کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
704998 1460897 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Two-stage stochastic unit commitment model including non-generation resources with conditional value-at-risk constraints
ترجمه فارسی عنوان
مدل تعهدی واحد تصادفی دو مرحله ای شامل منابع غیر تولیدی با محدودیت های شرطی در معرض خطر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


• A CVaR-based two-stage stochastic UC model integrated with non-generation resources.
• A modified Benders’ decomposition approach applied to solve the proposed models.
• Studies of the risk resilience of non-generation resources on power generation.
• Sensitivity analyses to evaluate reliability parameters on reducing generation costs.

This paper presents a two-stage stochastic unit commitment (UC) model, which integrates non-generation resources such as demand response (DR) and energy storage (ES) while including risk constraints to balance between cost and system reliability due to the fluctuation of variable generation such as wind and solar power. This paper uses conditional value-at-risk (CVaR) measures to model risks associated with the decisions in a stochastic environment. In contrast to chance-constrained models requiring extra binary variables, risk constraints based on CVaR only involve linear constraints and continuous variables, making it more computationally attractive. The proposed models with risk constraints are able to avoid over-conservative solutions but still ensure system reliability represented by loss of loads. Then numerical experiments are conducted to study the effects of non-generation resources on generator schedules and the difference of total expected generation costs with risk consideration. Sensitivity analysis based on reliability parameters is also performed to test the decision preferences of confidence levels and load-shedding loss allowances on generation cost reduction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 116, November 2014, Pages 427–438
نویسندگان
, , ,