برنامه ریزی یکپارچه شبکه های برق وگاز با در نظر گرفتن تاثیر واحدهای ptg در پوشش عدم قطعیت خودروهای برقی
محورهای موضوعی : مهندسی برق و کامپیوترایمان گروهی ساردو 1 * , علی مبصری 2
1 - دانشگاه جیرفت
2 - دانشگاه جیرفت
کلید واژه: برنامه ریزی یکپارچه شبکه های برق و گازبرنامه ریزی تصادفیخودروهای برقیواحدهای ptg,
چکیده مقاله :
نیروگاههای گازی به دلیل دارابودن نرخ افزایش توان و کاهش توان بالا میتوانند در ساعات پیک بار، در بهرهبرداری سیستم قدرت بسیار مؤثر واقع شوند. با گسترش نفوذ نیروگاههای گازی در سیستم قدرت و همچنین پیدایش فناوریهای جدید مانند واحدهای تبدیل توان به گاز (ptg) برنامهریزی یکپارچه دو شبکه برق و گاز مورد توجه محققین قرار گرفته است. گازهای تولیدشده توسط واحدهای ptg، در مخازنی ذخیره شده و به طور مستقیم به دست مصرفکنندگان میرسند یا در بازارهای گاز فروخته میشوند. در صورت لزوم گازهای ذخیره‌شده نیز دوباره به برق تبدیل میشوند که این روش، جایگزین مناسبی به جای استفاده از باتریها و ذخیرهسازهای انرژی در شبکه برق و در طولانی‌مدت میباشد. در این مقاله یک مدل برنامهریزی خطی ترکیبی عدد صحیح (MILP) برای حل مسئله برنامهریزی تصادفی یکپارچه شبکههای برق و گاز در حضور واحدهای ptg و با در نظر گرفتن عدم قطعیت ظرفیت شارژ و دشارژ در دسترس ایستگاههای g2v ارائه شده است. یک شبکه ترکیبی از شبکه برق اصلاح‌شده استاندارد 24باسه IEEE و شبکه گاز بلژیک، شامل نُه نیروگاه که سه نیروگاه آنها از نوع گازی هستند، سه ایستگاه خودروی برقی، دو چاه گاز، چهار مخزن گاز و سه واحد ptg، به عنوان شبکه نمونه مورد مطالعه قرار گرفته است. نتایج حاصل، کارایی بهرهبرداری یکپارچه شبکههای برق و گاز را نسبت به بهرهبرداری مستقل شبکهها و همچنین تأثیر مثبت ptgها را در پوشش عدم قطعیت شارژ و دشارژ خودروهای برقی نشان میدهد.
Gas-fueled power plants are considerably effective in power system operation during peak hours due to their high up and down ramping rates. By increasing the penetration of gas-fueled power plants in power systems and development of new technologies, such as power-to-gas (ptg) units, coordinated scheduling of both electricity and natural gas (NG) networks has attracted systems researchers’ attention. The NG volume generated by ptg units are stored in storages to directly supply the NG demands, or to sell in NG markets. If necessary, the stored NG volumes are reconverted into electricity which may be a suitable replacement for batteries and storages in electricity network in long term. In this paper, a mixed integer linear programming (MILP) model is proposed for stochastic coordinated scheduling of electricity and NG networks with ptg units, considering uncertainties of charging and discharging available capacities of vehicle to grid (v2g) stations. A test network integrating modified 24-bus IEEE electricity network and Belgium gas network including nine power stations (three of them are gas-fueled), three v2g stations, and three ptg stations is studied to evaluate the effectiveness of the proposed model. Simulation results demonstrate the effectiveness of ptg units in handling the uncertainties of v2g stations charging and discharging. Besides, the effectiveness of coordinated scheduling of both electricity and NG networks in comparison with independent scheduling of both networks is demonstrated.
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