activity
20142022
most citedA Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

114 citations · 390 across the 26 of their papers we have counts for

collaborators

27 papers

eess.SY2022★ 3 cited

Operating Envelopes under Probabilistic Electricity Demand and Solar Generation Forecasts

Yu Yi, Gregor Verbic

The increasing penetration of distributed energy resources in low-voltage networks is turning end-users from consumers to prosumers. However, the incomplete smart meter rollout and…

eess.SY2022

Power Hardware-In-the-Loop Testing of a Peer-to-Peer Energy Trading Framework

Thomas Perrau, Maksim Stojkovic, Gregor Verbic

This paper demonstrates the value of power hardware-in-the-loop (PHIL) testing for the study of peer-to-peer (P2P) energy trading. P2P has emerged as a promising candidate for coor…

cs.CE2022★ 98 cited

Fair Coordination of Distributed Energy Resources with Volt-Var Control and PV Curtailment

Daniel Gebbran, Sleiman Mhanna, Yiju Ma +2

This paper presents a novel distributed optimal power flow (DOPF) method for fair distributed energy resource (DER) coordination in the context of mandated rooftop PV inverter cont…

cs.CE2022★ 12 cited

Practical Considerations of DER Coordination with Distributed Optimal Power Flow

Daniel Gebbran, Sleiman Mhanna, Archie C. Chapman +3

The coordination of prosumer-owned, behind-the-meter distributed energy resources (DER) can be achieved using a multiperiod, distributed optimal power flow (DOPF), which satisfies…

eess.SY2021

Can phase change materials in building insulation improve self-consumption of residential rooftop solar? An Australian case study

Zahra Rahimpour, Gregor Verbic, Archie C. Chapman

This work investigates the extent to which phase change material (PCM) in the building's envelope can be used as an alternative to battery storage systems to increase self-consumpt…

econ.EM2019

Multi-Stage Compound Real Options Valuation in Residential PV-Battery Investment

Yiju Ma, Kevin Swandi, Archie Chapman +1

Strategic valuation of efficient and well-timed network investments under uncertain electricity market environment has become increasingly challenging, because there generally exis…

eess.SY2019★ 1 cited

A Turvey-Shapley Value Method for Distribution Network Cost Allocation

Donald Azuatalam, Archie C. Chapman, Gregor Verbič

This paper proposes a novel cost-reflective and computationally efficient method for allocating distribution network costs to residential customers. First, the method estimates the…

cs.LG2019

Macro-action Multi-time scale Dynamic Programming for Energy Management in Buildings with Phase Change Materials

Zahra Rahimpour, Gregor Verbic, Archie C. Chapman

This paper focuses on energy management in buildings with phase change material (PCM), which is primarily used to improve thermal performance, but can also serve as an energy stora…

eess.SY2018

Probabilistic assessment of the impact of flexible loads under network tariffs in low voltage distribution networks

Donald Azuatalam, Archie C. Chapman, Gregor Verbič

Given the historically static nature of low-voltage networks, distribution network companies do not possess tools for dealing with an increasingly variable demand due to the high p…

eess.SY2018

Impacts of Community and Distributed Energy Storage Systems on Unbalanced Low Voltage Networks

Yiju Ma, Mohammad Seydali Seyf Abad, Donald Azuatalam +2

Energy storage systems (EES) are expected to be an indispensable resource for mitigating the effects on networks of high penetrations of distributed generation in the near future.…

eess.SY2018★ 6 cited

Decentralized P2P Energy Trading under Network Constraints in a Low-Voltage Network

Jaysson Guerrero, Archie Chapman, Gregor Verbic

The increasing uptake of distributed energy resources (DERs) in distribution systems and the rapid advance of technology have established new scenarios in the operation of low-volt…

eess.SY2018★ 33 cited

A Study of Energy Trading in a Low-Voltage Network: Centralised and Distributed Approaches

Jaysson Guerrero, Archie Chapman, Gregor Verbic

Over the past years, distributed energy resources (DER) have been the object of many studies, which recognise and establish their emerging role in the future of power systems. Howe…

eess.SY2018

A Novel Probabilistic Framework to Study the Impact of PV-battery Systems on Low-Voltage Distribution Networks

Yiju Ma, Donald Azuatalam, Thomas Power +2

Battery storage, particularly residential battery storage coupled with rooftop PV, is emerging as an essential component of the smart grid technology mix. However, including batter…

cs.CE2018

Accelerated Methods for the SOCP-relaxed Component-based Distributed Optimal Power Flow

Sleiman Mhanna, Archie Chapman, Gregor Verbic

In light of the increased focus on distributed methods, this paper proposes two accelerated subgradient methods and an adaptive penalty parameter scheme to speed-up the convergence…

stat.AP2018

A Nonparametric Bayesian Methodology for Synthesizing Residential Solar Generation and Demand Data

Thomas Power, Gregor Verbič, Archie C. Chapman

The uptake of behind-the-meter distributed energy resources in low-voltage distribution networks has reached a level where network issues have started to emerge, which requires new…

eess.SY2017★ 5 cited

A Framework for Frequency Stability Assessment of Future Power Systems: An Australian Case Study

Ahmad Shabir Ahmadyar, Shariq Riaz, Gregor Verbic +2

The increasing penetration of non-synchronous renewable energy sources (NS-RES) alters the dynamic characteristic, and consequently, the frequency behaviour of a power system. To a…

cs.DC2017★ 7 cited

A Component-Based Dual Decomposition Method for the OPF Problem

Sleiman Mhanna, Gregor Verbic, Archie Chapman

This paper proposes a component-based dual decomposition of the nonconvex AC optimal power flow (OPF) problem, where the modified dual function is solved in a distributed fashion.…

math.OC2017

Computationally Efficient Market Simulation Tool for Future Grid Scenario Analysis

Shariq Riaz, Gregor Verbic, Archie C. Chapman

The paper proposes a computationally efficient electricity market simulation tool (MST) suitable for future grid scenario analysis. The market model is based on a unit commitment (…

cs.CY2016

Fast Stability Scanning for Future Grid Scenario Analysis

Ruidong Liu, Gregor Verbic, Jin Ma

Future grid scenario analysis requires a major departure from conventional power system planning, where only a handful of most critical conditions is typically analyzed. To capture…

math.OC2016★ 6 cited

Exploring Wake Interaction for Frequency Control in Wind Farms

Ahmad Shabir Ahmadyar, Gregor Verbic

The increasing integration of wind generation is accompanied with a growing concern about secure and reliable power system operation. Due to the intermittent nature of wind, the ba…

math.OC2016★ 1 cited

Generic Demand Model Considering the Impact of Prosumers for Future Grid Scenario Analysis

Hesamoddin Marzooghi, Shariq Riaz, Gregor Verbic +2

The increasing uptake of residential PV-battery systems is bound to significantly change demand patterns of future power systems and, consequently, their dynamic performance. In th…

math.OC2016

Tight LP Approximations for the Optimal Power Flow Problem

Sleiman Mhanna, Gregor Verbic, Archie Chapman

DC power flow approximations are ubiquitous in the electricity industry. However, these linear approximations fail to capture important physical aspects of power flow, such as the…

cs.DC2016★ 114 cited

A Fast Distributed Algorithm for Large-Scale Demand Response Aggregation

Sleiman Mhanna, Archie Chapman, Gregor Verbic

A major challenge to implementing residential demand response is that of aligning the objectives of many households, each of which aims to minimize its payments and maximize its co…

math.OC2015★ 15 cited

A Distributed Algorithm for Demand Response with Mixed-Integer Variables

Sleiman Mhanna, Archie C. Chapman, Gregor Verbic

This letter presents a fast distributed algorithm for aggregating a large number of households with mixed-integer variables and intricate couplings between devices. The proposed fa…