Design and Analysis of Improved Mountain Gazelle Optimization Tuned PID and FOPID Controllers for PV MPPT System
Performance Analysis of Power System Dynamics with Facts Controllers: Optimal Placement and Impact of SSSC and STATCOM
Empowering Hybrid EVS with Bidirectional DC - DC Converter for Seamless V2G and G2V Integration
Solar Wireless Charging of Battery in Electrical Vehicle
Advancements in Multilevel Inverter Technologies for Photovoltaic-Z-Source Based EV Applications: A Comprehensive Analysis and Future Directions
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
This paper proposes a shortcoming distance finder model for an underground power link utilizing an Arduino Uno microcontroller. The utilization of underground links presents an issue of distinguishing the shortcoming area and the distance of the link issue as it isn't accessible to see as in the event of an above-ground link. Hence, the underground link shortcoming distance finder is created to distinguish the specific shortcoming area and the distance of the underground link issue from the base station in kilometers. The framework will recognize the blamed link underground and will send the data to the control room by utilizing IoT cloud. A 16x2 LCD display is associated with the microcontroller to show the data. In the event of a shortcoming, the voltage across series resistors changes accordingly, which is then fed to a microcontroller ADC pin to foster accurate digital information to a programmed Arduino microcontroller that further displays the exact shortcoming area from the base station in kilometers. The same data will be updated on the IoT cloud. Incidences of underground link deficiencies in the delivery and power transmission framework are inevitable due to several reasons; thus, a rapid correction and, therefore, automatic shortcoming location are utilized to minimize the time to rectify flaws to make the framework reliable by identifying weak areas quickly, resulting in reduced restoration time and interruption. Proper shortcoming finding and identifying approaches are needed to reduce the intervention time issue and improve reliability.
Automatic light control systems have garnered significant attention for their potential to enhance energy efficiency and user convenience across various settings. This paper provides a comprehensive overview of these systems, elucidating their principles, components, applications, and associated benefits. The primary objective of automatic light control systems is to intelligently regulate lighting levels based on environmental factors such as occupancy, ambient light, and time of day. Various sensors, including Passive Infrared (PIR), ultrasonic, and photoresistors, are commonly employed to detect changes in the surroundings and trigger appropriate lighting adjustments. Advanced control algorithms and communication protocols facilitate seamless integration with building automation systems, enabling centralized management and optimization of lighting across diverse zones. Moreover, the advent of smart lighting solutions leveraging Internet of Things (IoT) platforms enables remote monitoring and control, empowering users to personalize lighting preferences and further optimize energy consumption. The paper critically reviews the key features, benefits, and challenges associated with automatic light control systems, underscoring their pivotal role in promoting sustainability, comfort, and cost-effectiveness in both residential and commercial environments. Additionally, the paper discusses future research directions, highlighting opportunities for innovation in sensor technology, data analytics, and human-centric lighting design to propel the capabilities and adoption of these systems.
Flexible-surface induction cooktops require handling various induction heating loads simultaneously, each with different behaviors and power requirements. Multi-output inverter topologies are designed to manage power independently with minimal components and high power density. However, traditional modulation strategies face limitations in ensuring soft switching for reduced losses. Wide band gap devices offer a new approach, where soft switching isn't necessary for high efficiency. To achieve flexibility, domestic induction heating relies on multi-coil structures for optimal temperature distribution. Different coil-pot systems are treated as independent loads, each with specific parameters and power needs. Multi-output topologies, derived from full bridge, half-bridge, and single switch configurations, are developed to tackle the challenge of multi-load power transmission. These topologies balance complexity, versatility, and efficiency based on factors like inductor size, number, target material, and heating distance. A cost-effective and versatile family of multi-output resonant inverters, derived from the half-bridge topology, is described. This work further develops this idea by proposing a high-efficiency implementation of an array multi-output converter with a column structure able to operate under load mismatch achieving reduced power losses, which eases integration into a flexible IH cooktop. Highefficiency multi-output converters are a key enabling technology for the widespread use of flexible surface IH cooktops. Due to the application characteristics, complex modulation strategies appear, requiring an additional effort in the topology design, ensuring reduced power losses regardless of the nature of the switching sequence. However, they suffer from limitations when applying classical modulation strategies to ensure soft switching, which is required to reduce transistor losses and achieve efficient operation. The prototype shows different outputs for induction heating, and in the future, those outputs can be used to develop the IH cooktop.
This paper presents the Load Frequency Control of two modern interconnected power systems. Area 1 comprises a combination of conventional generators, Solar PV, and Solar Thermal, while Area 2 combines conventional generators with wind and Solar Thermal. Governor dead band and appropriate generation rate constraints are considered for conventional generators in both areas. Additionally, Superconducting Magnetic Energy Storage (SMES) and Battery Energy Storage (BES) are the two forms of energy storage units (ES) included in the system. The three controllers PID, Tilt- Integral-Derivative (TID), and Fractional-Order Proportional-Integral-Derivative (FOPID) are investigated and compared for TAMSPS. The controller gains are optimized using the PSO algorithm. The system dynamic performances are studied with a 1% step load perturbation and random loads in Area 1 with different controllers.
In this paper, a novel approach for the optimal placement of Phasor Measurement Units (PMUs) and Power Flow Measurement (PFM) devices is presented to ensure continuous observability of the power system network. The method incorporates the impact of contingency, specifically addressing the potential loss of a single PMU, in the optimal allocation strategy, thus ensuring full observability even under adverse conditions. To further optimize the deployment of monitoring devices, the concept of a zero-injection bus is introduced into the proposed technique, resulting in a reduced number of required PMUs and PFMs. Leveraging the Cuckoo Optimization Algorithm (COA), a heuristic technique is employed for the optimal location of these monitoring devices. The effectiveness and efficiency of the proposed method are validated through extensive testing on a 7-bus test system, IEEE-14, 57, and 118 bus test systems, as well as a real-world system. Comparative analysis with existing literature substantiates the superior performance of this approach.
