Abstract
The penetration of photovoltaic (PV) outputs brings great challenges to optimal operation of active distribution networks (ADNs), especially leading to more serious overvoltage problems. This study proposes a zonal voltage control scheme based on multiple spatiotemporal characteristics for highly penetrated PVs in ADNs. In the spatial domain, a community detection algorithm using a reactive/ active power quality function was introduced to partition an ADN into sub-networks. In the time domain, short-term zonal scheduling (SZS) with 1 h granularity was drawn up based on a cluster. The objective was to minimize the supported reactive power and the curtailed active power in reactive and active power sub-networks. Additionally, a real-time zonal voltage control scheme (RZVC) with 1 min granularity was proposed to correct the SZS rapidly by choosing and controlling the key PV inverter to regulate the supported reactive power and the curtailed active power of the inverters to prevent the overvoltage in each sub-network. With the time domain cooperation, the proposed method could achieve economic control and avoid overvoltage caused by errors in the forecast data of the PVs. For the spatial domain, zonal scheduling and zonal voltage control were carried out in each cluster, and the short-term scheduling and voltage controlling problem of the ADN could then be decomposed into several sub-problems. This could simplify the optimization and control which can reduce the computing time. Finally, an actual 10kV, 103-node network in Zhejiang Province of China is employed to verify the effectiveness and feasibility of the proposed approach.
Highlights
IntroductionThe high penetrated renewable energy source (RES)-based distributed generation (DG) units has converted passive distribution networks into active distribution networks (ADNs) [1]
In recent years, the high penetrated renewable energy source (RES)-based distributed generation (DG) units has converted passive distribution networks into active distribution networks (ADNs) [1].The operation of current ADNs is adversely influenced by highly penetrated PVs, which can lead to overvoltage, flow reverses, and power quality issues
This study proposes a zonal voltage control scheme based on multiple spatiotemporal characteristics
Summary
The high penetrated renewable energy source (RES)-based distributed generation (DG) units has converted passive distribution networks into active distribution networks (ADNs) [1]. A better solution by reactive power and active power combined regulation methods has been developed to realize high PV penetration in ADNs. In [8,9], an optimal inverter dispatch (OID) scheme was proposed to find the critical PV inverter, which had the most significant impact on distribution network operation. In the light of the abovementioned problems, this study proposes a multiple spatiotemporal characteristics-based zonal voltage control scheme for highly penetrated PVs. The major contributions are summarized as follows: (1) Based on community detection algorithm, a reactive/ active power quality function for network partition is proposed to divide the network into sub-networks, and a complicated optimization was decomposed into several sub- optimization which could be solved in a decentralized way. Based on the power–voltage sensitivity matrix, the reactive and active power partitions can be decoupled to achieve a two-level partitioning of the reactive power and the active power
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