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State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

机译：最佳设计，可再生能源微普林的最佳设计，可靠性和控制技术研究

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Abubakar Abdulkarim; Nasir Faruk; A. O. Oloyode; Lukman A. Olawoyin; Segun I. Popoola; A. I. Abdullateef; O. Ibrahim; N. T. Surajudeen-Bakinde; S. M. Abdelkader; John D. Morrow; Y. A. Adediran; Y. Jibril;
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1. OPTIMAL CHARGING CONTROL FOR PLUG-IN ELECTRIC VEHICLES IN SMART MICROGRIDS FUELED BY RENEWABLE ENERGY SOURCES [J] . Li Zhu, F. Richard Yu, Bin Ning, International journal of green energy . 2013,第6a10期

机译：可再生能源引起的智能微电网插电式电动汽车的最优充电控制
2. Adaptive Critic Design-Based Dynamic Stochastic Optimal Control Design for a Microgrid With Multiple Renewable Resources [J] . Han Junbiao, Khushalani-Solanki Sarika, Solanki Jignesh, Smart Grid, IEEE Transactions on . 2015,第6期

机译：具有多种可再生资源的微电网基于自适应批评设计的动态随机最优控制设计
3. Two-stage stochastic programming formulation for optimal design and operation of multi-microgrid system using data-based modeling of renewable energy sources [J] . Han Dongho, Lee Jay H. Applied Energy . 2021,第Juna1期

机译：使用基于数据的可再生能源建模的多微电网系统的最优设计与运行两阶段随机编程配方
4. Optimal Synthesis, Design and Operation of Smart Microgrids Serving a Cluster of Buildings in a Campus with Centralized and Decentralized Hybrid Renewable Energy Systems [C] . Daniele Testi, Luca Urbanucci, Chiara Giola, Conference of the Italian Thermal Machines Engineering Association . 2019

机译：智能微电网的最佳合成，设计和运行，在校园内提供集中式和分散的混合可再生能源系统的建筑物群
5. Control and Design of a High Voltage Solid State Transformer and its Integration with Renewable Energy Resources and Microgrid System. [D] . She, Xu. 2013

机译：高压固态变压器的控制和设计及其与可再生能源和微电网系统的集成。
6. A non-autonomous optimal control model of renewable energy production under the aspect of fluctuating supply and learning by doing [O] . Elke Moser, Dieter Grass, Gernot Tragler -1

机译：供需波动环境下可再生能源生产的非自主最优控制模型
7. Optimal Design of Hybrid Renewable Energy System for Microgrid Reliability Enhancement [O] . 100

机译：微电网可靠性增强的混合可再生能源系统优化设计

State of the Art in Research on Optimum Design, Reliability and Control of Renewable Energy Microgrids

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