ORCID Profile
0000-0002-9247-1402
Current Organisations
University of Manchester
,
University of Melbourne
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Publisher: IEEE
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 11-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Elsevier BV
Date: 10-2009
Publisher: IEEE
Date: 10-2016
Publisher: Elsevier BV
Date: 04-2016
Publisher: IEEE
Date: 05-2013
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 10-2019
Publisher: IEEE
Date: 06-2016
Publisher: Elsevier BV
Date: 03-2020
Publisher: IEEE
Date: 04-2016
Publisher: IEEE
Date: 06-2009
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 11-2019
Publisher: IEEE
Date: 11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: IEEE
Date: 08-2014
Publisher: Wiley
Date: 05-04-2021
DOI: 10.1002/WENE.399
Abstract: Increasing power system stability challenges are being witnessed worldwide, while transitioning toward low‐carbon grids with a high‐share of power electronic converter (PEC)‐interfaced renewable energy sources (RESs) and distributed energy resources (DERs). Concurrently, new technologies and operational strategies are being implemented or proposed to tackle these challenges. Since electricity grids are deregulated in many jurisdictions, such technologies need to be integrated within a market framework, which is often a challenge in itself due to inevitable regulatory delays in updating grid codes and market rules. It is also highly desirable to ensure that an economically feasible optimal technology mix is integrated in the power system, without imposing additional burdens on electricity consumers. This article provides a comprehensive overview of emerging power system stability challenges posed by PEC‐interfaced RES and DER, particularly related to low inertia and low system strength conditions, while also introducing new technologies that can help tackle these challenges and discussing the need for suitable techno‐economic considerations to integrate them into system and market operation. As a key point, the importance of recognizing the complexity of system services to guarantee stability in low‐carbon grids is emphasized, along with the need to carefully integrate new grid codes and market mechanisms in order to exploit the full benefits of emerging technologies in the transition toward ultra‐low carbon futures. This article is categorized under: Energy Systems Economics Economics and Policy Energy Systems Analysis Systems and Infrastructure Energy and Development Systems and Infrastructure
Publisher: IEEE
Date: 08-2014
Publisher: IEEE
Date: 06-2017
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Publisher: Elsevier BV
Date: 08-2009
Publisher: Elsevier BV
Date: 2015
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 07-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Publisher: IEEE
Date: 07-2007
Publisher: IEEE
Date: 07-2012
Publisher: Elsevier BV
Date: 10-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: IEEE
Date: 06-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 07-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 11-2019
Publisher: Elsevier
Date: 2017
Publisher: IEEE
Date: 04-2007
Publisher: IEEE
Date: 04-2007
Publisher: IEEE
Date: 06-2016
Publisher: Elsevier BV
Date: 2019
Publisher: Institution of Engineering and Technology (IET)
Date: 2011
Publisher: Institution of Engineering and Technology (IET)
Date: 2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2016
Publisher: IEEE
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: IEEE
Date: 11-2018
Publisher: IEEE
Date: 06-2015
Publisher: Elsevier BV
Date: 08-2008
Publisher: Wiley
Date: 03-2011
DOI: 10.1002/ETEP.458
Publisher: Elsevier BV
Date: 03-2008
Publisher: Elsevier BV
Date: 09-2016
Publisher: IEEE
Date: 04-2016
Publisher: Elsevier BV
Date: 04-2016
Publisher: Elsevier BV
Date: 03-2008
Publisher: IEEE
Date: 07-2017
Publisher: IEEE
Date: 06-2019
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 03-2017
Publisher: The Royal Society
Date: 10-07-2017
Abstract: Electricity grid operators and planners need to deal with both the rapidly increasing integration of renewables and an unprecedented level of uncertainty that originates from unknown generation outputs, changing commercial and regulatory frameworks aimed to foster low-carbon technologies, the evolving availability of market information on feasibility and costs of various technologies, etc. In this context, there is a significant risk of locking-in to inefficient investment planning solutions determined by current deterministic engineering practices that neither capture uncertainty nor represent the actual operation of the planned infrastructure under high penetration of renewables. We therefore present an alternative optimization framework to plan electricity grids that deals with uncertain scenarios and represents increased operational details. The presented framework is able to model the effects of an array of flexible, smart grid technologies that can efficiently displace the need for conventional solutions. We then argue, and demonstrate via the proposed framework and an illustrative ex le, that proper modelling of uncertainty and operational constraints in planning is key to valuing operationally flexible solutions leading to optimal investment in a smart grid context. Finally, we review the most used practices in power system planning under uncertainty, highlight the challenges of incorporating operational aspects and advocate the need for new and computationally effective optimization tools to properly value the benefits of flexible, smart grid solutions in planning. Such tools are essential to accelerate the development of a low-carbon energy system and investment in the most appropriate portfolio of renewable energy sources and complementary enabling smart technologies. This article is part of the themed issue ‘Energy management: flexibility, risk and optimization’.
Publisher: Elsevier BV
Date: 02-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Publisher: Elsevier BV
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
Publisher: IEEE
Date: 11-2018
Publisher: IEEE
Date: 12-2019
Publisher: IEEE
Date: 09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Elsevier BV
Date: 04-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Publisher: IEEE
Date: 06-2011
Publisher: IEEE
Date: 06-2011
Publisher: IEEE
Date: 08-2014
Publisher: Elsevier BV
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2013
Publisher: Elsevier BV
Date: 07-2016
Publisher: Elsevier BV
Date: 02-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Publisher: Elsevier BV
Date: 02-2020
Publisher: IEEE
Date: 08-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Elsevier BV
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: IEEE
Date: 09-2017
Publisher: Elsevier BV
Date: 12-2007
Publisher: IEEE
Date: 06-2017
Publisher: The Royal Society
Date: 10-07-2017
Publisher: IEEE
Date: 06-2017
Publisher: Elsevier BV
Date: 2020
Publisher: Institution of Engineering and Technology
Date: 2017
DOI: 10.1049/CP.2017.0342
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 06-2017
Publisher: IEEE
Date: 06-2017
Publisher: Wiley
Date: 23-10-2018
DOI: 10.1111/RISA.13220
Abstract: The increased frequency of extreme events in recent years highlights the emerging need for the development of methods that could contribute to the mitigation of the impact of such events on critical infrastructures, as well as boost their resilience against them. This article proposes an online spatial risk analysis capable of providing an indication of the evolving risk of power systems regions subject to extreme events. A Severity Risk Index (SRI) with the support of real-time monitoring assesses the impact of the extreme events on the power system resilience, with application to the effect of windstorms on transmission networks. The index considers the spatial and temporal evolution of the extreme event, system operating conditions, and the degraded system performance during the event. SRI is based on probabilistic risk by condensing the probability and impact of possible failure scenarios while the event is spatially moving across a power system. Due to the large number of possible failures during an extreme event, a scenario generation and reduction algorithm is applied in order to reduce the computation time. SRI provides the operator with a probabilistic assessment that could lead to effective resilience-based decisions for risk mitigation. The IEEE 24-bus Reliability Test System has been used to demonstrate the effectiveness of the proposed online risk analysis, which was embedded in a sequential Monte Carlo simulation for capturing the spatiotemporal effects of extreme events and evaluating the effectiveness of the proposed method.
Publisher: IEEE
Date: 08-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 05-2013
Publisher: Elsevier BV
Date: 04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Publisher: MDPI AG
Date: 13-07-2017
DOI: 10.3390/EN10070989
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: IEEE
Date: 06-2017
Publisher: IEEE
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Elsevier BV
Date: 06-2017
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 09-2016
Publisher: Institution of Engineering and Technology
Date: 2013
DOI: 10.1049/CP.2013.1229
Publisher: IET
Date: 2009
DOI: 10.1049/CP.2009.1062
Publisher: IEEE
Date: 07-2007
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: Elsevier BV
Date: 12-2020
Publisher: Institution of Engineering and Technology
Date: 2014
DOI: 10.1049/CP.2014.1639
Publisher: Elsevier BV
Date: 07-2011
Publisher: IEEE
Date: 10-2016
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 09-2012
Publisher: IEEE
Date: 06-2017
Publisher: Elsevier BV
Date: 08-2014
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 09-2015
Publisher: Elsevier BV
Date: 2015
Publisher: Elsevier BV
Date: 11-2018
Publisher: IET
Date: 2009
DOI: 10.1049/CP.2009.1071
Publisher: IEEE
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
Publisher: Elsevier BV
Date: 02-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: IEEE
Date: 07-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Elsevier BV
Date: 07-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2016
Publisher: Elsevier BV
Date: 11-2020
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 04-2016
Publisher: IEEE
Date: 09-2020
Publisher: Elsevier BV
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 2018
Publisher: IEEE
Date: 11-2016
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 05-2015
Publisher: Wiley
Date: 03-2011
DOI: 10.1002/ETEP.472
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: IEEE
Date: 06-2018
Publisher: Elsevier BV
Date: 04-2009
Publisher: IEEE
Date: 06-2017
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 12-2018
Publisher: Elsevier
Date: 2017
Publisher: IEEE
Date: 09-2016
Publisher: Elsevier BV
Date: 04-2011
Publisher: Institution of Engineering and Technology (IET)
Date: 06-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: IEEE
Date: 10-2014
Publisher: Elsevier BV
Date: 10-2016
Publisher: IEEE
Date: 09-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: Elsevier BV
Date: 03-2009
Publisher: IEEE
Date: 06-2018
Publisher: CRC Press
Date: 19-12-2017
DOI: 10.1201/B11649-10
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: IEEE
Date: 11-2018
Publisher: Elsevier BV
Date: 03-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: IEEE
Date: 12-2019
Publisher: Elsevier BV
Date: 10-2008
Publisher: Elsevier BV
Date: 12-2020
Publisher: Elsevier BV
Date: 04-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: IEEE
Date: 08-2019
Publisher: IEEE
Date: 07-2012
Publisher: Routledge
Date: 05-03-2013
Publisher: IEEE
Date: 07-2007
Publisher: IEEE
Date: 06-2015
Publisher: Elsevier
Date: 2018
Publisher: Institution of Engineering and Technology (IET)
Date: 02-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: Elsevier BV
Date: 10-2018
Publisher: Institution of Engineering and Technology
Date: 2016
DOI: 10.1049/CP.2016.0664
Publisher: Institution of Engineering and Technology (IET)
Date: 07-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Pierluigi Mancarella.