ANFIS Controlled Reactive Power Compensation Utilizing Grid-Connected Solar Photovoltaic System as PV-STATCOM

668-674This article proposes Adaptive Neuro Fuzzy Inference System (ANFIS) based control scheme for dual use of the grid connected solar photovoltaic (PV) system as the active power source when irradiance is high and as static compensator (STATCOM) for reactive power compensation to the grid when the irradiance level is inadequate. This way the strategy results in optimal utilization of the converter circuit of the solar PV. Thus, the dual use of solar PV system brings in additional advantages in terms of enhanced power transmission capability of the grid. To examine the efficacy of the proposed control strategy, the system is modeled and analysed in using MATLAB/Simulink tool and also validated over real-time simulator (OPAL-RT-OP5700)

Optimal Design and Control of Multi-Motor Drive System for Industrial Application

In this paper, the topology of the adjustable speed drive with active front end rectifier is considered in terms of application in multi-motor drives. A dynamic model of the rectifier with a coupled LCL filter is presented. A simulation model has been developed for the analysis of multi-motor drive system dynamics and power flow. Based on the simulation model, the functional possibilities of reversible induction motor drive with active front end converter and multiple voltage source inverters on a common DC bus at the motor side are analysed. One example of the application of a complex full regenerative multi-motor drive system on a common DC bus for an industrial crane, implemented with Siemens converters, is shown. The motor and generator mode of operation from the aspect of energy saving as well as the influence of drives on the distribution network from the aspect of higher harmonics and power factors are analysed. Siemens\u27s original software, Starter commissioning tool, for drives configuration and data acquisition is used

ANFIS Controlled Reactive Power Compensation Utilizing Grid-Connected Solar Photovoltaic System as PV-STATCOM

This article proposes Adaptive Neuro Fuzzy Inference System (ANFIS) based control scheme for dual use of the grid-connected solar photovoltaic (PV) system as the active power source when irradiance is high and as static compensator (STATCOM) for reactive power compensation to the grid when the irradiance level is inadequate. This way the strategy results in optimal utilization of the converter circuit of the solar PV. Thus, the dual use of solar PV system brings in additional advantages in terms of enhanced power transmission capability of the grid. To examine the efficacy of the proposed control strategy, the system is modeled and analysed in using MATLAB/Simulink tool and also validated over real-time simulator (OPAL-RT-OP5700)

ОТСЛЕЖИВАНИЕ ТОЧКИ МАКСИМАЛЬНОЙ МОЩНОСТИ ДЛЯ ГИБРИДНЫХ ВЕТРОВЫХ, СОЛНЕЧНЫХ И ТЕРМОЭЛЕКТРИЧЕСКИХ СИСТЕМ ВЫРАБОТКИ ЭЛЕКТРОЭНЕРГИИ ДЛЯ АВТОНОМНЫХ ПРИМЕНЕНИЙ

Возобновляемые источники энергии для производства электроэнергии, как правило, бесплатны, но не доступны постоянно из-за их спорадической доступности. Таким образом, для увеличения использования возобновляемых источников энергии используются гибридные соединения различных видов энергии. В этой статье рассматривается проектирование гибридной системы возобновляемых источников энергии, использующей методы отслеживания точки максимальной мощности (MPPT). Гибридная система состоит из солнечных фотоэлектрических панелей, небольшой ветряной турбины и модуля термоэлектрического генератора (ТЭГ). В этом исследовании рассматриваются четыре метода MPPT. Это алгоритм инкрементной проводимости (IC), контроллеры нечеткой логики (FLC), использующие правила 25 и 35, и контроллер нечеткой логики интервально-го типа 2 (IT2FLC). Каждый метод MPPT тестируется в системе, чтобы определить, какой из них обеспечивает наилучшее отслеживание максимальной мощности, стабильную работу и эффективность. Все исследуемые энергоресурсы подключены к шине постоянного тока. Напряжение этой шины подается на трехфазный инвертор. Выходное напряжение инвертора регулируется для сбалансированных и несбалансированных нагрузок. Генерирующая мощность спроектированной гибридной системы составляет 5 кВт, и система моделируется с использованием MATLAB Simulink R2017a

Simple and systematic LCL filter design for three-phase grid-connected power converters

International audienc

Replay Attack Detection in Smart Grids using Switching Multi-sine Watermarking

Cyber-Physical Systems (CPS) are systems that include physical and computational components linked by communication channels. In a Smart Grid (SG), the power plants and loads communicate with supervisors (Central Controllers (CC)) for managing the power demand more efficiently. As such, a smart grid can be regarded as a CPS. The computational components and communication links of a CPS can be subject to cyber-attacks. Researchers have been exploring detection and mitigation strategies for various types of cyber-attacks. An important type of attack is the replay attack for which various strategies based on watermarking signals have been proposed. One such scheme is based on switching multi-sine waves as the watermarking signal. This thesis adapts this scheme and develops a design procedure for detecting replay attacks for smart grids. Specifically, it examines the places in a grid where the watermarking signal can be injected and presents guidelines for choosing the amplitude and frequencies of sine waves that suit smart grids. One of the drawbacks of using a watermarking signal is the additional control cost (i.e., decrease in performance). In the context of smart grids, watermarking results in small fluctuations in delivered power. This thesis extends the single-input-single-output watermarking to a two-input-two-output watermarking scheme for smart grids in such a way to considerably lower grid power fluctuations due to watermarking. The proposed method is verified using a simulated grid connected inverter-based plants. Simulation results show that using the suggested strategy, the effect of watermarking on the overall grid power reduces significantly