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Pierluigi Mancarella
Researcher at University of Melbourne
Publications - 322
Citations - 14581
Pierluigi Mancarella is an academic researcher from University of Melbourne. The author has contributed to research in topics: Demand response & Electric power system. The author has an hindex of 51, co-authored 303 publications receiving 10667 citations. Previous affiliations of Pierluigi Mancarella include University of Manchester & Polytechnic University of Turin.
Papers
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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.
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A Graph-Based Loss Allocation Framework for Transactive Energy Markets in Unbalanced Radial Distribution Networks
TL;DR: A graph-based loss allocation framework that harmonizes the physical attributes of the distribution grid with the underlying financial transactions in distributed market settings is presented, achieved via representing distribution networks as multilayered radial graphs.
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Cogeneration planning under uncertainty. Part II: Decision theory-based assessment of planning alternatives
TL;DR: In this paper, specific models and analyses are discussed to select the best cogeneration planning solution in the presence of uncertainties on a long-term time scale, completing the approach formulated in the companion paper (Part I).
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Building-to-grid flexibility: Modelling and assessment metrics for residential demand response from heat pump aggregations
TL;DR: In this article, several metrics, relevant to different stakeholders, are introduced to quantify building-to-grid demand response flexibility from heat pump aggregations, and specific control algorithms for the aggregations are also proposed and tested through a multi-energy residential energy consumption tool.
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Electrical network capacity support from demand side response: Techno-economic assessment of potential business cases for small commercial and residential end-users
TL;DR: In this article, the authors present comprehensive techno-economic methodologies for the quantification of three capacity-based business cases for DSR from small commercial and residential end-users.