Application of mixed integer distributed ant colony optimization to the design of undamped single-tuned passive filters based harmonics mitigation

The purpose of this study is to find the optimum sizing parameters of the undamped single tuned filter in the nonsinusoidal system by using a new method called Mixed Integer Distributed Ant Colony Optimization. The inductance and capacitance values of the filter are obtained for each criterion where the power factor is maximized, the losses power in Thevenin’s resistor is minimized or the transmission efficiency is maximized complying with the technical and practical constraints based on IEEE Std. 519-2014 and IEEE Std. 18-2012. A detailed study has been performed and discussed where global minimum and maximum are achieved after considering the loads being nonlinear, the value of the filter that would introduce resonance, voltage total harmonic distortion, the consequence of the Thevenin’s impedance on the load voltage and the practical values of the capacitor. The obtained optimum value of a single tuned filter is used to explain the system performance by evaluating other functions. The effectiveness of the proposed method is proved by comparison with previous publication and other evolutionary computation techniques which are genetic algorithm and particle swarm optimization

Comparative analysis of optimal damped and undamped passive filters using MIDACO-solver

Copyright © 2022 The Authors. Harmonic pollution is one of the challenging problems facing power networks recently due to the widespread non-linear loads and inverter-based renewables. In this regard, this work presents the optimal design of damped and undamped passive filters using a solver called Mixed-Integer Distributed Ant Colony Optimisation (MIDACO). This solver is employed to obtain an optimal design strategy for single-tuned passive power filters by investigating three primary criteria – minimisation of active power losses of the Thevenin’s resistor, maximisation of the true power factor, and maximisation of the transmission efficiency. Several constrictions associated with the designed filters have been considered, in which the global maximum or minimum criterion was attained by retaining the quality factors of the designed filters within a particular range, damping harmonic resonance, achieving a permissible range of the power factor, limiting voltage harmonic distortion by complying with IEEE Std. 519–2014 restrictions. Besides, the performance limits of capacitors operating in distorted systems have been met while complying with IEEE Std. 18–2012. Further, the results obtained using the MIDACO solver in four different case studies are compared to those obtained using particle swarm optimisation and genetic algorithm. In addition, this work depicts the damping resistor of the inductance in the single-tuned filters. The benefits and drawbacks of damping over an undamped filter are discussed. Finally, the results validate the effectiveness of the MIDACO solver employed in this paper.The authors did not receive support from any organisation for the submitted work

Study about Power Filters in Power System Quality and Stability Enhancement

The excessive power electronics devices in the distribution systems have evolved the problem of power quality. Arc Furnaces, Variable Frequency Drives (VFD), Computer power supplies play a major role in the deterioration in the quality power by injecting harmonics in the utility supply source. Extensive use of non-linear loads leads to a multitude of unwanted harmonics in the operation of the electrical system. Of these, the harmonics of current and voltage are the most significant. in this paper presented is the power quality and the Shunt Active Power Filter and the description of the Harmonics and Its Effects

Approach of Passive Filters using NSGA II in industrial installations: Part I

The optimization of passive filters in industrial systems has been presented by different computational methods. The objective of this paper is to develop a computational algorithm with NSGA II to select the configuration and design parameters of a set of passive filters for industrial installations. As a methodology, the optimization problem was addressed using three independent objective functions of innovative character for compensation of harmonics through passive filters as a multiobjective problem. The results were the computational solution to this problem that determines a set of Pareto optimal solutions (Frontier). In addition, the computational tool has several new features such as: calculates the parameters that characterize the filters, but also selects the type of configuration and the number of branches of the filter in each candidate bar according to a set of pre-established configurations according to PRODIST-M8 (Brazilian Standard) and IEEE 519-2014. Also determine solutions with good power quality indicators (THD, TDD and NPV) for several characteristic and non-characteristic scenarios of the system that allow to represent: daily variations of the load, and variations of system parameters and filters. It evaluates the cost of energy bills in an industrial power grid that has different operating conditions (characteristic scenarios) and evaluates the economic effect of harmonic filters as reactive power compensators

Analysis and solutions of power harmonics in medium voltage distribution networks

The transition toward more sustainable energy systems is driven mainly by greenhouse gas emissions reduction schemes and the growing demand for energy worldwide. Consequently, more Distributed Energy Resources (DER) based power sources and their enabling technologies such as Medium Voltage Direct Current (MVDC) systems are being integrated into the existing distribution networksto help meet such challenges. However, due to the presence of the Power Electronics (PE) based power converters interfacing these systems with the main power network, concerns related to power harmonics in today’s distribution networks must be addressed. To investigate the severity of power harmonics in the distribution networks with the presence of the MVDC converters, a detailed model of an MVDC converter including the switching behaviour of the semiconductor devices with a suitable control system and an interleaved Pulse-width Modulation (PWM) scheme was developed in this study. The key finding is that the proposed harmonic mitigation technique, the interleaved SPWM technique, has significantly reduced the Total Harmonic Distortion (THD) to 2% at the rated system capacity with no significant even-order harmonic components. The real data obtained from the power network of Albaha was also modelled and simulated in the frequency domain using the established harmonic models of the power system components to conductthe harmonic propagations study of the MVDC converter into the AC network. The MVDC converter harmonic performance in the Albaha power system revealed that the THDs at different voltage levels comply with the standard limits. Moreover, applications of Artificial Intelligence (AI), especially the optimization algorithms for power harmonic solutions have received considerable attention over recent years. Thus, in this research, the recently developed Manta Ray Foraging Optimization (MRFO) algorithm has been implemented for the optimal parameters design of a high-pass Passive Power Filter (PPF). An analytical harmonic analysis approach based on the Monte Carlo Simulation (MCS) was also proposed for PPF harmonic performance evaluation including uncertainties at the power network level. For the superiority validation of the MRFO algorithm, different optimizersthat have quite similar hunting and modelling strategies have been adopted. The MRFO algorithm has shown better solution-finding capability but relatively higher computational effort. By including uncertainties at the power network level, the harmonic performance of the optimally designed PPF proposed by the MRFO algorithm was investigated using a proposed MCS-based method, which has shown the significance of the PPF in terms of voltage distortions, system performance parameters, and the network’s hosting capacity for more renewable systems. The results imply that the optimally designed PPF can effectively attenuate the high-order harmonics and improved the system performance parameters over different operating conditions to continually comply with the standard limits. The proposed MCS method showed that the optimally designed PPF reduced the voltage and current distortions by roughly 54% and 30%, respectively, and improved the network hosting capacity by 10% for the worst-case scenario.Furthermore, DER-based power sources are predicted to cause significant harmonic distortions in today’s power networks due to the utilisation of power conversion systems, which are widely recognized as harmonic sources. Identifying the actual contribution of an offending harmonic source can be a challenging task, especially with multiple harmonic sources connected, changes in the system’s characteristic impedance, and the intermittent nature of renewable resources. Hence, a method based on an Artificial Neural Network (ANN) system including the location-specific data was proposed in this thesis to estimate the actual harmonic distortions of a harmonic source. The proposed method would help model the admittance of the harmonic source under the estimation, capture its harmonic performance over different operating conditions, and provide accurate harmonic distortions estimations. For this purpose, a simple power system was modelled and simulated, and the harmonic performance of a solar Photovoltaics (PV) system was used to train the ANN system and improve its prediction performance. Additionally, the expert ANN-based harmonic distortion estimator was validated in the IEEE 34-bus test feeder with different established harmonic sources, and it has estimated the individual harmonic components with a maximum error of less than 10% and a maximum median of 5.4