Comparative performance analysis of fruit fly optimisation algorithm for multi-area multi-source automatic generation control under deregulated environment

被引:75
作者
Mohanty, Banaja [1 ]
Hota, Prakash Kumar [1 ]
机构
[1] Veer Surendra Sai Univ Technol, Dept Elect Engn, Burla 768018, Odisha, India
关键词
power system interconnection; hydrothermal power systems; nuclear power stations; power generation control; electricity supply industry deregulation; optimisation; three-term control; PI control; sensitivity analysis; thermal power stations; comparative performance analysis; fruit fly optimisation algorithm; multiarea multisource automatic generation control; deregulated environment; swarm optimisation algorithm; multiarea multisource interconnected power system; reheat thermal generating unit; hydro generating unit; nuclear generating unit; generation rate constraint; AC-DC link; proportional-integral controller; integral controller; proportional-integral-derivative controller; integral-double derivative controller; proportional-integral-double derivative controller; PIDD controller; IDD controller; system parameter variation; LOAD FREQUENCY CONTROL; POWER-SYSTEM; AGC; SIMULATION; MODEL;
D O I
10.1049/iet-gtd.2015.0284
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
A new swarm optimisation algorithm, that is, fruit fly optimisation algorithm is proposed to tuned several classical controllers for multi-area multi-source interconnected power system under deregulated environment. In deregulated environment, for multi-source combination of reheat thermal, hydro and nuclear generating units in each control area with appropriate generation rate constraint and AC/DC link. The performance of several controller such as integral (I), proportional-integral, proportional-integral-derivative, integral-double derivative (IDD) and proportional-integral-double derivative (PIDD) are compared under different power system scenario and it is found that PIDD controller performs better than other controllers. Then sensitivity analysis is performed with system parameter variation from their nominal values. Sensitivity analysis reveals that optimum gains of PIDD controller need not be reset for wide variation in system parameters.
引用
收藏
页码:1845 / 1855
页数:11
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