Dynamic Performance Assessment of Primary Frequency Modulation for a Power Control System Based on MATLAB

Abstract

The primary frequency modulation (PFM) performance of a power control system (PCS) is an important factor affecting the security and stability of a power grid. The traditional control method is proportional integral (PI) control. In order to improve its dynamic control performance, a control method based on the combination of internal model control (IMC) and PI is proposed. Using the method of theoretical assessment and system identification, a simple simulated model of the typical PCS is established. According to the principle of system identification and the least square estimation (LSE) algorithm, the mathematical models of a generator and a built-in model are established. According to the four dynamic performance indexes, the main and auxiliary assessment index of the PCS are defined, and the benchmark and the result of the performance assessment are given. According to three different structures, the PFM dynamic performance of the PCS is analyzed separately. According to the dynamic performance assessment index of PFM, the structure of the control system and the influence of different parameters on the performance of the PCS are analyzed under ideal conditions. The appropriate control structure and controller parameters are determined. Secondly, under the non-ideal condition, the influence of the actual valve flow coefficient on the performance of the control system is studied under two different valve control modes. The simulation results show that the internal model combined with PI has better dynamic control performance and stronger robustness than the traditional PI control, and it also has better application prospects for thermal power plants.

Research on Primary Frequency Modulation Online Monitoring and Assessment Management System Under “Master–Sub” Control Station Model

“…, Kim et al (2020), and Song et al (2020) have carried out studies on the introduction of battery energy storage, the transformation of a unit heat storage device, and the improvement of heat storage potential to analyze the impact of the transformed and optimized system for the performance of PFM. Delavari and Kamwa (2018), Li and Wang (2018), and Liu et al (2019) are involved in the analysis and optimization of the frequency modulation characteristic curve in terms of frequency modulation dead time stability margin, system optimal load control, and system dynamic control performance, to improve the performance of PFM. Many reference studies have achieved good results in improving the performance of unit PFM and ensuring the frequency stability of the power network.…”

Study on Quantitative Evaluation Index of Power System Frequency Response Capability

“…Reference [16] uses the CPS index to measure the overall operating performance of the power grid, but the CPS index is used to evaluate the control effect of AGC (Automatic Generation Control), and there is no single index to evaluate the primary frequency regulation capability of the power grid [16]. There are also some references to improve the control strategy of equipment-level primary frequency modulation, for example, reference [17] combines PI control with internal model control [17], reference [18] improves the primary frequency modulation of energy storage [18], reference [19] proposes a control strategy for large-scale doubly fed induction generators participating in system primary frequency regulation [19], but these methods all lack the system-level calculation methods. Aiming at the problems caused by large-scale renewable energy grid connection, reference [20] proposes to adopt the SWOT analysis method, which constructs 24 internal and external evaluation factors and eight improvement strategies, evaluate the prospect of operation safety of China's new energy power system, but the SWOT analysis method cannot quantitatively evaluate the factors, and cannot objectively compare the priority between factors [20].…”

“…Figure3shows the characteristics of the dead band of frequency modu the time domain input signal ( ) f t Δ , and time domain output as ( ) P t Δ[17] …”

Improving the Performance of Entities in the Mining Industry by Optimizing Green Business Processes and Emission Inventories

“…Some authors define BPM as a discipline that provides the concepts, appropriate methods, and tools for modeling, implementing, operating, and monitoring business processes [22]. In the current view of some specialists, business process management is a combination of the information technology resources needed to optimize the performance of certain processes [23,24]. In addition, information systems that add value to their business information technology are included in this definition [25,26].…”