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Prof. Steven Weller
School of Electrical Engineering and Computing, University of Newcastle

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0 Feedback Control Systems
0 Sustainable Energy
0 control
0 climate econometrics
0 positive systems

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positive systems

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Journal article
Published: 02 February 2021 in Sustainability
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A large potential exists in the Southeast Asia region for deployment of high-efficiency, low-emission (HELE) electricity generation technologies. A cost–benefit analysis of HELE technologies compared to the less efficient subcritical electricity generation plants is thus carried out to find a persuasive scenario supporting quicker transition from subcritical stations towards HELE technologies in the region. A levelized cost of electricity (LCOE) analysis is carried out for both technologies under four potential policy scenarios. Scenario 1 does not take into consideration any carbon pricing or costs associated with the desulphurization (deSOx) and denitrification (deNOx) facilities. Scenario 2 (Scenario 3) incorporates carbon pricing (costs associated with the deSOx and deNOx facilities), and Scenario 4 includes both carbon pricing and costs associated with the deSOx and deNOx facilities. Under each scenario, a sensitivity analysis is performed to evaluate the uncertainty affecting the future coal prices. This study demonstrates that HELE technologies are competitive against the subcritical plants under all four scenarios and both the technologies derive benefit from lifetime extensions and low coal prices. It is revealed that future deployments of HELE technologies can be best expedited by factoring in carbon pricing in LCOE costs of coal-fired power plants under Scenario 2.

ACS Style

Hassan Ali; Han Phoumin; Steven Weller; Beni Suryadi. Cost–Benefit Analysis of HELE and Subcritical Coal-Fired Electricity Generation Technologies in Southeast Asia. Sustainability 2021, 13, 1591 .

AMA Style

Hassan Ali, Han Phoumin, Steven Weller, Beni Suryadi. Cost–Benefit Analysis of HELE and Subcritical Coal-Fired Electricity Generation Technologies in Southeast Asia. Sustainability. 2021; 13 (3):1591.

Chicago/Turabian Style

Hassan Ali; Han Phoumin; Steven Weller; Beni Suryadi. 2021. "Cost–Benefit Analysis of HELE and Subcritical Coal-Fired Electricity Generation Technologies in Southeast Asia." Sustainability 13, no. 3: 1591.

Journal article
Published: 01 January 2020 in Mathematical Control & Related Fields
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ACS Style

Lars Grüne; Matthias A. Müller; Christopher M. Kellett; Steven R. Weller. Strict dissipativity for discrete time discounted optimal control problems. Mathematical Control & Related Fields 2020, 1 .

AMA Style

Lars Grüne, Matthias A. Müller, Christopher M. Kellett, Steven R. Weller. Strict dissipativity for discrete time discounted optimal control problems. Mathematical Control & Related Fields. 2020; ():1.

Chicago/Turabian Style

Lars Grüne; Matthias A. Müller; Christopher M. Kellett; Steven R. Weller. 2020. "Strict dissipativity for discrete time discounted optimal control problems." Mathematical Control & Related Fields , no. : 1.

Journal article
Published: 01 January 2020 in IFAC-PapersOnLine
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This paper addresses the problem of characterizing external positivity (equivalently, non-negative impulse response) of third-order single-input, single-output (SISO) linear systems. We show how an exact, geometric solution to this problem follows by first identifying an equivalence between the impulse response of an externally positive system on the one hand, and the probability density function of a non-negative random variable on the other, then drawing on the characterization of matrix exponential distributions, defined as probability distributions for which the Laplace transform is a rational function. The results are then extended to the characterization of strongly unimodal systems, defined as systems in which input signals with a time-derivative that has at most one sign variation (namely, are pulse-like) are mapped to output signals with the same property. The results are applied to a third-order compartmental system arising in pharmacokinetics, in which the properties of non-negativity of the impulse response and the preservation of unimodality from drug adminstration (input) to compartmental drug concentration (output) are of clinical relevance.

ACS Style

Steven R. Weller; Jennifer H. Martin. On strongly unimodal third-order SISO linear systems with applications to pharmacokinetics. IFAC-PapersOnLine 2020, 53, 4654 -4661.

AMA Style

Steven R. Weller, Jennifer H. Martin. On strongly unimodal third-order SISO linear systems with applications to pharmacokinetics. IFAC-PapersOnLine. 2020; 53 (2):4654-4661.

Chicago/Turabian Style

Steven R. Weller; Jennifer H. Martin. 2020. "On strongly unimodal third-order SISO linear systems with applications to pharmacokinetics." IFAC-PapersOnLine 53, no. 2: 4654-4661.

Review article
Published: 16 May 2019 in Annual Reviews in Control
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For his work in the economics of climate change, Professor William Nordhaus was a co-recipient of the 2018 Nobel Memorial Prize for Economic Sciences. A core component of the work undertaken by Nordhaus is the Dynamic Integrated model of Climate and Economy, known as the DICE model. The DICE model is a discrete-time model with two control inputs and is primarily used in conjunction with a particular optimal control problem in order to estimate optimal pathways for reducing greenhouse gas emissions. In this paper, we provide a tutorial introduction to the DICE model and we indicate challenges and open problems of potential interest for the systems and control community.

ACS Style

Christopher M. Kellett; Steven R. Weller; Timm Faulwasser; Lars Grüne; Willi Semmler. Feedback, dynamics, and optimal control in climate economics. Annual Reviews in Control 2019, 47, 7 -20.

AMA Style

Christopher M. Kellett, Steven R. Weller, Timm Faulwasser, Lars Grüne, Willi Semmler. Feedback, dynamics, and optimal control in climate economics. Annual Reviews in Control. 2019; 47 ():7-20.

Chicago/Turabian Style

Christopher M. Kellett; Steven R. Weller; Timm Faulwasser; Lars Grüne; Willi Semmler. 2019. "Feedback, dynamics, and optimal control in climate economics." Annual Reviews in Control 47, no. : 7-20.

Preprint
Published: 19 December 2018
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ACS Style

Christopher M. Kellett; Steven R. Weller; Timm Faulwasser; Lars Grüne; Willi Semmler. Feedback and Optimal Control in Climate Economics. 2018, 1 .

AMA Style

Christopher M. Kellett, Steven R. Weller, Timm Faulwasser, Lars Grüne, Willi Semmler. Feedback and Optimal Control in Climate Economics. . 2018; ():1.

Chicago/Turabian Style

Christopher M. Kellett; Steven R. Weller; Timm Faulwasser; Lars Grüne; Willi Semmler. 2018. "Feedback and Optimal Control in Climate Economics." , no. : 1.

Journal article
Published: 13 October 2018 in Journal of Geophysical Research: Solid Earth
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We develop a transfer function to determine in situ line‐of‐sight (LOS) gravity difference directly from GRACE range‐acceleration measurements. We first reduce GRACE data to form residual range‐acceleration referenced to dynamic orbit computed with a reference gravity field and non‐conservative force data. Thus, the residuals and the corresponding LOS gravity difference (LGD) data reflect time‐variable gravity signals. A transfer function is designed based on correlation‐admittance spectral analysis. The correlation spectrum shows that residual range‐acceleration and LGD are near‐perfectly correlated for frequencies >5 cycles‐per‐revolution (CPR). The admittance spectrum quantifies that the LGD response to range‐acceleration is systematically larger at lower frequencies, due to the increased contribution of centrifugal acceleration. We find that the correlation and admittance spectra are stationary (i.e., are independent of time, satellite altitude, and gravity strength) and, therefore, can be determined a priori with high fidelity. We determine the spectral transfer function and the equivalent time‐domain filter. Using both synthetic and actual GRACE data, we demonstrate that in situ LGD can be estimated via the transfer function with an estimation error of 0.15 nm/s2, whereas the actual GRACE data error is around 1.0 nm/s2. We present an application of LGD data to surface water storage changes in large basins such as Amazon, Congo, Parana and Mississippi by processing 11 years of GRACE data. Runoff routing models are calibrated directly using LGD data. Our technique demonstrates a new way of using GRACE data by forward modelling of various geophysical models and in‐orbit comparison with such GRACE in situ data.

ACS Style

Khosro Ghobadi‐Far; Shin‐Chan Han; Steven Weller; Bryant D. Loomis; Scott B. Luthcke; Torsten Mayer‐Gürr; Saniya Behzadpour. A Transfer Function Between Line‐of‐Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation. Journal of Geophysical Research: Solid Earth 2018, 123, 9186 -9201.

AMA Style

Khosro Ghobadi‐Far, Shin‐Chan Han, Steven Weller, Bryant D. Loomis, Scott B. Luthcke, Torsten Mayer‐Gürr, Saniya Behzadpour. A Transfer Function Between Line‐of‐Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation. Journal of Geophysical Research: Solid Earth. 2018; 123 (10):9186-9201.

Chicago/Turabian Style

Khosro Ghobadi‐Far; Shin‐Chan Han; Steven Weller; Bryant D. Loomis; Scott B. Luthcke; Torsten Mayer‐Gürr; Saniya Behzadpour. 2018. "A Transfer Function Between Line‐of‐Sight Gravity Difference and GRACE Intersatellite Ranging Data and an Application to Hydrological Surface Mass Variation." Journal of Geophysical Research: Solid Earth 123, no. 10: 9186-9201.

Journal article
Published: 27 March 2018 in IEEE Transactions on Smart Grid
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The cyber security of modern power systems has drawn increasing attention in both academia and industry. Many detection and defense methods for cyber-attacks have therefore been proposed to enhance robustness of modern power systems. In this paper, we propose a new, distributed blockchain-based protection framework to enhance the self-defensive capability of modern power systems against cyber-attacks. We present a comprehensive discussion on how blockchain technology can be used to enhance the robustness and security of the power grid, by using meters as nodes in a distributed network which encapsulates meter measurements as blocks. Effectiveness of the proposed protection framework is demonstrated via simulation experiments on the IEEE-118 benchmark system.

ACS Style

Gaoqi Liang; Steven R. Weller; Fengji Luo; Junhua Zhao; Zhao Yang Dong. Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks. IEEE Transactions on Smart Grid 2018, 10, 3162 -3173.

AMA Style

Gaoqi Liang, Steven R. Weller, Fengji Luo, Junhua Zhao, Zhao Yang Dong. Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks. IEEE Transactions on Smart Grid. 2018; 10 (3):3162-3173.

Chicago/Turabian Style

Gaoqi Liang; Steven R. Weller; Fengji Luo; Junhua Zhao; Zhao Yang Dong. 2018. "Distributed Blockchain-Based Data Protection Framework for Modern Power Systems Against Cyber Attacks." IEEE Transactions on Smart Grid 10, no. 3: 3162-3173.

Journal article
Published: 01 March 2018 in IFAC Journal of Systems and Control
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ACS Style

Philipp Braun; Timm Faulwasser; Lars Grüne; Christopher M. Kellett; Steven R. Weller; Karl Worthmann. Hierarchical distributed ADMM for predictive control with applications in power networks. IFAC Journal of Systems and Control 2018, 3, 10 -22.

AMA Style

Philipp Braun, Timm Faulwasser, Lars Grüne, Christopher M. Kellett, Steven R. Weller, Karl Worthmann. Hierarchical distributed ADMM for predictive control with applications in power networks. IFAC Journal of Systems and Control. 2018; 3 ():10-22.

Chicago/Turabian Style

Philipp Braun; Timm Faulwasser; Lars Grüne; Christopher M. Kellett; Steven R. Weller; Karl Worthmann. 2018. "Hierarchical distributed ADMM for predictive control with applications in power networks." IFAC Journal of Systems and Control 3, no. : 10-22.

Journal article
Published: 01 January 2018 in IFAC-PapersOnLine
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ACS Style

Timm Faulwasser; Robin Nydestedt; Christopher M. Kellett; Steven R. Weller. Towards a FAIR-DICE IAM: Combining DICE and FAIR Models ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. TF, CMK, and SRW are supported by the Australian Research Council under ARC-DP180103026. IFAC-PapersOnLine 2018, 51, 126 -131.

AMA Style

Timm Faulwasser, Robin Nydestedt, Christopher M. Kellett, Steven R. Weller. Towards a FAIR-DICE IAM: Combining DICE and FAIR Models ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. TF, CMK, and SRW are supported by the Australian Research Council under ARC-DP180103026. IFAC-PapersOnLine. 2018; 51 (5):126-131.

Chicago/Turabian Style

Timm Faulwasser; Robin Nydestedt; Christopher M. Kellett; Steven R. Weller. 2018. "Towards a FAIR-DICE IAM: Combining DICE and FAIR Models ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. TF, CMK, and SRW are supported by the Australian Research Council under ARC-DP180103026." IFAC-PapersOnLine 51, no. 5: 126-131.

Journal article
Published: 01 January 2018 in Applied Energy
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ACS Style

Elizabeth L. Ratnam; Steven R. Weller. Receding horizon optimization-based approaches to managing supply voltages and power flows in a distribution grid with battery storage co-located with solar PV. Applied Energy 2018, 210, 1017 -1026.

AMA Style

Elizabeth L. Ratnam, Steven R. Weller. Receding horizon optimization-based approaches to managing supply voltages and power flows in a distribution grid with battery storage co-located with solar PV. Applied Energy. 2018; 210 ():1017-1026.

Chicago/Turabian Style

Elizabeth L. Ratnam; Steven R. Weller. 2018. "Receding horizon optimization-based approaches to managing supply voltages and power flows in a distribution grid with battery storage co-located with solar PV." Applied Energy 210, no. : 1017-1026.

Journal article
Published: 01 January 2018 in IFAC-PapersOnLine
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The most widely used integrated assessment model for studying the economics of climate change is the Dynamic Integrated model of Climate and Economy (DICE). DICE is a nonlinear, time-varying discrete-time system whereby important quantities are calculated by solving an associated optimal control problem. Here, we describe an open-source Matlab implementation of the DICE model which uses Model Predictive Control (MPC) to approximately solve the DICE optimal control problem.

ACS Style

Timm Faulwasser; Christopher Kellett; Steven R. Weller. MPC-DICE: An open-source Matlab implementation of receding horizon solutions to DICE ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. The authors are supported by the Australian Research Council under ARC-DP180103026. IFAC-PapersOnLine 2018, 51, 120 -125.

AMA Style

Timm Faulwasser, Christopher Kellett, Steven R. Weller. MPC-DICE: An open-source Matlab implementation of receding horizon solutions to DICE ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. The authors are supported by the Australian Research Council under ARC-DP180103026. IFAC-PapersOnLine. 2018; 51 (5):120-125.

Chicago/Turabian Style

Timm Faulwasser; Christopher Kellett; Steven R. Weller. 2018. "MPC-DICE: An open-source Matlab implementation of receding horizon solutions to DICE ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. The authors are supported by the Australian Research Council under ARC-DP180103026." IFAC-PapersOnLine 51, no. 5: 120-125.

Journal article
Published: 22 November 2017 in IEEE Transactions on Smart Grid
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Cyber security of modern power systems has drawn increasing attention in recent years. This paper proposes a class of cyber-topology attacks derived from false data injection attacks (FDIAs), with the aim of disturbing the operation of power systems. Three kinds of cyber-topology attack are proposed: line-addition attack, line-removal attack, and line-switching attack. By directly misleading the decision-making process of the Independent System Operator (ISO), the proposed cyber-topology attack consequently affects the economic operation and security of the system. We establish optimal attack models for different cyber-topology attack scenarios, and use a recently proposed metaheuristic optimization algorithm (the Natural Aggregation Algorithm (NAA)) to solve the resulting attack models. Experiments based on the IEEE 39-node benchmark system show that the proposed class of attacks poses a significant threat to modern power systems.

ACS Style

Gaoqi Liang; Steven R. Weller; Junhua Zhao; Fengji Luo; Zhao Yang Dong. A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios. IEEE Transactions on Smart Grid 2017, 10, 1704 -1712.

AMA Style

Gaoqi Liang, Steven R. Weller, Junhua Zhao, Fengji Luo, Zhao Yang Dong. A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios. IEEE Transactions on Smart Grid. 2017; 10 (2):1704-1712.

Chicago/Turabian Style

Gaoqi Liang; Steven R. Weller; Junhua Zhao; Fengji Luo; Zhao Yang Dong. 2017. "A Framework for Cyber-Topology Attacks: Line-Switching and New Attack Scenarios." IEEE Transactions on Smart Grid 10, no. 2: 1704-1712.

Journal article
Published: 01 July 2017 in IFAC-PapersOnLine
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ACS Style

Salman Hafeez; Steven R. Weller; Christopher M. Kellett. Impact of Climate Model Parametric Uncertainty in an MPC Implementation of the DICE Integrated Assessment Model. IFAC-PapersOnLine 2017, 50, 959 -965.

AMA Style

Salman Hafeez, Steven R. Weller, Christopher M. Kellett. Impact of Climate Model Parametric Uncertainty in an MPC Implementation of the DICE Integrated Assessment Model. IFAC-PapersOnLine. 2017; 50 (1):959-965.

Chicago/Turabian Style

Salman Hafeez; Steven R. Weller; Christopher M. Kellett. 2017. "Impact of Climate Model Parametric Uncertainty in an MPC Implementation of the DICE Integrated Assessment Model." IFAC-PapersOnLine 50, no. 1: 959-965.

Proceedings article
Published: 01 July 2017 in 2017 IEEE Power & Energy Society General Meeting
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Cyber-attacks pose significant hazards to the secure and economic operation of modern power systems. This paper proposes a composite false data injection attack (FDIA) and cyber topology attack capable of disturbing conventional transactions in the electricity market. The Australian electricity market mechanism is considered, wherein each trading period is comprised of six 5-minute security-constraint economic dispatch (SCED) intervals. In the proposed attack, the manipulation of cyber-topology information over the 30-minute horizon is considered, with the attack objective being the malicious increase in the costs borne by customers in the market. The proposed attack poses no security threat to the power system, affecting only the economic costs to customers. A defining feature of the proposed algorithm is the joint consideration of both topology error processing and bad data detection constraints in order to ensure validity of the proposed attack. The differential evolution (DE) algorithm is used to find the corresponding attack strategies. Case studies are conducted to validate the proposed attack methodology.

ACS Style

Gaoqi Liang; Steven R. Weller; Junhua Zhao; Fengji Luo; Yang Dong Zhao; Zhao Yang Dong. Composite FDIA and topology attack on the electricity market. 2017 IEEE Power & Energy Society General Meeting 2017, 1 -5.

AMA Style

Gaoqi Liang, Steven R. Weller, Junhua Zhao, Fengji Luo, Yang Dong Zhao, Zhao Yang Dong. Composite FDIA and topology attack on the electricity market. 2017 IEEE Power & Energy Society General Meeting. 2017; ():1-5.

Chicago/Turabian Style

Gaoqi Liang; Steven R. Weller; Junhua Zhao; Fengji Luo; Yang Dong Zhao; Zhao Yang Dong. 2017. "Composite FDIA and topology attack on the electricity market." 2017 IEEE Power & Energy Society General Meeting , no. : 1-5.

Proceedings article
Published: 01 July 2017 in 2017 IEEE Power & Energy Society General Meeting
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The false data injection attack (FDIA) is a form of cyber-attack capable of affecting the secure and economic operation of the smart grid. With DC model-based state estimation, this paper analyzes ways of constructing a successful attacking vector to fulfill specific targets, i.e., pre-specified state variable target and pre-specified meter target according to the adversary's willingness. The grid operator's historical reading experiences on meters are considered as a constraint for the adversary to avoid being detected. Also from the viewpoint of the adversary, we propose to take full advantage of the dual concept of the coefficients in the topology matrix to handle with the problem that the adversary has no access to some meters. Effectiveness of the proposed method is validated by numerical experiments on the IEEE-14 benchmark system.

ACS Style

Gaoqi Liang; Steven R. Weller; Junhua Zhao; Fengji Luo; Zhao Yang Dong. False data injection attacks targeting DC model-based state estimation. 2017 IEEE Power & Energy Society General Meeting 2017, 1 -5.

AMA Style

Gaoqi Liang, Steven R. Weller, Junhua Zhao, Fengji Luo, Zhao Yang Dong. False data injection attacks targeting DC model-based state estimation. 2017 IEEE Power & Energy Society General Meeting. 2017; ():1-5.

Chicago/Turabian Style

Gaoqi Liang; Steven R. Weller; Junhua Zhao; Fengji Luo; Zhao Yang Dong. 2017. "False data injection attacks targeting DC model-based state estimation." 2017 IEEE Power & Energy Society General Meeting , no. : 1-5.

Journal article
Published: 06 March 2017 in IEEE Transactions on Smart Grid
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This paper proposes a generalized false data injection attack-based cyber topology attack capable of disturbing conventional transactions in the electricity market. The proposed attack aims to mislead customers pay higher electricity bills in the wholesale market by making small, undetected price deviations during each attack interval over an extended period. In this paper, the Australian electricity market trading mechanism is considered, in which an extended attack over a single day is proposed, spanning totally 288 5-minute dispatch (attack) intervals. The proposed attack poses no security threat to the power system, affecting only the economic costs borne by customers. A defining feature of the proposed model is the joint consideration of both topology error processing and bad data detection constraints in order to ensure validity of the proposed attack. The rolling horizon optimization technique is used to make appropriate adjustment to the attacker's strategy considering the practical operating condition. A new metaheuristic optimization algorithm previously proposed by the authors, Natural aggregation algorithm, is used to find the corresponding attack strategies in this paper. Case studies on the IEEE-118 benchmark system are conducted to validate the proposed attack methodology.

ACS Style

Gaoqi Liang; Steven R. Weller; Fengji Luo; Junhua Zhao; Zhao Yang Dong. Generalized FDIA-Based Cyber Topology Attack With Application to the Australian Electricity Market Trading Mechanism. IEEE Transactions on Smart Grid 2017, 9, 3820 -3829.

AMA Style

Gaoqi Liang, Steven R. Weller, Fengji Luo, Junhua Zhao, Zhao Yang Dong. Generalized FDIA-Based Cyber Topology Attack With Application to the Australian Electricity Market Trading Mechanism. IEEE Transactions on Smart Grid. 2017; 9 (4):3820-3829.

Chicago/Turabian Style

Gaoqi Liang; Steven R. Weller; Fengji Luo; Junhua Zhao; Zhao Yang Dong. 2017. "Generalized FDIA-Based Cyber Topology Attack With Application to the Australian Electricity Market Trading Mechanism." IEEE Transactions on Smart Grid 9, no. 4: 3820-3829.

Journal article
Published: 01 September 2016 in International Journal of Electrical Power & Energy Systems
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Highlights•Central and local quadratic program-based scheduling of residential battery storage.•Increase daily operational savings in the context of net metering.•Balance the management of bi-directional power flows against increases in savings.•Applied to a dataset consisting of 145 Australian residential customers with PV.•Power flow management in the case study comes at a cost to the residential consumer. AbstractIn this paper we propose two optimization-based algorithms for coordinating residential battery storage when solar photovoltaic (PV) generation in excess of load is compensated via net metering. Our objective is to balance increases in daily operational savings that accrue to customers with the management of reverse power flows and/or peak loads approaching a network capacity. To achieve this objective we present a central quadratic program (QP)-based algorithm, where residential customers implement a distributor-specified day-ahead battery schedule. We also present a local QP-based algorithm, where each residential customer implements a day-ahead battery schedule subject to three distributor-specified weights. To complete our assessment of the distributor benefit, both QP-based scheduling algorithms are applied to measured load and generation data from 145 residential customers located in an Australian distribution network. The results of this case study confirm both QP-based scheduling algorithms manage reverse power flow and peak loads within a distribution network. In the context of net metering, all customers exhibit the same operational savings when implementing the central QP-based algorithm, while the local QP-based algorithm disproportionately penalizes some customers.

ACS Style

Elizabeth L. Ratnam; Steven R. Weller; Christopher M. Kellett. Central versus localized optimization-based approaches to power management in distribution networks with residential battery storage. International Journal of Electrical Power & Energy Systems 2016, 80, 396 -406.

AMA Style

Elizabeth L. Ratnam, Steven R. Weller, Christopher M. Kellett. Central versus localized optimization-based approaches to power management in distribution networks with residential battery storage. International Journal of Electrical Power & Energy Systems. 2016; 80 ():396-406.

Chicago/Turabian Style

Elizabeth L. Ratnam; Steven R. Weller; Christopher M. Kellett. 2016. "Central versus localized optimization-based approaches to power management in distribution networks with residential battery storage." International Journal of Electrical Power & Energy Systems 80, no. : 396-406.

Review
Published: 22 March 2016 in IEEE Transactions on Smart Grid
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With rapid advances in sensor, computer, and communication networks, modern power systems have become complicated cyber-physical systems. Assessing and enhancing cyber-physical system security is, therefore, of utmost importance for the future electricity grid. In a successful false data injection attack (FDIA), an attacker compromises measurements from grid sensors in such a way that undetected errors are introduced into estimates of state variables such as bus voltage angles and magnitudes. In evading detection by commonly employed residue-based bad data detection tests, FDIAs are capable of severely threatening power system security. Since the first published research on FDIAs in 2009, research into FDIA-based cyber-attacks has been extensive. This paper gives a comprehensive review of state-of-the-art in FDIAs against modern power systems. This paper first summarizes the theoretical basis of FDIAs, and then discusses both the physical and the economic impacts of a successful FDIA. This paper presents the basic defense strategies against FDIAs and discusses some potential future research directions in this field.

ACS Style

Gaoqi Liang; Jun Hua Zhao; Fengji Luo; Steven R. Weller; Zhao Yang Dong. A Review of False Data Injection Attacks Against Modern Power Systems. IEEE Transactions on Smart Grid 2016, 8, 1630 -1638.

AMA Style

Gaoqi Liang, Jun Hua Zhao, Fengji Luo, Steven R. Weller, Zhao Yang Dong. A Review of False Data Injection Attacks Against Modern Power Systems. IEEE Transactions on Smart Grid. 2016; 8 (4):1630-1638.

Chicago/Turabian Style

Gaoqi Liang; Jun Hua Zhao; Fengji Luo; Steven R. Weller; Zhao Yang Dong. 2016. "A Review of False Data Injection Attacks Against Modern Power Systems." IEEE Transactions on Smart Grid 8, no. 4: 1630-1638.

Conference paper
Published: 01 January 2016 in Novel Methods in Computational Finance
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Local energy storage and smart energy scheduling can be used to flatten energy profiles with undesirable peaks. Extending a recently developed model to allow controllable loads, we present Centralized and Decentralized Model Predictive Control algorithms to reduce these peaks. Numerical results show that the additional degree of freedom leads to improved performance.

ACS Style

Philipp Braun; Lars Grüne; Christopher M. Kellett; Steven R. Weller; Karl Worthmann. Model Predictive Control of Residential Energy Systems Using Energy Storage and Controllable Loads. Novel Methods in Computational Finance 2016, 22, 617 -623.

AMA Style

Philipp Braun, Lars Grüne, Christopher M. Kellett, Steven R. Weller, Karl Worthmann. Model Predictive Control of Residential Energy Systems Using Energy Storage and Controllable Loads. Novel Methods in Computational Finance. 2016; 22 ():617-623.

Chicago/Turabian Style

Philipp Braun; Lars Grüne; Christopher M. Kellett; Steven R. Weller; Karl Worthmann. 2016. "Model Predictive Control of Residential Energy Systems Using Energy Storage and Controllable Loads." Novel Methods in Computational Finance 22, no. : 617-623.

Journal article
Published: 01 January 2016 in IFAC-PapersOnLine
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Recent results in the literature have provided connections between the so-called turnpike property, near optimality of closed-loop solutions using model predictive control schemes, and strict dissipativity. An important feature of these results is that strict dissipativity provides a checkable condition for the other two properties. These results relate to optimal control problems with undiscounted stage cost. Motivated by applications in economics, we consider optimal control problems with discounted stage cost and define a notion of discounted strict dissipativity. As in the undiscounted case, we show that discounted strict dissipativity provides a checkable condition for various properties of the solutions of the optimal control problem associated with the appropriately defined discounted available storage function

ACS Style

Lars Grüne; Christopher Kellett; Steven R. Weller. On a discounted notion of strict dissipativity**C.M. Kellett and L. Grüne are supported by Australian Research Council Discovery Project DP160102138. L. Grüne is supported by the Deutsche Forschungsgemeinschaft, Grant GR 1569/13-1. The paper was written while L. Grüne was visiting the University of Newcastle. IFAC-PapersOnLine 2016, 49, 247 -252.

AMA Style

Lars Grüne, Christopher Kellett, Steven R. Weller. On a discounted notion of strict dissipativity**C.M. Kellett and L. Grüne are supported by Australian Research Council Discovery Project DP160102138. L. Grüne is supported by the Deutsche Forschungsgemeinschaft, Grant GR 1569/13-1. The paper was written while L. Grüne was visiting the University of Newcastle. IFAC-PapersOnLine. 2016; 49 (18):247-252.

Chicago/Turabian Style

Lars Grüne; Christopher Kellett; Steven R. Weller. 2016. "On a discounted notion of strict dissipativity**C.M. Kellett and L. Grüne are supported by Australian Research Council Discovery Project DP160102138. L. Grüne is supported by the Deutsche Forschungsgemeinschaft, Grant GR 1569/13-1. The paper was written while L. Grüne was visiting the University of Newcastle." IFAC-PapersOnLine 49, no. 18: 247-252.