Model Predictive Control of LPC-Looped Active Distribution Network With High Penetration of Distributed Generation

2017 ◽  
Vol 8 (3) ◽  
pp. 1051-1063 ◽  
Author(s):  
Xuetao Xing ◽  
Jin Lin ◽  
Can Wan ◽  
Yonghua Song
Keyword(s):  
Model Predictive Control ◽  
Distributed Generation ◽  
Predictive Control ◽  
Distribution Network ◽  
Active Distribution Network ◽  
High Penetration

scholarly journals Active and reactive power coordinated optimal dispatch in active distribution network based on model predictive control

2021 ◽  
Vol 2113 (1) ◽  
pp. 012056
Author(s):  
Hanbing Qu ◽  
Zheng Xu ◽  
Bo Wang ◽  
Pu Zhao
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Reactive Power ◽  
Distribution Network ◽  
Storage Capacitor ◽  
Forecast Errors ◽  
Optimal Dispatch ◽  
Active Distribution Network ◽  
Active And Reactive Power ◽  
The Impact

Abstract With the proliferation of the distributed energy resources (DERs), the scheduling and control of the distribution network have become more complicated. To cope with the uncertainty nature of distributed generation, a multi-timescale optimal dispatch method in active distribution network (ADN) based on the model predictive control (MPC) is proposed in this paper. First, based on MPC, a hierarchical scheduling framework for ADN is established, including long-timescale stage, and short-timescale stage. Then, via coordinated control of various resources in the ADN, i.e., distributed generators, energy storage, capacitor banks and OLTC transformer, the impact of intermittent renewable energy and load forecast errors can be reduced. Finally, considering the coupling characteristics of active and reactive power in the ADN, a joint active and reactive power optimization model is proposed to further reduce the network loss. Numerical simulation on a modified IEEE-33 distribution network system verifies the correctness and superiority of the proposed scheduling approach.

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