State Grid Zhejiang Electric Power Co., Ltd. Taizhou Power Supply Company

Zhijian Yu

Dongbo Zhang

Jie Yu

Lintong Wang

Zihuai Zheng

Yuxi Tu

Jian Yang

Yuande Zheng

Feng Guo

Weiming Lu

Jiandong Si

Xinjian Chen

Chenghuai Hong

Yizhi Zhu

Jiahao Zhou

Zhouhong Wang

Yefeng Luo

Binren Wang

Yuyin Qiu

Huili Xie

Lei Hong

Ying Ren

Qinye Chen

Zi Ying

Disclosed are a photovoltaic energy storage offline coordination system and method based on demand management. The system includes a photovoltaic generator set, an inverter, a dispatch and control device for charge-discharge, a load monitor, a first and second energy storage device, and a remote console. The photovoltaic generator set is electrically connected to the dispatch and control device for charge-discharge via the inverter; the first energy storage device is connected to a load-side power supply bus via a first dispatch and control unit; the second energy storage device is connected to the load-side power supply bus via a third dispatch and control unit; a second dispatch and control unit is connected to the load-side power supply bus; the load monitor is provided at the load-side power supply bus, and configured to monitor a load of the load-side.

Photovoltaic energy storage offline coordination system and method based on demand management

Disclosed are a net load forecasting method and apparatus for a new energy electric power market. The method includes: obtaining and performing data preprocessing on new energy output data and external environmental data, and extracting strongly correlated features from the new energy output data and the external environmental data after the data preprocessing; performing feature expansion on the strongly correlated features, and inputting the strongly correlated features after the feature expansion into a preconstructed regression forecasting model, to obtain a first forecast value; obtaining and performing data preprocessing on user load data and load influencing factor data, and inputting the user load data and the load influencing factor data after the data preprocessing into a FNN-LSTM hybrid model, to obtain a second forecast value; and calculating a difference between the second forecast value and the first forecast value, to obtain a net load forecasting result.

Net load forecasting method and apparatus for new energy electric power market

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Zhejiang, China

Zhijian Yu