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Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

Applied Soft Computing, 2020
To mitigate solar curtailment caused by large-scale development of photovoltaic (PV) power generation, accurate forecasting of PV power generation is important.
D. Niu   +4 more
semanticscholar   +1 more source

Limiting the power generated by a photovoltaic system

10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13), 2013
Although photovoltaic (PV) systems are generally based on Maximum Power Point Tracking (MPPT), many situations such as stand-alone systems or microgrids increasingly require the PV system to operate below maximum power. The problem here is that the power regulation becomes unstable when the MPP power is lower than the reference power as a result of a ...
Andoni Urtasun   +2 more
openaire   +1 more source

A propose of optimizing power generated by photovoltaic power generation

2017 International Conference on High Voltage Engineering and Power Systems (ICHVEPS), 2017
In this paper, a concept to optimize power generated by a stand-alone photovoltaic (PV) system is proposed. A modification of algorithm control technique for optimizing of battery charging, overcharge protection and maximum power tracking have implemented.
Syafrudin Masri   +3 more
openaire   +1 more source

Statistical Machine Learning for Power Flow Analysis Considering the Influence of Weather Factors on Photovoltaic Power Generation

IEEE Transactions on Neural Networks and Learning Systems
It is generally accepted that the impact of weather variation is gradually increasing in modern distribution networks with the integration of high-proportion photovoltaic (PV) power generation and weather-sensitive loads. This article analyzes power flow
Xueqian Fu   +4 more
semanticscholar   +1 more source

Application of a novel time-delayed power-driven grey model to forecast photovoltaic power generation in the Asia-Pacific region

, 2021
Photovoltaic engineering is one of the most important ways for utilizing solar energy. With fast development and large investment, the photovoltaic market has become more complex, leading to less reasonable samples for accurate forecasting. In this work,
Lang Yu   +5 more
semanticscholar   +1 more source

Analysis and Suppression of Sub-Synchronous Oscillation of Photovoltaic Power Generation Based on Damping Torque Method

IEEE transactions on industry applications
Aiming at the problem that the mechanism of sub-synchronous oscillation in photovoltaic power generation connected to weak AC system is unknown in low frequency band, a small signal model of photovoltaic power generation connected to weak AC system is ...
Gangui Yan   +5 more
semanticscholar   +1 more source

Radioisotope-Powered Photovoltaic Generator

Nuclear Technology, 1979
Disposing of radioactive wastes from nuclear power plants has become one of the most important issues facing the nuclear industry. In a new concept, called a radioisotope photovoltaic generator, a portion of this waste would be used in conjunction with a scintillation material to produce light, with subsequent conversion into electricity via ...
John W. McKlveen, John Uselman
openaire   +1 more source

Analysis of instability generation of Photovoltaic power station

2020 IEEE 7th International Conference on Energy Smart Systems (ESS), 2020
We showed an analysis of installed capacity and annual electricity generation of photovoltaic power stations in the world and Ukraine. The main focus of our research was on the analysis of the influence of meteorological factors on power generation. Two photovoltaic power stations of two types (terrestrial and rooftop) located in Ukraine were selected ...
Rubanenko, Olena, Yanovych, Vitalii
openaire   +2 more sources

Challenges of investment and financing for developing photovoltaic power generation in Cameroon, and the countermeasures

, 2021
In this paper we aim to analyze the status of investment and financing of photovoltaic power generation in Cameroon, find out the challenges it faces, and put forward solutions.
Zhongqun Wu   +3 more
semanticscholar   +1 more source

Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management

IEEE Systems Journal, 2020
Photovoltaic power generation forecasting (PVGF) is an attractive research topic for efficient energy management in smart city. In addition, the long short-term memory recurrent neural network (LSTM/RNN) has been actively utilized for predicting various ...
Dohyun Kim   +4 more
semanticscholar   +1 more source

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