Lessons learnt from real-time monitoring of the low voltage distribution network

Barbato, Antimo; Dedè, Alessio; Giustina, Davide Della; Massa, Giovanni; Angioni, Andrea; Lipari, Gianluca; Ponci, Ferdinanda; Repo, Sami

doi:10.1016/j.segan.2017.05.002

Cited by 26 publications

(16 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Power transformers are critical expensive assets in distribution networks, hence special attention must be given to their operation and maintenance [41,42]. Nonetheless, detailed information is scarce at the LV network level, such as the particular phase where a single-end user or DER unit is connected [43], despite successful smart grid pilot projects such as Smartcity Malaga [44], INTEGRIS [5], IDE4L [45], or MONICA [46] have dedicated special efforts in distribution network digitalization and state estimation. Therefore, technical solutions are available today to address congestion in singular elements such as LV feeder phases, avoiding bottlenecks that may arise even earlier in the case of significant DER penetration or demand growth [47,48], since technical constraint violations may occur at an earlier stage [49].…”

Section: Congestion In LV Distribution Networkmentioning

confidence: 99%

Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks

2019

View full text Add to dashboard Cite

A growing presence of distributed energy resources (DER) and the increasingly diverse nature of end users at low-voltage (LV) networks make the operation of these grids more and more challenging. Particularly, congestion and voltage management strategies for LV grids have usually been limited to some elemental criteria based on human experience, asset oversizing, or grid reinforcement. However, with the current massive deployment of sensors in modern LV grids, new approaches are feasible for distribution network assets operation. This article proposes a multi-objective particle swarm optimization (MOPSO) approach, combined with data analytics through affinity propagation clustering, for congestion threshold determination in LV grids. A real case study from the smart grid of Smartcity Malaga Living Lab is used to illustrate the proposed approach. Within this approach, distribution system operators (DSOs) can take decisions in order to prevent situations of risk or potential failure at LV grids.

show abstract

Section: Congestion In LV Distribution Networkmentioning

confidence: 99%

Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks

2019

View full text Add to dashboard Cite

show abstract

“…The previous section discussed how the focus of network management has been on the medium voltage part of the network with little attention paid to their low voltage conditions such as phase balancing. This lack of knowledge about LV networks appears to be a global problem [32].…”

Section: Missed Opportunities For Better Network Managementmentioning

confidence: 99%

“…But is this perception that PVs are the main or sole cause of LVDN problems the whole truth? Research literature on LV network monitoring is very limited and under-explored [32] and to the authors' knowledge, there have been no published reports on power quality examination from the perspective of end-use solar households. The purpose of this paper is to report on measured power quality (voltage, frequency and power factor) at the customer service point-the point of common coupling (PCC) or customer point of attachment (PoA).…”

Section: Introductionmentioning

confidence: 99%

Power Quality and Rooftop-Photovoltaic Households: An Examination of Measured Data at Point of Customer Connection

Miller

Liu

Amin³

et al. 2018

Sustainability

View full text Add to dashboard Cite

Photovoltaics (PVs) have been widely reported as causing power quality problems for electricity distribution networks. Much of this literature gives the impression that networks, particularly low voltage networks, were effectively and proficiently managed and operated before the rise of PVs and that this new technology is causing problems that did not previously exist and would not currently exist if there were no rooftop PV systems. The purpose of this paper is to examine measured data of power quality at the customer service point of four random households in four different distribution networks in Australia. This is the first report of power quality examination from the perspective of the end-user (solar households). The results show that the low voltage distribution networks reported in this study do not have networks that meet required power quality standards-and this cannot be attributed to the rooftop PV systems reported here. The paper proposes that power quality failures in these low voltage networks could be attributed to poor historical management, missed opportunities to embrace PVs as a means of better network management, lack of acknowledgement of the emergence of the prosumer and lack of total quality management and systems thinking.

show abstract

“…To overcome capacity or voltage limitations, the reconfiguration, reinforcement, and expansion of grid equipment are all considered valid solutions [5,6,10]. Further proposed solutions include but are not limited to reactive power provision of PV inverters [9e11, 13], active power curtailment of PV inverters [7,9e11], implementation of large-scale battery systems [6,10], implementation of voltage regulated distribution transformers 2 [7,9,10], implementation of booster transformers [10], control of demand-side appliances such as electric vehicles [8,9], advanced voltage control at the high/medium voltage substation (wide-area control) [5,10], and advanced grid monitoring [12].…”

Section: Introductionmentioning

confidence: 99%

The German experience with integrating photovoltaic systems into the low-voltage grids

et al. 2018

View full text Add to dashboard Cite

a b s t r a c tThe integration of rooftop photovoltaic systems in the low-voltage distribution grids has become a major international trend, helped by the sinking prices for photovoltaics. One of the key questions revolves around the technical challenges brought about by the grid integration of these decentralized systems. This paper therefore analyzes the substantial practical experiences of ten representative German distribution system operators, who play a leading role in this field. Our findings show that grid expansion measures are primarily undertaken to ensure compliance with the permissible limits for voltage and current. Grid optimization measures represent the most economical initial step and include, for instance, changes in grid structure and wide-area control. Once their potential is maximized, classic grid expansion measures such as laying parallel cables are implemented. In individual cases, the low-voltage grid is reinforced by so-called intelligent operating equipment such as voltage regulators or voltage-regulated local distribution transformers. Moreover, improved grid planning measures lead to a better use of the available low-voltage grid capacity. The practical solutions successfully implemented by German distribution system operators should also prove relevant for other countries that are currently planning the deployment of decentralized renewable energies.

show abstract

Lessons learnt from real-time monitoring of the low voltage distribution network

Cited by 26 publications

References 22 publications

Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks

Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks

Power Quality and Rooftop-Photovoltaic Households: An Examination of Measured Data at Point of Customer Connection

The German experience with integrating photovoltaic systems into the low-voltage grids

Contact Info

Product

Resources

About