- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[IEEE 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - Xi'an, China (2019.6.3-2019.6.6)] 2019 IEEE 10th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) - The application of cascade power electronic transformer in large-scale photovoltaic power generation system
摘要： In this paper, a high frequency isolated photovoltaic dc side connection system based on dual active bridge (DAB) converter with multiple photovoltaic arrays with parallel input and cascade output is proposed. The power transmission capacity of DAB converter is analyzed, its phase-shifting control strategy is designed, and a 300kW/3kV photovoltaic power generation system model is built in MATLAB/Simulink for simulation. The simulation results verify the feasibility of the system structure and the effectiveness of the proposed control strategy.
关键词： maximum power point tracking (MPPT),PV array,photovoltaic power generation,dual active bridge (DAB)
更新于2025-09-11 14:15:04
-
[IEEE 2019 Chinese Control And Decision Conference (CCDC) - Nanchang, China (2019.6.3-2019.6.5)] 2019 Chinese Control And Decision Conference (CCDC) - Event-triggered Dual-mode Control of Maximum Power Point Tracking for Photovoltaic Arrays
摘要： Photovoltaic power generation systems will switch between two situations: uniform illumination and local shadow. For maximum power point tracking (MPPT), the conventional strategy is often ef?cient in only one situation. But for both situations with switching, there face problems such that the tracking time may be too long or it may fall into the local maximum power point (LMPP). Aiming at these problems, in this paper, an event-triggered dual-mode control technology is proposed, which enables the system to work with high ef?ciency and high precision under both uniform illumination and local shadow. Under the uniform illumination, the maximum power point is tracked by the perturbation method (P&O), while in a local shaded environment, the current ?owing through the bypass diode acts as a trigger signal which enables Particle Swarm Optimization (PSO) to track the Global Maximum Power Point (GMPP). The simulation experiment by Matlab shows that in both the uniform illumination and local shadow, the algorithm of event-triggered dual-mode control is ef?cient in MPPT and has a fast and smooth transition between P&O and PSO, overcoming the problems of conventional strategy.
关键词： Event-triggered Dual-mode control,Photovoltaic power generation,Maximum power point tracking
更新于2025-09-11 14:15:04
-
A New Approach to H-Infinity Control for Grid-Connected Inverters in Photovoltaic Generation Systems
摘要： The present study investigates the stability problem of the grid-connected inverters (GCIs) for possible variations in grid impedance. A new type of H1 control method is proposed for the current control loop of inverters, where the third weighting function is determined using the game theory. The proposed method is applied to the GCI in a photovoltaic system and its response to variations in grid impedance is investigated. Computer simulations conducted for comparison of H1 and PI controller indicate the effectiveness of the proposed control algorithm. Simulation results also show that the proposed algorithm significantly outperforms the PI controller under the conditions of varying grid impedance.
关键词： solar energy,photovoltaic power generation,robust control,power electronics,grid-connected inverters,weighting function,game theory,H-in?nity control
更新于2025-09-11 14:15:04
-
Optimal Design Method of a Hybrid CSP-PV Plant Based on Genetic Algorithm Considering the Operation Strategy
摘要： Solar energy is the most abundant renewable energy and it has a great potential for development. There are two ways to transfer solar energy to electricity: photovoltaic power generation (PV) and concentrated solar power (CSP). CSP-PV hybrid system can be fully integrated with the advantages of the two systems to achieve low cost, stable output, and manageable to generate electricity. In this paper, the operation strategy of the CSP-PV system is proposed for parabolic trough CSP system and PV system which are now commercially operated. Genetic algorithm is used to optimize the design of the system and calculate PV-installed capacity, battery capacity, and storage capacity of CSP system, making the system to achieve the lowest cost of electricity generation. The results show that the introduction of the CSP system makes it possible to ensure the stability of the output power of hybrid system when the battery capacity is small, which greatly improves the annual utilization time of the PV and reduces solar abandonment. When the system is optimized by operation characteristics of Spring Equinox, the lowest LCOE is 0.0627 $/kWh, the rated capacity of PV and CSP system are 222.462 MW and 30 MW, storage and battery are 356.562 MWh and 14.687 MWh. When the system is optimized by the operation characteristics of the whole year, the lowest LCOE is 0.0555 $/kWh, the rated capacity of PV and CSP system are 242.954 MW and 30 MW, respectively, and the capacity of heat storage and battery are 136.059 MWh and 8.977 MWh. The comparison shows that the power generation curves of the hybrid system are similar in the two optimization-based methods—Spring Equinox based and annual based, but LCOE is lower when optimized by the annual operation characteristic, and the annual utilization rate of the system is higher when optimized by Spring Equinox based.
关键词： concentrated solar power,operation strategy,genetic algorithm,LCOE,photovoltaic power generation,solar energy,CSP-PV hybrid system
更新于2025-09-11 14:15:04
-
[ACM Press the 2019 International Conference - Shanghai, China (2019.09.20-2019.09.22)] Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence - RICAI 2019 - Control and simulation of power balance in optical storage micro-grid based on photovoltaic power supply
摘要： Micro-grid is one of the most effective ways to utilize renewable energy. It is of great significance to study how to realize the energy management of micro-grid and optimize the utilization of energy. Micro-grid is a system unit composed of distributed power generation, energy storage device, energy conversion device, load, control and protection device, etc. It is an autonomous system that can realize self-control, protection and management. Most of the power sources in the micro-grid are distributed power sources, such as wind turbine, photovoltaic power generation, micro gas turbine, fuel cell, super-capacitor, flywheel battery and other energy storage devices. Connecting them to the user end has the characteristics of low cost, low voltage and low pollution, and is the mainstream development direction of the current power system. This paper introduces the composition and control technology of micro-grid, as well as the energy management and simulation of optical storage micro-grid in island and grid-connected mode. In this paper, two modes of island and grid connection are simulated by Simulink. The results show that the optical storage micro-grid system with switching mechanism can effectively improve the utilization rate of photovoltaic power, realize the efficient integration and utilization of distributed power supply, and carry out load side operation management autonomously by switching switch.
关键词： Island mode,Photovoltaic power generation,Grid-connected,Micro-grid,Intelligent control
更新于2025-09-11 14:15:04
-
[IEEE 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - Beijing (2018.10.20-2018.10.22)] 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - Photovoltaic-load model based-on load and power supply correlation
摘要： Photovoltaic power generation has become a non-negligible part of hybrid power generation in regions with sufficient solar energy or countries. Aiming at the correlation of light intensity and load fluctuations, this paper proposes a new photovoltaic-load model method for building correlations. The non-parametric kernel density estimation method was used to analyze the probability distribution of light intensity and node load, and the corresponding bandwidth was obtained. The correlation between light intensity and node load was analyzed by using Kendall rank correlation coefficient. The load nodes were divided into strong light intensity related nodes and illumination. There are two types of weakly correlated nodes; for the node with strong light intensity, the Copula function is used to establish the photovoltaic-load correlation model. For the weakly correlated nodes of light intensity, the Latin hypercube sampling method was used to establish the load fluctuation model. Finally, the 220kV system in B city is taken as an example to verify the practicability and effectiveness of the proposed model.
关键词： Photovoltaic power generation，Node load，Kendall rank correlation coefficient，Copula function
更新于2025-09-11 14:15:04
-
[IEEE 2019 4th International Conference on Power Electronics and their Applications (ICPEA) - Elazig, Turkey (2019.9.25-2019.9.27)] 2019 4th International Conference on Power Electronics and their Applications (ICPEA) - High voltage gain quasi Z source DC – DC converter contribution to photovoltaic systems
摘要： in this paper, an off-grid solar photovoltaic system based on quasi z source DC-DC converter is presented. In mainly renewable energies the big problem is the low voltage produced; so, the most challenge in photovoltaic system is how to increase the input voltage. The first solution is by associate panels in series, it is the mostly way to augment power and voltage, but it can generate a power loses (connection, shading effect). The second solution is by using a DC-DC boost converter, it is an efficacy technique; except, to obtain a high voltage gain it is necessary to increase the duty cycle; that will be saturate the inductors. An evolutionary power electronics converter may be the best solution, the quasi Z source DC-DC converter make it possible to obtain a high voltage gain with a lower duty cycle (0<D<0.5). The objective of this study is to supply the load by high voltage using one photovoltaic panel and quasi Z source DC-DC converter; for that, the system is modeled and controlled by a perturb & observe algorithm MPPT which can generate the duty cycle D of the converter. The analysis is carried out through simulation in the Matlab? environment, the results obtained clearly depicts the viability and the efficiency of the system.
关键词： Photovoltaic power,voltage gain,MPPT,duty cycle,quasi z source DC-DC converter
更新于2025-09-11 14:15:04
-
[IEEE 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) - Istanbul, Turkey (2019.3.21-2019.3.24)] 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD) - Photovoltaic power forecasting through temperature and solar radiation estimation
摘要： The Utilization of the photovoltaic power as a source of electricity has been strongly growing. The unpredictability of the PV power energy induces frequency fluctuations and power system instabilities. Thus, short term PV power prediction, from one hour to several hours, becomes very important to ensure grid stability. The photovoltaic power depends on different weather conditions mostly temperature and solar radiation. Therefore, weather data forecasting becomes highly recommended. This paper presents a comparison study between the adaptive neuro-fuzzy inference system and the feed forward neural network for one hour ahead temperature and solar radiation estimation using different input data. Two and four hours ahead forecasting of the metrological data are done using the feed forward neural network model. Using the forecasted weather data, the photovoltaic power is deduced. The accuracy of the topologies is based on the normalized root mean square error (NRMSE), and the mean absolute percentage error (MAPE) The simulation results show that the FFNN outperforms the ANFIS model.
关键词： photovoltaic power,FFNN,ANFIS,prediction,solar radiation,temperature
更新于2025-09-11 14:15:04
-
Study of Short-Term Photovoltaic Power Forecast Based on Error Calibration under Typical Climate Categories
摘要： With the increasing permeability of photovoltaic (PV) power production, the uncertainties and randomness of PV power have played a critical role in the operation and dispatch of the power grid and ampli?ed the abandon rate of PV power. Consequently, the accuracy of PV power forecast urgently needs to be improved. Based on the amplitude and ?uctuation characteristics of the PV power forecast error, a short-term PV output forecast method that considers the error calibration is proposed. Firstly, typical climate categories are de?ned to classify the historical PV power data. On the one hand, due to the non-negligible diversity of error amplitudes in different categories, the probability density distributions of relative error (RE) are generated for each category. Distribution ?tting is performed to simulate probability density function (PDF) curves, and the RE samples are drawn from the ?tted curves to obtain the sampling values of the RE. On the other hand, based on the ?uctuation characteristic of RE, the recent RE data are utilized to analyze the error ?uctuation conditions of the forecast points so as to obtain the compensation values of the RE. The compensation values are adopted to sequence the sampling values by choosing the sampling values closest to the compensation ones to be the ?tted values of the RE. On this basis, the ?tted values of the RE are employed to correct the forecast values of PV power and improve the forecast accuracy.
关键词： Latin hypercube sampling,error calibration,photovoltaic power forecast,nonparametric kernel density estimation,typical climate categories
更新于2025-09-11 14:15:04
-
Control and Optimization of Residential Photovoltaic Power Generation System With High Efficiency Isolated Bidirectional DC–DC Converter
摘要： Currently, residential photovoltaic power generation system is increasingly used worldwide. In this paper, an optimized structure of residential photovoltaic (PV) power generation system with 1500V DC bus is proposed. It includes PV panels, a three-level boost converter, a high efficiency isolated bidirectional DC-DC converter, battery and three-phase five-level DC-AC converter that can work under islanding mode or grid-connected mode. The higher DC bus voltage greatly reduces line loss and improves efficiency of the system. An energy management scheme used for the system is proposed in this paper to guarantee the stability of the system and to increase its economic benefits. Besides, the optimized method for the structure of the bidirectional dc-dc converter is proposed. This structure can achieve higher DC voltage gain and higher efficiency. Furthermore, for low voltage battery application in the residential system, LLC and CLLC under DC transformer (DCX) mode are evaluated and the LLC is selected as the isolated bidirectional DC-DC converter. The optimized designed method of bidirectional LLC is proposed. Finally, experiments are carried out to verify the performance of the optimized converters and the system.
关键词： high efficiency,Energy management scheme,isolated bidirectional DC-DC converter,residential photovoltaic power generation system,LLC converter
更新于2025-09-11 14:15:04