- Electrical and Electronic Engineering - Research Publications
Electrical and Electronic Engineering - Research Publications
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ItemNo Preview AvailableEconomic Model Predictive Control of Water Distribution Systems with Solar Energy and BatteriesZheng, X ; Wang, Y ; Weyer, E ; Manzie, C (IEEE, 2023-01-01)
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ItemNo Preview AvailableAn Optimization-Based Network Partitioning Method Considering Local Controllability: Application to Water Distribution NetworksArastou, A ; Wang, Y ; Weyer, E (IEEE, 2023-01-01)
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ItemNo Preview AvailableCo-design of Control Strategy and Storage Size for a Water Distribution SystemWang, Y ; Weyer, E ; Manzie, C ; Simpson, AR (IEEE, 2022-01-01)The design and operation of water distribution systems (WDSs) are two interrelated tasks that both impact the overall cost of the systems. The traditional approach is to first design the system and then develop a control strategy for the specified infrastructure. However, this is suboptimal in that the controlled system may hit operating constraints arising from inadequate design, or the capital cost may be excessive due to conservative design processes. The challenge of designing both the infrastructure and control strategy simultaneously is amplified by the demand profiles and energy prices being stochastic. In this paper, we investigate stochastic co-design optimization problems for simultaneously optimizing the tank size and parameters of a pumping strategy. We employ Markov chain theory to establish tractable co-design optimization problems. We show several simulation results to demonstrate the efficacy of the proposed approach.
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ItemNo Preview AvailableImproved Pump Setpoint Selection Using a Calibrated Hydraulic Model of a High-Pressure Irrigation SystemWang, Y ; Zhao, Q ; Wu, W ; Willis, A ; Simpson, AR ; Weyer, E (Elsevier, 2022-01-01)This paper presents a case study of the operational management of the Robinvale high-pressure piped irrigation water delivery system (RVHPS) in Australia. Based on datasets available, improved pump setpoint selection using a calibrated hydraulic model is investigated. The first step was to implement pre-processing of measured flow and pressure data to identify errors in the data and possible faulty sensors. An EPANET hydraulic simulation model was updated with calibrated pipe roughness height values by using the processed pressure and flow data. Then, new pump setpoints were selected using the calibrated model given the actual measured demands such that the pressures in the network were minimized subject to required customer service standards. Based on a two-day simulation, it was estimated that 4.7% savings in pumping energy cost as well as 4.7% reduction in greenhouse gas emissions can be achieved by applying the new pump setpoints.
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ItemA virtual laboratory experience based on a double tank apparatusIrawan, R ; Ooi, M ; Yeung, G ; Weyer, E ; Nesic, D ; Mareels, I (IEEE, 2001-01-01)How can a virtual laboratory experience achieve the typical educational outcomes expected from a normal in situ laboratory experience? The paper deals with this question in the context of a double tank apparatus experimental set up. For this laboratory experiment, a World Wide Web interface was developed to assist students in assimilating control engineering concepts at the University of Melbourne.
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ItemNo Preview AvailableGranger causality of Gaussian signals from noisy or filtered measurementsAhmadi, S ; Nair, GN ; Weyer, E (Elsevier BV, 2020-01-01)
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ItemGranger Causality of Gaussian Signals from Quantized MeasurementsAhmadi, S ; Nair, GN ; Weyer, E (IEEE, 2020-03-12)An approach is proposed for inferring Granger causality between jointly stationary, Gaussian signals from quantized data. First, a necessary and sufficient rank criterion for the equality of two conditional Gaussian distributions is proved. Assuming a partial finite-order Markov property, sufficient conditions are then derived under which Granger causality between them can be reliably inferred from the second order moments of the quantized processes. This approach does not require the statistics of the underlying Gaussian signals to be estimated, or a system model to be identified.
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ItemDesign of a centralized controller for an irrigation channel using H loop-shapingLI, Y ; CANTONI, M ; WEYER, E (The Organising Committee, Control 2004, 2004)