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Iranian Journal of Electrical and Electronic Engineering، جلد ۱۸، شماره ۱، صفحات ۲۰۷۹-۲۰۷۹
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عنوان انگلیسی Robust Operation Planning With Participation of Flexibility Resources Both on Generation and Demand Sides Under Uncertainty of Wind-based Generation Units
چکیده انگلیسی مقاله In recent years, the increasing of non-dispatchable resources has posed severe challenges to the operation planning of power systems. Since these resources are random in nature, the issue of flexibility to cover their uncertainty and variability has become an important research topic. Therefore, having flexible resources to cover changes in the generation of these resources during their operation can play an essential role in eliminating node imbalances, system reliability, providing the required flexible ramping capacity, and reducing system operating costs. Among flexibility resources, there are quick-act generation units such as gas units that can play an important role in covering net load changes. Also, on the demand side, the optimal design of demand response programs as responsive resources to price and incentive signals, by modifying the system load factor can prevent severe ramps at net load, especially during peak load hours, and as a result, increase system flexibility while decreasing operational cost of the power system. In this paper, unlike the existing literature, the effect of the mentioned flexibility resources (both on the generation side and the demand side) in day-ahead operation planning under high penetration of wind generation units has been studied on the IEEE RTS 24-bus test system. Also, for this scheduling, a mixed-integer, two-stage, and tri-level adaptive robust optimization have been used, which is solved by column-and-constraint generation decomposition-based algorithm to clear the energy and ramping capacity reserve jointly.
کلیدواژه‌های انگلیسی مقاله Adaptive Robust Optimization, Column-and-Constraint Generation, Flexibility Resources, Non-Dispatchable Resources.
نویسندگان مقاله | A. Mansoori
Department of Electrical Engineering, Tarbiat Modares University, Tehran, Iran.


| A. Sheikhi Fini
Power Systems Operation and Planning Research Department, Niroo Research Institute (NRI), Tehran, Iran.


| M. Parsa Moghaddam
Department of Electrical Engineering, Tarbiat Modares University, Tehran, Iran.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-3769-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Fossil Plants
نوع مقاله منتشر شده Research Paper
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