Journal of Electrical & Electronic Systems

The electric grid is the largest and most complex machine ever built. It's an amazing feat of engineering providing reliable, safe and on-demand power. This grid is built on 20^th century technology with large, centralized generation, mostly fossil fuel-based and only a few points of control. There’s an urgent call to transition off of fossil fuels in order to prevent the worst effects of climate change. Clean power generation like wind, solar and hydro play vital role in facing the mentioned challenge. This hardware is not on its own enough to replace fossil fuels while maintaining our current standard of on-demand and reliable power.

The purpose of the present study is to introduce a new controller for wind turbines aiming at improving the quantity and quality of productivity power. The energy market is a competitive market in which producing electricity in wind power plants provides users with novel advantages than its production in fossil fuel power plants. Among the advantages of wind power plants is that during their lifespan, they produce fuel without any cost. Although the cost of other sources of energy production increases within years. Using wind power to produce electricity, especially multi-megawatt capacities, is the only economical method than other production methods based on recyclable energies (solar, biomass, geothermal, waves and fuel cell). It is necessary to mention that an increasing proportion of recyclable energies in the production of electrical power is among the midterm and long term strategic policies of many countries. Wind power has increased and due to various reasons attracted the public’s attention apart from its new competitive costs. Wind turbines can produce real energy and megawatt which are useful in the enhancement of transportation performance and confirmation of useful voltage. The nature of what is distributed through wind makes generators closer to consuming centers and removes losses of energy transportation.

Transient Stability Constrained Optimal Power Flow (TSCOPF) is an important tool for power system planning and operation. It is a big challenge in the field of power systems because of its high complexity and extensive computation effort involved in its solution. This paper presents a new approach to compute the transient stability constraint formulated by the Critical Clearing Time (CCT) in TSC-OPF. CCT has been determined by Dual-Kriging, a space interpolation method which has primarily been used in natural resources evaluation. Given the huge dimensionality of the problem, Pareto analysis is firstly used to reduce the number of input variables in an initial database to those which are significant to compute CCT. With the reduced variables, a new database has been constructed using a design of experiment to obtain a reduced number of observed points. As a result of this approach, the sets of dynamic and transient stability constraints to be considered in the optimization process are reduced to one single stability constraint with only a few variables. Finally, the size of the resulting optimization problem is almost similar to that of a conventional OPF. In the new approach, there is no limitation for the machine model. The effectiveness of the proposed method is tested on the New England 10-machine 39-bus system by using detailed model and the larger power system 50-machine 145-bus power system.

It is commonly accepted that designing Single Tuned Passive Filters (STPFs) is an optimization problem. By choosing the best passive filter, this work seeks to enhance the power quality of an actual distribution system in Tala city as a part of Egyptian network. Although the distribution feeder already has a passive filter, there are still some power quality problems. By using Jelly Fish Optimization Technique (JFOT) and Arithmetic Optimization Algorithm (AOA) to improve the placement and size of the low pass harmonic filter, this paper intends to cut overall power loss and reduce the influence of total harmonic distortion. The suggested filters' cost, real power losses, Total Harmonic Distortion ("THD"), and Individual Harmonic Distortion ("IHD") are optimized using single and multi-objective functions, respectively. Inequality constraints are used to establish upper and lower limits for filter parameters, quality factor, voltage, and harmonic distortion. The power balance constraint on equality will be applied. The results indicate that an optimally designed of STPF can successfully reduce high order harmonics and enhance system performance of STPF under various operating conditions to consistently follow to the established IEEE 519 standards'.

This paper studies the electromagnetic noise behaviour of a 5 phase interior permanent magnet machine with fractional slot concentrated winding designed. A numerical model is used for analysing the torque characteristics and electromagnetic forces. The vibroacoustics and mechanical resonance of the model are then investigated analytically. The purpose of both analyses is to identify the source of electromagnetic noise within the machine. A sonogram is also carried out on the existing prototype to correlate it with the numerical results. Finally, the choice of the appropriate method to attenuate noise for this case study is elaborated.