Academic Journal
Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles
العنوان: | Micro-Grid Day-Ahead Stochastic Optimal Dispatch Considering Multiple Demand Response and Electric Vehicles |
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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 |
تدمد: | 19961073 |
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DOI: | 10.3390/en16083356 |