Enhacement of microgrid technologies using various algorithms

The electric power systems around the globe are gradually shifting from conventional fossil fuel-based generating units to green renewable energy sources. The motivation behind this change is the environmental and economic concerns. Furthermore, the existing power systems are being overloaded day by day due to the continuously increasing population, which consequently led to the overloading of transformers, transmission, and distribution lines. Despite the overwhelming advantages of renewable energy sources, there are few major issues associated with them. For example, the injection and detachment of DGs into the current power system causes disparity among produced power along with connected load, thus distracting system’s equilibrium and causes unwanted voltage and frequency oscillations and overshoots. These oscillations and overshoots may cause the failure of connected equipment or power system if not properly controlled. The investigation as such challenges to improve the frequency and voltage, the islanded’s power regulation and connected MG under source and load changes, which contain classic and artificial intelligence techniques. Moreover, these techniques are used also for economic analysis. To evaluate the exhibitions of microgrid (MG) operations and sizing economic analysis acts as a significant tool. Optimization method is obligatory for sizing and operating an MG as reasonably as feasible. Diverse optimization advances remain pertained to microgrid to get optimal power flow and management

Dual output DC-DC quasi impedance source converter

A double output port DC-DC quasi impedance source converter (q-ZSC) is proposed. Each of the outputs has a different voltage gain. One of the outputs is capable of bidirectional (four-quadrant) operation by only varying the duty ratio. The second output has the gain of traditional two-switch buck-boost converter. Operation of the converter was verified by simulating its responses for different input voltages and duty ratios using MATLAB SIMULINK software. Its average steady-state output current and voltage values were determined and used to determine the ripples that existed. These ripples are less than 5% of the average steady-state values for all the input voltage and duty ratio ranges considered

A niche particle swarm optimization-perks and perspectives

Optimization is a method for searching the best candidate solution to lessen or expand the value of the objective problem. Broadly speaking algorithms can be orgabized into four main classes, i.e. biology-based algorithms, physics-based algorithms, sociology-based algorithms, and human intelligence-based algorithms. Swarm-intelligence (SI) based algorithms appeared as a commanding family of optimization techniques. The paper aims to commence a brief review of meta-heuristic algorithms especially Particle swarm optimization (PSO) and its sister variants in short. The understudy paper covers all important aspects of swarm intelligence PSO with deep insight learning for practitioners and scholars

Novel supervisory management scheme of hybrid sun empowered grid-assisted microgrid for rapid electric vehicles charging area

The spread of electric vehicles (EV) contributes substantial stress to the present overloaded utility grid which creates new chaos for the distribution network. To relieve the grid from congestion, this paper deeply focused on the control and operation of a charging station for a PV/Battery powered workplace charging facility. This control was tested by simulating the fast charging station when connected to specified EVs and under variant solar irradiance conditions, parity states and seasonal weather. The efficacy of the proposed algorithm and experimental results are validated through simulation in Simulink/Matlab. The results showed that the electric station operated smoothly and seamlessly, which confirms the feasibility of using this supervisory strategy. The optimum cost is calculated using heuristic algorithms in compliance with the meta-heuristic barebones Harris hawk algorithm. In order to long run of charging station the sizing components of the EV station is done by meta-heuristic barebones Harris hawk optimization with profit of USD 0.0083/kWh and it is also validated by swarm based memetic grasshopper optimization algorithm (GOA) and canonical particle swarm optimization (PSO)

Control of distributed generation systems for microgrid applications: A technological review

Microgrid implementation requires effective and efficient strategies for controlling the grid parameters. Various problems are encountered with the deployment of distributed generation in terms of reverse power, an imbalance between power generation and nonlinear load. This paper is focused on the existing controllers in terms of their merits and limitations. Furthermore, the state of the art of the local power distribution system especially on renewable energy resources along with energy storage methods is explored. Reliability and stability of power flow between sources and consumers via voltage source inverter are also considered. The emerging microgrid concept in islanding and grid-connected mode using different controller along with soft computing algorithm are presented. This paper gives the reader fast insight into the context of the controller and its application

Exposure of Electrically Driven Vehicles and Smart Vehicle-to-Grid Technology

Electric vehicles are considered as an asset to the smart grid to maximize economic and environmental performance under a variety of operating conditions. It is more important to maintain network resiliency during emergency conditions and disruptive events. This paper discusses the impact of smart grid-to-vehicle (G2V) and vehicle-to-grid (V2G) implementation on distribution systems and examines current scenarios. The V2G system has a strong impression on the main factors of the utility network such as the efficiency, reliability, loss of lines, and durability of the system. The paper also highlights the economic merits of the V2G concept that heavily doped on the scheme of charging/discharging and vehicle participation. The use of artificial intelligence techniques would also increase the performance of network connectivity soon. Moreover, the V2G technology is incorporated in the charging scenarios to convalesce the payback program of the existing solar grid system

Prominence of Filtering Techniques for Harmonics Mitigation in Advanced Power Electronics Systems

With the advancement in technology, non-linear loads, continue to increase, and the enigma of harmonics is getting more and more serious. The huge addition of electronic loads in power systems has formed the problem of harmonic generation that has resulted in many associated drawbacks. This paper aims to analyze the harmonics in advanced power electronics-based systems and describes a solution to mitigate them through two distinguished filtering techniques. A rigorous analysis is done concerning the generation of harmonic distortion through different types of loads and harmonic mitigation by employing passive and active power filters. The active power (adaptive) filtering method mitigates all sorts of undesirable frequency components using artificial intelligence (AI) based algorithms by calculating the weight of the fundamental component and generating a harmonics replica to subtract it from the original periodic wave. The simulations that were done show that the indicated techniques can mitigate undesirable harmonics and can lower the total harmonic distortion (THD) effectively according to the statutory limit of the IEEE 519-2014 standard, thus lowering the associated drawbacks of harmonic generation in advanced power electronics systems

Prominence of Filtering Techniques for Harmonics Mitigation in Advanced Power Electronics Systems

With the advancement in technology, non-linear loads, continue to increase, and the enigma of harmonics is getting more and more serious. The huge addition of electronic loads in power systems has formed the problem of harmonic generation that has resulted in many associated drawbacks. This paper aims to analyze the harmonics in advanced power electronics-based systems and describes a solution to mitigate them through two distinguished filtering techniques. A rigorous analysis is done concerning the generation of harmonic distortion through different types of loads and harmonic mitigation by employing passive and active power filters. The active power (adaptive) filtering method mitigates all sorts of undesirable frequency components using artificial intelligence (AI) based algorithms by calculating the weight of the fundamental component and generating a harmonics replica to subtract it from the original periodic wave. The simulations that were done show that the indicated techniques can mitigate undesirable harmonics and can lower the total harmonic distortion (THD) effectively according to the statutory limit of the IEEE 519-2014 standard, thus lowering the associated drawbacks of harmonic generation in advanced power electronics systems

Energy management scheme for electric vehicle with rapid-charging facility utilizing grid power storage packs and photovoltaic generator

To lessen the burden on the mainstream, the simplest means is to use an extreme mix of renewable resources. A grid-interactive electric-driven vehicle fast-charging area boosted by the solar power network and a couple of lithium chargeable batteries as a dynamic stationary energy storage powerhouse is valued and understudied. The scheme management is backed by pretending the fast station under variant irradiance scenarios taking consideration of the price of the power traveling waves and the battery state of health. The feasibility of deploying local stationary storage with the ultra-power charger to make it less dependent on the grid is demonstrated in the defined scenarios. The execution of the energy management strategy is carried by employing a rule-based energy management controller with the efficient algorithm scheme applies to an advanced fast car charging deck. It reveals that the process works well and has a power efficient control of the car refueling deck under study. Indeed, this project is of the best concern for reviewing and assessing several configuration and control networks of fast charging through the application of paradigms with Matlab/Simulink simulations