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This paper presents Microgrid (MG) optimization using Genetic Algorithm. The MG model is based on renewable energy sources (wind turbine) and gas generator. The algorithm objective is determine the optimal size of combined wind and gas generator to satisfy a given Key Performance Indices (KPIs). The selected KPIs describe both dynamic and static performance of MG. The KPIs describing the dynamic performance...
Network reconfiguration and load recovery (NRLR) during power system restoration is a complex mixed-integer nonlinear programming (MINP) problem, which is difficult to be solved efficiently. To address this problem, this paper proposes a two-stage optimization method for NRLR. The first stage, based on the DC power flow considering frequency characteristics, focuses on the integer variables and provides...
Quality of Service (QoS) is often essential when the service consumer looks for a single service from a large pool. However, QoS of a composite service is aggregated in a rough way because the concrete service providers in the composition are seen as independent ones. In reality, business relationships such as dependencies and conflicts often exist among service providers, which unavoidably affect...
The Brazilian power system is mainly composed of hydroelectric generation. Due to the stochasticity of inflows each hydroelectric plant receives an assured energy certificate, also known as physical guarantees. In general, the assured energy certificates correspond to the energy that each plant can produce at a 95% confidence level., They also represent the maximum energy each hydro unit can contract...
This paper presents an overview of optimization field in case of condensing power plant. Different parameters of power system such as power losses, voltage drop, optimal placement, volume of generators, etc. were considered here; the analysis of their impact on generation process was conducted. The idea is to make a comparison between different models of energy systems and to show how fuel consumption...
To estimate performance of computer science algorithms reliably, one has to create worst-case execution time tests. For certain algorithms this task can be difficult. To reduce the amount of human effort, authors attempt using search-based optimization techniques, such as genetic algorithms.
This paper presents a flexible energy optimizer for microgrids and virtual power plants, which can determine the optimal schedules of controllable Distributed Generators (DGs) and Battery Storage Systems (BSS). The optimization problem consists of both technical and economic aspects regarding network, DGs and BSS characteristics and restrictions. An enhanced mixed integer linear programming (MILP)...
As wind turbines increase their power rating, the size and mass grows as well. The higher reliability is demanded in order to minimize the maintenance. Permanent magnet direct drive (PMDD) synchronous generators are a good solution since they omit the gearbox. While the large generator mass has been also a key difficult problem limiting the practical use of PMDD generator, which makes them difficult...
This paper presents a linear generator for human motion energy harvesting using dual Halbach magnet arrays. A novel Halbach array with non-uniform magnet blocks is proposed to enhance the air-gap flux density in the linear generator for a given size and weight of permanent magnet material. Then, the optimization model is constructed with the objective of maximizing the output power of the linear generator...
Conventionally, the frequency of the power system is controlled by matching the electric supply to the varying demand. Some recent studies demonstrated that demand response (DR) can contribute to the frequency control equally to the generating units. However, to a great extent, the performance depends on the controller design and parameter selection. In this paper, a comprehensive DR control scheme...
The critical issues in a renewable energy based microgrid are ensuring continuous availability of power to the critical loads, and to provide supply to the maximum possible portion of the system under any abnormal conditions by topology management. An intelligent load shedding and fast reconfiguration of the system is therefore necessary in order to serve the critical loads and to maintain a proper...
An Ikeda map embedded genetic algorithm is introduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem...
Online bin packing requires immediate decisions to be made for placing an incoming item one at a time into bins of fixed capacity without causing any overflow. The goal is to maximise the average bin fullness after placement of a long stream of items. A recent work describes an approach for solving this problem based on a ‘policy matrix’ representation in which each decision option is independently...
Indian economy is running with very fast growth rate, so there is a huge demand of energy in future. But the requirement cannot be achieved with conventional sources of energy as these are limited. Renewable Energy Systems are likely to become wide spread in future due to adverse environmental impacts and escalation in energy costs associated with the use of conventional energy sources. This paper...
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 present work proposes a methodology to obtain setting parameters of a power system stabilizer (PSS), through the implementation of search technique based on genetic algorithms (GA). To adjust the PSS using GA, the programming and dynamic analysis using Matlab / Simulink is performed, which includes the synchronous machine, excitation system and PSS, where the response of the machine to a disturbance...
This paper focuses on the Optimization of Medium Voltage Geared Permanent Magnet Synchronous Generator Systems in an attempt to reduce the amount of rare earth material used. The aim is to decrease the weight and cost of large scale Medium Voltage (MV) Permanent Magnet Synchronous Generators, to be used in a Medium Voltage system configuration. A genetic algorithm is used for the design optimization...
Much of the research on security of industrial automation systems has focused on countermeasures such as intrusion detection, certificate management or public key infrastructures. Due to limited resources, countermeasures should be focused to prevent the attacks with highest potential for damage. The impact of an attack can only be determined through a detailed analysis of the interactions of the...
This paper purposes an optimal configuration of the distributed hybrid renewable generations based the stand-alone micro-grid system, considering the diesel as the main control source. Due to the natural sources and load of user changes randomly and the nonlinearity of the power output by renewable generations, an intelligent optimization method based improved genetic algorithm and the control strategy...
Immense growth has happened in the field of microgrid (MG) and the energy management system (EMS) methods in the past decade. It is estimated that there is still a huge potential of growth remaining in the field of EMS in the coming years. The main role of EMS is to autonomously determine hour-by-hour the optimum dispatch of MG and main grid energy to satisfy load demand needs. This paper is focused...
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