Distribution network reconfiguration considering DGs using a hybrid CS-GWO algorithm for power loss minimization and voltage profile enhancement
نویسندگان
چکیده
This paper presents an implementation of the hybrid Cuckoo search and Grey wolf (CS-GWO) optimization algorithm for solving problem distribution network reconfiguration (DNR) optimal location sizing distributed generations (DGs) simultaneously in radial systems (RDSs). is being used significantly to minimize system power loss, voltage deviation at load buses improve profile. When high-dimensional datasets using GWO algorithm, it simply falls into optimum local region. To enhance strengthen searchability, CS integrated update best three candidate solutions. CS-GWO has a more substantial capability find solutions problem. Furthermore, validate effectiveness performances proposed tested evaluated standard IEEE 33-bus 69-bus RDSs by considering different scenarios.
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چکیده رساله/پایان نامه : تاکنون روشهای متعددی در ارتباط با مکان یابی خطا در شبکه انتقال ارائه شده است. استفاده مستقیم از این روشها در شبکه توزیع به دلایلی همچون وجود انشعابهای متعدد، غیر یکنواختی فیدرها (خطوط کابلی، خطوط هوایی، سطح مقطع متفاوت انشعاب ها و تنه اصلی فیدر)، نامتعادلی (عدم جابجا شدگی خطوط، بارهای تکفاز و سه فاز)، ثابت نبودن بار و اندازه گیری مقادیر ولتاژ و جریان فقط در ابتدای...
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ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Informatics
سال: 2021
ISSN: ['2089-3272']
DOI: https://doi.org/10.52549/ijeei.v9i4.3432