Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard

Fattahi, Javad; Samadi, Mikhak; Erol‐Kantarci, Melike; Schriemer, Henry

doi:10.1016/j.eng.2020.06.005

Cited by 8 publications

(7 citation statements)

References 39 publications

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“…The last inequality holds based on the definition of the optimization problem (15). The above derivation implies that 𝐸 𝑡 < 𝑂 𝑡 + max t1 ≥𝑡 (𝑅 * 𝜂 * 𝑌 ( Z𝑡 , t 1 )), which contradicts to our choice of 𝐸 𝑡 .…”

Section: A the Correctness Of Abs And Conversion Into Absmentioning

confidence: 87%

“…where the last equality is based on (15) and (16). Next, we need to see why the second inequality of the lemma holds.…”

Section: A the Correctness Of Abs And Conversion Into Absmentioning

confidence: 99%

“…Price-based approaches, on the other hand, assume that utility can only send price incentive signals. Customers can decide how they will respond to the incentive signals [15] based on their own preference. This form of control is therefore more favorable when customers wish to retain their autonomy and privacy.…”

Section: Introductionmentioning

confidence: 99%

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Online distributed price-based control of DR resources with competitive guarantees

Lin

et al. 2022

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

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Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs. CCS CONCEPTS• Hardware → Smart grid; • Mathematics of computing → Mathematical analysis.

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Section: A the Correctness Of Abs And Conversion Into Absmentioning

confidence: 87%

“…where the last equality is based on (15) and (16). Next, we need to see why the second inequality of the lemma holds.…”

Section: A the Correctness Of Abs And Conversion Into Absmentioning

confidence: 99%

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Online distributed price-based control of DR resources with competitive guarantees

Lin

et al. 2022

Proceedings of the Thirteenth ACM International Conference on Future Energy Systems

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“…An alternative approach to DER control known as transactive energy, while normally associated with energy trading, has also been applied to ancillary service provision or grid management by DERs. There have been customer trials of transactive Volt-VAr control in the USA and Europe [74,96]. According to this DER control technique, rather than a command, the customer-owned DER is given an incentive based on an offer for service from the DNSP.…”

Section: Trends In Inverter Design Architecture and Functionalitymentioning

confidence: 99%

“…Addressing all of the possible power quality problems that can arise in DERs can be framed as a complex multi-objective optimisation. In this regard, several authors have proposed hierarchical control schemes based on advanced algorithms for constrained optimisation, such as genetic algorithms (GAs) [6, [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][91][92][93][94][95][96][98][99][100][101][102][103][104][105][106][107][108][109][110]. However, these are computationally intensive methods that require input data such as line and load parameters, inverter specifications, and information on the constraints and operating costs.…”

Section: Management Of Power Quality Problems (Pq Control)mentioning

confidence: 99%

DER Control and Management Strategies for Distribution Networks: A Review of Current Practices and Future Directions

Smith,

Robinson,

Elphick

2024

Energies

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It is widely recognised that improving the visibility and controllability of distributed energy resources (DERs) within electricity distribution networks will have significant benefits, particularly for the management of low-voltage (LV) and medium-voltage (MV) networks. Much work within the electricity distribution industry is currently focused on improving the visibility of DERs on LV networks. From a control-theoretic perspective, this enables closing the loop between the DER and the control room and enables a shift towards utilising data-driven model-based control strategies for DERs. The result is a system-wide performance that is closer to the theoretical optimal. In the Australian context, several jurisdictions are trialling techniques such as dynamic operating envelopes to enhance DER hosting capacity, using IEEE 2030.5-based architectures, with the implementation of distributed energy resource management (DERMS) systems at the enterprise level still quite limited. While there is significant activity focused on DER behaviour and control techniques by way of inverter grid codes and standards, the core issue of interoperability with distribution management systems (DMSs), market operators or participants, electric vehicles (EVs) or other DERs is still a work in progress. Importantly, this is also an impediment to realising distributed architectures for DER control in the grid. The unique characteristics of Australian distribution networks highlights several challenging problems for DER control and management. The objective of this paper is to provide a broad overview of DER control and management strategies in the Australian context, with an application focus on DER control in distribution network management.

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Flexibility Prediction of Aggregated Electric Vehicles and Domestic Hot Water Systems in Smart Grids

Zhou

et al. 2021

Engineering

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Transactive Demand Response Operation at the Grid Edge using the IEEE 2030.5 Standard

Cited by 8 publications

References 39 publications

Online distributed price-based control of DR resources with competitive guarantees

Online distributed price-based control of DR resources with competitive guarantees

DER Control and Management Strategies for Distribution Networks: A Review of Current Practices and Future Directions

Flexibility Prediction of Aggregated Electric Vehicles and Domestic Hot Water Systems in Smart Grids

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