- 标题
- 摘要
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- 实验方案
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A Simple and Reliable Photovoltaic Forecast for Reliable Power System Operation Control
摘要： Recently various forecasting methods for photovoltaic (PV) generation have been proposed in the literature. However, these standard methods cannot be successfully and widely used in general due to the fact that they require access to specialized data that are not always and everywhere readily available in practice. Furthermore, prediction accuracy of such methods tends to deteriorate specially due to data scarcity. This paper proposes a simple and reliable PV forecasting method using machine learning and neural networks. Confidence interval (CI) results are specifically provided for the local supply-demand control as well as for the robust power system security. The proposed method uses only weather forecasting data that are provided by the Japan Meteorological Agency (JMA) and which is available to the public. The proposed method maintains a high level of accuracy by using real-time correlation data between the specific target and the neighboring areas. Multiple neural networks are constructed based on a weather clustering technique. It has been confirmed through extensive simulation results that the proposed method demonstrates robustness in prediction accuracy and CI effectiveness.
关键词： Confidence intervals,Local energy management,Neural networks,Uncertainties,PV forecasting
更新于2025-09-12 10:27:22
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Power control of hybrid energy systems with renewable sources (wind-photovoltaic) using switched systems strategy
摘要： This paper presents a novel strategy for output power control of a hybrid energy system, composed of renewable energy sources (wind and photovoltaic), a battery bank and a variable load. Developing an energy management strategy, the hybrid energy system is described here as a switched nonlinear system with unknown parameters. Then, an adaptive control strategy is proposed to satisfy the total power demand in different conditions, under arbitrary switching. The proposed control law only depends on angular speed and current, without requiring the wind measurements. The analytical stability proof is given, based on the common Lyapunov function method. The simulation results are also presented and discussed to demonstrate the performance of the proposed method, for a typical hybrid energy system.
关键词： Energy management strategy,Renewable energy sources,Switched nonlinear system,Lyapunov function method
更新于2025-09-11 14:15:04
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Photovoltaic system simulation model for steady-state microgrid energy management application
摘要： The high penetration of Distributed Energy Resources (DERs) creates the necessity of having mathematic models that can accurately represent the variable and intermittent nature of its resources, which are normally based on renewable energy such as photovoltaic systems. Since the DERs are located near the consumer, at the distribution side of the network, it creates a challenge in the operation and control of the distribution system. This challenge can be addressed by microgrids, which are the new paradigm for defining the operation of the distribution system with high penetration of DERs. This paper presents a photovoltaic simulation model which can analyze the photovoltaic system response to particular weather condition. The model can be applied in a steady-state microgrid energy management system. The model was simulated, and the results were analyzed. Different cases were applied, and the results were high satisfactory in comparison with the ones presented in the literature.
关键词： steady state,energy management,Photovoltaic system,mathematic model,microgrid
更新于2025-09-11 14:15:04
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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
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Optimization of Performance Characteristics of Hybrid Wind Photovoltaic System with Battery Storage
摘要： This study concentrates on the Design and Implementation of a multi source hybrid Wind-Photovoltaic stand alone system with proposed energy management strategy. The method of investigation concerned with the definition of the system topology, interconnection of the various sources with maximum energy transfer, optimum control and energy management in order to maintain the DC bus voltage into a fixed value. An Energy management strategy was proposed using the Fuzzy logic controller such that enhancement in the performance of the system and optimization can be done. The Fuzzy logic controller takes the input from Solar (irradiation), Wind (speed), Power demand and the battery voltage which controls the respective subsystem and formulates into different operational modes of energy management. The role of Fuzzy threshold controller is to adjust continuously the threshold value for optimal performance based on expected wind, solar conditions, battery voltage and power demand. It is shown that when the fuzzy logic controller is used, the proposed DC bus voltage regulation strategy with different modes of operation have fast response and efficient operation which leads to a reduced operating cost.
关键词： WSHPS,wind,fuzzy control,energy management,PMSG,renewable energy,Battery,hybrid energy system
更新于2025-09-10 09:29:36
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[Lecture Notes in Electrical Engineering] Proceedings of 2018 Chinese Intelligent Systems Conference Volume 528 (Volume I) || Control Strategy of PV-Hybrid Energy Storage Device Based on Household Load
摘要： In order to improve the stability and economy of roof photovoltaic system. The frequency distribution of photovoltaic power can be obtained by using Hilbert-Huang transform (HHT), and a boundary frequency algorithm is proposed to determine the frequency of photovoltaic power generation. Then, the roof photovoltaic-hybrid energy storage control model based on household load is constructed, and the model is solved by LINGO software. Data analysis and comparison show that under the condition of full life cycle and real time price of photovoltaic power generation, user economy is superior to that of fixed price condition. The effectiveness of the proposed model coordination control strategy is verified by the user’s economy.
关键词： Hybrid energy storage,Maximum power point tracking,Capacity configuration,Energy management,Control strategy,Photovoltaic power generation
更新于2025-09-10 09:29:36
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A fuzzy logic embedded energy management software with multi-agent system for a stand-alone PV power plant
摘要： The worst scenario projected for an off-grid photovoltaic power system is the time interval that the solar irradiation amount is in short to supply the load throughout the day, and this situation is resulted in energy deficiency. Nowadays, an off-grid power generating system, which is designed to consider the worst scenario encountered only during a certain period of time, brings through big financial problems in terms of the initial installation costs. This study proposes a smart software to perform energy management considering users’ comfort and their criteria, which are taking some information from the agents communicating with the consumption units wirelessly and the battery agent. All loads and agents in this system are initially defined by the user according to the importance of the consumption loads such as critical, essential, significant, lesser, and insignificant loads. The proposed energy management software includes fuzzy logic-based decision maker to manage load suspension or put the suspended load into effect again according to the state of the sources. The total amount of consumption is kept less than the total existing energy so that the energy to be consumed by the critical loads is always provided. Considering the existing amount of energy and consumer preferences, the total amount of load units is maximized at each sampling step. The proposed system, which is attained without compromising the user comfort, enables more efficient energy consumption. Also, for supplying the critical loads in case of lack of energy is possible.
关键词： Multi-agent system (MAS),Fuzzy decision makers,Smart energy management,Photovoltaic
更新于2025-09-10 09:29:36
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[IEEE 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) - Kuala Lumpur, Malaysia (2018.8.12-2018.8.14)] 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC) - Simulation of Fuzzy Logic Based Energy Management for the Home with Grid Connected PV-Battery System
摘要： This paper presents the energy management for the home with the grid connected PV-battery system. The fuzzy logic controller is employed to control the power flow delivered to the loads. The objective is to minimize the electricity cost by managing the energy penetration from the PV-battery system to the grid. The fuzzy logic controller is developed in distributed scheme where each load has its own controller. The fuzzy rule is designed by considering the availability of PV power, the state of charge of the battery and the total loads power consumption. The simulation results show that the proposed system achieves a cost reduction of 13.9% compared to the system without the fuzzy logic controller.
关键词： PV-battery,fuzzy logic controller,energy management,grid connected
更新于2025-09-10 09:29:36
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The Evaluation of Energy Conservation Performance on Electricity: A Case Study of the TFT-LCD Optronics Industry
摘要： This study describes the performance evaluation of an energy management system, based on electricity consumption, for a Gen 6 Thin Film Transistor Liquid Crystal Display (TFT-LCD) panel plant. Of the various production lines and facility systems, the array system and the compressed dry air consumed the most electricity of 21.8% and 19.8%, respectively, while the public utility used only 1.6% of the total electricity. The baseline electricity consumptions were correlated well (R2 ě 0.77) to the monthly average wet-bulb temperatures of ambient air and the panel yield rates, which were determined by the product yield over the equipment available time index. After implementing the energy saving projects, the energy conservation performance was determined using a three-parameter change-point regression model incorporated with the panel yield rates. The post-retro?t monthly savings of the total electricity consumption for the panel manufacture were 5.35%–10.36%, with the ef?ciency of the electricity performance revealing an upswing trend following the implementation of the energy management system.
关键词： wet-bulb temperature,three-parameter change-point model,yield rate,energy management system
更新于2025-09-09 09:28:46
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[IEEE 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Paris, France (2018.10.14-2018.10.17)] 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Energy Consumption Optimization through Dynamic Simulations for an Intelligent Energy Management of a BIPV Building
摘要： Having 6500 integrated sensors and a wide network of embedded systems, the ADREAM building can be categorized as one of the prototype smart buildings of France. As needs for intelligent management of energy are growing, the associated project provides a multidisciplinary platform of experimentation, developing solutions for efficient Energy Networks, HVAC Systems, Photovoltaics, and Smart Grids. This paper provides the overview of the project along with three different modeling techniques, simulating the thermal behavior of the building and the functioning of the different energy systems. A thermal model of the building was developed and calibrated for energy consumption analysis and prediction, using the software Pleiades+Comfie. A “black box” model was developed using artificial neural networks for the simulation of energy system parameters and the exploration of efficient control strategies. The last method provides the overview of developing an all-inclusive physical model with equivalent Matlab/Simulink for simulating the global functioning of the building and its HVAC systems. The conclusion addresses the utility of exploring and combining different types of models for optimizing the energy management of Smart Buildings.
关键词： Simulink,Energy Optimization,Model Calibration,Building Simulation,Smart Building,Pleiades + Comfie,Energy Management
更新于2025-09-04 15:30:14