scholarly journals Indirect Matrix Converter-Based Grid-Tied Photovoltaics System for Smart Grids

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5405
Author(s):  
Thomas Geury ◽  
Sonia Ferreira Pinto ◽  
Johan Gyselinck ◽  
Patrick Wheeler
Keyword(s):  
Smart Grids ◽  
Power Flow ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Matrix Converter ◽  
International Standards ◽  
Pv System ◽  
Control Approach ◽  
Pv Array

This paper proposes an Indirect Matrix Converter (IMC)-based grid-tied Photovoltaic (PV) system for Smart Grids (SGs). The PV array injects current in the ‘dc link’ of the IMC through an inductive link, and is connected to the SG with shunt and series connections, allowing for the compensation of current- and voltage-related Power Quality (PQ) issues, respectively, for the sensitive loads and the SG connection. A direct sliding mode-based controller is proposed to guarantee nearly sinusoidal currents in the connection to the SG, and sinusoidal voltages guaranteeing compliance with international standards, when supplying the sensitive loads. Additionally, a novel control approach for the ‘dc link’ voltage is synthesised to allow for the control of both the PV array current and the power flow to the SG. To guarantee the semiconductors safe commutation an asynchronous commutation strategy is derived. Simulation and experimental results show that the proposed system significantly improves PQ in the SG, minimizing the total harmonic distortion of the currents injected in the SG, and guaranteeing the quality of the voltage supplied to the sensitive loads, even in the occurrence of voltage sags or overvoltages.

Simulation of FPGA controlled Single Stage Boost Inverter for the Applications of Grid Connected Photovoltaic System

SIMULATION ◽  
2017 ◽  
Vol 93 (12) ◽  
pp. 1087-1097 ◽  
Author(s):  
B. Meenakshi Sundaram ◽  
B.V. Manikandan ◽  
M. Kaliamoorthy
Keyword(s):  
High Efficiency ◽  
Tracking Error ◽  
Design Procedure ◽  
Current Control ◽  
Single Stage ◽  
Photovoltaic System ◽  
Pv System ◽  
Control Approach ◽  
Pv Array

Improving the efficiency, reducing the cost and maintaining the power quality of a grid tied with Photovoltaic (PV) system are the important aspects of the present day research. The efficiency of power conversion can be improved by reducing the number of stages. In this paper, a single stage boost inverter topology fed from PV array is used and connected to a single phase grid. Less number of switching components is used in this topology compared to conventional technique and hence, the converter losses are reduced. This can also be very well extended to utility grid system. Further, the proposed topology includes battery backup unit which consists of a DC-DC converter to overcome the variations of Voltage based Maximum Power Point (VMPP) of PV array because of the variations in solar irradiance. The proposed system uses the current control approach which has zero steady state tracking error to control the single stage boost inverter. The proposed system offers many advantages such as low cost, high efficiency, compactness and high quality of output power. Design procedure and simulation results are obtained from MATLAB/SIMULINK and the experimental results are obtained from the model developed in the laboratory. The entire system is controlled by SPATRAN 3A FPGA board.

Power Flow Control in DC Microgrids Using an Integral Sliding Mode Control Approach

2021 ◽  
Author(s):  
Tabassum Haque ◽  
Tushar Kanti Roy ◽  
Farjana Faria ◽  
Most. Mahmuda Khatun ◽  
Tanmoy Sarkar ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Flow Control ◽  
Power Flow ◽  
Sliding Mode ◽  
Power Flow Control ◽  
Integral Sliding Mode Control ◽  
Dc Microgrids ◽  
Integral Sliding Mode ◽  
Control Approach ◽  
Mode Control

scholarly journals Deriving policies from connection codes to ensure ongoing voltage stability

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
David Ryan ◽  
Miguel Ponce De Leon ◽  
Niall Grant ◽  
Bernard Butler ◽  
Steffen Vogel ◽  
...  
Keyword(s):  
Network Management ◽  
Smart Grids ◽  
Power Flow ◽  
Electricity Grid ◽  
Control Approach ◽  
Network Connection ◽  
Initial Work ◽  
Ict System ◽  
High Level ◽  
Power And Energy

Abstract The management and transmission networks is becoming increasingly complex due to the proliferation of renewables-based distributed energy resources (DER). Existing control systems for DER are based on static specifications from interdependent network connection documents. Such systems are inflexible and their maintenance requires concerted effort between grid stakeholders. In this paper we present a new supplementary control approach to increase the agility of the electricity grid. The ICT system that underlies smart grids has the potential to offer, by analogy with ICT based network management, a control plane overlay for the modern smart grid. Policy-based Network Management (PBNM) is widely deployed in managed telecoms networks. We outline how PBNM can augment the management of power and energy networks and report on our initial work to validate the approach. To configure the PBNM system, we have used text mining to derive connection parameters at the LV level. In our simulations, PBNM was used in collaboration with a Volt-VAr optimisation (VVO) to tune the connection settings at each DER to manage the voltage across all the buses. We argue that the full benefits will be realised when stakeholders focus on agreeing relatively stable high-level connection policies, the policies being refined dynamically, and algorithms such as VVO that set connection parameters so they are consistent with those high-level policies. Thus faults, power quality issues and regulatory infringement can be identified sooner, and power flow can be optimised.

scholarly journals Forecast Quality of Physics-Based and Data-Driven PV Performance Models for a Small-Scale PV System

2021 ◽  
Vol 9 ◽  
Author(s):  
Moritz Stüber ◽  
Felix Scherhag ◽  
Matthieu Deru ◽  
Alassane Ndiaye ◽  
Muhammad Moiz Sakha ◽  
...  
Keyword(s):  
Smart Grids ◽  
Time Series Data ◽  
Short Term Memory ◽  
Data Driven ◽  
Series Data ◽  
Small Scale ◽  
Pv System ◽  
Advantages And Disadvantages ◽  
Forecast Quality

In the context of smart grids, the need for forecasts of the power output of small-scale photovoltaic (PV) arrays increases as control processes such as the management of flexibilities in the distribution grid gain importance. However, there is often only very little knowledge about the PV systems installed: even fundamental system parameters such as panel orientation, the number of panels and their type, or time series data of past PV system performance are usually unknown to the grid operator. In the past, only forecasting models that attempted to account for cause-and-effect chains existed; nowadays, also data-driven methods that attempt to recognize patterns in past behavior are available. Choosing between physics-based or data-driven forecast methods requires knowledge about the typical forecast quality as well as the requirements that each approach entails. In this contribution, the achieved forecast quality for a typical scenario (day-ahead, based on numerical weather predictions [NWP]) is evaluated for one physics-based as well as five different data-driven forecast methods for a year at the same site in south-western Germany. Namely, feed-forward neural networks (FFNN), long short-term memory (LSTM) networks, random forest, bagging and boosting are investigated. Additionally, the forecast quality of the weather forecast is analyzed for key quantities. All evaluated PV forecast methods showed comparable performance; based on concise descriptions of the forecast approaches, advantages and disadvantages of each are discussed. The approaches are viable even though the forecasts regularly differ significantly from the observed behavior; the residual analysis performed offers a qualitative insight into the achievable forecast quality in a typical real-world scenario.

scholarly journals Voltage Regulation in BDC Based on Fuzzy Logic Controller using Solar Power Generation

2019 ◽  
Vol 9 (2) ◽  
pp. 3481-3485
Keyword(s):  
Power Generation ◽  
Fuzzy Logic ◽  
Power Flow ◽  
Fuzzy Logic Controller ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Voltage Regulation ◽  
Settling Time ◽  
Voltage Gain ◽  
Operating Modes

The PhotoVoltaic (PV) based grid system coupled with Bidirectional DC-DC Converter (BDC) utilize Fuzzy Logic Controller (FLC) for increasing voltage gain and reduce the settling time of DC link voltage than conventional is presented. BDC satisfied the load requirements, and control the power flow from different sources such as PV, grid, and battery. However, problems in conventional system are high Total Harmonic Distortion (THD), DC link voltage gain and settling time of capacitor voltage. The generated power is used for improving the power quality at the output of the inverter using Sliding Mode Controller (SMC). The converter and inverter operate has bidirectional performance and utilize the hybrid power generation as mentioned. The battery can act as a load based on operating modes of BDC and power generation. It provides a comparative analysis of Proportional Integral (PI) and FLC method that is effectively performs harmonic reduction in BDC.

scholarly journals Improvement of Power Quality WECS using AI Based STATCOM

2020 ◽  
pp. 5-9
Author(s):  
P Ankineedu Prasad A Ayyappa Swamy and
Keyword(s):  
Power Quality ◽  
Harmonic Distortion ◽  
Control Technique ◽  
Control Approach ◽  
System A ◽  
Three Phase ◽  
Static Compensator ◽  
Custom Power ◽  
Linear Nature

The major concern in a growing power quality is harmonics distortion which is caused by the non-linear nature of the loads. This problem has drawn much attention from utilities, users and industries. To reduce the harmonic distortion for improving the power quality of the system a custom power devices has been proposed. A static compensator (STATCOM) is implemented at distribution level for overcoming several power quality problems. In this paper, new control technic i.e AI is proposed on shunt compensator to estimates the weight values of load currents. The control approach is based on the convergence of the load currents and property of the input signal. A working prototype of the STATCOM is implemented using three-phase VSC and AI control technique based PWM controller approach is developed in MATLAB/SIMULINK.

scholarly journals Least mean sixth control approach for three-phase three-wire grid-integrated PV system

2021 ◽  
Vol 12 (4) ◽  
pp. 2131
Author(s):  
Touheed Khan ◽  
Mohammed Asim ◽  
Mohammad Saood Manzar ◽  
Md Ibrahim ◽  
Shaikh Sadaf Afzal Ahmed
Keyword(s):  
System Performance ◽  
Solar Irradiation ◽  
Voltage Source ◽  
System Modelling ◽  
Solar Pv ◽  
Pv System ◽  
Control Approach ◽  
Pv Array ◽  
Three Phase ◽  
Conductance Method

<p><span lang="EN-US">This work proposes an adaptive filter based on a new least mean sixth control approach with incremental conductance method of MPP for 3-phase grid-incorporated photovoltaic (PV) system. The proposed system comprises a PV array, 3-phase DC to AC converter, maximum power point tracker (MPPT), three-phase electronic load, and a 3-phase grid. The combination of solar PV array and the voltage source converter (VSC) supplies power to the grid. The 3-phase inverter as a distribution static synchronous compensator (D-STATCOM) improves the quality of the system performance in case of zero solar irradiation. D-STATCOM also reduces total harmonic distortion (THD) in grid currents, improves power factor, and maintainsa constant voltage at the point of common coupling (PCC). The system modelling and simulation is achieved on MATLAB/Simulink. The proposed system performance has been found satisfactory and conform to IEEE-519 standards.</span></p>

scholarly journals Dynamic Sliding Mode Evolution PWM Controller for a Novel High-Gain Interleaved DC-DC Converter in PV System

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Taizhou Bei ◽  
Ping Wang ◽  
Liu Yang ◽  
Zhe Zhou
Keyword(s):  
Sliding Mode ◽  
High Gain ◽  
Input Current ◽  
The Novel ◽  
Pv System ◽  
Control Approach ◽  
Voltage Stress ◽  
Interleaved Boost Converter ◽  
Short Time ◽  
Dynamic Sliding Mode

Considering the disadvantages of the traditional high-gain DC-DC converter such as big size, high voltage stress of switches, and large input current ripple, a novel high-gain interleaved boost converter with coupled-inductor and switched-capacitor was proposed correspondingly and the operation principle together with the steady-state analysis of this converter was also described. Besides, a new control approach-dynamic sliding mode evolution PWM controller (DSME PWM) for the novel topological converter based on both dynamic evolution and sliding mode control was also presented. From the simulation results and experimental validation the proposed converter can fulfill high-gain boost, low ripple of both the input current and the output voltage. Furthermore, MPPT technique can be also achieved in a short time by simulation. The efficiency and stability of the converter proposed in this paper can be improved.

scholarly journals Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2137
Author(s):  
Mariz B. Arias ◽  
Sungwoo Bae
Keyword(s):  
Power Flow ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Pv System ◽  
Load Power ◽  
Solar Pv System ◽  
Power Forecasting

This paper provides models for managing and investigating the power flow of a grid-connected solar photovoltaic (PV) system with an energy storage system (ESS) supplying the residential load. This paper presents a combination of models in forecasting solar PV power, forecasting load power, and determining battery capacity of the ESS, to improve the overall quality of the power flow management of a grid-connected solar PV system. Big data tools were used to formulate the solar PV power forecasting model and load power forecasting model, in which real historical solar electricity data of actual solar homes in Australia were used to improve the quality of the forecasting models. In addition, the time-of-use electricity pricing was also considered in managing the power flow, to provide the minimum cost of electricity from the grid to the residential load. The output of this model presents the power flow profiles, including the solar PV power, battery power, grid power, and load power of weekend and weekday in a summer season. The battery state-of-charge of the ESS was also presented. Therefore, this model may help power system engineers to investigate the power flow of each system of a grid-connected solar PV system and help in the management decision for the improvement of the overall quality of the power management of the system.

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