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Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants

机译：考虑基于需求的虚拟发电厂的实用尺度电和天然气网络的日期协调运作

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Hantao Cui; Fangxing Li; Qinran Hu; Linquan Bai; Xin Fang;
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年度 2016
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1. Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants [J] . Cui Hantao, Li Fangxing, Hu Qinran, Applied Energy . 2016,第auga15期

机译：考虑基于需求响应的虚拟电厂的公用事业规模电力和天然气网络的日前协调运行
2. Hourly Electricity Demand Response in the Stochastic Day-Ahead Scheduling of Coordinated Electricity and Natural Gas Networks [J] . Zhang Xiaping, Shahidehpour Mohammad, Alabdulwahab Ahmed, Power Systems, IEEE Transactions on . 2016,第1期

机译：电力和天然气网络的随机日前调度中的每小时用电需求响应
3. Coordinated Planning of Electricity/gas/storage Distribution Network Based on LSTM and Demand Response [J] . Yongming Xu, Xi Ding, Jianxun Xu, E3S Web of Conferences . 2021,第a期

机译：基于LSTM和需求响应的电力/气体/存储分配网络协调规划
4. Optimal Coordinated Operation of Electricity and Natural Gas Distribution Networks with Power-to-Gas Facilities [C] . You Xue, Ying Gao, Yang Li, IEEE Innovative Smart Grid Technologies - Asia . 2018

机译：具有燃气发电设施的电力和天然气分配网络的最佳协调运行
5. Evaluating the Profitability of Natural Gas Combustion Turbine Power Plants in the US and Its Implications on Future Of Natural Gas as a Bridge Fuel for Electricity Generation [D] . Carvalho, Rexon Joe. 2018

机译：评估美国天然气燃烧汽轮机发电厂的盈利能力及其对天然气将来作为电力发电的桥梁燃料的影响
6. From the Cover: Controlling market power and price spikes in electricity networks: Demand-side bidding [O] . Stephen J. Rassenti, Vernon L. Smith, Bart J. Wilson 2003

机译：从封面开始：控制电网中的市场力量和价格上涨：需求方招标
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

Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants

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