• Proceedings of the KIEE Conference
• /
• 2007.11b
• /
• pp.311-313
• /
• 2007

Three phase power flow is commonly considered exclusively for the distribution systems, where single or double phase circuits may be present and loads may not always balanced between the three phases. This paper deals with modelling and analysis of grid connected photovoltaic (PV) system in three-phase power flow, with the consideration of the PV inverter output power limitations.

• International Journal of Computer Science & Network Security
• /
• v.22 no.4
• /
• pp.1-12
• /
• 2022

In order to overcome the power fluctuation issues in photovoltaic (PV) smart grid-connected systems and the inverter nonlinearity model problem, an adaptive backstepping command-filter and a double second order generalized Integrators (DSOGI) controller are designed in order to tune the AC current and the DC-link voltage from the DC side. Firstly, we propose to present the filter mathematical model throughout the PV system, at that juncture the backstepping control law is applied in order to control it, Moreover the command filter is bounded to the controller aiming to exclude the backstepping controller differential increase. Additionally, The adaptive law uses Lyapunov stability criterion. Its task is to estimate the uncertain parameters in the smart grid-connected inverter. A DSOGI is added to stabilize the grid currents and eliminate undesirable harmonics meanwhile feeding maximum power generated from PV to the point of common coupling (PCC). Then, guaranteeing a dynamic effective response even under very unbalanced loads and/or intermittent climate changes. Finally, the simulation results will be established using MATLAB/SIMULINK proving that the presented approach can control surely the smart grid-connected system.

• Proceedings of the KIEE Conference
• /
• 2008.10c
• /
• pp.185-187
• /
• 2008

This paper proposed design and development of a photo voltaic (PV) array fed induction motor drive. A drive system using a chopper circuit to track maximum power from the PV for different solar insolation and a current controlled voltage source inverter (CC-VSI) to optimally match the motor to PV characteristics is presented. The model equations governing interaction of torque and flux producing components of motor current with available solar power is developed for the operation of the system at optimum efficiency. Performance of the system is presented for different realistic operating conditions, which demonstrates its special features for applications such as solar water pumping system, solar vehicles and floor mills located in hilly and isolated areas.

• Journal of Electrical Engineering and Technology
• /
• v.13 no.2
• /
• pp.849-857
• /
• 2018

This paper aims is to study the effect of photovoltaic generation penetration and STATCOM on the transient stability of a single machine infinite bus (SMIB) system based on the rotor angle stability. The influence of STATCOM and PV penetration can be seen through damping oscillations, so that the generator remains stable with the rest of the system for various fault conditions. The simulation results obtained make it possible to efficient identify harmful and beneficial impact of increasing the PV penetration and the existence of STATCOM capability. The system model is created in MATLAB/ SIMULINK software.

• International Journal of Computer Science & Network Security
• /
• v.22 no.5
• /
• pp.1-4
• /
• 2022

The growth in global population and industrialization has led to an increasing demand for electricity. Accordingly, the electricity providers need to increase the electricity generation. Due to the economical and environmental concerns associated with the generation of electricity from fossil fuels. Alternative power recourses that can potentially mitigate the economical and environmental are of interest. Renewable energy resources are promising recourses that can participate in producing power. Among renewable power resources, solar energy is an abundant resource and is currently a field of research interest. Photovoltaic solar power is a promising renewable energy resource. The power output of PV systems is mainly affected by the solar irradiation and ambient temperature. this paper investigates the utilization of machine learning unsupervised neural network techniques that potentially improves the reliability of PV solar power systems during integration into the electrical grid.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.16 no.4
• /
• pp.281-292
• /
• 2016

The proposed scheme is based on the modified perturb and observe (P&O) algorithm combined with the sliding mode technique. A modified P&O algorithm based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. Under partially shaded conditions and temperature, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of MPPT is particularly important. Conventional techniques are easy to implement but produce oscillations at MPP. The proposed method is applied to a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under non-uniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. The modified perturb and observe sliding mode controller successfully overcomes the issues presented by non-uniform conditions and tracks the global MPP. Compared to MPPT techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state, and provides more precise tracking.

• 한국신재생에너지학회:학술대회논문집
• /
• 2005.06a
• /
• pp.123-126
• /
• 2005

Recently, because of the depletion of fossil fuels and the environmental pollution by using fossil fuels and harmfulness of atomic power plants. the interests concerning new and renewable energy resources are rising increasingly. And of all new and renewable energy sources the PV generation systems are recognized as the most useful and desirable renewable energy source in allowance for installation conditions. In this development, the 3kWp photovoltaic power generation system is realized to verify the performance of the 3kWp PCS developed by Hyundai Heavy Industries Co. (HHI). The photovoltaic array used in this system is composed of 60 modules of 50Wp capacity. The developed system is tested as procedures and items of test regulation recognized by governmen and the experimental results show the excellent electrical characteristics. Now, the 3kWp PCS developed is installed in the PV model house built in HHI plant and is being tested for practical use commercialization.

• Transactions of the Korean hydrogen and new energy society
• /
• v.17 no.3
• /
• pp.338-346
• /
• 2006

In this paper, the test results of medium-size(120 kW class) PV system which was installed in the Taeahn thermal power station of Korea Western Power Co., Ltd., were summarized for developing the practical technology to applicate high voltage grid connection PV system. The 120 kW photovoltaic system which was consisted of 1,300 modules, PCS, and 150 kVA transformer station has been operated since Aug. 05, 2005. For verifying the modeling results of PV system, the operation data was compared with modeling results which was executed commercial PSCAD/EMTD and Psim tools. An equivalent circuit model of a solar cell has been also used for solar array modeling. A series of parameters required for array modeling have been estimated from general specification data of a solar module. A PWM voltage source inverter(VIS) and its current control scheme have been analyzed by using P&O (perturbation and Observation) MPPT algorithms technique.

• Fire Science and Engineering
• /
• v.28 no.6
• /
• pp.47-51
• /
• 2014

In this study we investigated the risk of electric shock and the possibility of current flow from the sprayed water when fire took place in a photovoltaic (PV) installed building. The sprayed water was analysed by using a mathematical model, a water spray system for water conductivity was made. With changing the initial water flow rate the water resistance was measured, and compared with the numerically expected value. As the experimental and numerical computing result, we were able to define the requirements that must be considered in the fire of PV systems.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.27 no.9
• /
• pp.74-82
• /
• 2013

This paper presents a novel maximum power point tracking for a photovoltaic power (PV) system with a direct control plan. Maximum power point tracking (MPPT) must usually be integrated with photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver maximum available power. The maximum available power is tracked using specialized algorithms such as Perturb and Observe (P&O) and incremental Conductance (indCond) methods. The proposed method has the direct control of the MPPT algorithm to change the duty cycle of a dc-dc converter. The main difference of the proposed system to existing MPPT systems includes elimination of the proportional-integral control loop and investigation of the effect of simplifying the control circuit. The proposed method thus has not only faster dynamic performance but also high tracking accuracy. Without a conventional controller, this method can control the dc-dc converter. A simulation model and the direct control of MPPT algorithm for the PV power system are developed by Matlab/Simulink, SimPowerSystems and Matlab/Stateflow.