Towards frequency control with large scale Virtual Power Plants

Ruthe, Sebastian; Rehtanz, Christian; Lehnhoff, Sebastian

doi:10.1109/isgteurope.2012.6465756

Cited by 29 publications

(6 citation statements)

References 4 publications

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“…This property of the frequency is what can lead to the successful implementation of virtual power plants, namely, power plants that are composed of different sources (wind, PV solar, etc.) at different locations of the distribution system but coordinated together to provide ancillary services [59]- [61].…”

Section: Frequency Dividermentioning

confidence: 99%

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Milano

Dörfler

Hug

et al. 2018

2018 Power Systems Computation Conference (PSCC)

668

573

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The electric power system is currently undergoing a period of unprecedented changes. Environmental and sustainability concerns lead to replacement of a significant share of conventional fossil fuel-based power plants with renewable energy resources. This transition involves the major challenge of substituting synchronous machines and their well-known dynamics and controllers with power electronics-interfaced generation whose regulation and interaction with the rest of the system is yet to be fully understood. In this article, we review the challenges of such low-inertia power systems, and survey the solutions that have been put forward thus far. We strive to concisely summarize the laidout scientific foundations as well as the practical experiences of industrial and academic demonstration projects. We touch upon the topics of power system stability, modeling, and control, and we particularly focus on the role of frequency, inertia, as well as control of power converters and from the demand-side.

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Section: Frequency Dividermentioning

confidence: 99%

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Milano

Dörfler

Hug

et al. 2018

2018 Power Systems Computation Conference (PSCC)

668

573

View full text Add to dashboard Cite

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“…Steady-state frequency response of the VPP system for grid frequency control has been studied in several works. 3,13,[30][31][32] But, there are significantly fewer control strategies employed in the literature to improve the dynamic response of the VPP-based frequency control model. Recently in Reference 33, a frequency response model was developed for the VPP integrated power system network in lower order linearized form.…”

Section: Motivation Behind Our Workmentioning

confidence: 99%

“…And such a system needs to be controlled using robust strategies to meet the strict power quality requirements. Steady‐state frequency response of the VPP system for grid frequency control has been studied in several works 3,13,30‐32 . But, there are significantly fewer control strategies employed in the literature to improve the dynamic response of the VPP‐based frequency control model.…”

Section: Introductionmentioning

confidence: 99%

Design of gorilla troops optimizer‐tuned 2DOF‐PID controller to improve the frequency response of centralized‐control technical virtual power plant

Chandra

2023

Optim Control Appl Methods

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This work presents an enhanced frequency control model of a centralized‐control technical virtual power plant (TVPP) with distributed energy resources (DERs). To provide frequency control support, a centralized TVPP is exposed to communication delays because of the numerous message exchanges between the grid operator, the VPP operator, and the DERs. The VPP operator also imposes dead band restrictions on the droop control signal to avoid frequent activation of sensitive DERs. The literature lacks the frequency control models of VPP that can handle these delay and dead‐band issues. This work attempts to incorporate frequency dead‐band and communication delays in the primary (droop control) and secondary control (ACE control) loop for the DERs in the VPP. In addition, a control approach based on 2DOF‐PID controllers tuned by a recently developed artificial gorilla troops optimizer (GTO) is employed to control the frequency of the VPP model. The GTO algorithm performs better on comparative assessment than the other classical optimization algorithms. Under dynamic performance evaluation, the 2DOF‐PID controller outperforms the GTO‐optimized PID and PI controllers. Finally, the sensitivity analysis results show that the proposed GTO‐optimized 2DOF‐PID controller for the VPP model is robust against uncertainties in the system.

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“…The VPP is referred as a technical unit that receives state information from the devices and sends them control commands while the aggregator is a legal entity participating in markets. In [14], the authors introduce a strategy to allow loads and small generation units to participate in the secondary frequency control. The approach rests on the concept of a VPP that employs a price signal to schedule its resources and direct control to provide secondary reserves in real-time.…”

Section: Introductionmentioning

confidence: 99%

A virtual power plant for the aggregation of domestic heating load flexibility

Alahäivälä

Kilkki

Degefa

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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Demand-side is becoming more active in various power system operations as it is able to provide the system with extra flexibility to balance the volatility of the generationside. Suggested applications can vary from short term emergency control to participation in a day-ahead market. In order to improve the presence of demand response in these operations, this paper describes a virtual power plant (VPP) for domestic heating load aggregation. The main contribution is to introduce the three states of VPP operation: normal, emergency and restoration that allow loads to participate in the maintaining of consumptiongeneration balance in different time scales. Furthermore, the study discusses a multi-agent system (MAS) approach to implement the proposed VPP. The VPP operation is demonstrated and tested by dynamic simulations.

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Towards frequency control with large scale Virtual Power Plants

Cited by 29 publications

References 4 publications

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Foundations and Challenges of Low-Inertia Systems (Invited Paper)

Design of gorilla troops optimizer‐tuned 2DOF‐PID controller to improve the frequency response of centralized‐control technical virtual power plant

A virtual power plant for the aggregation of domestic heating load flexibility

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