An Online Rolling Dispatch Optimization Strategy for the Access of Intermittent New Energy

2014 ◽  
Vol 672-674 ◽  
pp. 190-194
Author(s):  
Jian Bo Wang ◽  
Wen Ying Liu ◽  
Wei Zhou Wang ◽  
Fu Chao Liu ◽  
Xi Wei Jiang
Keyword(s):  
Wind Power ◽  
Predictive Control ◽  
Time Scale ◽  
Control Method ◽  
Hierarchical Control ◽  
Active Power ◽  
Optimization Strategy ◽  
Industrial Control ◽  
Power Dispatch ◽  
New Energy

For the volatility and intermittency of intermittent new energy like wind power, traditional dispatch model and technology are severely challenged. According to the characteristics that the prediction accuracy of wind power increases as time scale increases, this paper presents a multi-time scale active power dispatch model based on the traditional dispatch model, and proposes an active power dispatch hierarchical predicting control method on the base of model predictive control and multilevel hierarchical control during industrial control course. Finally, it gets the online rolling dispatch model and strategy for the access of intermittent energy.

scholarly journals Adaptive Multi-Model Switching Predictive Active Power Control Scheme for Wind Generator System

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1329 ◽  
Author(s):  
Hongwei Li ◽  
Kaide Ren ◽  
Shuaibing Li ◽  
Haiying Dong
Keyword(s):  
Power Generation ◽  
Model Predictive Control ◽  
Power Control ◽  
Wind Power ◽  
Predictive Control ◽  
Control Method ◽  
Measured Data ◽  
Active Power ◽  
Wind Power Generation ◽  
Active Power Control

To deal with the randomness and uncertainty of the wind power generation process, this paper proposes the use of the clustering method to complement the multi-model predictive control algorithm for active power control. Firstly, the fuzzy clustering algorithm is adopted to classify actual measured data; then, the forgetting factor recursive least square method is used to establish the multi-model of the system as the prediction model. Secondly, the model predictive controller is designed to use the measured wind speed as disturbance, the pitch angle as the control variable, and the active power as the output. Finally, the parameters and measured data of wind generators in operation in Western China are adopted for simulation and verification. Compared to the single model prediction control method, the adaptive multi-model predictive control method can yield a much higher prediction accuracy, which can significantly eliminate the instability in the process of wind power generation.

A Study on Multistage Coordination and Control Strategy for JiBei Grid Considering Wind Power Fluctuation

2014 ◽  
Vol 635-637 ◽  
pp. 1194-1198
Author(s):  
Jian Fei Xu ◽  
Yu Jie Xu ◽  
Feng Lu ◽  
Dun Nan Liu ◽  
Peng Yuan Li
Keyword(s):  
Wind Power ◽  
Power Supply ◽  
Control Method ◽  
Hierarchical Control ◽  
Clean Energy ◽  
Control Area ◽  
Power Fluctuation ◽  
Wind Fluctuation ◽  
And Control ◽  
Coordination And Control

The establishment of independent control area for JiBei grid will improve the flexibility of regulation for local units, and absorb more wind power and other clean energy. However, due to the high proportion of wind power capacity and the fluctuation and intermittent of wind power, it presents a challenge to the power supply safety. In this paper, based on the prediction of regulation demand and regulation speed in different time scales, dynamic hierarchical control method is proposed. Several strategies of hierarchical control under the emergency of steady climbing, reverse and fluctuations are established. Hence, it improves the capacity of power supply safety and the proportion of wind absorption. Finally, based on the measurement of characteristics of wind fluctuation, the value of reserve capacity in different control levels is calculated.

Dual-loop generalized predictive control method for two-phase three-wire railway active power quality controller

2020 ◽  
pp. 014233122093247 ◽  
Author(s):  
Hamed Jafari Kaleybar ◽  
Morris Brenna ◽  
Federica Foiadelli
Keyword(s):  
Control System ◽  
Power Quality ◽  
Predictive Control ◽  
Reactive Power ◽  
Control Method ◽  
Fast Response ◽  
Active Power ◽  
Two Phase ◽  
Power Substation ◽  
Quality Controller

One of the most challenging topics in electric railway networks (ERNs) is power quality (PQ) problems caused by single-phase feeding of time-varying and high-power locomotives. During previous years, many techniques and compensators have been offered to alleviate these problems. Railway active power quality controller (RAPQC) is considered as one of the most efficient approaches. Due to the time-variant, uncertainty and distorted features of ERNs, the controlling of RAPQCs has always been a substantial concern to experts. This paper presents, a new robust control system for two-phase three-wire RAPQC (ThRAPQC) based on generalized model predictive control integrated with modified instantaneous reactive power theory (GMPC-MIRP). A dual-loop balancing system has been adopted in the proposed control system to equalize the active powers of traction power substation (TPSS) adjacent feeders, compensate reactive powers and suppress harmonic simultaneously. The performance of the proposed method in comparison with the conventional Fryze-Buchholz-Depenbrock (FBD)-based current strategy together with hysteresis current controller (FBD-HCC) has been evaluated through the detailed simulations and Opal-RT 5600-based laboratory setup results. The fast response, high precision, lower fluctuation in reference current tracking and high capability of working in distorted conditions are the outstanding privileges of the proposed method that are confirmed by the output results.

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