Mitigation of supply voltage disturbances with a load voltage-controlled inverter

The three-phase four-wire Voltage Controlled Voltage Source Inverter (VC-VSI) is proposed as a multi-function voltage compensator for supply voltage disturbances to improve the load voltage quality. The VC-VSI is positioned in series between the disturbed source and sensitive loads. The VC-VSI works to immediately control the load voltage instead of its output voltage. The control process takes place in the dq0 reference frame supported by a PI controller, since it is easy to build reference signals in the DC quantity. The VCVSI successfully creates a three-phase compensation voltage instantaneously so that the load voltage is sinusoidal, balanced and constant at the nominal value. The VC-VSI has been modeled and simulated in PSIM simulation program to verify the proposed concept. The test results showed that the VC-VSI performed well as the voltage disturbance compensator, by retaining insignificant mismatch of � 0.5% and low THD of the load voltage of 1.02%

Integrasi Filter Daya Aktif dan Transfer Energi Surya dengan Menggunakan Inverter

CC-VSI berfungsi sebagai filter daya aktif tipe paralel dan sekaligus pengatur aliran daya aktif dari penel surya ke gri

OPTIMALISASI PEMBELAJARAN ELEKTRONIKA DAYA DENGAN MENGGUNAKAN SIMULASI KOMPUTER

Elektronika daya penting dipelajari oleh mahasiswa Program Studi Teknik Elektro. Namun, seringkali tidak mudah bagi mahasiswa untuk memahami kerja rangkaian elektronika daya dan membayangkan bentuk gelombang tegangan dan arus. Dosen juga seringkali kesulitan menyampaikan materi pembelajaran karena keterbatasan bahan visualisasi. Karena itu, metode alternatif yang tepat untuk pembelajaran mata kuliah Elektronika Daya adalah dengan simulasi komputer. Program simulasi yang digunakan adalah PSIM yang dikhususkan untuk simulasi rangkaian elektronika daya dan penggerak motor. Dengan simulasi komputer (PSIM), proses pembelajaran konverter menjadi lebih mudah. Hal ini terlihat dari hasil kuesioner yang menyatakan bahwa penggunaan PSIM membantu mahasiswa di Program Studi Teknik Elektro, UK Petra, Surabaya, untuk memahami konsep mata kuliah Elektronika Daya. Dari tingkat kelulusan yang tinggi, tampak bahwa penggunaan simulasi komputer mampu mengoptimalkan pembelajaran mata kuliah ini

A Simple Three-phase Three-wire Voltage Disturbance Compensator

The two-leg four-switch VC-VSI with a direct load voltage controller has been developed as a three-phase multi- functional voltage disturbance compensator for a three-phase three-wire system. By controlling only two legs (two phases) of the inverter, the third leg automatically generates the correct third voltage. The VC-VSI is connected in series between the PCC and loads by three single-phase matching transformers. The transformer primary windings are connected in delta. The VC- VSI operates to directly control the load voltage rather than its output voltage using a simple PI controller. The VC-VSI is able to produce automatically a three-phase compensation voltage so that the load voltage is sinusoidal, symmetrical and constant at a nominal value. Computer simulation verifies that the VC-VSI is able to perform well as a voltage disturbance compensator, although there is still an insignificant deviation (around 1%). The THD of the load voltage reduces to 1.4%

KP,Pembimbing Akademik TA/skripsi Hanny Tumbelaka

KP, Pembimbing Akademi

Modeling of Energy Production of Sengguruh Hydropower Plant Using Neuro Fuzzy Network

The hydroelectric power plant needs to be operated carefully to obtain optimal results, as it is highly dependent on water availability. Factors to take into account are the water discharge and the duration of time for the operation. Decomposition analysis method is the method chosen to manage the operation of hydropower. This paper discusses the hydropower operation model using artificial intelligence with Neuro Fuzzy Takagi-Sugeno (NFTS) network technique. The Hydropower plants selected for modeling is Sengguruh Hydroelectric Power Plant with a capacity of 29 MW. This model was developed using three factors as inputs. They are the discharge of water, turbine water discharge and duration of operation time. The output is electric energy production. The data used is the operating data for one year, from January to December. The model testing shows satisfactory results as it reveals the real conditions and the errors occurred on the network was below 6.7%

Simple Integration of Three-phase Shunt Active Power Filter and Photovoltaic Generation System with Fibonacci-Search-Based MPPT

This paper proposes a three-phase four wire current-controlled Voltage Source Inverter (CC-VSI) for both harmonic mitigation and PV energy extraction. For harmonic mitigation, the CC-VSI works as a grid current controlling shunt active power filter. Then, the PV array is coupled to the DC bus of the CC-VSI. The MPPT controller employs the Fibonacci search method. The output of MPPT controller is a DC voltage that determines the DC-bus voltage according to the PV maximum power. From computer simulation, the CC-VSI can effectively compensate for harmonics as well as deliver PV power to the grid

Modeling of Energy Production of Sengguruh Hydropower Plant Using Neuro Fuzzy Network

The hydroelectric power plant needs to be operated carefully to obtain optimal results, as it is highly dependent on water availability. Factors to take into account are the water discharge and the duration of time for the operation. Decomposition analysis method is the method chosen to manage the operation of hydropower. This paper discusses the hydropower operation model using artificial intelligence with Neuro Fuzzy Takagi-Sugeno (NFTS) network technique. The Hydropower plants selected for modeling is Sengguruh Hydroelectric Power Plant with a capacity of 29 MW. This model was developed using three factors as inputs. They are the discharge of water, turbine water discharge and duration of operation time. The output is electric energy production. The data used is the operating data for one year, from January to December. The model testing shows satisfactory results as it reveals the real conditions and the errors occurred on the network was below 6.7%