The Optimal Dispatching of Micro Grid Based on Improved Limit Learning Machine under Source-load Interactive Electric Market

Author:

Zhang Wenzhe1,Qiao Liang1,Yu Zhicheng1,Han Zhenyu1,Wang Tao2

Affiliation:

1. State Grid Chongqing Electric Power Company,Power Exchange Center,Chongqing,China

2. Beijing Kedong Electric Power Control System Co., Ltd.,Electricity Power Market,Beijing,China

Publisher

IEEE

Reference19 articles.

1. A Review of the Research on the Prediction Model of Extreme Learning Machine;li;Journal of Physics Conference Series of 2019 second International Conference on Advanced Algorithms and Control Engineering,2019

2. Extreme learning machine: a new learning scheme of feed forward neural networks;huang;2004 International Joint Conference on IEEE,2004

3. Optimal allocation of energy storage system in PV micro grid considering uncertainty of demand response;li;J Power System Protection and Control,2018

4. Short-Term Power Load Forecasting Based on Self-Adapting PSO-BP Neural Network Model

5. Application of deep learning for power system state forecasting

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