A novel adaptive deadbeat-based control for load frequency control of low inertia system in interconnected zones north and south of Scotland

被引:19
作者
Muhssin, Mazin T. [1 ,2 ]
Cipcigan, Liana M. [1 ]
Obaid, Zeyad A. [1 ]
Al-Ansari, Wissam F. [3 ,4 ]
机构
[1] Cardiff Univ, Sch Engn, Inst Energy, Cardiff, S Glam, Wales
[2] Al Mustansiriyah Univ, Coll Engn, Baghdad, Iraq
[3] Minis Sci & Technol, Baghdad, Iraq
[4] Dept Ind Dev & Res, Baghdad, Iraq
基金
英国工程与自然科学研究理事会;
关键词
Adaptive Deadbeat (ADB); Load Frequency Control (LFC); Low inertia system; Multiarea system; Power system; Particle Swarm Optimization (PSO); Rate of Change of Frequency (RoCoF); Scotland zones; Smart grid; POWER-SYSTEMS; DESIGN; ENERGY; PI;
D O I
10.1016/j.ijepes.2016.12.005
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An adaptive deadbeat (ADB) controller was developed to investigate its capability in providing a fast frequency response to an electrical power system. This controller was developed to meet the requirements of the National Grid System Operability Framework (SOF), which requires frequency to be accelerated in line with a fast rate of change of frequency (RoCoF) when a high rate of nonsynchronous machines are presented. The controller's parameters were optimized using particle swarm optimization (PSO) to ensure a robust operation and to maintain the proper operation of the power system. The design of the ADB controller was then integrated with the multiarea model of the north and south zones of Scotland. This model was developed in order to conform to the future energy requirements scenario stated by National Grid whereby regional control can be, provided in both the north and south of Scotland. In comparison with the standard PI and Fuzzy-PI controllers used in the four highlighted case studies, it was shown that the ADB controller was able to significantly reduce the RoCoF and deviation of frequency when a sudden loss of generation occurred in a low inertia zone. The ADB also showed high robustness against a wide range of operating conditions. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:52 / 61
页数:10
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