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This paper presents a probabilistic interval optimization (PIO) model for evaluating the problem of optimal power flow considering wind power integrated (OPFWP). In PIO model, the wind power is deemed as a probability interval variable to assess its profit and risk simultaneously. To be precise, the profit is manifested by the net decrease of generation cost between the same power system with and...
The paper shows the results of an optimization strategy that takes into account the annual wind profile of a wind turbine to design a high-efficiency permanent magnet synchronous generator. The energy yield is considered in the optimization method by including the cost of losses in the objective function, which is the sum of the costs of losses, active materials and structure. The optimally designed...
Wind energy has been playing a critical role in modern electric power system due to the fact that wind is free of cost and environment-friendly. However the inherent intermittency of wind has complicated system operation such as optimal power flow (OPF). In this paper, the authors present a stochastic OPF model integrated with wind power (WOPF). Since WOPF is a highly non-linear and non-convex problem,...
The paper presents the optimum design of a Permanent Magnet Synchronous Generator for wind power applications. The proposed optimization strategy deals with two contradictory objectives: to reduce generator costs and to raise the energy yield. This task is accomplished by maximizing the difference between the energy proceeds and the generator costs. The generator operating cycle is taken into account...
This paper shows the results of an optimization strategy that takes into account the annual wind profile of a wind turbine to minimize the generator cost and maximize the energy yield. The optimally designed machine is a 3-phase permanent magnet synchronous generator with 48 poles and 30 kW for direct drive wind turbines. The energy yield is considered in the optimization method by including the cost...
In this paper we develop a model of combined heat and power (CHP) dispatch for the system consisting of both thermal generators and wind turbines. In this model, the probability of stochastic wind power is included in the constraint set. This approach avoids the probabilistic infeasibility caused by using the average of random variables. The effects of wind speed on the generated power are investigated...
In order to make informed decisions in the presence of uncertainties, risk management problems of power utilities may be modelled by multistage stochastic programs. These programs use a set of scenarios (or plausible realizations) and corresponding probabilities to model the multivariate random data process, e.g. electrical load, stream flows to hydro units, generation output of intermittent renewable...
In this paper a multi-objective criterion function is introduced to maximize annual energy input (AEI) and minimize permanent magnet (PM) volumes in a permanent magnet synchronous generator (PMSG). First, a PMSG is designed and modeled analytically to achieve above mentioned targets. After that, effects of various generator parameters on the two above-mentioned objective functions are analyzed using...
In this paper a methodology of sizing optimization of the stand-alone hybrid energy systems is presented. This approach makes use of a deterministic algorithm to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the total costs of the autonomous hybrid wind/PV/Diesel, wind/Diesel and PV/Diesel energy systems are minimized while guaranteeing...
Optimal design of the direct-driven permanent magnet(PM) wind generator, combined with F.E.A(finite element analysis) and genetic algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the proposed parallel computing via internet web service has contributed to reducing...
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