scholarly journals A Sliding Mode Controller for Boost Inverter Based Power Management System Using Battery and Photovoltaic System

2021 ◽  
Author(s):  
Dipak Kumar Dash ◽  
Pradip Kumar Sadhu ◽  
Alok Kumar Shrivastav
Keyword(s):  
Energy Loss ◽  
Power Management ◽  
Power Flow ◽  
Sliding Mode ◽  
Lithium Ion ◽  
Design Tool ◽  
Photovoltaic System ◽  
Sliding Mode Controller ◽  
Battery Charging ◽  
Photovoltaic Panel

Abstract A design tool with appropriate characteristics must be available to support the power management process. A major role of the battery is the Charge State (SOC) or simply the power of the battery measured using the original voltage value. A photovoltaic panel with a 12V DC voltage of 650W is used in this process. The approach is simulation/modeling which aims to improve battery charging process and controlling the power flow using sliding mode controller to enhance the performance. The goal is to research the energy and power loss of a smart battery-buffered load controller (BBSL) when used for the primary frequency controls on demand (PFC). Firstly, the depletion of battery energy arising from the PFC charging and discharge methods is evaluated. This research analyses the influence of PFC droop properties and dead-bands on the energy loss in a Lithium ion battery, by simulation measurements using a single stage BBSL. The model represents a nonlinear current-dependent resistance to the total voltage decrease of the battery. The energy loss simulated as the energy lost in this resistance is thus measured. HPSO-algorithm used in this analysis is one of the photovoltaic models used in photovoltaic systems, with maximum power, and with optimal conditions. The results showed that the battery charging simulation increased by 0.05% every 30 minutes. Furthermore, the simulation validation using Matlab/Simulink is carried out with data in accordance with the prototype design, at an efficiency of 88.4%.

scholarly journals Photovoltaic Cleaning Optimization: A Simplified Theoretical Approach for Air to Water Generator (AWG) System Employment

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4271
Author(s):  
Lucia Cattani ◽  
Paolo Cattani ◽  
Anna Magrini
Keyword(s):  
Energy Loss ◽  
Energy Production ◽  
New Technologies ◽  
Optimization Procedure ◽  
System Size ◽  
Design Tool ◽  
Semiempirical Model ◽  
Photovoltaic Panel ◽  
Water Amount

Photovoltaic panel efficiency can be heavily affected by soiling, due to dust and other airborne particles, which can determine up to 50% of energy production loss. Generally, it is possible to reduce that impact by means of periodic cleaning, and one of the most efficient cleaning solutions is the use of demineralized water. As pauperization of traditional water sources is increasing, new technologies have been developed to obtain the needed water amount. Water extracted from the air using air to water generator (AWG) technology appears to be particularly suitable for panel cleaning, but its effective employment presents issues related to model selection, determining system size, and energy efficiency. To overcome such issues, the authors proposed a method to choose an AWG system for panel cleaning and to determine its size accordingly, based on a cleaning time optimization procedure and tailored to AWG peculiarities, with an aim to maximize energy production. In order to determine the energy loss due to soiling, a simplified semiempirical model (i.e., the DIrt method) was developed as well. The methodology, which also allows for energy saving due to an optimal cleaning frequency, was applied to a case study. The results show that the choice of the most suitable AWG model could prevent 83% of energy loss related to soling. These methods are the first example of a design tool for panel cleaning planning involving AWG technology.

Study on Sliding Mode Control in Bidirectional DC/DC Converter Based on State Space Averaging Method

2014 ◽  
Vol 678 ◽  
pp. 399-405
Author(s):  
Yan Mei
Keyword(s):  
Sliding Mode Control ◽  
State Space ◽  
Averaging Method ◽  
Sliding Mode ◽  
Good Stability ◽  
Sliding Mode Controller ◽  
Battery Charging ◽  
Mode Control ◽  
Logic Diagram

Bidirectional DC/DC converter is used for the battery charging and discharging. The sliding mode controller based on state space averaging algorithm is used for controlling bidirectional DC/DC converter. Two kinds of working modes, buck mode and boost mode, have been analyzed and three kinds of working states which are consisted by two working modes have been deeply discussed, and the automatic switch logic diagram when battery charging and discharging through the bidirectional DC/DC converter has been presented. Situation of system based on S1, S2 conducting alternately has been studied, and the simulations were also presented. According to the results, the characteristics of good stability and transient can be confirmed.

Active Power Flow Control in Inverter using Sliding Mode Controller

2021 ◽  
Author(s):  
Arpit Sharma ◽  
Adarsh Kashyap ◽  
Ayushi Saxena ◽  
Arunprasad Govindharaj ◽  
A Ambikapathy
Keyword(s):  
Flow Control ◽  
Power Flow ◽  
Sliding Mode ◽  
Active Power ◽  
Sliding Mode Controller ◽  
Power Flow Control ◽  
Active Power Flow

Ant lion optimized hybrid intelligent PID-based sliding mode controller for frequency regulation of interconnected multi-area power systems

2020 ◽  
Vol 42 (9) ◽  
pp. 1594-1617
Author(s):  
Gomaa Haroun AH ◽  
Yin-Ya Li
Keyword(s):  
Power Systems ◽  
Power System ◽  
Sliding Mode ◽  
Photovoltaic System ◽  
Frequency Regulation ◽  
Sliding Mode Controller ◽  
Physical Constraints ◽  
Optimization Task ◽  
Suggested Technique ◽  
Ant Lion

In this article, a novel hybrid intelligent Proportional Integral Derivative (PID)-based sliding mode controller (IPID-SMC) is proposed to solve the LFC problem for realistic interconnected multi-area power systems. The optimization task for best-regulating parameters of the suggested controller structure is fulfilled by the ant lion optimizer (ALO) technique. To assess the usefulness and practicability of the suggested ALO optimized IPID-SMC controller, three test systems – that is, four-area hybrid power system, two-area reheat thermal-photovoltaic system and two-area multi-sources power system – are employed. Different nonlinearities such as generation rate constraint (GRC) and governor dead band (GDB) as a provenance of physical constraints are taken into account in the model of the two-area multi-sources power systems to examine the ability of the proposed strategy for handling the practical challenges. The acceptability and novelty of the ALO-based IPID-SMC controller to solve the systems mentioned above are appraised in comparison with some recently reported approaches. The specifications of time-domain simulation disclose that the designed proposed controller provides a desirable level of performance and stability compared with other existing strategies. Furthermore, to check the robustness of the suggested technique, sensitivity analysis is fulfilled by varying the operating loading conditions and plant parameters within a particular tolerable range.

scholarly journals Sliding-mode controller for a photovoltaic system based on a Cuk converter

2021 ◽  
Vol 11 (3) ◽  
pp. 2027
Author(s):  
Carlos Andrés Ramos-Paja ◽  
Daniel Gonzalez-Motoya ◽  
Juan Pablo Villegas-Seballos ◽  
Sergio Ignacio Serna-Garces ◽  
Roberto Giral
Keyword(s):  
Global Stability ◽  
Sliding Mode ◽  
Photovoltaic System ◽  
Sliding Mode Controller ◽  
Formal Proofs ◽  
Pv System ◽  
Cuk Converter ◽  
Pv Systems ◽  
Operation Conditions ◽  
Wide Range

The wide range of step-up and step-down input-output voltage characteristic of the Cuk converter makes it a good candidate to interface photovoltaic arrays in both classical and distributed maximum power point tracking systems. Because its two inductor structure, Cuk converters have continuous input and output currents, which reduce the additional filtering elements usually required for interfacing dc/dc converter topologies. However, PV systems based on Cuk converters usually do not provide formal proofs of global stability under realistic conditions, which makes impossible to ensure a safe operation of the PV installation. Therefore, this paper proposes a high performance sliding-mode controller for PV systems based on Cuk converters, which regulates the PV voltage in agreement with the commands imposed by a MPPT algorithm, rejecting both load and environmental perturbations, and ensuring global stability for real operation conditions. Finally, the performance of the regulated PV system is tested using both simulations and experiments.

scholarly journals Design of Super Twisting Sliding Mode Controller for a Three-Phase Grid-connected Photovoltaic System under Normal and Abnormal Conditions

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3773
Author(s):  
Kamran Zeb ◽  
Tiago Davi Curi Busarello ◽  
Saif Ul Islam ◽  
Waqar Uddin ◽  
Kummara Venkata Guru Raghavendra ◽  
...  
Keyword(s):  
Steady State ◽  
Dynamic Behavior ◽  
Reactive Power ◽  
Sliding Mode ◽  
Operating Conditions ◽  
Photovoltaic System ◽  
Frequency Variation ◽  
Sliding Mode Controller ◽  
Pv System ◽  
Three Phase

The novelty behind the research in this paper is to investigate the Super Twisting Sliding Mode Controller (ST-SMC) for efficiently injecting both active and reactive power under normal and abnormal operating conditions for a three-phase grid-connected photovoltaic (PV) system. The ST-SMC is aimed to inject sinusoidal current to the grid with low Total Harmonic Distortion (THD), to avoid chattering with easy real implementation, and to enhance the quality of disturbance rejection and sensitivity to parameter variation. The test under normal conditions includes initialization, steady state behavior, dynamic behavior, and interrupting the injection of acting and reactive power while the abnormal conditions consists of voltage sag, voltage swell, frequency variation, DC-link variation, and inclusion of 5th harmonics, etc. The phase lock loop used for synchronization is based on a synchronous reference frame that works well under distorted grids and nonideal. Automatic code is generated in PSIM 9.1 for hardware implementation in the DSP board TMS32F28335 from Texas Instruments while code composer studio 6.2.0 is used for debugging. The real time testing is executed using Typhoon Hardware in Loop (HIL) 402 device on the DSP board. The results authenticate the fastness, effectiveness, and robustness for both steady state and dynamic behavior under various scenarios of the designed controller.

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