인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Voltage stability enhancement and loss reduction present critical challenges in modern power distribution networks. This study develops a Particle Swarm Optimization (PSO) based multi-objective framework for optimal sizing and placement of Distributed Generation (DG) units and Static Synchronous Compensators (STATCOMs) in radial distribution systems. The research contributes a comprehensive methodology that simultaneously maximizes voltage stability index (VSI), enhances voltage profiles, and minimizes power losses through intelligent optimization. The proposed approach is validated on real 35-bus and 53-bus radial distribution systems from Bahir Dar, Ethiopia, demonstrating significant improvements: VSI enhancement from 0.8083 to 0.840 p.u. (3.96% improvement) and power loss reduction from 150.28 kW to 27.65 kW (81.59% reduction) for the 35-bus system. The 53-bus system achieves VSI improvement from 0.61 to 0.84 p.u. (37.7% enhancement) and loss reduction from 612.43 kW to 121.43 kW (80.17% reduction). Contributions include: (i) joint optimization of DG and STATCOM placement considering multiple objectives, (ii) validation on real distribution feeders with practical constraints, and (iii) comprehensive performance analysis demonstrating the effectiveness of coordinated device deployment.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.