دانلود مقاله ISI انگلیسی شماره 138571
ترجمه فارسی عنوان مقاله

تشخیص خطا آنلاین و تجزیه و تحلیل اقتصادی سیستم های فتوولتائیک متصل به شبکه

عنوان انگلیسی
Online fault detection and the economic analysis of grid-connected photovoltaic systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
138571 2017 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy, Volume 134, 1 September 2017, Pages 121-135

ترجمه کلمات کلیدی
سیستم فتوولتائیک، نظارت بر، کم هزینه، تشخیص و تشخیص گسل، جنبه های اقتصادی،
کلمات کلیدی انگلیسی
Photovoltaic system; Monitoring; Low-cost; Fault detection and diagnosis; Economic aspects;
پیش نمایش مقاله
پیش نمایش مقاله  تشخیص خطا آنلاین و تجزیه و تحلیل اقتصادی سیستم های فتوولتائیک متصل به شبکه

چکیده انگلیسی

Monitoring system is essential to maintain optimal performance of photovoltaic systems. An automatic fault diagnosis technique in a monitoring system plays critical role in detecting causes affecting the energy production. This paper proposes a new fault detection technique that analyzes the anomalies observed in terminal characteristics of faulty PV strings and corresponding array. The terminal voltage difference between the module in healthy string and the healthy module in unhealthy string can be employed to locate faulty modules. The main advantage of proposed approach is that it voids the need of string current sensors, and reduces the number of voltage sensors using optimal location of voltage sensors. In this technique, power line communication technology based data transmission is used to monitor each PV module. Additionally, a user friendly web application is developed for easy access of monitored data via Internet. Moreover, an economic analysis has also been carried out to study the cost effectiveness of the proposed fault detection technique; considering different values of interest rate and energy tariffs. The profitability of installed grid connected photovoltaic system is determined through its parameters net present value and pay-back period. Experimental results are provided to demonstrate the effectiveness of proposed fault detection technique.