0% Complete
02144443008
info@cired.ir
صفحه اصلی
/
نهمین کنفرانس منطقه ای سیرد
Charge/Discharge of PEVs for Peak Shaving and Valley Filling in the Load Profile in a Smart Grid by Using SARSA Algorithm
نویسندگان :
Seyed mohammad ali Naseri javareshk (شرکت مشاور نیرو خراسان ( منیران)) , Naser Gharavi roudsari (شرکت مشاور نیرو خراسان ( منیران)) , Shahrzad Amrollahi Kouche Biyouki (دانشگاه صنعتی سجاد مشهد) , Aboalfazl Sharifi (شرکت مشاور نیرو خراسان ( منیران)) , Mahmoud Pourbagheri (شرکت توزیع نیروی برق مشهد)
کلمات کلیدی :
Vehicle to Grid; Grid to Vehicle; Vehicle to Home; peak shaving; valley filling
چکیده :
Considering the load growth, limitations related to new generation capacities as well as available generation capacities, demand-side management has become a link between two sides of the demand in the smart grid, throughout the world. On the other hand, considerable influence of Plug-in Electric Vehicles (PEVs), Plug-in Hybrid Electric Vehicles (PHEVs) and Electric Vehicles (EVs) has increased the complexity of this issue. However, PEVs have created beneficial opportunities for power systems. Battery of PEVs can act as a power storage resource and impact on the stability as well as the reliability of the power grid. Appropriate charge/discharge scheduling of PEVs based on Vehicle to Grid (V2G), Grid to Vehicle (G2V) and Vehicle to Home (V2H) technologies can result in effective peak shaving and valley filling in the load profile of the power grid. In this paper, charging/discharging management of PEVs has been studied based on SARSA learning algorithm. The SARSA learning algorithm is one of the most common methods to solve problems based on the Reinforcement Learning (RL) framework. On this basis, the agent will learn to make optimal decisions to achieve a specific goal through interactions with the environment. Simulation results have revealed how an efficient demand response schedule can manage charge/discharge of PEVs. Also, it has been shown that the proposed approach can eliminate peaks and valleys in the demanded load profile and stability of the power grid can be ensured.
لیست مقالات
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 34.6.2