scholarly journals Intelligent Model Building and GPC-PID Based Temperature Curve Control Strategy for Metallurgical Industry

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Shuanghong Li ◽  
Xi Li ◽  
Yupu Yang
Keyword(s):  
Control Strategy ◽  
Large Scale ◽  
Model Building ◽  
Control Method ◽  
Temperature Curve ◽  
Learning Ability ◽  
Laminar Cooling ◽  
Cooling Process ◽  
Plate Temperature ◽  
Ts Fuzzy Model

Laminar cooling process is a large-scale, nonlinear system, so the temperature control of such system is a difficult and complex problem. In this paper, a novel modeling method and a GPC-PID based control strategy for laminar cooling process are proposed to control the global temperature curve to produce high quality steel. First, based on the analysis of the cooling process of laminar flow, a new TS fuzzy model which possesses intelligence and self-learning ability is established to improve the temperature prediction accuracy. Second, the target temperature curve can be divided into several subgoals and each subgoal can be described by a CARIMA type of model. Then, by the decentralized predictive control method, GPC-PID based control strategy is introduced to guarantee the laminar cooling process to achieve subtargets, respectively; in that way the steel plate temperature will drop along the optimal temperature curve. Moreover, by employing the dSPACE control board into the process control system, the matrix process ability is added to the production line without large-scale reconstruction. Finally, the effectiveness and performance of the proposed modeling and control strategy are demonstrated by the industrial data and metallography detection in one steel company.

scholarly journals Coordinated Control of Distributed Traffic Signal Based on Multiagent Cooperative Game

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhenghua Zhang ◽  
Jin Qian ◽  
Chongxin Fang ◽  
Guoshu Liu ◽  
Quan Su
Keyword(s):  
Reinforcement Learning ◽  
Cooperative Game ◽  
Large Scale ◽  
Control Method ◽  
Transportation Network ◽  
Traffic Signal ◽  
Learning Ability ◽  
Hybrid Network ◽  
Traffic Signal Control ◽  
Communication And Coordination

In the adaptive traffic signal control (ATSC), reinforcement learning (RL) is a frontier research hotspot, combined with deep neural networks to further enhance its learning ability. The distributed multiagent RL (MARL) can avoid this kind of problem by observing some areas of each local RL in the complex plane traffic area. However, due to the limited communication capabilities between each agent, the environment becomes partially visible. This paper proposes multiagent reinforcement learning based on cooperative game (CG-MARL) to design the intersection as an agent structure. The method considers not only the communication and coordination between agents but also the game between agents. Each agent observes its own area to learn the RL strategy and value function, then concentrates the Q function from different agents through a hybrid network, and finally forms its own final Q function in the entire large-scale transportation network. The results show that the proposed method is superior to the traditional control method.

Coordinated Control Strategy of Multiple FACTS Devices in 750kV Power Grid

2016 ◽  
Author(s):  
Li Yunwei ◽  
Yujun Zhang ◽  
Hua Liu
Keyword(s):  
Wind Power ◽  
Control Strategy ◽  
Large Scale ◽  
Control Method ◽  
Power Grid ◽  
Coordinated Control ◽  
System Level ◽  
Power Fluctuation ◽  
Facts Devices ◽  
Wide Range

Aiming at a wide range and high-frequency reactive voltage fluctuation problem in 750kV power grid which due to large-scale wind power, a coordinated control strategy of a multiple FACTS (Flexible Alternative Current Transmission Systems) configuration is investigated in the paper. System-level and electromagnetic transient level control method of multiple FACTS devices are proposed in the small wind power fluctuation, big disturbance and off-grid level, and the priorities and the principles are determined. The strategy is applied to “Xinjiang and Northwest 750kV main grid interconnection second channel project”, and the correctness and effectiveness is proved.

scholarly journals An Improved Droop-Based Control Strategy for MT-HVDC Systems

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 87 ◽  
Author(s):  
Fazel Mohammadi ◽  
Gholam-Abbas Nazri ◽  
Mehrdad Saif
Keyword(s):  
Control Strategy ◽  
Large Scale ◽  
Reactive Power ◽  
Control Method ◽  
Power Sharing ◽  
Frequency Regulation ◽  
Dc Voltage ◽  
Hvdc System ◽  
Active And Reactive Power ◽  
Simulation Results

This paper presents an improved droop-based control strategy for the active and reactive power-sharing on the large-scale Multi-Terminal High Voltage Direct Current (MT-HVDC) systems. As droop parameters enforce the stability of the DC grid, and allow the MT-HVDC systems to participate in the AC voltage and frequency regulation of the different AC systems interconnected by the DC grids, a communication-free control method to optimally select the droop parameters, consisting of AC voltage-droop, DC voltage-droop, and frequency-droop parameters, is investigated to balance the power in MT-HVDC systems and minimize AC voltage, DC voltage, and frequency deviations. A five-terminal Voltage-Sourced Converter (VSC)-HVDC system is modeled and analyzed in EMTDC/PSCAD and MATLAB software. Different scenarios are investigated to check the performance of the proposed droop-based control strategy. The simulation results show that the proposed droop-based control strategy is capable of sharing the active and reactive power, as well as regulating the AC voltage, DC voltage, and frequency of AC/DC grids in case of sudden changes, without the need for communication infrastructure. The simulation results confirm the robustness and effectiveness of the proposed droop-based control strategy.

Research and Develop on Static Frequency Converter of Pumped Storage Power Plant

2012 ◽  
Vol 608-609 ◽  
pp. 1120-1126 ◽  
Author(s):  
De Shun Wang ◽  
Bo Yang ◽  
Lian Tao Ji
Keyword(s):  
Power Plant ◽  
Control Strategy ◽  
Large Scale ◽  
Frequency Converter ◽  
Position Estimation ◽  
Position Sensor ◽  
Storage Unit ◽  
Rotor Position ◽  
Start Up ◽  
Pumped Storage

A static frequency converter start-up control strategy for pumped-storage power unit is presented. And rotor position detecting without position sensor is realized according to voltage and magnetism equations of ideal synchronous motor mathematics model. The mechanism and implementation method of initial rotor position determination and rotor position estimation under low frequency without position sensor are expounded and validated by simulations. Based on the mentioned control strategy, first set of a static frequency converter start-up device in China for large-scale pumped-storage unit is developed, which is applied to start-up control test in the 90 MW generator/motor of Panjiakou Pumped-storage Power Plant. Test results show that rotor position detecting, pulse commutation, natural commutation, and unit synchronous procedure control of static start-up are all proved. The outcomes have been applied in running equipment, which proves the feasibility of mentioned method.

Sign in / Sign up

Export Citation Format

Share Document