In this paper, an innovative switching scheme named simultaneous space vector modulation (SSVM) is proposed for integrating various AC sources in the energy industry using a unified multiport converter. The proposed SSVM technique is applied to the multileg topology of a multiport converter, which is an encouraging option for the grid integration of renewable energy sources and multimachine drives. Considering the shared leg in the multileg converter, the proposed SSVM can utilize the utmost simultaneous switching states between different ports, resulting in lower switching loss and better DC‐link voltage utilization compared with the conventional sequential space vector modulation approach. A novel decision matrix concept is introduced to identify the simultaneous switching states. For this aim, according to the number of ports of the multileg converter, decision matrices containing valid simultaneous switching states are first calculated. Then, they are defined as look‐up tables in the proposed SSVM to be retrieved and exploited in every sampling period. The effectiveness of the proposed SSVM for a seven‐leg version of the multileg converter is assessed using the simulation analysis and real‐time validation. The capability of the proposed SSVM‐based multiport converter in grid integration of AC renewable energy sources is also verified considering two permanent magnet synchronous generator (PMSG)‐based wind turbines with real wind speed patterns. The simulation results confirm that the proposed SSVM is properly able to manage the power flow between different ports and improve the DC voltage utilization and switching loss compared with the sequential SVM.

A novel multiport converter switching scheme to integrate multiple renewable energy sources

This paper proposes a Permanent Magnet synchronous generator (PMSG) coupled wind energy conversion system (WECS). An exemplary illustration of a permanent magnet synchronous generator-fed with applied pitch angle control and gear drive control to acquire actual performances and compare the extracted power. The operation of WECS is a difficult task as its operation depends on many factor. One of the factor that affect the WECS system is availability of wind resources so overcome this problem and to make wind energy conversion systems more cost-effective, maximum power point tracking (MPPT) has been implemented to achieve maximum power. In this manuscript, the system has been implemented and a comparison has been done using Incremental Conductance (INC), Perturb & Observe (P&O), and Cuckoo Search Algorithm (CSA) MPPT techniques to improve system efficacy. System results have been simulated and validated in MATLAB/Simulink.

A Comparative Analysis of Wind Energy Conversion Systems Based on PMSG for Maximum Power Extraction

The paper proposes a methodology based on a supervised machine learning technique to model boost converter. Instead of mathematical modelling, data-driven modelling has been done. The input voltage, output voltage, time, reference and error data has been collected using MATLAB Simulink model. The supervised machine learning modelling has been done using support vector machine (SVM) and K-Nearest Neighbour (KNN) algorithm. The model with better accuracy has been used to predict the PI value as per reference and error to operate DC-DC-converter. The model has been analysed using confusion matrix, parallel co-ordinates plots, receiver operator characteristics (ROC) curve and scattering plot. The accuracy of data-driven modelling has been compared with mathematical modelling. The proposed algorithm has been tested on hardware proto type where data has been collected using KG045 voltage sensor and ACS712 current sensor.

Real-Time Modelling and Controlling of Boost Converter Using Supervised Learning

The paper proposes a methodology based on a supervised machine learning technique to model boost converter. Instead of mathematical modelling, data-driven modelling has been done. The input voltage, output voltage, time, reference and error data has been collected using MATLAB Simulink model. The supervised machine learning modelling has been done using support vector machine (SVM) and K-Nearest Neighbour (KNN) algorithm. The model with better accuracy has been used to predict the PI value as per reference and error to operate DC-DC-converter. The model has been analysed using confusion matrix, parallel co-ordinates plots, receiver operator characteristics (ROC) curve and scattering plot. The accuracy of data-driven modelling has been compared with mathematical modelling. The proposed algorithm has been tested on hardware proto type where data has been collected using KG045 voltage sensor and ACS712 current sensor. 

In this paper, a new concept based on an integrated hybrid energy system including photovoltaic (PV) and wind turbine (WT) for reactive power support of the grid is presented. Considering the shared grid‐side converter in hybrid energy systems, which is preferably responsible for delivering active power to the grid, the remaining capacity of the converter after providing active power management is utilized as a static synchronous compensator (STATCOM) to overcome the power quality problems in the main grid. For this aim, a new concept named PV‐WT‐STATCOM is proposed, and a flexible control scheme is accordingly designed, which enables a sufficient reactive power compensation in both steady and transient states. The steady‐state issues in the main grid are resolved using the remaining capacity of the shared inverter. In the transient mode, where a large amount of reactive power is probably needed for restoring the grid‐side voltage while the unoccupied capacity of the shared inverter is not sufficient, a new control strategy is developed for reducing the PV's generated power, and providing more unused capacity in the shared inverter. The effectiveness of the proposed configuration in handling reactive power compensation in both steady and transient states are carried out using MATLAB/Simulink. The extensive simulation results in presence of the variable weather conditions confirm that the proposed concept is properly able to improve grid‐side power factor and voltage in steady and transient modes, respectively, without requiring any additional STATCOM.

A new reactive power compensation concept for distribution systems using a grid‐integrated hybrid photovoltaic/wind turbine system: PV‐WT‐STATCOM

Design of novel universal converter for integration of solar and wind energy for AC and DC load

The water pumping system is widely used for household applications. This work focuses on a single-phase water pumping system. The PV and grid power is connected by the proposed modified universal c...

Nitish Kumar

Papers

Design of novel universal converter for integration of solar and wind energy for AC and DC load

Single-stage bridgeless water pumping system using a modified universal converter