Journal of Power Electronics and Power Systems
Volume 16, Issue 3 (2026)
Table of contents
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Reactive power compensation in modern power system using advanced control: A comprehensive survey
Abstract: Reactive power management is really important for keeping voltage steady, improving the quality of electricity, reducing energy loss during transmission, and ensuring modern power systems work well. As more renewable energy sources, power-electronic loads, distributed energy resources, and weak-grid conditions are added to the power system, it's becoming harder to use old methods for controlling reactive power. Flexible AC Transmission System (FACTS) devices, especially Static VAR Compensators (SVCs) and Static …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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ENERGY CONSUMPTION MONITORING WITH A MOBILE APPLICATION
Abstract: Energy consumption monitoring via mobile applications has emerged as a crucial paradigm in modern smart grids and Internet of Things (IoT) frameworks, enabling real-time visibility and proactive energy management for end consumers. By bridging hardware sensors, wireless communication protocols, cloud analytics, and interactive mobile interfaces, these systems transform raw electrical telemetry into actionable insights. This technology addresses critical challenges such as peak demand management, energy inefficiency, phantom power loss, and …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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LightGBM-Based Grid Demand Estimation and Prediction for Intelligent Electricity Load Forecasting
Abstract: Correctly predicting electricity demand in emerging energy markets like India is the most effective way to maintain grid stability. This is particularly important. This article offers a comprehensive data- based structure that captures both the broad temporal dynamics and regional diversity. This technique utilizes a large-scale multi-dimensional feature space that includes temporal indicators, autoregressive lag terms, sliding-window rolling statistics, and state-level administrative markers. Our systematic benchmarking approach involves the use …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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Harmonic Minimization and Voltage Boosting In PV-based Multilevel Inverter Using Advanced Deep Learning Approach
Abstract: The integration of photovoltaic (PV) systems with multilevel inverters has gained significant attention due to their capability of producing smooth output waveforms with fewer distortions. However, conventional modulation and optimization techniques often face limitations in minimizing total harmonic distortion (THD) while simultaneously improving voltage levels under varying solar irradiance conditions. To address these issues, this work proposes an advanced deep learning-based framework for harmonic minimization and voltage boosting in PV-driven …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article
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Maximum Power Point Tracking of PV, Wind System Using Deep Learning Approach
Abstract: The mixing of renewable liveliness fonts, especially photovoltaic (PV) and gale schemes, has faster due to the rising call for fresh and supportable liveliness on a total rule. In the extended lane, these bases are cheap, copious, and naturally kind. Yet, they are basically irregular and nonlinear unpaid to them from top to bottom trust on ecofriendly variable star like fever, gale rapidity, and astral irradiance. Extreme Power Point Tracking …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article