کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
764068 1462884 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach
ترجمه فارسی عنوان
انرژی اقتصادی-محیطی و برنامه ریزی رزرو سیستم های هوشمند توزیع: یک رویکرد برنامه ریزی چند رشته ای ریاضی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• Environmental/economical scheduling of energy and reserve.
• Simultaneous participation of loads in both energy and reserve scheduling.
• Aggregate wind generation and demand uncertainties in a stochastic model.
• Stochastic scheduling of energy and reserve in a distribution system.
• Demand response providers’ participation in energy and reserve scheduling.

In this paper a stochastic multi-objective economical/environmental operational scheduling method is proposed to schedule energy and reserve in a smart distribution system with high penetration of wind generation. The proposed multi-objective framework, based on augmented ε-constraint method, is used to minimize the total operational costs and emissions and to generate Pareto-optimal solutions for the energy and reserve scheduling problem. Moreover, fuzzy decision making process is employed to extract one of the Pareto-optimal solutions as the best compromise non-dominated solution. The wind power and demand forecast errors are considered in this approach and the reserve can be furnished by the main grid as well as distributed generators and responsive loads. The consumers participate in both energy and reserve markets using various demand response programs. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. In order to solve the proposed optimization model, the Benders decomposition technique is used to convert the large scale mixed integer non-linear problem into mixed-integer linear programming and non-linear programming problems. The effectiveness of the proposed scheduling approach is verified on a 41-bus distribution test system over a 24-h period.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 78, February 2014, Pages 151–164
نویسندگان
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