compensation, EAF reactive power can be predicted for a half cycle ahead by using appropriate ARMA models. This paper uses huge...
The major source of inaccuracy in dynamic power simulations arises from the models used to represent loads, due to their stochastic nature. Nevertheless, measurements of the electrical system dynamic response are available from a large number of sources like power quality monitors and other disturbance monitoring devices. That means that real world recorded data may be used to fit a mathematical description...
A reactive power optimization is a multi-modal, mixed-variable, multi-constraint and nonlinear planning problem. In the last decades, many computational intelligence-based techniques have been proposed for reactive power optimization problem, such as genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), Tabu search. Recently, a new swarm intelligent algorithm, social...
The aim of this paper is to find the optimal circuit parameters of a permanent magnet synchronous machine (PMSM) for an electric or hybrid traction application. The problematic is first introduced. The PMSM model is presented. A discussion about the optimization objectives is presented in order to withdraw the most relevant ones. A multi-objectives and multi-constraints optimization using a genetic...
In this paper a combination strategy for reactive power optimization is proposed. It bases on the optimal reasult of Genetic-Simulated Annealing Algorithm and Primal-Dual Interior Point(PDIP) Algorithm, and solves the problem of discrete and continuous control variables in reactive power optimization effectively. Simultaneity, it introduces the soft costraint to handle the infeasibility problem appearing...
In this paper, the placement and sizing of Distributed Generators (DG) in distribution networks are determined using optimization. The objective is to minimize the loss and to improve the reliability at lowest cost. The constraints are the bus voltage, feeder current and the reactive power flowing back to the source side. The placement and size of DGs are optimized using a combination of Discrete...
Unified Power Flow Controller (UPFC) has a promising effect on controlling the characteristics of the power system operation. During the contingency outage cases, the transmission lines are overloaded and the buses are subjected to voltage violations. Unified Power Flow Controller (UPFC) has both shunt and series controller effect inside its frame. This option gives the UPFC the power to control the...
The key of reactive power planning (RPP), or Var planning, is the optimal allocation of reactive power sources considering location and size. In this paper, three metaheuristics optimization algorithms and their modified version are compared for the optimal var sizing and allocation. They include RCGA, DE, HDEPSO, PSO and IPSO. Each of these algorithms are introduced and are applied on RPP problem...
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