A Game Theoretic Approach for Sustainable Power Systems Planning in Transition
Author(s):
Abstract:
Intensified industrialization in developing countries has recently resulted in huge electric power demand growth; however, electricity generation in these countries is still heavily reliant on inefficient and traditional non-renewable technologies. In this paper, we develop an integrated game-theoretic model for effective power systems planning thorough balancing between supply and demand for electricity markets in transition. In this regard, a Case Study of Irans power system is used to illustrate the usefulness of the proposed planning approach and also to discuss its efficiency. Sectoral electricity demands of Iran`s power system as nonlinear functions are forecasted by applying times series approach while general information on economical, technological, political and electricity market conditions of sectors is also given. The brief look into the planning results shows that the proposed approach provides not only competitive conditions for renewable technologies expansion but also a robust one compared to the traditional (cost-based) approach.
Language:
English
Published:
International Journal of Engineering, Volume:30 Issue: 3, Mar 2017
Page:
393
magiran.com/p1663073
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!