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Over the past decade, wind power generation (WPG) has focused on energy generation, and much research is being done on renewable energy (RE), especially wind energy (WE). WE guarantee environmentally friendly power generation and help to meet national energy needs due to the declining trend of renewable resources. In this article, various Maximum Power Point Tracking (MPPT) techniques proposed for wind energy conversion system (WECS) modeling control management strategies and efficient wind power generation (WPG) from available sources have been discussed. In addition, a comparative survey of various familiar soft methods is accorded for an easy power system with the wind. At last, a cost-effective investigation arrived for MPPT techniques found on (a) Saving of energy, (b) period of profit, (c) generated income, (d) cost, (e) capacity utilization aspect, and (f) solidity.

The effect of irradiance and increase of temperature on the back surface of the PV module would decrease the standardized efficiency of PV. To overcome this problem observed results of solar module (ORSM) and Newton Raphson’s (iterative) methods have been proposed in this research. This article compares ORSM and iterative methods of changing the specifications of a single diode model (SDM) extracted from a PV module beneath standard test conditions (STC) to calculate irradiance and various operating conditions. To make this comparison, the exact value of each diode parameter on the STC is essential. These are achieved by accepted algebraic values and iterative techniques. Newton Raphson’s technique has been proven to be the mainly precise method to find these specifications in STC. Therefore, these specifications are used to different techniques that change the parameters of an SDM with radiation and temperature. The MATLAB model is designed to assess the conducting of individual techniques by PVM. The results are compared with the measured data, and the accuracy of photovoltaic module efficiency has been achieved through different technologies at different temperature and insolation levels.

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Nowadays, the growing use of non-linear loads in home appliances gives rise to harmonic pollution in the electrical power distribution system, which degrades the power quality. Many domestic appliances have power electronic converters that characteristically draw a non-sinusoidal current waveform. Short-term effects of non-linear appliances are causing malfunction and damage of electronic devices and long-term effects are thermal losses in equipment and cable, hasty aging, and reduced life period of devices. The whole impact depends on the power ratings and quantity of electrical appliances and their harmonic diversity. Usually, the existence of harmonics and their effects in a domestic zone are not monitored as compared to the industrial and commercial sectors. To ensure the quality of power, it is necessary that a harmonic study is carried out to identify the details of harmonic pollution that is polluting sources, the parameters or quantities they pollute in each instance, and effective improvement methods. In this paper, experimental analysis was performed which focuses on traditional single-phase home-based electrical appliances causing the quality of power down, and implementation of the passive filter is suggested for improvement in the quality of power. All experimental harmonic distortion measurements of home-based electrical appliances were performed in the power electronic laboratory of QUEST Nawabshah. Harmonic distortion indices measurements of home-based electrical appliances have been taken using the fluke power quality Analyzer (PQA) instrument. The analysis shows that from many types of loads, switch mode power supply (SMPS) based load is rich in harmonic distortion. Therefore, an equivalent model of SMPS load in MATLAB/Simulink is developed to analyze improvement in power quality by designing and implementation of the passive filter. The outcome of this research work will be helpful to make the source current sinusoidal by reducing harmonic distortion and thus improve the power quality.

The adoption of natural energy sources has seen a phenomenal rise during recent decades. The reason is an improvement in their energy conversion capabilities, as well as simplification of their associated electronic control circuitry. The result at their use at a localized distributed generation level. This work is an attempt to understand and present the power quality impacts of wind and solar power generation at a localized system of distribution voltage level. The simulation is finalized in MATLAB/SIMULINK. Next a very popular solving these power quality problems namely, active power filter beside its shunt type is tested over the simulated model. Moreover, its control algorithm is implemented mathematically with P-Q theory and the results are analyzed for better power quality improvement.

An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms (EAs) are computationally complex to obtain uniformly distributed and global Pareto front (PF). Therefore, here, hybrid two‐phase algorithm integrated with parameter less constraint technique is applied to solve OPF problem. Proposed technique combines single and multi‐objective EAs to find better convergence and evenly distributed PF. For the validation and effectiveness of proposed algorithm, various conflicting objective functions are formulated and implemented on IEEE 30 and 300‐bus network. Each case is independently run twenty times. Hyper volume indicator technique is employed to find the best PF, and the best‐compromised solution is obtained by using fuzzy decision‐making technique. Recently, maximum integration of wind and solar power is highly encouraged. Complexity of OPF is increased with the integration of uncertain renewable energy resources. Hence, 30‐bus test system is modified by replacing some conventional generators with the wind and solar generation. Uncertainties in wind, solar and load demand are modelled by appropriate probability distribution functions. Simulation results show that the proposed method can find the near global PF of highly complex problems subject to satisfying all the operational constraints.