광명역 고속철도 역사를 활용한 1.5MW급 태양광발전시스템 설계 연구

A remote supervision fault diagnosis meter for photovoltaic power generation systems

Technical, Economic, and Environmental Feasibility Assessment of Grid‐Connected Photovoltaic Power Generation Systems with Different Tracking Models in Hefei, China

In recent years, the capacity of distributed generations has a rapid growth, high penetration of distributed generation technology is facing new problems compared to the traditional distribution network. Therefore, it is necessary to evaluate the grid-connection before the distributed power source is connected to the grid. In this paper, based on the actual distributed photovoltaic and energy storage power generation system, the power control capability and response speed of the hybrid energy storage system are tested, The grid-connection of hybrid energy storage system and photovoltaic power generation system under smooth fluctuation, tracking plan instruction and peak to valley power generation scenario is evaluated, Provide a reference for the follow-up of distributed generations collocation network evaluation technology.

In recent years, the exploitation and application of green energy resources have attracted more and more attention of people. The training room presented is focused on the terminal applications of a photovoltaic power generation system (PPGS). Students can not only learn the composition and the general design principles, but also master the fundamental skills required for its design, installation and construction. The training room consists of numerous platforms, such as: PPGS, Wind and Photovoltaic Hybrid Power Generation System, Wind Power Generation Equipment, Simulative Grid-Connected Power Generation System, Electronic Technology Application of New Energy, etc. This enables the students to receive their project and professional skills training via assembling, adjusting, maintaining and inspecting, etc. various component parts of the photovoltaic and new energy power generation systems, to further grasp the fundamental and related theoretical knowledge, and to further reinforce their practical and operational skills, so as to improve their problem-analyzing and problem-solving abilities.

With the increasing concern for environmental issues and the rising demand for renewable energy, photovoltaic (PV) power generation has gradually stepped into the public view. This paper provides a comprehensive literature review of key technologies in photovoltaic power generation systems, aiming to summarize and analyze the current state of research, trends and key issues in PV power generation systems. Inverters play a crucial role in PV power generation systems. The role of the inverter is not only to convert electrical energy, but also to ensure that the system can realize the most efficient energy conversion under different light conditions through advanced technologies such as maximum power point tracking. This paper provides a side-by-side comparison of several common tracking techniques from the maximum power point, including Perturb and Observe, Incremental Conductance and Fuzzy Logic Control. At last, this paper discusses future perspectives for photovoltaic power generation technology, including the development of new photovoltaic materials to improve photovoltaic conversion efficiency and cost, as well as the enhancement of the intelligence and integration of photovoltaic power generation systems. These improvements are aimed at promoting photovoltaic power generation technology in the direction of being more efficient, more reliable, more intelligent, and more sustainable.

The radiation mechanism from the DC side of a photovoltaic (PV) power generation system is investigated at frequencies between 150 kHz and 30 MHz. To determine the source of the outbreak of the common mode noise, the balancing of the PV measurement model, which is composed of a PV panel and a 2-m-long DC cable, is measured by the mixed-mode S-parameter method. Results showthatthe PV model has good balance. Then, a balanced PV simulation model is proposed. To express the common mode noise, the input signal is supplied to only one of the two wires of the PV simulation model. To confirm the validity of the PV simulation model, the current flowing in the DC cable and the magnetic field from the PV simulation model are compared with those of the PV measurement model. A good agreement between the measured and simulation results is obtained. The PV simulation model is valid for evaluating the radiation noise from the DC side of the PV power generation system. Moreover, the effect of the frame wire of the PV power generation system on the radiation noise is evaluated. The radiation noise from the PV power generation system will strengthen or weaken depending on the layout of the frame wire, especially at low frequency. The radiation noise from the PV power generation system with a plurality of PV panels is also investigated. The peak of the frequency spectrum of the radiation noise shifts to lowfrequency when the number of PV panels is increased.

In order to reduce the impact of photovoltaic power output uncertainty on the economic operation of power system, this paper studies the problem of controllable output power of photovoltaic power generation system. In grid connected photovoltaic energy storage system, typical photovoltaic power generation capacity curves obtained by statistical analysis, using particle swarm optimization algorithm to optimize the economic model under different power system output control, when the lowest total cost is the optimal selection of the battery capacity. The battery capacity is determined, the photovoltaic power generation pre measurement, using particle swarm optimization algorithm to optimize the system economic operation model, each time the amount of output of photovoltaic power plant is expected to system debugging, the specific numerical output. Combined with the output of photovoltaic power generation, the output power of the battery is calculated by the analysis and calculation unit, and the economic operation of the grid connected photovoltaic energy storage power generation system is realized through the DC/DC control of the battery charging and discharging.

In this paper, a fault diagnosis method of ship photovoltaic (PV) power generation system based on a convolutional neural network (CNN) is proposed to ensure the smooth navigation of ships. Firstly, to understand the normal operation and fault state of the generation system, a simulation model of the photovoltaic power generation system is constructed using MATLAB / Simulink. Then, the model is simulated to extract the fault data under different fault conditions, and the eigenvalue extraction of the fault data is carried out by using the fast Fourier transform method. Following that, a fault diagnosis model is built using the convolutional neural network and trained accordingly. The final diagnostic results show that the established simulation model and convolutional neural network can provide support for the fault diagnosis of ship photovoltaic power generation system, and can autonomously detect the type of faults and locate the location of the faults after the faults occur in the generation system, to ensure the stable and safe operation of ship power generation system.

The main purpose of this study is to engage in research on a grid-connected photovoltaic (PV) power generation system smart inverter. The research content includes a smart maximum power point tracking (MPPT) controller and an inverter with power regulation. First, use the PSIM software package to establish the simulation environment of the grid-connected photovoltaic power generation system and use the Sanyo HIP-186BA19 photovoltaic module to form a 744 W system for simulation. In order to enable the photovoltaic module array (PVMA) to output the maximum power under different solar insolation and ambient temperature, the architecture is based on the extension theory-based smart MPPT method to improve the dynamic response and steady-state performance of photovoltaic power generation systems compared to perturb and observed (P&O) MPPT. When the sunshine is 1,000 W/m2, the photovoltaic power generation system adopts the extension theory-based maximum power tracking method. The time required to track the maximum power point is only 0.32 s, and the steady-state ripple is only 4.127 W. However, using the traditional P&O method requires 0.741 s to track the maximum power point, and the steady-state ripple reaches 18.131 W. Thus, the dynamic response speed of the maximum power tracking method proposed is 50% faster than that of the P&O method. The steady-state performance is also better compared to the P&O method. At the same time, a simple proportional-integral (PI) controller is used to regulate the DC-link voltage, output voltage, and current of the inverter to make the voltage of the grid-connected point stable at an effective value of 220 V. Then, the voltage-power control technology is added to the photovoltaic grid-connected inverter, and a simple proportional-integral controller is used to regulate the output of the smart inverter reactive power to improve the power quality of grid voltage. Finally, simulation and experimental results are used to verify the effectiveness of the regulation performance of the developed smart inverter.

the environmental factors and the design parameter of the photovoltaic (PV) power generation system have a large influence on the stability and reliability of the PV system. In order to find scientifically and rationally parameters for the stability of the system in the global control parameter scope, a global optimization method is proposed in this paper, which has a global consideration on the main factors that affect the stability of the system. By using this method, we make an optimization to the control parameter of the PV power generation system, and obtain a set of the optimal control parameters. It is demonstrated by simulation that the global optimization method can lead the PV system have a better stability. Finally, using the optimal control parameters obtained by the global optimization method, we present an analysis for the influences of the ambient and system physics parameters on the stability the PV power generation system, and discovered some rules of the system stability, which can play an important role in the PV system design.

Due to the danger of extinction of fossil energy resources and their harmful effects on the environment, interest in renewable energy sources has increased today. Furthermore, the photovoltaic energy, which is among renewable energy sources, has started to gain importance day by day. Especially, grid-connected Photovoltaic (PV) power generation systems have begun to be installed and used widely. In the grid-connected power generation systems, variable environmental conditions cause the DC voltage obtained from the PV systems to vary continuously. In the applications where traditional inverters are used, additional DC/DC converters are required to obtain an output at the desired frequency and amplitude. On the other hand, Z-source inverters which are a new concept can perform this raising and lowering process without the need for any intermediate circuit elements, thanks to the impedance network in their structures. For this reason, in this paper, Z-source inverter is designed for the PV systems. Z-source inverter modeling with impedance network is realized by using a simple boost switching method, and the modulation index and duty cycle parameters are adjusted to increase the DC voltage applied to its input. It is observed from the simulation results that using of the Z-source inverter is proper and efficient in the PV power generation systems.

The solar photovoltaic (PV) power generation system (PGS) is a viable alternative to fossil fuels for the provision of power for infrastructure and vehicles, reducing greenhouse gas emissions and enhancing the sustainability of road transport systems. A highway slope is generally an idle public area with high accessibility, which is the ideal application scenario for a PV PGS. The assessment of PV power generation potential (PGP) is key for the planning and design of PV PGS projects. Previous approaches to potential assessments are mainly based on digital maps and image processing techniques, which do not fully consider the impacts of the highway orientation, the slope geometric characteristics, and the PV panel placement scheme on the evaluation results. Therefore, this study proposes an assessment method for the PV PGP on highway slopes using the design or calculated highway and slope geometric parameters and the solar radiation received by PV panels under the desirable placement scheme. Highway segmentation and geometric parameter calculation methods were established, and the optimal PV array placement schemes for typical slope orientations were determined by simulating the PV power generation in the software PVsyst (version 7.2). Afterwards, the theoretical PGP could be calculated using the received solar radiation and the available slope area. By subtracting the energy loss caused by temperature changes, the operation of inverters, and the PV modules’ performance decay, the actual PV PGP could be obtained. Finally, a case study of the solar PGP assessment of a 1.97 km long highway section is provided, and the feasibility of the proposed method is verified.

A new maximum-power-point-tracking (MPPT) method for a photovoltaic (PV) power generation system was studied which can efficiently generate PV power even under changing weather conditions. In order to research a method suitable for the actual photovoltaic power system, PV characteristics of the maximum power point were measured for more than six months using a PV curve tracer. The actual maximum power points vary with conditions such as the surface temperature and the quantity of solar radiation. So, relationships between the maximum power point and circuit variables such as open circuit voltage and short circuit current were examined under various conditions appearing in the PV power generation system. It was found through measurements that the relationship between the maximum power and the current that the output power was almost a linear function in the actual solar arrays, regardless of the weather conditions. The MPPT method was proposed based on the obtained findings. It was verified through simulations and experiments that the proposed method enables the solar arrays to quickly generate the maximum power as determined by weather conditions at the time.

The distributed power generation is an energy development way which can most manifest the multiple advantages such as the energy saving, emission reduction, safety and flexible trait. As a kind of distributed power generation technology of renewable energy, photovoltaic power generation has already transited from supplement energy to alternative energy. Although solar photovoltaic power generation industry develops very quickly in China, actual application cases of substation photovoltaic grid-connected power generation system are few. In this paper, the research of photovoltaic grid-connected power generation system is used in Zhuishan substation in Bengbu Anhui province. The system is the first set of substation photovoltaic-connected grid power generation system in Anhui province. It has being operated for three years safety and steady. The whole application of the system is advanced and groundbreaking in the domestic.

The main advantages of PMSM are high torque density, high efficiency and small size. Photovoltaic power generation system PV generation technology is treated as the most promising technology among renewable energies. Photovoltaic (PV) power generation system is a promising source of energy with great interest in clean and renewable energy sources. To use different control systems, like Classical PI Controller, Expert System Fuzzy Logic Controller and Optimization PSO Controller. It used to control for power electronic (inverter) &PMSM which worked in the integration system to PV energy. There are two parts in this paper, first part advanced Optimal PSO, Fuzzy &PI Controller power electronic (inverter) with PV for using different control systems this part on the generator side at constant torque. Second part in the load side of variable torque, by using different control systems with PMSM to analyze all results after using the simulation model of proposed based PV system. The PV system is coupled with PMSM. A closed loop control system with a PI control, Fuzzy, PSO in the speed loop with current controllers.