دانلود مقاله ISI انگلیسی شماره 54665
ترجمه فارسی عنوان مقاله

برنامه ریزی توسعه شبکه توزیع و جایگذاری DG در حضور عدم قطعیت

عنوان انگلیسی
Distribution network expansion planning and DG placement in the presence of uncertainties
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
54665 2015 9 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 73, December 2015, Pages 665–673

ترجمه کلمات کلیدی
برنامه ریزی توسعه شبکه توزیع ؛ تولید پراکنده؛ شبیه سازی مونت کارلو - بهینه سازی ازدحام ذرات؛ تابع توزیع احتمال؛ عدم قطعیت
کلمات کلیدی انگلیسی
Distribution network expansion planning; Distributed generation; Monte-Carlo simulation; Particle swarm optimization; Probability distribution function; Uncertainty
پیش نمایش مقاله
پیش نمایش مقاله  برنامه ریزی توسعه شبکه توزیع و جایگذاری DG در حضور عدم قطعیت

چکیده انگلیسی

Distribution network expansion planning (DNEP) is one of the most important tools to deal with the demand growth in a system. DNEP is usually carried out through reinforcement or installation of new components. In this paper, a new and combined methodology is used to consider several practical aspects in DNEP such as uncertainty, distributed generation (DG), load growth, electricity market and multi stage dynamic expansion are included in the planning. So that DNEP is addressed in the presence of distributed generation (DG), considering load and price uncertainties under electricity market environment. The proposed planning aims at minimizing investment and operational costs simultaneously. Since DNEP in coordination with DG planning leads to reduce planning cost; therefore, the coordinated DNEP and DG planning are presented in this paper. The proposed planning is implemented by the particle swarm optimization (PSO) technique. Besides, the uncertainties are modeled as the probability distribution function (PDF) and Monte-Carlo simulation (MCS) is used to insert the uncertainties into the programming. The proposed planning is carried out based on the 9-bus as well as Kianpars–Ahvaz test systems (Kianpars–Ahvaz is a practical network in Ahvaz province, Iran). The simulation results demonstrate the ability and effectiveness of the proposed planning to deal with uncertainties under electricity market environment.