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To help mitigate some of the challenges associated with the wide spread adoption of the stochastic wind power, wind turbine with full-scale power converter (Type D) is preferred. Since full power is processed by the power converter in a type D wind turbine, it is important to improve its efficiency and reduce the cost per kW to achieve lower cost of energy. The power produced by the wind turbine varies...
This paper presents the application of a multi-objective optimization method to minimize two conflicting features, power loss and total harmonic distortion, of grid-tied PWM-based cascaded multilevel inverter. These features are similarly important, thus requiring a compromise because of inherent conflict between them. One major challenge is that these features cannot be expressed simply by mathematical...
This paper introduces an optimal power filter design method to compensate simultaneously current harmonics and reactive power of a nonlinear load. The power filter consists of a passive RL low-pass filter placed in series with the load and a pure active power filter which has RL elements connected in series with an insulated gate bipolar transistors (IGBTs) based voltage source converter. The filter...
Shunt active power filter is suitable to compensate current-type harmonics generated by nonlinear load. However which generates high frequency switching harmonic current into the power grid by using the pulse width modulation (PWM) technology. So the switching harmonic filter must be used to eliminate ripple current. Based on the analysis of the working principle of switching harmonic filter, the...
The paper presents the multi-objective optimization control strategy of a doubly fed induction generator (DFIG) under the distorted grid voltage conditions. Based on the mathematical model of DFIG in the positive synchronous reference frame under the distorted grid voltage conditions, the four different control targets are proposed to restrain the harmonic components in stator/rotor current or the...
In this paper optimal control strategies for active power filters working under non-sinusoidal voltage are approached using Pareto Optimal based multi-objective optimization. Where the voltages are distorted, there is some conflict between power factor improvement, current harmonics mitigation, and cost issues. The Strength Pareto multi objective optimization approach is used to simultaneously optimize...
Power quality filters (PQF) are the most effective tools to reduce power system harmonics. Passive harmonic filter (PHF) is the simplest and cheapest kind of PQFs. Designing and tuning of PHF is a crucial issue for many power system researchers. The filter should overcome the harmonics generated in the voltage and current waveforms due to the nonlinear characteristics of the power system, distorting...
There is many control strategies used in the inverter. However, which is the most efficient control law in the same condition? So in this paper a novel multi-objective optimal SPWM (MOSPWM) control strategy of the inverter based on genetic algorithm (GA) is presented, which can find the effective one. In this control strategy a multi-objective function was created, which enables a voltage-source type...
The paper deals with the reactive power control in a MV distribution system in presence of Dispersed Generation (DG). The control variables are the reactive powers of DG units and capacitors, and the tap position of the on-load tap changer of the HV/MV transformer. Single-objective and multi-objective optimization problems are formulated and solved in order to achieve the optimal control, even containing...
Distributed generation (DG) is a hot spot nowadays, at the same time the harmonic pollution can't be ignored when DG is connected with the power grid through power converters. First discuss several harmonic suppression methods have been adopted in practice, such as increasing the number of converter pulse, using pulse width modulation (PWM) converter, passive power filter (PPF), active power filter...
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable properties, such as the ability to induce novel knowledge or to show new points of view of well-established concepts. An approach to overcome these limitations involves using a multi-objective evolutionary algorithm to build knowledge...
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