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The hardware that allows autonomous reconfiguration to learn and adapt autonomously from the environment is called Evolvable hardware; employs evolutionary algorithms on PLDs so that the configuration may be changed without human intervention. The systems employed in dynamic operating conditions must be able to adapt to situation e.g. performance of the space system may vary due to sudden high radiation...
This paper proposes an optimum sizing methodology to optimize the configuration of a hybrid energy system (HES) based on Genetic Algorithm (GA). The proposed methodology considers the effect of wind turbine parameters such as rated speed and rated power on electricity cost and compares the performance of various HES. Furthermore, the relationships between renewable energy fraction and the cost of...
The main purpose of this paper is focused upon the enhancement of transient stability and improvement of the dynamic behavior of Egyptian electrical power grid including new nuclear power station in Dabaa area. This target is achieved via employing only one device as a first approach of solution. That device is the Static VAR Compensator (SVC). Capability of that device to provide synchronizing torque...
Low frequency power system oscillations are damped with the help of conventional lead-lag Power System Stabilizer (PSS) by generating supplementary control signal for the excitation system. The primary function of Static Var Compensator (SVC) is to provide voltage control of long transmission lines. It can be utilized to damp power system oscillations. This paper presents robust tuning of Proportional...
This paper presents the effect of Distributed Generators (DG) existence in the electrical power distribution networks taking IEEE 14 and IEEE 30 bus test feeders as proposed systems. The analysis is done to examine the effect on the overall system losses and voltage profile. The aim behind this study is to obtain the optimum location and penetration level of the added DG unit in order to decrease...
Sizing the physical components, choosing proper brands, setting the optimal operation parameters, and the computation time are crucial issues when designing a diesel-hybrid renewable energy system. In this paper, a variant of one of the conventional methods used for designing and configuring these systems is proposed. This variant employs a hybrid genetic algorithm resulting in a time-efficient searching...
In this paper we apply two variable elimination algorithms to data obtained from an RF (Radio Frequency) Power Generator Fault Mode for analysis. We use a two wrapper approach using Support Vector Machines (SVM) and Radial Basis Function Networks (RBF) to build an efficient classifier with variable elimination. Comparisons are made for both continuous and discrete datasets.
In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the...
Procedural content generation (PCG) is concerned with automatically generating game content, such as levels, rules, textures and items. But could the content generator itself be seen as content, and thus generated automatically? This would be very useful if one wanted to avoid writing a content generator for a new game, or if one wanted to create a content generator that generates an arbitrary amount...
Given the node location and the traffic matrix, the survivable topological design is the problem of determining the network topology at minimum capital expenditure such that survivability is ensured. This problem is strongly NP-hard and heuristics are traditionally used to search near-optimal solutions. We present a genetic algorithm for this problem and analyze the impact of the initial population...
In restructured electricity markets, an effective transmission pricing method is required to address transmission issues and to generate correct economic signals. Transmission line constraints can result in variations in energy prices throughout the network. These prices depend on generator bids, load levels and transmission network limitations. Locational Marginal Pricing (LMP) is a dominant approach...
We present a test suite of 23 instances of a preventive maintenance scheduling problem from the power industry, which we also make available online. The formulation of the problem and the suite are derived from real-world data collected recently. A first study of the landscape characteristics of these problem instances based on three different types of adaptive walk reveals a generally rugged landscape,...
In recent years the increase of the computational capability and the development of innovative multi-physics techniques has determined a growing interest towards modeling and optimization in engineering system design and green energy applications. In this context, advanced soft computing techniques can be applied by engineers to several problems and used within optimization process, in order to find...
Linear motors tend to be indispensable at present. Whether they are utilize in health service or in automation industry. It is certain that companies is always looking for something ‘more’ and linear motors have it. Therefore the aim of this paper is to find better solution for introduced task. How to achieve higher precision in LMPM position control? How to adjust optimal controller parameters? This...
Providing high security and reliability for a power system is compulsory for a transmission service provider (TRANSCO) as this will affect the performance in terms of stability and economy. This can only be achieved by means of ancillary services like reactive power provision. However, to cover the cost of supplying such services, determination of appropriate methods for allocating the cost to consumers...
The penetration level of distributed generation (DG) has increasing day by day due to restructuring in electricity market. This paper discusses the sizing and sitting issue of single DG placement in radial distribution network. The main objective of this paper is to minimize active power loss and improve voltage profile of overall system. This paper presents three optimization techniques - Particle...
The first real time task of ISO focuses on Static Congestion Management (SCM), i.e. the congestion caused by the thermal and voltage limits. When power systems undergoes discrete changes in system configuration due to outage and contingencies, the system dynamic performance will be affected and the system stability might be threatened. In this respect, the second real time task of ISO focuses on the...
Genetic Algorithms (GAs) are powerful search techniques. However when they are applied to complex problems, they consume large computation power. One of the choices to make them faster is to use a parallel implementation. This paper presents a parallel implementation of Combinatorial Optimisation with Coincidence Algorithm (COIN) on Graphic Processing Units. COIN is a modern GA. It has a wide range...
In this paper, a mathematical model of reactive power optimization and its algorithm were set up and studied, and an improved genetic algorithm was proposed for reactive power optimization of power system. The algorithm with the binary - real mixed coding method, and the algorithm's crossover operator was improved. combined with logic operation, proposed the method of logic cross. In the crossover...
Blended Biogeography Based Optimization (B-BBO) is an extension to the Biogeography Based Optimization (BBO) technique. Here the blending operator is used in the migration operation of BBO, inspired by the blended crossover operator in Genetic Algorithm (GA). In this paper, the B-BBO technique is applied on economic load dispatch (ELD) problems. Two sample systems are taken with quadratic and valve...
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