Fair power curtailment of distributed renewable energy sources to mitigate overvoltages in low-voltage networks

Ali, M. M. Viyathukattuva Mohamed; Nguyen, Phuong H.; Kling, W.L.; Chrysochos, Andreas I.; Papadopoulos, Theofilos A.; Papagiannis, Grigoris K.

doi:10.1109/ptc.2015.7232796

Cited by 27 publications

(8 citation statements)

References 16 publications

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“…PV curtailment is one of multiple strategies to deal with the challenges that the fast growing number of renewable energy sources in low voltage (LV) networks has posed. When the voltage in the LV network becomes too high due to peak generation-for example on sunny days-and low demand, the active power injection of certain PV systems can be temporally decreased to prevent overvoltage [47]. Other strategies include storing excess energy in batteries, electric vehicles or other energy demanding appliances, demand response management through pricing mechanisms, or grid reinforcement.…”

Section: Energy Justice Considerations In the Use Of Ai For Pv Curtai...mentioning

confidence: 99%

AI and Energy Justice

2023

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Artificial intelligence (AI) techniques are increasingly used to address problems in electricity systems that result from the growing supply of energy from dynamic renewable sources. Researchers have started experimenting with data-driven AI technologies to, amongst other uses, forecast energy usage, optimize cost-efficiency, monitor system health, and manage network congestion. These technologies are said to, on the one hand, empower consumers, increase transparency in pricing, and help maintain the affordability of electricity in the energy transition, while, on the other hand, they may decrease transparency, infringe on privacy, or lead to discrimination, to name a few concerns. One key concern is how AI will affect energy justice. Energy justice is a concept that has emerged predominantly in social science research to highlight that energy related decisions—in particular, as part of the energy transition—should produce just outcomes. The concept has been around for more than a decade, but research that investigates energy (in)justice in the context of digitalized and data-driven electricity systems is still rather scarce. In particular, there is a lack of scholarship focusing on the challenges and questions that arise from the use of AI technologies in the management of electricity systems. The central question of this paper is, therefore: what may be the implications of the use of AI in smart electricity systems from the perspective of energy justice, and what does this mean for the design and regulation of these technologies?

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Section: Energy Justice Considerations In the Use Of Ai For Pv Curtai...mentioning

confidence: 99%

AI and Energy Justice

2023

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“…Through software upgrade of the inverter control, Local Control [7] (LC) of the inverter can be implemented to PV units. LC features droop control of production curve, which is triggered accordingly to the voltage levels of the local node or point of connection.…”

Section: Figure I: Increase Mas Control Schemementioning

confidence: 99%

Market-based business model for flexible energy aggregators in distribution networks

Zupančič

Prislan

Lakic

et al. 2017

2017 14th International Conference on the European Energy Market (EEM)

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The increasing rate of the smart technology implementations in the energy sector brings new control solutions for distributed renewable energy sources (DRES) to tackle the additional challenges on the distribution network that arise from increased integration of renewable energy sources (RES). With these new control solutions, a possibility of new services that could be offered on electricity and ancillary markets emerged, providing a possibility of new source of income for DRES, Demand Response (DR) and Aggregators. This paper presents the main results of the EU FP7 project INCREASE, where innovative controls for DRES and DR units were developed and investigated. The main novelty of the paper is a sensitivity analysis of INCREASE ancillary services and business model applied to representative European grid for overall policy conclusions. The knowledge gained in INCREASE provides the basis for the work in H2020 project STORY, where the demand response strategies will be augmented to encompass small-scale storage solutions.

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“…Multiple studies have shown improved voltage control using autonomous inverters with reactive power (Volt/VAr) droop curve [1,3,31], active power (Volt/Watt) droop curve [2,21,22], and a combination of both [15,16]. All new solar PV installations must include autonomous voltage regulation based on a droop control strategy as required under the IEEE 1547 Standard on Smart Inverters [4].…”

Section: Introductionmentioning

confidence: 99%

Interaction Between Coordinated and Droop Control PV Inverters

Lusis

Andrew

Liebman

et al. 2020

Proceedings of the Eleventh ACM International Conference on Future Energy Systems

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Autonomous droop control PV inverters have improved voltage regulation compared to the inverters without grid support functions, but more flexible control techniques will be required as the number of solar photovoltaic (PV) installations increases. This paper studies three inverter future deployment scenarios with droop control inverters, non-exporting inverters, and coordinated inverter control (CIC). The network operation and the interaction between various inverter control methods are studied by simulating inverter operation on two low-voltage networks. Considering 30% PV penetration as the base case, we demonstrate that coordinated inverters can mitigate overvoltages and voltage fluctuations caused by the tripping of passive inverters in 85% of PV location cases when at least as many coordinated as passive inverters are deployed on the 114-node test feeder. However, this rate reduced to 37% with the IEEE 906-node network demonstrating that the deployment of coordinated inverter control may not be able to reverse passive inverter-related voltage disturbances when the build-up of passive inverters has reached a certain threshold.The aggregated PV output from coordinated inverters can be also used to provide grid support services. When the low-voltage networks operate close to the upper voltage limits, the change in the power output from coordinated inverters following a regulation request may be partially offset by passive inverters. Considering an equal number of passive and coordinated inverters, this paper shows that for each unit of the down-regulation request delivered by coordinated inverters, passive inverter output may increase by up to 0.2 units and decrease by up to 0.45 units during coordinated inverter up-regulation.

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Fair power curtailment of distributed renewable energy sources to mitigate overvoltages in low-voltage networks

Cited by 27 publications

References 16 publications

AI and Energy Justice

AI and Energy Justice

Market-based business model for flexible energy aggregators in distribution networks

Interaction Between Coordinated and Droop Control PV Inverters

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