scholarly journals Management of a Solar-PV System with Energy Storage

2021 ◽  
Vol 19 (3) ◽  
pp. 233-245
Author(s):  
Shital Thorat ◽  
Vaiju N Kalkhambkar
Keyword(s):  
Energy Management ◽  
Reactive Power ◽  
Frequency Control ◽  
Harmonic Distortion ◽  
Solar Pv ◽  
Pv System ◽  
Static Synchronous Compensator ◽  
Pv Inverter ◽  
Solar Pv System ◽  
Remaining Capacity

A solar-PV system is generally connected to distributed generation (DG) by the utility grid. The solar inverter retains some capacity after active power generation. Reactive power compensation can be achieved by utilizing the remaining capacity of the solar-PV inverter. This paper introduces an energy management system (EMS) for real and reactive power management. The proposed EMS includes two modes: PV-STATCOM and islanding. In PV-STATCOM mode, the PI control is used whereas for the islanding mode, voltage frequency control is employed. This paper proposes the energy management of reactive power by utilizing the solar photovoltaic (PV) inverter as a static synchronous compensator (PV-STATCOM). Therefore, no other additional flexible AC transmission system controllers or series/shunt capacitors are required. During the islanding mode, the storage provides continuous supply to the load. The system is simulated using single-phase and three-phase modes with the hardware results also revealed. The proposed scheme provides a significant improvement in power factor while reducing the total harmonic distortion.  

scholarly journals Modelling and analysis of grid-connected solar-PV system through current-mode controlled VSC

2020 ◽  
Vol 167 ◽  
pp. 05005
Author(s):  
Elsayed Saad ◽  
Yasser Elkoteshy ◽  
Usama AbouZayed
Keyword(s):  
Reactive Power ◽  
Harmonic Distortion ◽  
Current Mode ◽  
Electrical Energy ◽  
Solar Pv ◽  
Pv System ◽  
Load Variations ◽  
Three Phase ◽  
Solar Pv System ◽  
Voltage Sourced Converter

Recently, solar-PV energy becomes one of the most vital renewable resources of electrical energy as it is utilized in all life applications. In case of connecting the solar-PV system with the utility grid a voltage-sourced converter (VSC) is required to convert the extracted solar-PV array’s DC power into AC. There are many methods to dominate the active and reactive power produced from the VSC. In the following model we use the current mode control as it has some features such as highly output accuracy, protection against over current troubles, robustness against AC side voltage and load variations. As the produced power from the solar cells is intermittent, the point of maximum power has to be tracked using an MPPT technique. Also, in order to reduce the system harmonics a filter must be implemented in the model. In this paper, a complete model of 50KW grid-connected solar-PV system using current-mode controlled two-level three-phase VSC (grid imposed frequency VSC) is implemented. Also, the Incremental Conductance model to track the point of maximum available power (MPPT) and LCL filter has been provided into the system with total harmonic distortion (THD) analysis in PSCAD/EMTDC

scholarly journals Implementation of Solar-PV Inverter as STATCOM during Nighttime in Grid-Connected System (PV-STATCOM)

2020 ◽  
Vol 15 (3) ◽  
pp. 411-419
Author(s):  
Indraman Tamrakar ◽  
Kishor Joshi ◽  
Pranisha Karki ◽  
Sagar Bimali ◽  
Tara Aryal
Keyword(s):  
Reactive Power ◽  
Current Trend ◽  
Active Power ◽  
Solar Pv ◽  
Control Logic ◽  
Pv System ◽  
Night Time ◽  
Power Generator ◽  
Pv Inverter ◽  
Solar Pv System

Grid-connected PV-system generates active power only during daytime and it remains completely idle or sleeping during nighttime.In an interconnected power system balance between active and reactive power consumption and generation is very essential tomaintain the frequency and voltage constant. The current trend is that the reactive Power is either supplied by generators or by separatereactive Power compensators such and shunt capacitor, STATCOM, etc. If the grid needs reactive power during night time, thesleeping inverter of the solar-PV system can be used as a reactive power generator without exceeding the volt-amp rating of theinverter and this scheme is named PV-STATCOM in this paper.This paper presents the concept of PV-STATCOM and its control logic. The inverter of the grid-connected Solar-PV system acts asan active power generator during daytime and reactive power generator during nighttime. The proposed scheme is simulated inMATLAB Simulink and the simulation results are presented. The simulation result shows that the proposed control logic for PV-STATCOM works satisfactorily.

scholarly journals Power enhancement in a grid connected solar PV System by using PLL-neural based converter

2019 ◽  
Vol 5 (11) ◽  
pp. 1-9
Author(s):  
Avinash Kumar ◽  
Vivek Kumar Kostha ◽  
Satyam Kumar Prasun
Keyword(s):  
Neural Network ◽  
Power Output ◽  
Control Algorithm ◽  
Reactive Power ◽  
Network Control ◽  
Neural Network Control ◽  
Solar Pv ◽  
Pv System ◽  
The Neural Network ◽  
Solar Pv System

This work deals with neural network control algorithm-based grid connected to solar photo voltaic (PV) system consisting of DC-AC converter. The reference solar-grid current for three-leg VSC are estimated using neural network control algorithm. The neural network control algorithm based solar PV system is modeled in MATLAB R2018a along with SIMULINK.. This study presents an artificial neural network-based controller for regulating the level of active and reactive power output. First, the three phase currents from the VSI are measured and compared with the three reference currents. The neural network is trained to have minimum output error. It was concluded that the power output from the system was found to be190 KVA in case of system having no intelligent controller and 700 KVA in case of system with AAN based control. The voltage of output is maintained to be 20 kV in the grid system for analysis purpose. Thus the proposed control is expected to be implemented in the renewable energy resources for better output.

scholarly journals Power Quality and Performance Analysis of Grid-Connected Solar PV System Based on Recent Grid Integration Requirements

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Estifanos Abeje Sharew ◽  
Habtemariam Aberie Kefale ◽  
Yalew Gebru Werkie
Keyword(s):  
Power Quality ◽  
High Harmonic ◽  
Harmonic Distortion ◽  
Distribution Networks ◽  
Photovoltaic System ◽  
Solar Pv ◽  
Pv System ◽  
Solar Pv System ◽  
Maximum Penetration ◽  
The Impact

The electrical energy demand is steadily growing, and hence, the integration of photovoltaic system to the distribution networks is also dramatically increasing though it has a significant effect on the network’s power quality. The purpose of this paper is to analyze the impact of solar PV integration on the power quality of distribution networks. The study is conducted using ETAP software, taking one of the radial distribution networks available in Bahir Dar city during the peak of connected loads which has the least voltage profile. Furthermore, the optimal location of the PV in the network is done using particle swarm optimization. Accordingly, the appropriate location of the PV system is determined to be the farthest end bus (bus 34). Also, the impact in terms of voltage and current harmonic distortion on the distribution feeder network is comparatively discussed by comparing the distribution system parameters with different penetration levels of solar PV system. The simulation results obtained demonstrate that high harmonic distortion level is injected correspondingly as the penetration capacity of PV system increased which indicates that the solar PV system should be integrating only up to a maximum possible capacity the network can carry. The integration of the PV system beyond this maximum penetration level causes production of high harmonic distortion which adversely affects the system performance. At the maximum penetration level which allows the acceptable harmonic distortion limit, the total voltage harmonic distortion and current demand distortion are found to be 4.97% and 14.98%, respectively.

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