Controlling active low voltage distribution grids with minimum efforts on costs and engineering

Einfalt, Alfred; Zeilinger, Franz; Schwalbe, Roman; Bletterie, Benoît; Kadam, Serdar

doi:10.1109/iecon.2013.6700374

Cited by 29 publications

(13 citation statements)

References 7 publications

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“…This fourth step of the process approaches real world conditions by operating the control concept on the destined field hardware -coupled to a simulation environment, which simulates real world conditions by means of electric power grid simulation combined with a model of the communication channel. Figure 2 shows the five stages of the control concept that were implemented in a smart low voltage grid controller (SLVGC), built of standard automation components and a robust industrial PC [9]. This structure represents the increasing complexity during the control development process.…”

Section: Context For the C-hil Approachesmentioning

confidence: 99%

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Controller hardware in the loop approaches supporting rapid prototyping of smart low voltage grid control

Faschang

Schwalbe

Einfalt

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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Intelligent control approaches for smart low voltage (LV) grids have to meet the future requirements caused by increasing penetration of distributed generation (DG) from renewable sources and new network participators like electric vehicles. To meet these technical requirements complex solutions have to be developed. Due to the fact that these solutions should be implemented in one of the most critical infrastructures, a detailed test, evaluation, and deployment process is necessary. One highly relevant part of this process is controller hardware in the loop (C-HIL) testing. This paper will therefore present and discuss different C-HIL approaches as part of a rapid prototyping process to support the development of active control solutions. The approaches were investigated within the research project "DG DemoNet -Smart LV Grid".

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Section: Context For the C-hil Approachesmentioning

confidence: 99%

“…The architecture of SLVGC supporting rapid prototyping is shown in Figure 3 and described in detail in [9]. It is important for the understanding of the control concepts that the different stages of control are working continuously in hot standby.…”

Section: Slvg Controller Field Architecturementioning

confidence: 99%

Controller hardware in the loop approaches supporting rapid prototyping of smart low voltage grid control

Faschang

Schwalbe

Einfalt

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

Self Cite

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“…The proposed solutions investigated in the literature include network reinforcement, active control by on-load tap changer (OLTC) at the medium voltage (MV)/LV transformer, operating coordination of PV inverters, OLTCs, and line drop compensators [7][8][9]. While network reinforcement seems to be a cost-ineffective solution due to the short time and the rare occurrence of overvoltage, OLTC alone cannot adapt to the complexity of the LV network.…”

Section: Introductionmentioning

confidence: 99%

Optimal strategies of siting, sizing, and scheduling of BESS: Voltage management solution for future LV network

Nguyen

Chaitusaney

Yokoyama

2019

IEEJ Transactions Elec Engng

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With the object of reducing CO 2 emission and the reliance on fossil fuels, solar power generation has received special support and is being deployed rapidly in many distribution networks. Battery energy storage system (BESS), an effective voltage management solution for low-voltage (LV) networks to deal with the high penetration of rooftop photovoltaic (PV) systems, is investigated in this paper considering the degradation of BESS due to aging. Two optimal strategies of BESS cost minimization are proposed for long-term planning and operation planning, where the utility is the BESS owner. As for the long-term planning, a strategy for siting and sizing of BESS is formulated based on the characteristics of the network, typical load, and PV generation profiles. Then, for the operation planning, schedules of BESSs and their cost estimation are provided based on the load and PV generation forecasts of 1 day ahead. The effectiveness of the proposed methods is demonstrated on the simplified network of the Metropolitan Electricity Authority, Thailand, using MATLAB (Natick, Mssachusetts, USA) 2016a and MATPOWER 6.0.

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“…A more detailed analysis in terms of the provision of simulation-based results considering different control approaches was presented in [6]. The approaches include the use of line drop compensation taking into account the effects of PV generation, and the use of smart meter data.…”

Section: Introductionmentioning

confidence: 99%

Voltage control in LV networks: An initial investigation

Procopiou

Long

Ochoa

2014

IEEE PES Innovative Smart Grid Technologies, Europe

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Controlling active low voltage distribution grids with minimum efforts on costs and engineering

Cited by 29 publications

References 7 publications

Controller hardware in the loop approaches supporting rapid prototyping of smart low voltage grid control

Controller hardware in the loop approaches supporting rapid prototyping of smart low voltage grid control

Optimal strategies of siting, sizing, and scheduling of BESS: Voltage management solution for future LV network

Voltage control in LV networks: An initial investigation

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