روشی جدید در ارزيابي قابليت اطمينان عرضه در میکروگریدهای صنعتي با در نظر گيري رشد بار و عدم قطعيت منابع تجديدپذير
محورهای موضوعی : مهندسی برق و کامپیوتر
صادق رحیمی تاکامی
1
(دانشگاه اصفهان)
رحمت‌الله هوشمند
2
(دانشگاه اصفهان)
امین خدابخشیان
3
(مهندسی)
سيدمصطفي نصرت‌آبادي
4
(دانشگاه اصفهان)
کلید واژه: توليد پراکنده (DG) ارزيابي قابليت اطمينان شبکه‌هاي صنعتي مونت کارلو ترتيبي,
چکیده مقاله :
وجود منابع تولید پراکنده در میکروگریدهای صنعتی، تأثیر زیادی در پارامترهای قابلیت اطمینان این شبکه‌ها دارد. لذا در این مقاله، ارزیابی قابلیت اطمینان میکروگریدهای صنعتی با استفاده از یک شاخص ترکیبی پیشنهادی در حضور منابع تولید پراکنده و بار پاسخگو ارائه می‌گردد. این روش ارزیابی قابلیت اطمینان بر مبنای مونت کارلوی ترتیبی با توجه به بار زمانی موجود می‌باشد. در این مقاله از تولیدات تجدیدپذیر پرکاربرد نیروگاه بادی و مولد فتوولتائیک استفاده می‌شود. با توجه به آن که توان خروجی این نوع DGها به متغیرهای تصادفی سرعت باد و میزان تابش خورشید بستگی دارد لذا جهت تعیین میزان توان خروجی آنها در هر ساعت برای هر کدام از آنها تعدادی سناریو در نظر گرفته شده است. با توجه به تعداد زیاد سناریوهای ایجادشده از روش کاهش سناریو بر مبنای دو شرط مبتنی بر توان تولیدی آنها و میزان بارها استفاده می‌شود. همچنین شاخص ترکیبی جدید بیانگر میزان تغییرات شاخص‌های SAIFI، SAIDI و EENS به ازای هر KW از DG نصب شده است. با توجه به رشد بارهای صنعتی در میکروگریدها، یک دوره مطالعه ده‌ساله در دو حالت عملکرد جزیره‌ای و اتصال به شبکه برنامه‌ریزی می‌شود. در حالت جزیره‌ای از مفهوم بار پاسخگو نیز استفاده می‌شود. برای نشان‌دادن کارایی الگوریتم پیشنهادی، این روش بر روی شبکه استاندارد 2IEEE-RBTS BUS در حضور منابع DG اعمال گردیده و نتایج در حالات مختلف بررسی گردید.
Distributed Generation (DG) resources can effect a lot on the reliability parameters in industrial microgrids. So, reliability evaluation of industrial microgrids is presented in this paper using a proposed composite index in the presence of DG resources and demand response (DR). This procedure of the reliability assessment is based on sequential Monte Carlo method with respect to the time varying load model. In this paper, wind and photovoltaic generations those are useful renewable generations are used. Since, the output power of these DGs depends on wind speed and solar radiation that are stochastic variables, therefore a number of scenarios have been considered in order to determine the output power per hour for each of them. According to the large number of generated scenarios, scenario reduction method is used based on two conditions that consist of power generation of DGs and load. Here the new composite index represents changes in the SAIFI, SAIDI and EENS indices per each KW of installed DGs. With considering to industrial load growth in the microgrid, a ten-year period is studied and the scheduling is performed in both islanding and grid connected operational modes. The concept of DR is also used in the islanding operational mode. To demonstrate the effectiveness of the proposed method, the approach is applied on a standard IEEE RBTS BUS2 system in the presence of DG resources and the results in different conditions are achieved.
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