دانلود مقاله ISI انگلیسی شماره 152918
ترجمه فارسی عنوان مقاله

چگونگی ساخت یک شبکه انتقال قدرت الکتریکی با توجه به مدیریت تقاضا و محدودیت ریسک؟

عنوان انگلیسی
How to build an electric power transmission network considering demand side management and a risk constraint?
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
152918 2018 10 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 94, January 2018, Pages 311-320

ترجمه کلمات کلیدی
برنامه ریزی شبکه، تجزیه، پاسخ تقاضای مبتنی بر انگیزه، محدودیت ریسک،
کلمات کلیدی انگلیسی
Network planning; Decomposition; Incentive-based demand response; Risk constraint;
پیش نمایش مقاله
پیش نمایش مقاله  چگونگی ساخت یک شبکه انتقال قدرت الکتریکی با توجه به مدیریت تقاضا و محدودیت ریسک؟

چکیده انگلیسی

The increasing penetration of intermittent renewable energy poses plenty of challenges to electricity networks. Moreover, following the applications of intelligent electricity networks, demand response (DR) has attracted a great deal of attention due to its positive effects on shaving peak demands and balancing power supply and demand. On the other hand, when DR reaches a critical market level, the market behavior of DR becomes a meaningful uncertainty to the networks as well. Therefore, power transmission expansion planning (TEP) becomes a complicated decision-making process requiring risk analysis. This paper proposes a probabilistic approach to TEP contemplating risk. The conventional reliability criterion is replaced by a risk constraint. In addition, the TEP problem is decomposed into a master investment problem and two slave subproblems, i.e., optimal operation and feasibility check subproblems. The proposed TEP model is tested on the Garver’s six-bus and the modified IEEE 24-bus RTS and Polish 2383-bus systems. According to the numerical results, the proposed TEP model is superior compared to the conventional reliability-driven TEP from three perspectives: (1) It has incorporated a risk constraint and hence can help network planners understand the variants of risk and provide the opportunity to make trade-offs between cost, reliability and risk. (2) It still enforces the reliability criterion and is more cost-effective when the wind power uncertainty becomes higher in the future. (3) It allows risk-analysis, giving decision-makers the flexibility to choose a plan according to their individual risk-aversion levels and understand the multiple outcomes.