Focusing on mitigating global challenges arising from hydrocarbon‐based sources, the integration of cogeneration power plants with solar photovoltaics offers a viable solution. The intermittent nature of renewable resources presents a challenge to the consistent performance of cogeneration systems. To address these issues, this work introduces a novel framework for integrating cogeneration power plants (CGPPs) with solar photovoltaic systems. The key innovation of this research lies in its dual‐algorithm approach that seamlessly blends cogeneration power plants with solar photovoltaic. This study proposed an integrated approach, employing the Derivative Log Sigmoid‐Woodpecker Mating Algorithm (DLS‐WMA) and Optimized Artificial Neural Networks (O‐ANN), to combine cogeneration power plants with solar photovoltaics in industrial distribution systems. The methodology is aimed at achieving a cost‐effective, efficient system design, enhancing the efficiency of cogeneration power plants, and introducing energy storage batteries for uninterrupted power generation under diverse atmospheric conditions and loads. Additionally, the proposed system includes rechargeable batteries for energy storage to support critical services when the solar plant is offline and the CGPP cannot meet the power demand. The industrial system’s photovoltaic component is tuned using the DLS‐WMA for cost minimization and O‐ANN for solar irradiance prediction, ensuring continuous power flow by optimizing both the photovoltaic system and the cogeneration power plant (CGPP) system. Real‐time datasets are used to compare the results obtained by this new approach with those of the previous state‐of‐the‐art algorithms. The error with O‐ANN prediction is 1.2%, compared to 4.1% with the existing WMA‐ANN technique, while the cost‐benefit with DLS‐WMA shows a 9% improvement over the WMA‐ANN technique. The experimental outcomes demonstrate the efficiency of this new approach. Collaboration with industry stakeholders and policymakers is crucial for the large‐scale deployment of this system, facilitating the adoption of sustainable energy practices in industrial distribution systems.

Department Electric vehicles (EVs) have gained popularity over traditional gasoline vehicles due to their lower environmental impact, reduced maintenance costs, and government incentives. However, challenges such as limited charging infrastructure, battery reliability issues, high initial costs, and restricted travel range hinder widespread adoption. Wireless Power Transfer (WPT) presents a promising solution by offering a seamless and efficient charging experience without physical connections. This review explores the advancements in WPT technology, highlighting its benefits and challenges, such as power transfer efficiency affected by coil misalignment and air gaps. WPT methods, including near-field and far-field techniques, are discussed with a focus on inductive, capacitive, and resonant inductive approaches. The paper delves into the role of compensation topologies in enhancing power transfer efficiency and provides a comprehensive overview of current research trends. The review also includes a mathematical analysis of compensation networks, focusing on different combinations of series (S) and parallel (P) topologies, such as SS, SP, PP, and PS configurations, along with an examination of leading manufacturers in the WPT sector for EVs.

The World Energy Council, in its 2019 World Energy Scenarios Report, advised policymakers to identify innovative opportunities for the integration of renewable energy resources into existing electrical power systems to achieve a fast and affordable solution. However, large-scale industries with cogeneration units are facing problems in handling the higher penetration levels of intermittent renewable energies. This paper addresses large-size photovoltaic power integration problems and their optimal operation. This work considers the case of a chemical industry having both cogeneration power and solar photovoltaics. Here, a modified firefly algorithm and a hybrid power resource optimization solver are proposed. The results of the proposed method are compared with other benchmark techniques, to confirm its advantages. The proposed techniques can be used in industries having cogeneration power plants with photovoltaics for better optimization and to meet the guidelines specified in IEEE 1547. The voltage ramp index is proposed to determine the voltage ramp up and down with intermittent solar irradiance. Additionally, a machine learning technique is used to predict the cogeneration plant efficiency at different loads and the solar irradiance under varying weather conditions. Finally, this paper proposes the effectiveness of the modified heuristic technique and certain guidelines, including solvers for industrial use.

Electricity is a vital part in every day’s life and is one of the greatest gifts given by science to the mankind. It has provided all the comfort to the human beings right from lighting to large machines through computers and amusement equipment. Electrical power system (EPS) is moving fast into new horizons and making the entire world dynamic just like the speed of electron. In this paper, the latest trends that are happening globally in electrical power systems are highlighted. The major changes that are taking place in all applicable fields such renewable energy, especially photovoltaics (PV), smart grids (SG), ulta high voltage (UHV) transmission, distributed generation, micro grids, de-regulation and e-mobility are reviewed for updating all the stake holders of it. Also, the adoption of latest technologies such as internet of things (IoT) and artificial intelligence (AI) are briefly mentioned.

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Distribution generation is greatly supporting the utility grids in balancing the power demand and maintaining the power quality. The main contributors of distributed generation are renewable energy resources such as wind and photovoltaics. However the increased penetration levels of these renewable energy resource, which are intermittent, causing certain technical issues such as power quality and protection coordination. This paper deals with the protection coordination and reactive power issues due to higher renewable energy penetration. The power distribution network of a known industry having large PV power plant is taken for case study. Simulations are performed at various PV penetration levels with E-TAP software to know the effects on reactive power and relay coordination by creating fault at different locations of distribution network. All the results are tabulated and analyzed with the help of spread sheets and SPSS software. Conclusions are drawn with a direction for the need of certain policy guidelines and standards for future work.