The Problem of Resilient Stochastic Unit Commitment with Consideration of Existing Uncertainties Using the Rate of Change of Frequency
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 246
فایل این مقاله در 14 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JREE-9-4_004
تاریخ نمایه سازی: 8 دی 1401
چکیده مقاله:
The ability of power systems against severe events shows their increased resilience, which in turn reduces the operation costs and recovery time of the system. This study presents a new resilient stochastic unit commitment model using the frequency change rate as a new index of system resilience. Furthermore, uncertainties of wind and solar power plants and demanded load are considered simultaneously. In the proposed method that considers the occurrence of a destructive incident in important production units in the worst-case scenarios and by using the generation capacity, adaptive frequency load shedding, and interrupting contracts, an effective strategy was provided to solve the unit commitment problem of thermal units to prevent instability in system frequency and to minimize unwanted load shedding. The proposed model was tested and evaluated on the IEEE ۳۹-bus system with a wind power plant and a solar power plant. Moreover, the results obtained from simulation were reported. The effectiveness of this innovative approach in increasing the resilience of the power system against different degrees of uncertainty was confirmed based on the results.
کلیدواژه ها:
Resilience ، Unit commitment ، Uncertainty ، Wind and Solar Power Plants ، Load Interruption Contracts ، Adaptive Frequency Load Shedding
نویسندگان
Moslem Geravandi
Department of Electrical Engineering, Faculty of Engineering, Razi University, P. O. Box: ۶۷۱۴۴-۱۴۹۷۱, Kermanshah, Iran.
Hassan Moradi CheshmehBeigi
Department of Electrical Engineering, Faculty of Engineering, Razi University, P. O. Box: ۶۷۱۴۴-۱۴۹۷۱, Kermanshah, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :