Relay Coordination in Power Systems with Penetration of Distributed Sources
分散型電源導入時の電力系統におけるリレー協調 (AI 翻訳)
Dr. Sangamesh Sakri, Prof. Akshay Aspalli, Prof. Priya Patil
🤖 gxceed AI 要約
日本語
再生可能エネルギー（PV・風力）導入時の配電系統で、従来のリレー整定が不適切になる問題に対し、GAとPSOを用いて方向性過電流リレーのTMSとIpuを最適化する手法を提案。ETAPシミュレーションとIEEE39母線での検証により、全協調を達成し、動作時間を34.7%短縮。
English
This paper addresses relay coordination in distribution systems with high renewable penetration, proposing GA and PSO optimization of TMS and pickup currents for directional overcurrent relays. ETAP simulation and IEEE 39-bus validation show full coordination with 0.3s CTI and 34.7% reduction in operating time.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では再生可能エネルギーの大量導入に伴い、系統保護の高度化が課題。本研究成果は、系統運用の信頼性向上に寄与し、再エネ接続拡大の技術的基盤となる。
In the global GX context
Globally, the integration of inverter-based resources challenges traditional protection schemes. This work provides a metaheuristic-based coordination method that can support grid stability and renewable integration, relevant for utilities and system operators.
👥 読者別の含意
🔬研究者:再エネ系統の保護協調における最適化手法の適用例として参考になる。
🏢実務担当者:系統運用者や保護技術者は、再エネ導入時のリレー整定に活用できる。
📄 Abstract（原文）
A comprehensive OCR coordination scheme has been developed in this research paper. An industrial power system based on renewable energies has been taken for case study which contains a 3 MW PV plant, a 2 MW DFIG based wind turbine and various inductive motor loads at an 11 kV distribution bus. The fault current contribution of inverter-based resources (IBRs) and induction motors in both directions makes the conventional relay grading methods ineffective. A thorough ETAP simulation model is created, which includes the impedances of transformers, parameters of cables, ratios of CT, and modelling of IEC 60255-151 Std. Inverse (SI) characteristic of the relay. To simultaneously optimize time-multiplier settings (TMS) and the pickup currents (Ipu) of six directional overcurrent relays, two meta-heuristic algorithms, namely Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), are executed in MATLAB. The results show that both of the algorithms are able to achieve full coordination with CTI of 0. 3 s. PSO converges 18. 6% faster than GA. According to the conventional definite-time grading, the total primary relay operating time has been minimized by 34. 7%. Cross-validation is done using ieee 39-bus benchmark fault data. Overcurrent relay coordination of inverter-based resources in a DFIG wind turbine and an induction motor as per IEC 60255-151 using ETAP, GA and PSO.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/21931064first seen 2026-08-15 04:24:24 · last seen 2026-08-16 04:27:17
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