Multi-Time Scale Active and Reactive Power Coordinated Optimal Dispatch in Active Distribution Network Based on Scenario Method

2021 ◽  
Author(s):  
Shuai Chen ◽  
Chengfu Wang ◽  
Hongzhang Sheng ◽  
Zhenwei Zhang
Keyword(s):  
Time Scale ◽  
Reactive Power ◽  
Distribution Network ◽  
Optimal Dispatch ◽  
Active Distribution Network ◽  
Active And Reactive Power ◽  
Scenario Method

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.

scholarly journals Two-Stage Active and Reactive Power Coordinated Optimal Dispatch for Active Distribution Network Considering Load Flexibility

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5922
Author(s):  
Yu Zhang ◽  
Xiaohui Song ◽  
Yong Li ◽  
Zilong Zeng ◽  
Chenchen Yong ◽  
...  
Keyword(s):  
Real Time ◽  
Prediction Error ◽  
Reactive Power ◽  
Distribution Network ◽  
Constant Current ◽  
Economic Losses ◽  
Time Varying ◽  
Two Stage ◽  
Active Distribution Network ◽  
Active And Reactive Power

A high proportion of renewable energy connected to the power grid has caused power quality problems. Voltage-sensitive loads are extremely susceptible to voltage fluctuations, causing power system safety issues and economic losses. Considering the uncertainty factor and the time-varying characteristic, a linearized random ZIP model (constant impedance (Z), constant current (I), and constant power (P)) with time-varying characteristics was proposed. In order to improve the voltage quality of the voltage-sensitive loads in the day-here stage in an active distribution network (ADN), a linearized two-stage active and reactive power coordinated stochastic optimization model was established. The day-ahead active and reactive power coordination optimization was to smooth the large voltage fluctuation and develop a reserve plan to eliminate the unbalanced power caused by the prediction error in the day-here optimization. In the day-here real-time redispatch, the voltage was further improved by the continuous reactive power compensation device. Finally, the simulation results on the IEEE-33 bus system showed that the control strategy could better eliminate the unbalanced power caused by the prediction error and obviously improve the voltage of sensitive loads in the real-time stage on the premise of maintaining economic optimality.

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