523 citations · 1.1k across the 28 of their papers we have counts for
29 papers
Low-cost Real-world Implementation of the Swing-up Pendulum for Deep Reinforcement Learning Experiments
Peter Böhm, Pauline Pounds, Archie C. Chapman
Deep reinforcement learning (DRL) has had success in virtual and simulated domains, but due to key differences between simulated and real-world environments, DRL-trained policies h…
Training Directional Locomotion for Quadrupedal Low-Cost Robotic Systems via Deep Reinforcement Learning
Peter Böhm, Archie C. Chapman, Pauline Pounds
In this work we present Deep Reinforcement Learning (DRL) training of directional locomotion for low-cost quadrupedal robots in the real world. In particular, we exploit randomizat…
A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections
Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding +1
Autonomous intersection management has the potential to reduce road traffic congestion and energy consumption. To realize this potential, efficient algorithms are needed. However,…
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…
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…
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…
Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges
Wayes Tushar, Chau Yuen, Tapan Saha +5
After a century of relative stability of the electricity industry, extensive deployment of distributed energy resources and recent advances in computation and communication technol…
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…
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…
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…
Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation
Donald Azuatalam, Kaveh Paridari, Yiju Ma +3
The home energy management problem has many different facets, including economic viability, data uncertainty and quality of strategy employed. The existing literature in this area…
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…
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.…
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…
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…
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…
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…
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…
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…
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.…
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 (…
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…
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…
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…