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This paper describes the influence of the graded air gap on the performance of a salient pole synchronous generator in terms of total harmonic distortion and air gap flux density waveform. Feasibility of redesigning an existing product to include the feature is also briefly discussed. The main focus of this investigation is the THD improvement for a skewless machine and the required increase in the...
This paper investigates the impact of demand response (DR) management on improving the social welfare of remote communities by integrating renewable energy (RE) resources into their diesel generator-based isolated microgrids. A multiple-year planning optimization problem is developed to determine the optimal combination of RE resources and energy storage system (ESS) while considering demand response...
This paper proposes new algorithm called Khums Optimization Algorithm (KOA). KOA is a population based algorithm like GA, BBO and PSO, and inspired from the religious Islamic tax objectives and execution. KOA has two process in searching the optimal solution:collection and distribution. In both process new candidate solution will be generated and ranked based on the objective function. furthermore...
This paper analyses the key benefits of a multiple paralleled diesel generator system over a “Single” diesel generator system for supplying small remote and isolated loads. Even though having several small diesel generators in parallel instead of one larger one will certainly induce higher capital cost of the generating unit, the resulting cost of kWh generated as well as the system is life cycle...
System Design Space Exploration (DSE) is useful in finding new designs or architectures however often generates an untenably large space that is both unintuitive and difficult to analyze. When adding restrictive rules with human experience and approximations, some generated designs may not be realizable, but users cannot distinguish them from the realizable ones. The extent of the negative influences...
The aim of this paper is to present a general description about the method called Extremum Seeking Control (ESC), and its applications in the nonlinear systems, which have an unknown dynamics. The system we are interested in is the photovoltaic system. This technique presents a solution on real time optimization control problems.
Because various uncertainties in power systems including forecast errors of load and wind power as well as forced outages of generators are difficult to be comprehensively and accurately considered, the existing methods of spinning reserve optimization considering low-carbon factors cost cannot coordinate the impacts of wind power scheduling on the reliability, economy and low-carbon emission of power...
The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on matrix computations, and it is hence critical to make these computations scalable and efficient. These matrix computations are often complex and involve multiple steps that need to...
This article deals with the optimization of a full magnetic indirect drive (FMID) with magnetic gears which uses an analytical model based on subdomain resolution of Laplace's and Poisson's equations of the magnetic gear. A bi-objective analytical optimization is performed with a PSO algorithm with a minimization of the mass of the magnetic parts and a maximization of the gear ratio. This intermediate...
Microgrids have become a preferred source of energy for remote locations due to their relative reliability and minimal operational cost. In this work, the optimal operational dispatch of an islanded microgrid consisting of a Combined Heat and Power (CHP) generator and PV generator is considered. The power sources must satisfy the load and heat demand whilst simultaneously minimizing the daily operational...
In order to consider the uncertainty of DG and loads, the interval number is used to describe the uncertainty of the wind speed and loads. The optimal selection and configuration of distributed generators model is established for distribution systems. The largest investment income for independent power producer of DG is taken as the objective function, and interval power flow is introduced to determine...
Distributed generation (DG), is being increasingly adapted in distribution network. The advantages of placing DG in the distribution network are loss reduction, backup power supply, and real, reactive power management increase reliability of the network. In this paper Cuckoo Search Algorithm (CSA) has been adapted for optimal sizing and placement of DG for loss minimization Comparisons are made between...
In this proposed paper, the system aims that in wind power generation a powerful optimization technique can profitably maximize energy extraction at given wind farms. Maximizing the extraction of wind can be achieved with the Particle Swarm Optimization (PSO). Maximizing wind energy extraction of PSO applied to common Constant frequency (CF) set-up instead of using Variable frequency (VF) set-up....
A new evolutionary optimization technique, crow search algorithm (CSA) is proposed in this paper for solving the optimal power flow (OPF) problem. The algorithm has been implemented on IEEE 30 bus test system to check its effectiveness in solving the OPF problem after satisfying various operational constraints. A comparative study of the results is presented in this paper. Analysis of the results...
Intermittent nature of renewable energy sources (RESs) greatly influences power generation in a RESs interfaced generating plant. So, in addition to load variations, RESs have an adverse effect on system frequency in such plant. This paper presents a study on load frequency control (LFC) performance in a hybrid power system, where the RESs such as solar photovoltaic (SPV), wind turbine generator (WTG),...
In this paper, a novel meta-heuristic technique named Symbiotic Organisms Search has been applied to solve different economic dispatch problems while satisfying various inequality and equality constraints. The proposed technique describes the interactive behaviour of various organisms in nature. Symbiotic relationship means two organisms rely upon one another for survival. To validate the performance...
The dynamical economic dispatch problem is studied and reformulated by a distributed interior point method via a logarithmic barrier. By the facilitation of the graph Laplacian, a fully distributed primal-dual dynamical multiagent system is developed in a smart grid scenario to seek the saddle point of dynamical economic dispatch which coincides with the optimal solution. Specifically, to avoid high...
Large offshore direct-drive wind turbines of 10-MW power levels are being extensively proposed and studied because of a reduced cost of energy. Conventional permanent magnet generators currently dominating the direct-drive wind turbine market are still under consideration for such large wind turbines. In the meantime, superconducting generators (SCSGs) have been of particular interest to become a...
In most developing countries, for the proper utilization of solar energy the system designed should be optimized. This paper presents the design and analysis of photovoltaic (PV) system to supply electricity. A stand-alone optimization simulation model is developed using the HOMER software. The radiation data for Baru Sahib, H.P. is collected for the every month of the year. Simulation model is used...
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