This page has only limited features, please log in for full access.
Enrico Maria Carlini was born in the city of Rome. He graduated in Electrical Engineering with first class of honors from the faculty of ‘La Sapienza Roma’ University in 1991. Enrico took over as Director of Dispatching and System Operations as from July 2018. He is accountable for the real-time control of Italian electricity transmission grid and Ancillary Services Market, the systems and processes that support them. From 1999 to 2018 he occupied various management positions within Terna, as a Director of ‘Grid Planning and Interconnection’ between 2016 and 2018, head of the ‘Management and Engineering of the Electric System’ department since 2013 and responsible for the Regional Control Centre of South Italy since 2011. Prior to joining Terna in 1999, Enrico was working in Enel generation division and the petrol-chemical industry.
In this paper an optimization problem designed to calculate electric grid specific indicators to be used within model-based methodologies for the definition of alternative electricity market bidding zone configurations is designed. The approach integrates within the framework of a bidding zone review process aligned to the specifications of the Commission Regulation (EU) 2015/1222 (CACM) and Regulation (EU) 2019/943 of the European Parliament and of the Council (CEP). The calculated solution of the optimization provides locational marginal prices and allows to determine, outside the optimization problem, the power transfer distribution factors for critical elements. Both indicators can be used as inputs by specially designed clustering algorithms to identify model-based electricity market bidding zone configurations, as alternative to the current experience-based configurations. The novelty of the optimization problem studied in this paper consists in integrating the N-1 security criteria for transmission network operation in an explicit manner, rather than in a simplified and inaccurate manner, as encountered in the literature. The optimization problem is evaluated on a set of historical and significant operating scenarios of the Italian transmission network, carefully selected by the Italian transmission system operator. The results show the optimization problem capability to produce insightful results for supporting a bidding zone review process and its advantages with respect to simplified methodologies encountered in the literature.
Cristian Bovo; Valentin Ilea; Enrico Carlini; Mauro Caprabianca; Federico Quaglia; Luca Luzi; Giuseppina Nuzzo. Optimal Computation of Network Indicators for Electricity Market Bidding Zones Configuration Considering Explicit N-1 Security Constraints. Energies 2021, 14, 4267 .
AMA StyleCristian Bovo, Valentin Ilea, Enrico Carlini, Mauro Caprabianca, Federico Quaglia, Luca Luzi, Giuseppina Nuzzo. Optimal Computation of Network Indicators for Electricity Market Bidding Zones Configuration Considering Explicit N-1 Security Constraints. Energies. 2021; 14 (14):4267.
Chicago/Turabian StyleCristian Bovo; Valentin Ilea; Enrico Carlini; Mauro Caprabianca; Federico Quaglia; Luca Luzi; Giuseppina Nuzzo. 2021. "Optimal Computation of Network Indicators for Electricity Market Bidding Zones Configuration Considering Explicit N-1 Security Constraints." Energies 14, no. 14: 4267.
The definition of bidding zones is a relevant question for electricity markets. The bidding zones can be identified starting from information on the nodal prices and network topology, considering the operational conditions that may lead to congestion of the transmission lines. A well-designed bidding zone configuration is a key milestone for an efficient market design and a secure power system operation, being the basis for capacity allocation and congestion management processes, as acknowledged in the relevant European regulation. Alternative bidding zone configurations can be identified in a process assisted by the application of clustering methods, which use a predefined set of features, objectives and constraints to determine the partitioning of the network nodes into groups. These groups are then analysed and validated to become candidate bidding zones. The content of the manuscript can be summarized as follows: (1) A novel probabilistic multi-scenario methodology was adopted. The approach needs the analysis of features that are computed considering a set of scenarios defined from solutions in normal operation and in planned maintenance cases. The weights of the scenarios are indicated by TSOs on the basis of the expected frequency of occurrence; (2) The relevant features considered are the Locational Marginal Prices (LMPs) and the Power Transfer Distribution Factors (PTDFs); (3) An innovative computation procedure based on clustering algorithms was developed to group nodes of the transmission electrical network into bidding zones considering topological constraints. Several settings and clustering algorithms were tested in order to evaluate the robustness of the identified solutions.
Pietro Colella; Andrea Mazza; Ettore Bompard; Gianfranco Chicco; Angela Russo; Enrico Carlini; Mauro Caprabianca; Federico Quaglia; Luca Luzi; Giuseppina Nuzzo. Model-Based Identification of Alternative Bidding Zones: Applications of Clustering Algorithms with Topology Constraints. Energies 2021, 14, 2763 .
AMA StylePietro Colella, Andrea Mazza, Ettore Bompard, Gianfranco Chicco, Angela Russo, Enrico Carlini, Mauro Caprabianca, Federico Quaglia, Luca Luzi, Giuseppina Nuzzo. Model-Based Identification of Alternative Bidding Zones: Applications of Clustering Algorithms with Topology Constraints. Energies. 2021; 14 (10):2763.
Chicago/Turabian StylePietro Colella; Andrea Mazza; Ettore Bompard; Gianfranco Chicco; Angela Russo; Enrico Carlini; Mauro Caprabianca; Federico Quaglia; Luca Luzi; Giuseppina Nuzzo. 2021. "Model-Based Identification of Alternative Bidding Zones: Applications of Clustering Algorithms with Topology Constraints." Energies 14, no. 10: 2763.
The integration of renewable energy sources, including wind power, in the adequacy assessment of electricity generation capacity becomes increasingly important as renewable energy generation increases in volume and replaces conventional power plants. The contribution of wind power to cover the electricity demand is less certain than conventional power sources; therefore, the capacity value of wind power is smaller than that of conventional plants. This article presents an overview of the adequacy challenge, how wind power is handled in the regulation of capacity adequacy, and how wind power is treated in a selection of jurisdictions. The jurisdictions included in the overview are Sweden, Great Britain, France, Ireland, United States (PJM and ERCOT), Finland, Portugal, Spain, Norway, Denmark, Belgium, Germany, Italy and the Netherlands.
Lennart Söder; Egill Tómasson; Ana Estanqueiro; Damian Flynn; Bri-Mathias Hodge; Juha Kiviluoma; Magnus Korpås; Emmanuel Neau; António Couto; Danny Pudjianto; Goran Strbac; Daniel Burke; Tomás Gómez; Kaushik Das; Nicolaos Antonio Cutululis; Dirk Van Hertem; Hanspeter Höschle; Julia Matevosyan; Serafin von Roon; Enrico Maria Carlini; Mauro Caprabianca; Laurens de Vries. Review of wind generation within adequacy calculations and capacity markets for different power systems. Renewable and Sustainable Energy Reviews 2019, 119, 109540 .
AMA StyleLennart Söder, Egill Tómasson, Ana Estanqueiro, Damian Flynn, Bri-Mathias Hodge, Juha Kiviluoma, Magnus Korpås, Emmanuel Neau, António Couto, Danny Pudjianto, Goran Strbac, Daniel Burke, Tomás Gómez, Kaushik Das, Nicolaos Antonio Cutululis, Dirk Van Hertem, Hanspeter Höschle, Julia Matevosyan, Serafin von Roon, Enrico Maria Carlini, Mauro Caprabianca, Laurens de Vries. Review of wind generation within adequacy calculations and capacity markets for different power systems. Renewable and Sustainable Energy Reviews. 2019; 119 ():109540.
Chicago/Turabian StyleLennart Söder; Egill Tómasson; Ana Estanqueiro; Damian Flynn; Bri-Mathias Hodge; Juha Kiviluoma; Magnus Korpås; Emmanuel Neau; António Couto; Danny Pudjianto; Goran Strbac; Daniel Burke; Tomás Gómez; Kaushik Das; Nicolaos Antonio Cutululis; Dirk Van Hertem; Hanspeter Höschle; Julia Matevosyan; Serafin von Roon; Enrico Maria Carlini; Mauro Caprabianca; Laurens de Vries. 2019. "Review of wind generation within adequacy calculations and capacity markets for different power systems." Renewable and Sustainable Energy Reviews 119, no. : 109540.
The production of electricity from wind and other renewable sources is rapidly increasing all over the world, causing significant changes in the management of electrical systems. The current structural asset is not adequate to manage this growing generation of energy. The hypothesis of construction of new power lines would mean taking into consideration economic, political and social problems. The following paper reports the experience gained by the Italian TSO, Terna S.p.A, on the use of the DTR (Dynamic Thermal Rating), which is able to dynamically calculate the real transport capacity of an overhead power line. The results obtained are encouraging as they show how it is possible to increase, in safety, the energy flows on the lines compared to the static limit evaluations. There are many advantages for electric systems: optimizing energy vectors, reducing congestions, increasing reliability, developing smart grids. In this document, after a brief illustration of the architecture of the DTR system, the authors report the results of two successful applications in the Italian HV electrical system for RES integration: a wind case and a hydroelectric one.
Fabio Massaro; Mariano Giuseppe Ippolito; Enrico Maria Carlini; Fabio Bassi. Maximizing energy transfer and RES integration using dynamic thermal rating. Electric Power Systems Research 2019, 174, 105864 .
AMA StyleFabio Massaro, Mariano Giuseppe Ippolito, Enrico Maria Carlini, Fabio Bassi. Maximizing energy transfer and RES integration using dynamic thermal rating. Electric Power Systems Research. 2019; 174 ():105864.
Chicago/Turabian StyleFabio Massaro; Mariano Giuseppe Ippolito; Enrico Maria Carlini; Fabio Bassi. 2019. "Maximizing energy transfer and RES integration using dynamic thermal rating." Electric Power Systems Research 174, no. : 105864.
In the past, much of Europe’s electricity grid network has been designed in consideration of the locations of conventional generation plants. However, a large share of today's renewables production – notably variable wind and solar – does not correspond to this grid architecture. Interconnectors, in addition to internal infrastructure, are key to creating new electricity corridors to connect areas of surplus to areas of scarcity. In this context, in 2014 the European Council, in recognizing that a fundamental role of transmission infrastructure is to enable the integration of areas of high renewable energy potential with main consumption areas, endorsed the proposal by the European Commission to extend the current 10% electricity interconnection target to 15%. In this way, more available interconnection capacity would enable the grid to accommodate such increasing levels of variable renewable generation in a secure and cost-effective way. The previously described changes in interconnected system operating conditions, resulting in potential occurrences of unforeseen serious disturbances – most notably the well-known system split observed in the continental synchronous area on 04 November 2006 – have led to create the first Regional Security Coordination Initiatives (RSCIs now RSCs) and establishment of Coreso and TSC back in 2008. These entities have allowed TSOs to further coordinate not only system operations but also network planning, system adequacy analysis, market setups, etc. However, given the challenges faced by the electricity industry in Europe, one may wonder whether the pace of developments in regulation and market design, system operations and system planning can keep up with the pace of change in the electricity system. In response to this concern, the present paper focuses on a central question: how the electricity system that is today primarily organized in a centralized, top-down manner will be reshuffled in the future? The structure of the paper is as follow. The authors begin by describing the changes that are occurring in the power system and market sector, together with their drivers and underpinning regulation. Then the paper presents the challenges in the Eu-wide planning process, starting from TYNDP and PCI and then proceeding also to technical aspects of cost-benefit analysis and interconnection targets.
Enrico Maria Carlini; Robert Schroeder; Jens Møller Birkebæk; Fabio Massaro. EU transition in power sector. Electric Power Systems Research 2019, 169, 74 -91.
AMA StyleEnrico Maria Carlini, Robert Schroeder, Jens Møller Birkebæk, Fabio Massaro. EU transition in power sector. Electric Power Systems Research. 2019; 169 ():74-91.
Chicago/Turabian StyleEnrico Maria Carlini; Robert Schroeder; Jens Møller Birkebæk; Fabio Massaro. 2019. "EU transition in power sector." Electric Power Systems Research 169, no. : 74-91.
Indirect methods for dynamic loadability analysis have been recognized as enabling methodologies for improving the overhead line exploitation, since they do not require the need of a direct measurement of the conductor temperature, implying simple and inexpensive installation, and maintenance procedures. Despite these benefits, indirect methods suffer for several limitations, which mainly derive from the strong uncertainties affecting the loadability estimation process. To overcome these limitations, a novel self-validated computing framework for indirect loadability analysis of overhead line is proposed in this article. Experimental results obtained on a real 150 kV overhead line are presented and discussed in order to assess the effectiveness of the proposed methodology.
E.M. Carlini; C. Pisani; A. Vaccaro; D. Villacci. A reliable computing framework for dynamic line rating of overhead lines. Electric Power Systems Research 2016, 132, 1 -8.
AMA StyleE.M. Carlini, C. Pisani, A. Vaccaro, D. Villacci. A reliable computing framework for dynamic line rating of overhead lines. Electric Power Systems Research. 2016; 132 ():1-8.
Chicago/Turabian StyleE.M. Carlini; C. Pisani; A. Vaccaro; D. Villacci. 2016. "A reliable computing framework for dynamic line rating of overhead lines." Electric Power Systems Research 132, no. : 1-8.