Multi-Time Scale Optimization Strategy of Active Distribution Network  Based on SNOP

doi:10.3969/j.issn.1000-7229.2016.02.018

Abstract

Abstract:

According to the stochastic volatility characteristics of distributed generation and load in active distribution network, this paper proposes the multi-time scale optimization strategy for active distribution network based on soft normally open point （SNOP）. With considering the operating characteristics of SNOP, we control the output power of SNOP through the global optimization strategy of distribution network on long-time scale, and realize the dynamic adjustment on the output reference value of SNOP through voltage fluctuation hysteresis control on short-time scale, which can maintain the line voltage stable, and enhance the absorptive capacity of the distributed generation. In the improved IEEE-33 bus system, we analyze the global optimization on long-time scale and the dynamic adjustment on short-time scale, as well as discuss the installation position, capacity and number of SNOP. The results show that the multi-time scale optimization strategy of active distribution network based on SNOP is feasible and effective, and UPFC-type SNOP has a smaller capacity requirement than that of B2B-type.

Key words: active distribution network(ADN), stochastic volatility, soft normally open point （SNOP）, multi-time scale, dynamic adjustment, hysteresis control

CLC Number:

TU 47

YAN Yang, LIAO Qingfen, HU Jingzhu, CEN Bingcheng, ZHU Zhenshan. Multi-Time Scale Optimization Strategy of Active Distribution Network Based on SNOP[J]. Electric Power Construction, 2016, 37(2): 125-131.

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Multi-Time Scale Optimization Strategy of Active Distribution Network Based on SNOP

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