Power-Frequency Balance in Multi-generation System Using Optimized Fuzzy Logic Controller

被引:7
作者
Bhateshvar, Yogesh Krishan [1 ]
Mathur, Hitesh Datt [2 ]
Bansal, Ramesh C. [3 ]
机构
[1] Manipal Univ, Dept Automobile Engn, Jaipur, Rajasthan, India
[2] Birla Inst Technol & Sci, Dept Elect & Elect Engn, Pilani, Rajasthan, India
[3] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0028 Pretoria, Hatfield, South Africa
关键词
two-area power system; automatic generation control; proportional integral derivative controller; fuzzy logic controller; genetic algorithm; deregulated environment; Ziegler-Nichols method; adaptive particle swarm optimization; AUTOMATIC-GENERATION CONTROL; PID CONTROLLER; GOVERNOR DEADBAND; PARAMETERS; SIMULATION; ALGORITHM;
D O I
10.1080/15325008.2017.1334103
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
This paper emphasizes the development of control strategy for inter-area oscillation suppression for a unified two-area hydro-thermal deregulated power system. A proportional derivative-type fuzzy logic controller with integral (PDFLC+I) controller was proposed for automatic generation control. Further comparisons among conventional integral controller, proportional integral derivative controller, and PDFLC+I are carried out, where the PDFLC+I controller is optimized by four different optimization techniques namely, algorithm, ant colony optimization, classical particle swarm optimization, and adaptive particle swarm optimization. In PDFLC+I controller optimization, scaling parameters of controllers are optimized. A comparative study shows that the proposed PDFLC+I controller has a better dynamic response following a step load change for the combination of PoolCo and bilateral contract-type transaction in deregulated environment. Proposed controller performance has also been examined for +/- 30% variation in system parameters. Non-linearity in the form of governor dead band is taken into account during simulation.
引用
收藏
页码:1275 / 1286
页数:12
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