Case study on the effects of partial solar eclipse on distributed PV systems and management areas. Issue 3 (20th June 2019)

• Record Type: Journal Article
• Authors: Sundararajan, Aditya; Olowu, Temitayo O.; Wei, Longfei; Rahman, Shahinur; Sarwat, Arif I.
• Is Part Of: IET smart grid. Volume 2:Issue 3(2019)
• Page Start: 477
• Page End: 490
• Publication Date: 2019-06-20
• Subjects: multilayer perceptrons -- solar eclipses -- photovoltaic power systems -- power grids -- power system security -- power supply quality -- distribution networks; real‐world grid‐tied PV systems -- feeders -- management areas -- 1 min PV generation data -- hourly weather data -- feeder parameters -- daily reliability data -- individual PV system performance measurement -- power performance index -- power quality analysis -- eclipse peak -- IEEE 8500 test case distribution feeder -- reliability study -- forecasting system reliability -- solar eclipses impact -- case study -- partial solar eclipse -- distributed PV systems -- photovoltaic systems -- ambient temperature -- module temperature -- PV generation profile -- larger grid -- 21 August 2017 -- power 355.0 kW -- time 1.0 min; B0170N Reliability -- B8110B Power system management, operation and economics -- B8120J Distribution networks -- B8250 Solar power stations and photovoltaic power systems -- C5290 Neural computing techniques; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0002
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : Photovoltaic (PV) systems are weather‐dependent. A solar eclipse causes significant changes in these parameters, thereby impacting PV generation profile, performance, and power quality of larger grid, where they connect to. This study presents a case study to evaluate the impacts of the solar eclipse of 21 August 2017, on two real‐world grid‐tied PV systems (1.4 MW and 355 kW) in Miami and Daytona, Florida, the feeders they are connected to, and the management areas they belong to. Four types of analyses are conducted to obtain a comprehensive picture of the impacts using 1 min PV generation data, hourly weather data, real feeder parameters, and daily reliability data. These analyses include: individual PV system performance measurement using power performance index; power quality analysis at the point of interconnection; a study on the operation of voltage regulating devices on the feeders during eclipse peak using an IEEE 8500 test case distribution feeder; and reliability study involving a multilayer perceptron framework for forecasting system reliability of the management areas. Results from this study provide a unique insight into how solar eclipses impact the behaviour of PV systems and the grid, which would be of concern to electric utilities in future high penetration scenarios.