افزایش نفوذ منابع تولید پراکنده توسط جایابی هم‌زمان منابع تولید پراکنده و سیستم‌های ذخیره‌ساز انرژی در شبکه‌های توزیع
محورهای موضوعی : مهندسی برق و کامپیوترناصر بیابانی 1 * , مریم رمضانی 2 , حمید فلقی 3
1 - دانشگاه بیرجند
2 - دانشگاه بیرجند
3 - دانشگاه بیرجند
کلید واژه: افزایش نفوذ منابع تولید پراکنده الگوریتم ژنتیک جایابی هم‌زمان سیستم‌های ذخیره‌ساز انرژی,
چکیده مقاله :
منابع تولید پراکنده افزون بر مزایای بسیار زیادی که برای سیستم قدرت به همراه دارند، دارای معایبی نیز هستند. افزایش نفوذ این تجهیزات در سیستم قدرت، در کنار اثرات مطلوبی چون کاهش توان دریافتی از شبکه بالادست، می‌تواند به اضافه بار در زمان‌های کم‌باری سیستم منجر شود. از این رو در مطالعات اخیر، تلاش‌های فراوانی برای رفع موانع افزایش نفوذ این منابع صورت گرفته است. استفاده از سیستم‌های ذخیره‌ساز انرژی یکی از روش‌هایی است که با جلوگیری از عیوب ممکن منابع تولید پراکنده، می‌تواند باعث افزایش نفوذ این منابع در سیستم‌های قدرت شود. سیستم‌های ذخیره‌ساز انرژی با ذخیره‌سازی انرژی در ساعات کم‌باری و تحویل آن به شبکه در ساعات پیک، می‌توانند افزون بر کاهش تلفات شبکه توزیع، نفوذ منابع تولید پراکنده را نیز افزایش دهند. در این مقاله پس از تشریح مسایل مکانیابی منابع تولید پراکنده و سیستم‌های ذخیره‌ساز انرژی، جایابی هم‌زمان منابع تولید پراکنده و سیستم‌های ذخیره‌ساز انرژی با هدف کاهش تلفات شبکه توزیع ارائه شده است. نتایج به دست آمده با استفاده ازالگوریتم ژنتیک نشان می‌دهد مکانیابی هم‌زمان منابع تولید پراکنده و سیستم‌های ذخیره‌ساز انرژی نسبت به جایابی جداگانه آنها، می‌تواند نفوذ منابع تولید پراکنده را افزایش داده و تلفات شبکه توزیع را به مقدار بیشتری کاهش دهد.
In addition to the great benefits of distributed generation (DG) resources to power systems, there are some disadvantages. In spite of some benefits like decrease of received power from transmission grid, increment of DGs penetration can lead to voltage increase in distribution networks during off peak. Hence the recent efforts have been made to handle problems to increase the penetration of these resources. The use of energy storage systems (ESSs) is one of the ways to prevent defects may arise from use of DGs in power systems and can help to increase penetration of DGs in power systems. ESSs can save energy during off peak and deliver it to the network in peak hours; hence, these equipment can reduce power losses and prevent voltage deviation during off peak by increasing load due to ESS charging. In this paper, first DG allocation and ESS placement are introduced then simultaneous placement of DG and ESS to reduce power losses in the distribution network are described. The proposed models are solved using genetic algorithm as optimization tool. The obtained results show that simultaneous placement could increase DG penetration compared to the separate allocation of these devices and pro
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