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Self-Scheduling of Wind Power Generation with Direct Load Control Demand Response as a Virtual Power Plant

机译：具有直接负荷控制需求响应作为虚拟电厂的风力发电自我调度

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Mehrdad Tahmasebi;
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年度 2013
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1. Self-Scheduling of Wind Power Generation with Direct Load Control Demand Response as a Virtual Power Plant [J] . Mehrdad Tahmasebi, Jagadeesh Pasupuleti Indian Journal of Science and Technology . 2013,第10期

机译：具有直接负荷控制需求响应的风力发电自调度虚拟电厂
2. A hybrid storage-wind virtual power plant (VPP) participation in the electricity markets: A self-scheduling optimization considering price, renewable generation, and electric vehicles uncertainties [J] . Alahyari Arman, Ehsan Mehdi, Mousavizadeh MirSaeed Journal of Energy Storage . 2019,第Octa期

机译：混合风电虚拟电厂（VPP）参与电力市场：考虑价格，可再生能源发电和电动汽车不确定性的自我调度优化
3. A hybrid storage-wind virtual power plant (VPP) participation in the electricity markets: A self-scheduling optimization considering price, renewable generation, and electric vehicles uncertainties [J] . Alahyari Arman, Ehsan Mehdi, Mousavizadeh MirSaeed Journal of Energy Storage . 2019,第OCTa期

机译：混合风电虚拟电厂（VPP）参与电力市场：考虑价格，可再生能源发电和电动汽车不确定性的自我调度优化
4. Demand Response and Virtual Power Plants – Intelligent Load Balancing Supports Grid Stability(PPT) [C] . Andreas Reisacher POWER-GEN Europe Conference and Exhibition . 2016

机译：需求响应和虚拟电厂 - 智能负载平衡支持网格稳定性（PPT）
5. Analysis of Negative-Sequence Directional Element for Type-IV Wind Power Plants Under Various Control Methodologies [D] . Mutha, Sathish Kumar. 2020

机译：不同控制方法下IV型风电站负序定向元件的分析
6. Using Existing Infrastructure to Realize Low-Cost and Flexible Photovoltaic Power Generation in Areas with High-Power Demand in China [O] . Mingkun Jiang, Jiashuo Li, Wendong Wei, 2020

机译：利用现有基础设施实现中国高功率需求的低成本和柔性光伏发电
7. A CVaR-Robust Risk Aversion Scheduling Model for Virtual Power Plants Connected with Wind-Photovoltaic-Hydropower-Energy Storage Systems, Conventional Gas Turbines and Incentive-Based Demand Responses [O] . Liwei Ju, Peng Li, Qinliang Tan, 2018

机译：具有风光 - 水电站 - 水电 - 能量存储系统，传统燃气轮机和基于激励的需求响应的虚拟发电厂的CVAR稳健风险厌型调度模型

Self-Scheduling of Wind Power Generation with Direct Load Control Demand Response as a Virtual Power Plant

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