- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018) - Paris (2018.7.8-2018.7.13)] 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018) - ANIST Testbed for Examining the Accuracy of Smart Meters Under High Harmonic Waveform Loads
摘要： Household and industrial electrical energy measurements are advancing into a Smart Grid stage, using solid-state watt-hour meters, called smart meters. As electrical products are also becoming more based on solid-state designs, such as LED lighting and dimmers, electrical loads are not purely resistive, but contain voltage and current spikes. This paper describes a testbed laboratory that will attempt to model LED household lighting loads, and correlate the energy measurements for changes in accuracy by various kinds of smart meters under unusual loads.
关键词： power quality,smart watthour meters,power system harmonics,watthour meters,smart grid,power system measurements
更新于2025-09-10 09:29:36
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[IEEE 2017 International Renewable and Sustainable Energy Conference (IRSEC) - Tangier (2017.12.4-2017.12.7)] 2017 International Renewable and Sustainable Energy Conference (IRSEC) - Data Driven Model for Short Term PV Power Forecasting using Least Square Support Vector Regression
摘要： This paper presents an off-line model for forecasting photovoltaic power. This model is suitable to provide short-term forecasts without the need of Numerical Weather predictions data. This is interesting especially for power system operators as well as for individuals who do not have access to weather data and forecasts. In this paper we investigate the influence of an additional input parameter to the accuracy of an already tested and validated offline model. To rectify the performances of our models we will compare their performances with a usual persistent model. The results of simulation shows the benefits of adding this input to improve the accuracy of our PV forecasting model.
关键词： Photovoltaic Power,Forecasting,Least Square Support Vector Regression,Smart Grid,Grid Management,Machine Learning
更新于2025-09-10 09:29:36
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[IEEE 2018 International Russian Automation Conference (RusAutoCon) - Sochi, Russia (2018.9.9-2018.9.16)] 2018 International Russian Automation Conference (RusAutoCon) - Intelligent Distributed Monitoring and Control System for Lighting Networks Based on Smart Grid Concept
摘要： The article suggests an approach to energy-saving control of street lighting based on the Smart Grid concept. An energy-saving effect is largely achieved through the round-the-clock luminary dimming. To determine the efficient dimming levels, the paper offers the automated system for model-predictive control of outdoor lighting. Luminary dimming modes are corrected depending on the natural lighting conditions and special requirements for lighting depending on the time of the day according to the actual road lighting and traffic intensity data.
关键词： outdoor lighting,dimming,energy saving,Smart Grid
更新于2025-09-10 09:29:36
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[IEEE 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018) - Paris, France (2018.7.8-2018.7.13)] 2018 Conference on Precision Electromagnetic Measurements (CPEM 2018) - Design of Optical Current Sensor for Intelligent State Detection in Distribution Network
摘要： We propose a fiber optical current sensor (FOCS) based on polarization diversity for intelligent state detection in distribution network. A real-time state of polarization measurement is employed to eliminate the degradation of the Faraday effect. In experiment, a maximally 2 times higher sensitivity was achieved compared with that of the conventional one. The proposed method exhibits good immunity to the random variation of birefringence and the real rotation angle due to the Faraday effect can be accurately detected. Besides, the measurement bandwidth and accuracy of proposed FOCS are considerable.
关键词： fiber current sensor,smart grid,polarization diversity detection
更新于2025-09-10 09:29:36
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Using IoT and smart monitoring devices to optimize the efficiency of large-scale distributed solar farms
摘要： This paper presents a novel IoT-based architecture that utilizes IoT hardware, software, and communication technologies to enable real-time monitoring and management of solar photovoltaic systems at large scales. The system enables stakeholders to remotely control and monitor the photovoltaic systems and evaluate the effect of various environmental factors such as weather, air quality, and soiling. The system was implemented and evaluated in terms of network delay and resource consumption. Message Queueing Telemetry Transport (MQTT) was used to facilitate wide-scale real-time communication. The average network delay was found to be less than 1 s, proving the architecture to be ideal for solar and smart grid monitoring systems. As for resource consumption, the evaluation showed the hardware to consume about 3% of the panel’s output, while the application also utilized a very small percentage of the CPU. This led to the conclusion that the proposed architecture is best deployed using low-cost constrained edge devices where a combination of IoT-based paradigm, efficient MQTT communication, and low resources consumption makes the system cost-effective and scalable.
关键词： Solar photovoltaic monitoring,Smart renewable energy,IoT,Smart grid
更新于2025-09-04 15:30:14
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Optimal Discrete Net-Load Balancing in Smart Grids with High PV Penetration
摘要： Mitigating supply-demand mismatch is critical for smooth power grid operation. Traditionally, load curtailment techniques such as demand response have been used for this purpose. However, these cannot be the only component of a net-load balancing framework for smart grids with high PV penetration. These grids sometimes exhibit supply surplus, causing overvoltages. Currently, these are mitigated using voltage manipulation techniques such as Volt-Var Optimizations, which are computationally expensive, thereby increasing the complexity of grid operations. Taking advantage of recent technological developments that enable rapid selective connection of PV modules of an installation to the grid, we develop a unified net-load balancing framework that performs both load and solar curtailment. We show that when the available curtailment values are discrete, this problem is NP-hard and we develop bounded approximation algorithms. Our algorithms produce fast solutions, given the tight timing constraints required for grid operation, while ensuring that practical constraints such as fairness, network capacity limits, and so forth are satisfied. We also develop an online algorithm that performs net-load balancing using only data available for the current interval. Using both theoretical analysis and practical evaluations, we show that our net-load balancing algorithms provide solutions that are close to optimal in a small amount of time.
关键词： smart grid,discrete curtailment,approximation algorithms,Net-load balancing
更新于2025-09-04 15:30:14