- 标题
- 摘要
- 关键词
- 实验方案
- 产品
过滤筛选
- 2019
- 2018
- 2015
- Photovoltaic system
- photovoltaic generation
- voltage regulation
- battery storage
- low-voltage networks
- charge – discharge energy efficiency
- Lithium-ion battery
- degradation diagnosis
- photovoltaic surplus energy
- working electric vehicle
- Electrical Engineering and Automation
- Optoelectronic Information Materials and Devices
- Optoelectronic Information Science and Engineering
- Institut Teknologi Sepuluh Nopember- ITS
- National technical University “Kharkiv Polytechnic Institute”
- State Grid Shanxi Electric Power Research Institute
- Xi’an Jiaotong University
- Zhengzhou University
- Tsinghua University
- Kuban State Agrarian University
- Cochin University College of Engineering
- University of Calgary
- Ritsumeikan University
-
[IEEE 2018 China International Conference on Electricity Distribution (CICED) - Tianjin (2018.9.17-2018.9.19)] 2018 China International Conference on Electricity Distribution (CICED) - Calculation Method of Limit Access Capacity of Photovoltaic Source on the Basis of Chance-constrained Programming in Rural Distribution Network
摘要： To avoid the calculation of limit access capacity of photovoltaic (PV) source is incorrect due to the consideration of the occurrence of a small probability event, this paper proposes a method to calculate the limit access capacity of photovoltaic (PV) source based on the chance constraints of voltage deviation on the basis of considering the randomness of PV power and load. Maximizing limit access capacity of PV is regarded as the goal, the voltage deviation is regarded as the chance constrained condition, the calculation model of limit access capacity of PV is established. Then, using the LHS and Newton-Raphson to calculate the probabilistic load flow (PLF), the statistical properties of node voltage are obtained. Calculation results of PLF and quantum genetic algorithm are used to solve the model. By comparing the results of optimization with heuristic method, the correctness and validity of the proposed method are verified.
关键词： quantum genetic,rural distribution network,allowable capacity,Distributed photovoltaic generation,chance constrained programming
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 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) - Hangzhou (2018.8.16-2018.8.19)] 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) - RBF Neural Network Adaptive PID Control for Energy Storage System in Grid-Connected Photovoltaic Microgrid
摘要： In photovoltaic microgrid, the output power of PV array will change with the change of external light and temperature. In order to maintain the stability of output power of PV system, energy storage system is usually added into the system. In a energy storage system, the most widely used control method is proportional-integral-derivative (PID) based control, however, the control effect of PID control is dependent on parameter tuning. In this paper, a PID controller based on adaptive radial basis function (RBF) neural network is proposed to adjust the PID parameters adaptively, and improve the response speed, anti-interference ability and robustness of the traditional PID controller. In the end, the energy storage system is built in the MATLAB/Simulink software, which is applied to the 100kW photovoltaic array to stabilize the output power when the light and temperature changed.
关键词： adaptive control,energy storage system,photovoltaic microgrid,RBF neural network,PID control
更新于2025-09-11 14:15:04
-
[IEEE IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society - Washington, DC (2018.10.21-2018.10.23)] IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society - Photovoltaic and Energy Storage Grid Integration with Fully Modular Architecture using Triple Port Active Bridges and Cascaded H-Bridge Inverter
摘要： This paper presents a novel architecture to integrate the photovoltaic and energy storage to the grid. The modular approach is provided by using the triple port active bridge DC-DC converter modules and the cascaded H-Bridge multilevel inverter structures. The modular approach helps in easy scaling up, easy maintenance and better controllability of the available power. The triple port bridge is capable of supplying and receiving power in any of its ports, allowing various control modes. Also the voltage control mode at its output allows for additional grid services. The cascaded H-bridge is a multilevel inverter with higher number of voltage levels, reduced ?lter size, lower switching frequency, lower dv/dt and EMC issues. The experimental and simulation results presented in this paper ensures that the proposed architecture is suitable for large scale photovoltaic and energy storage grid integration.
关键词： ZVS,cascaded H-bridge,Photovoltaic,Energy storage,triple port,Modular,multi-level
更新于2025-09-11 14:15:04
-
Five-Level Transformerless Inverter for Single-Phase Solar Photovoltaic Applications
摘要： Transformerless inverters are extensively employed in grid connected photovoltaic (PV) generation systems due to its advantages of achieving low cost and high efficiency. However, the common mode voltage issues have been motivated the proposition of new topologies, control and modulation schemes. In common-ground PV inverters the grid neutral line is directly connected to the negative pole of the dc bus. Therefore, the parasitic capacitances are bypassed and the leakage current can be eliminated. In this paper a five-level common ground transformerless inverter with reduced output harmonic content for PV systems is proposed. In addition, the proposed inverter can process reactive power and it presents a maximum dc-voltage utilization in opposition to half-bridge based topologies. The operation modes of the proposed inverter, a simple modulation strategy, as well as the design guidelines are analyzed in detail. Finally, experimental results demonstrate the feasibility and good performance of the proposed inverter.
关键词： Photovoltaic systems,transformerless inverters,common ground voltage,multilevel inverters
更新于2025-09-11 14:15:04
-
[IEEE 2018 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) - Hong Kong, China (2018.11.5-2018.11.9)] 2018 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) - Perovskite solar cell efficiency improvements: new device simulation
摘要： Trihalide perovskite photovoltaic (PV) solar cells have a promise to be connected into tandems with inorganic PV systems. In this paper we present p-i-n GaAs & PV cells in either in-series way or parallel connection. Comparisons made for two types of tandems by a non-monolithic connection of two experimental sub-cells and results are being discussed based on simulation analysis. It is shown that parallel connection is always more preferable when the subcells photocurrent is not balanced Total efficiency over 20 % is demonstrated for GaAs shadding effect of by MAPbI3 film, with achieved Jsc 41 mA/cm2 and high Voc, cell has better FF.
关键词： simulation,perovskite photovoltaic solar cell,tandem structure
更新于2025-09-11 14:15:04
-
[IEEE 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Waikoloa Village, HI (2018.6.10-2018.6.15)] 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) - Optimal Use of Distributed Resources to Control Energy Variances in Microgrids
摘要： This paper presents the optimization of distributed energy resources in a community microgrid. An optimal power flow is used to determine the optimal allocation of resources using an evolutionary programming method, achieving the lowest cost of supplying the demand while accounting for physical and operational constraints. The energy variances were managed and controlled within the microgrid. Different scenarios of high integration of distributed resources were studied using the algorithm. The utility could be used to supply a constant energy block or for backup power. The algorithm was successfully used to allocate resources while achieving a high load factor value.
关键词： Demand Response,Distributed Energy Resources,Optimal Power Flow,Microgrids,Photovoltaic Systems,Battery Storage Systems
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
-
[IEEE 2018 IEEE ANDESCON - Santiago de Cali (2018.8.22-2018.8.24)] 2018 IEEE ANDESCON - Grid-Connected Photovoltaic System in an Educational Building. Overview and Preliminary Data Analysis
摘要： This article provides an overview regarding a real implementation of a grid-connected PV system on the building of Universidad Nacional de Rafaela, Argentina. The aim is to investigate and emphasize the importance of the whole experience carried out by an educational institution in the central region of Argentina. The first part of the study is focused on the current legislation, standards and programs related to renewable energy in general and grid-connected PV systems in particular. Afterwards, the design and sizing stage and the connection protocol are described in detail. In order to illustrate the solar potential in the region and the system performance, generation data accounting for the PV system are provided. Based on this information, preliminary conclusions are presented.
关键词： Photovoltaic systems,Distributed generation,Educational buildings
更新于2025-09-11 14:15:04