Pierluigi Mancarella
University of Melbourne
325 Papers
1.6K Citations
Pierluigi Mancarella is an academic researcher from University of Melbourne. The author has contributed to research in topics: Demand response & Distributed generation. The author has an hindex of 51, co-authored 303 publications. Previous affiliations of Pierluigi Mancarella include University of Manchester & Polytechnic University of Turin.
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Papers
Fast Frequency Response From Utility-Scale Hydrogen Electrolyzers
TL;DR: In this article, the authors introduce the modelling foundations to study the fast frequency response (FFR) from utility-scale hydrogen electrolyzers (HEs) and propose a dynamic model of the HE electrolysis stack, power-electronics interface, and downstream hydrogen process operational constraints, which is suitable for system-level frequency dynamics studies.
91
From Reliability to Resilience: Planning the Grid Against the Extremes
Rodrigo Moreno,Mathaios Panteli,Pierluigi Mancarella,Hugh Rudnick,Tomas Lagos,A. Navarro,Fernando Ordóñez,J.C. Araneda +7 more
TL;DR: Although extreme events, mainly natural disasters and climate change-driven severe weather, are the result of naturally occurring processes, power system planners, regulators, and policy makers do not usually recognize them within network reliability standards.
91
Integrated Electricity– Heat–Gas Systems: Techno–Economic Modeling, Optimization, and Application to Multienergy Districts
Eduardo Alejandro Martinez Cesena,Emmanouil Loukarakis,Nicholas Good,Pierluigi Mancarella +3 more
- 13 Apr 2020
TL;DR: Relevant mixed integer linear programming (MILP) formulations for two-stage stochastic scheduling of buildings and DER, iteratively soft-coupled to nonlinear network models are presented as the basis of a practical network-constrained MED energy management tool developed in several projects.
Framework for capacity credit assessment of electrical energy storage and demand response
TL;DR: A comprehensive framework and relevant numerical algorithms are proposed for the evaluation of EES/DR CC, with different ‘traditional’ generation-oriented CC metrics being extended and a new CC metric defined to formally quantify the capability of Ees/DR to displace conventional generation for different applications.
Identifying Optimal Portfolios of Resilient Network Investments Against Natural Hazards, With Applications to Earthquakes
Tomas Lagos,Rodrigo Moreno,Alejandro Navarro Espinosa,Mathaios Panteli,Rafael Sacaan,Fernando Ordóñez,Hugh Rudnick,Pierluigi Mancarella +7 more
TL;DR: This work proposes a practical framework that can be used to identify network investments that offer the highest level of hedge against risks caused by natural hazards and uses a simulation to evaluate the resilience level improvements associated with the network investment propositions.