Fuzzy Based Algorithm for Stage-I of Cascaded Intelligent Relaying

• 作者: Soumyadeep Samonto Samarjit Kar Sagarika Pal Arif Ahmed Sekh Bishal Sarkar
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 数学
• 关键词: FAULT Current Error Protection Cascaded TRIP Fuzzy Logic Controller
• 年，卷（期）: 2021,（1）
• 页码范围: 31-43
• 页数: 13页
• 分类号: O17

摘要

In the present <span><span style="white-space:nowrap;">scenario</span></span><span></span><span style="font-family:;" "=""><span> the protection system has become an important issue in the </span><span>field of the power system. An Intelligent protection system has been introduced in many sectors like low voltage DC breakers</span><i><span>,</span></i><span> VCB</span><i><span>,</span></i><span> SF6 </span><span>and</span><span> so on. The said protection schemes have been developed to control the moving contacts using intelligent algorithms for tripping overall load against phase to ground faults occurring within the system. The related works have introduced Trapezoidal and Triangular membership functions as input to the fuzzy inference system. It is also found that the Fuzzy Logic Controller has been designed by taking two inputs as current and voltage. The output membership function has been preferred by implementing Trapezoidal and Gaussian membership functions. In this paper</span><i><span>,</span></i><span> a new concept based </span><span>over current</span><span> protection scheme has been introduced. </span><span>Intelligent</span><span> relaying technique has been used to trip a particular load against over current fault by introducing multistage cascaded intelligent relaying. Initially</span><i><span>,</span></i><span> the proposed method is carried out for Stage-I and reported by incorporating fuzzy algorithm by taking current error and current error rates as input using Gaussian membership function to the black box and fed signal to the breaker as output using trapezoidal and triangular membership function respectively to control the loads connected in the system. The </span><span>best</span></span><span>-</span><span>fit</span><span style="font-family:;" "=""><span> membership function as input to the fuzzy engine is shown here is </span><span>Gaussian</span><span> membership function. The analysis reported here by taking both the fault scenario as </span><span>phase</span><span> to phase and phase