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.
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초록· 키워드
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The aggregation of group loads, which consists of the linear and the non-linear systems, yields the error involved in the reactive power aggregation, which is greater than the active power aggregation in the component based load modeling. Each individual reactive power in a group load affects the aggregated load different from composition rate. This paper proposes a new method that determines the degree of impacts by adjusting the coefficient of weight factors of each load using the least squares error method. The effectiveness of proposed algorithm is demonstrated by simulating three aggregation cases.
목차
Abstract
1. 서론
2. 비선형 부하를 고려한 부하 합성 기법
3. 실험 및 결과
4. 결론
참고문헌
참고문헌 (12)
참고문헌 신청
1. [학술지(정기간행물)] - C. Concordia / 1982 / Load Representation in Power System Stability Studies / IEEE Trans. on PAS 101 : 969 ~ 977
2. [학술지(정기간행물)] - Ali Keyhani / 2004 / Composite Neural Network Load Models for Power System Stability Analysis / IEEE PES 2004 2 : 1159 ~ 1163
3. [단행본] - Peter W. Sauer / 1998 / Power System Dynamics and Stability / Prentice Hall, Inc : 89 ~ 218
4. [학술지(정기간행물)] - Mau Teng Au / 2007 / Development of Stochastic Aggregate Harmonic Load Model Based on Field Measurements / IEEE Trans. on Power Delivery 22 : 323 ~ 330
5. [학술지(정기간행물)] - Huaiwei Liao / 2007 / Power System Harmonic State Estimation and Observability Analysis via Sparsity Maximization / IEEE Trans. on Power Systems 22 : 15 ~ 23
2. [학술지(정기간행물)] - Ali Keyhani / 2004 / Composite Neural Network Load Models for Power System Stability Analysis / IEEE PES 2004 2 : 1159 ~ 1163
3. [단행본] - Peter W. Sauer / 1998 / Power System Dynamics and Stability / Prentice Hall, Inc : 89 ~ 218
4. [학술지(정기간행물)] - Mau Teng Au / 2007 / Development of Stochastic Aggregate Harmonic Load Model Based on Field Measurements / IEEE Trans. on Power Delivery 22 : 323 ~ 330
5. [학술지(정기간행물)] - Huaiwei Liao / 2007 / Power System Harmonic State Estimation and Observability Analysis via Sparsity Maximization / IEEE Trans. on Power Systems 22 : 15 ~ 23
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UCI(KEPA) : I410-ECN-0101-2014-560-000815261