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The purpose of this work is to apply a hybrid algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) for solving the problem of Economic Dispatch, which is based on supplying an energy demand, subjected to some restriction and reach out the best possible cost. Basically, we use the mutation operator from GAs aiming to explore regions in the search space that cannot be reached...
This paper gives 3000 solutions for reactive power optimization using repeated genetic algorithm. The objective function is minimization of voltage deviations at load buses and the control actions are changes in generator excitations, capacitor switching and tap changing transformers. IEEE30 bus system is the test data and simulated on MATLAB. New data prediction algorithm is given.
Nowadays, the penetration of Renewable Energy Sources (RES) in electrical networks is growing significantly. In spite of many problems it introduces, the connection of RES in the subtransmission systems also gives the opportunity of exploiting them for the benefit of the network. In this paper, this is done for islanding conditions and a Genetic Algorithm (GA) based procedure to make a stable islanded...
Level design is an art which consists of creating the combination of challenge, competition, and interaction that players call fun and involves a careful and deliberate development of the game space. When working with procedural content generation, it is necessary to review how the game designer sets the change in difficulty throughout the different levels. In this paper we present a procedural level...
In recent years there is a growing interest in the research of applying genetic algorithms (GAs) for dynamic optimization problems (DOPs), and several approaches have developed to deal with DOPs. Cloud model is a model of transforming a qualitative concept to a set of quantitative numerical values. A new hybrid genetic algorithm based on cloud model is proposed in this paper, cloud model is used to...
The battlefield damage level assessment is different from other assessment problems because of its characteristics such as small sample, multiple influence factors and high dimension. Thereby, the assessment methods like Bayesian Net (BN), Neutral Net (NN), and multiple indexes comprehensive method can't be used in this domain. So, a new method must be introduced. Then, Support Vector Mechanism (SVM)...
In this paper we face the problem of the joint optimization of both topology and network parameters in order to minimize the total active power losses in a real Smart Grid. It is considered a portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. located in Rome which presents back-flows of active power for 20% of the annual operative time. It includes about...
In this paper the problem of the minimization of active power losses in a real Smart Grid located in the area of Rome is faced by defining and solving a suited multi-objective optimization problem. It is considered a portion of the Italian electric distribution network managed by the ACEA Distribuzione S.p.A. which presents backflow of active power for 20% of the annual operative time. The network...
The sustainable management of coastal and offshore ecosystems, such as for example coral reef environments, requires an energy efficient collection of accurate data across various temporal and spatial scales. To suitably address the energy supply of marine sensors, in this paper a novel energy harvesting device is proposed, based on a Tubular Permanent Magnet-Linear Generator (TPM-LiG). The application...
The application of Gravitational Search Algorithm a heuristic optimization approach for solution of economic load dispatch is presented here. GSA optimization approach is inspired by Newtonian gravity and law of motion. The efficacy and robustness of the GSA approach is analyzed on four different standard test cases. Comparison of computational results is made with the recent available methods. The...
Genetic Algorithms represent a technique of Artificial Intelligence which has developed from the paradigm of biological evolution. They use a population of potential solutions which gradually evolve toward the best solution which satisfies an objective function. By their nature, Genetic Algorithms use random numbers. In a typical algorithm running, a random number generator is used in many occasions,...
The location of a wind turbine is fundamental to enhance its performance. However, there are other factors that should be taken into account when deciding the best position for a wind turbine. This paper presents the influence of a wind penetration sitting in different distribution networks for the optimization of the economic dispatch problem. A genetic algorithm is developed to solve this problem...
A methodology of sizing optimization of a stand-alone hybrid wind/PV/diesel energy system with battery storage is addressed in this article. The aim is to find the optimal number of units guaranteeing that the life time round total system cost/emission is minimized subject to the constraint that the load energy necessities are completely covered. The system is optimized using genetic algorithms and...
This paper targets the enhancement of distribution power system's performance and operation through reducing system's real losses and improving overall voltage profile of the network taking into consideration topological and load constraints. For this target, two main techniques are employed in this paper; network reconfiguration and distributed generators installation. The paper proposes genetic...
The power transmission capability available from a transmission line design is limited by technological and economical constraints. Therefore, in order to maximize the amount of real power, reactive power flows must be minimized. Consequently, sufficient reactive power should be provided locally in the system to keep the bus voltages within nominal ranges in order to satisfy customer's equipments...
Wind generation is the most increasing resource in the renewable energy. Now a days, the wind power has a large installed output power capacity in the world among the renewable energy sources. The wind power integration into power system grids has some effect on power system issues as transmission congestion, optimum power flow, system stability, power quality, system economics and load dispatch....
A number of published works deals with governor tuning for speed control of hydro power plants. This paper investigates genetic algorithms as a means of finding optimum solution over a governor parameter. In actual, the genetic algorithm is applied to optimum tuning of a governor parameter for a hydro power plant. There is different type of governor controllers used in hydro power plant. Temporary...
This papers presents an adaptive power system stabilizers (PSS) using an adaptive network based fuzzy inference systems (ANFIS) and the second version of non-dominated sorting genetic algorithms (NSGA-II). Firstly genetic algorithms are used to tune stabilizer parameters on a wide range of loading conditions to create a data base. Two eigenvalue-based objective functions are considered to place the...
Restoration Service has become important as distribution systems are becoming automated. However, because it is a complex control problem involves heuristic searches, there is still hard to find optimal solution. On the other hand, in recent years, Distributed Generators (DG) is being actively introduced in distribution systems. This paper proposed the integration of enhanced efficiency and environmental...
This paper presents an optimal scheduling of tap changing transformers and converters interfaced with distributed generators (DGs) in unbalanced three phase distribution systems. Since the renewable energies are attracting worldwide attention, the DGs considered here are supposed based on photovoltaic (PV) generators. The unbalanced three phase power flow equations are solved using Newton Raphson...
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