scholarly journals Shaping photovoltaic array output to align with changing wholesale electricity price profiles

2019 ◽  
Vol 256 ◽  
pp. 113734 ◽  
Author(s):  
Patrick R. Brown ◽  
Francis M. O’Sullivan
Keyword(s):  
Electricity Price ◽  
Photovoltaic Array ◽  
Array Output

scholarly journals Topology reconfiguration for optimization of photovoltaic array output

2016 ◽  
Vol 6 ◽  
pp. 58-69 ◽  
Author(s):  
H. Braun ◽  
S.T. Buddha ◽  
V. Krishnan ◽  
C. Tepedelenlioglu ◽  
A. Spanias ◽  
...  
Keyword(s):  
Photovoltaic Array ◽  
Array Output

scholarly journals A Photovoltaic Array Fault Diagnosis Method Considering the Photovoltaic Output Deviation Characteristics

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jian Zhao ◽  
Qian Sun ◽  
Ning Zhou ◽  
Hao Liu ◽  
Haizheng Wang
Keyword(s):  
Fault Diagnosis ◽  
Power Plants ◽  
Large Scale ◽  
Probabilistic Neural Network ◽  
Deviation Function ◽  
Photovoltaic Array ◽  
Pv Array ◽  
Diagnosis Method ◽  
Random Fluctuations ◽  
Array Output

There are a large number of photovoltaic (PV) arrays in large-scale PV power plants or regional distributed PV power plants, and the output of different arrays fluctuates with the external conditions. The deviation and evolution information of the array output are easily covered by the random fluctuations of the PV output, which makes the fault diagnosis of PV arrays difficult. In this paper, a fault diagnosis method based on the deviation characteristics of the PV array output is proposed. Based on the current of the PV array on the DC (direct current) side, the deviation characteristics of the PV array output under different arrays and time series are analyzed. Then, the deviation function is constructed to evaluate the output deviation of the PV array. Finally, the fault diagnosis of a PV array is realized by using the probabilistic neural network (PNN), and the effectiveness of the proposed method is verified. The main contributions of this paper are to propose the deviation function that can extract the fault characteristics of PV array and the fault diagnosis method just using the array current which can be easily applied in the PV plant.

scholarly journals Categorizing the Meteorological Origins of Critical Ramp Events in Collective Photovoltaic Array Output

2016 ◽  
Vol 55 (6) ◽  
pp. 1323-1344 ◽  
Author(s):  
Sonya J. Wellby ◽  
Nicholas A. Engerer
Keyword(s):  
Power Output ◽  
Solar Forecasting ◽  
Radiation Fog ◽  
Event Identification ◽  
Clear Sky ◽  
Photovoltaic Array ◽  
Solar Arrays ◽  
Weather Events ◽  
Ramp Events ◽  
Array Output

AbstractPhotovoltaic (PV) solar power use is increasing globally. The Australian Capital Territory (ACT) has legislated a renewable energy target of 90% by 2020; to reach this target, use of distributed PV solar arrays is expected to increase. Cloud cover can cause the power output of PV installations to rapidly increase or decrease, resulting in ACT-wide collective ramp events. Accurate forecasts of when the ramp events will occur are needed for electricity providers to plan for these abrupt output changes and to ensure that electricity supplies remain stable. This paper categorizes the weather events that cause changes in the output of rooftop PV arrays in the ACT, providing a foundation for future PV output forecasting to be based on weather event identification. This paper identifies citywide collective ramp events, which occur when a 60% change in collective PV power output (with respect to the clear-sky potential) is experienced within 60 min. Such events are termed critical collective ramp events. Throughout the period between January 2012 and July 2014, 34 critical ramp events occurred. Eighteen of these events were positive collective ramp events, caused most frequently by Australian northwest cloud bands and radiation fog dissipation. Sixteen negative collective ramp events were recorded, and they were caused most frequently by the passage of cold fronts and thunderstorms. The categories developed herein will make it possible to improve short-term solar forecasting methods and to enable meteorologists to contribute to forecasting critical events.

An Improved P&O MPPT Method for Photovoltaic Power System

2013 ◽  
Vol 805-806 ◽  
pp. 45-51 ◽  
Author(s):  
Bao Liang Zan ◽  
Yong Duan Song ◽  
Lei Wang ◽  
Yan Hui Wang ◽  
Xiao Qiang Du ◽  
...  
Keyword(s):  
Digital Signal Processor ◽  
Digital Signal ◽  
Boost Converter ◽  
Utilization Efficiency ◽  
System Model ◽  
Theory Analysis ◽  
Photovoltaic Array ◽  
Photovoltaic Power ◽  
Output Characteristics ◽  
Array Output

To improve the utilization efficiency of the solar energy with certain conversion efficiency, the principle of MPPT control with Boost converter is explained according to photovoltaic array output characteristics. The disadvantage of the conventional perturbation and observation (P&O) is analyzed. A novel MPPT system based on a digital signal processor (DSP) with Boost converter and an improved P&O algorithm is proposed in this paper. The proposed MPPT system model is developed under Matlab/Simulink. At last, theory analysis indicates its feasibility while the simulation results verify its validity.

Modeling of Photovoltaic Array and Simulation of MPPT Algorithm

2013 ◽  
Vol 768 ◽  
pp. 23-28
Author(s):  
G. Rohini ◽  
Venkatesan Jamuna ◽  
M. Abirami ◽  
R. Ramprakash
Keyword(s):  
Output Power ◽  
Low Cost ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point ◽  
Array Output

Maximum power point tracking techniques are used in photovoltaic systems to make best use of the photovoltaic array output power. Maximum power point depends on the temperature and irradiance conditions. Perturb and observe method is considered here. This method is widely used because of its low-cost and ease of implementation. The simulation of photovoltaic array modeling & Perturb & Observe method have been carried out in this paper.

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