Multi-Voltage Level Active Distribution Network With Large Share of Weather-Dependent Generation

Abstract

Utility-scale and small scale wind and solar power installations along with electric vehicle charging stations, and other active sources of energy are increasing at the medium and lower voltage levels in the distribution grid. This situation requires a better understanding of the impact of high penetration of weather-dependent renewable energy sources on the operating conditions of the distribution network at both medium and low voltage levels. Despite the need, a multi-voltage level distribution network model, based on real network data and weather-dependent renewable generation data, has not been presented for distribution grid studies. This paper presents a comprehensive multi-voltage level active distribution network model based on real network data along with load and generation time-series for about a year. The network topology is modelled based on geographical data for various rural, semi-urban, and urban locations. The distribution network is embodied with a large share of renewable generation sources, with generation time-series simulated from meteorological data. The network is also flexible to incorporate other assets such as electric vehicle charging stations, storage, etc. The presented active distribution network model can be used to study, optimize, and control the effects of weather-dependent generation and other network assets in the distribution grid.

CFDI: Coordinated false data injection attack in active distribution network

“…The simulation experiments are conducted on the DTU-7k Bus ADN (DTU-ADN) [55]. As shown in Figure 6, DTU-ADN utilizes the topology and parameters of a real Nordic grid at the 60kV level, and lots of DERs are connected at 10 kV buses.…”

“…• We choose 2,000 different load/generation conditions from actual hourly load and generation data for about three months [55]. For each condition, 22 load buses can be regarded as the attack target separately, resulting in a total of 44,000 different CFDI attacks.…”

Dynamic Reconstruction Strategy of Distribution Network Based on Uncertainty Modeling and Impact Analysis of Wind and Photovoltaic Power

“…With the continuous development of distributed generation (DG) technology [1]- [2], traditional single source based distribution networks are replaced by active distribution networks [3], which also brings many challenges. Among them, the output uncertainty of DGs poses a new challenge for the reconstruction technology of distribution networks.…”

Cloud-edge collaboration mechanism for low-voltage power distribution grid service operation

“…With a large number of new power equipment such as distributed photovoltaic and electric vehicle charging piles connecting to the low-voltage distribution grid, massive data of power service operations such as demand response [1][2][3][4][5][6], power load management, and remote automatic meter reading services are required to be transmitted, processed, and stored efficiently [7][8][9][10]. However, traditional cloud computing faces problems such as uplink congestion and highlatency transmission since the cloud server is far away from the power distribution grid [11][12], leading to difficulty in meeting the transmission and computing requirements of low-voltage power distribution grid service data [13][14].…”