Academic Journal

Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles

التفاصيل البيبلوغرافية
العنوان: Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles
المؤلفون: Jianying Li, Minsheng Yang, Yuexing Zhang, Jianqi Li, Jianquan Lu
المصدر: Energies, Vol 16, Iss 8, p 3356 (2023)
بيانات النشر: MDPI AG
سنة النشر: 2023
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: demand responses, electric vehicles, photovoltaic, micro-grid, uncertainty, Technology
الوصف: Multiple demand responses and electric vehicles are considered, and a micro-grid day-ahead dispatch optimization model with photovoltaic is constructed based on stochastic optimization theory. Firstly, an interruptible load model based on incentive-based demand response is introduced, and a demand response mechanism for air conditioning load is constructed to implement an optimal energy consumption curve control strategy for air conditioning units. Secondly, considering the travel demand and charging/discharging rules of electric vehicles, the electric vehicle optimization model is built. Further, a stochastic optimization model of micro-grid with demand response and electric vehicles is developed because of the uncertainty of photovoltaic power output. Finally, the simulation example verifies the effectiveness of the proposed model. The simulation results show that the proposed model can effectively tackle the uncertainty of photovoltaic, as well as reduce the operating cost of micro-grid. Therefore, the effective interaction between users and electric vehicles can be realized.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1996-1073
Relation: https://www.mdpi.com/1996-1073/16/8/3356; https://doaj.org/toc/1996-1073; https://doaj.org/article/d5318edd10e94b4c94e007b163e9fd18
DOI: 10.3390/en16083356
الاتاحة: https://doi.org/10.3390/en16083356
https://doaj.org/article/d5318edd10e94b4c94e007b163e9fd18
رقم الانضمام: edsbas.A9B52B4B
قاعدة البيانات: BASE
الوصف
تدمد:19961073
DOI:10.3390/en16083356