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Title:
 
Computational Diagnostics of Regional Photovoltaic Smoothing Potential for Composite Orientations and Configurations
 
Author(s):
 
N. Riaz, S. Repo
 
Topic:
 
PV Systems - Performance, Applications and Integration
Subtopic: Grid and Energy System Integration
Event: 35th European Photovoltaic Solar Energy Conference and Exhibition
Session: 6BV.1.80
ISBN: 3-936338-50-7
 
Price:
 
 
0,00 EUR
 
Document(s): poster
 

Abstract/Summary:


Large-scale penetration of renewable energy resources like solar and wind power in recent years have established potential threats to operational security and reliability of the power system. The variant nature of cloud cover and cloud movement introduces short-term solar power fluctuations, which appear as frequency deviation at the grid [1]. Such inevitable penetrations of renewables will raise the necessity of supplementary frequency containment and inertial reserves in order to regulate the frequency with higher uncertainty, intermittency and ramp rates of power generation. However, the uncertainty of solar power output decreases when integrated on a large scale, this phenomenon is known as smoothing [1]. Thus, many contemporary researchers are analyzing the natural smoothing effect of large-scale solar power plants to evaluate the extent to which frequency instability impact is self-alleviated. Most of these valuable researches have focused on parametric analysis of smoothing as a function of temporal resolutions, geographical and spatial distribution of PV plants, PV plant ensemble size etc [1]-[7]. However, extensive analysis of solar power smoothing w.r.t orientation of the PV panels in a plant is still missing. Solar power smoothing is a complex combinations of temporal resolutions, ensemble size, geographical and spatial distribution of PV plants together with a great dependence on the position of sun in the sky, cloud cover, cloud velocity, latitude and longitudes of the PV plants location. Since all these factors enhance smoothing in parallel but up to different extent therefore, it is substantial to analyze in isolation the degree of smoothing as a function of plant orientation (PV plant altitude angle and tilt angle). Optimal positioning of PV panels itself has many limitation related to the roof top direction, type, pitch and surrounding structures. Motivation of self-consumption is high and PV panels’ orientations are mostly based on daily consumption profiles. Such concentration of tracking maximum production does not support solar power inherent smoothing and corrective measures are required to integrate solar power on a large scale with enhanced natural smoothing without compromising on power system frequency stability and operational reliability. Moreover, existing remedies of maximum power point tracking and battery banks are expensive and increase the system cost.