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Valentin Ilea
Dipartimento di Energia, ENSIEL-Politecnico di Milano, 20156 Milano, Italy

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Journal article
Published: 14 July 2021 in Energies
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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.

ACS Style

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 Style

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 (14):4267.

Chicago/Turabian Style

Cristian 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.

Journal article
Published: 10 September 2020 in Energies
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Nowadays, the payment scheme of European Day-Ahead Market is based on the market clearing price by running the Pan-European Hybrid Electricity Market Integration Algorithm. However, this conventional payment scheme is challenging because of the non-convexity and the short computation time requirement. Thus, the aim of this work is to propose a new clearing model in order to mitigate this challenge. The model is based on make-whole payment mechanism and it includes two major steps: (i) maximizing social welfare and (ii) achieving a Walrasian equilibrium by the “minimum-uplift approach”. The proposed model is validated and investigated by two case studies: one is an artificially created Day-Ahead Market session containing all type of bids encountered in Europe and containing a very large number of bids to stress the algorithm and the other is a reduced, but realistic, model of European market where real data from February to December of 2017 were considered. The tests show a consistent improvement of the numerical performances of the proposed model with respect to the conventional one while the economic performance is not altered, but is slightly improved. Moreover, because the tests are based on real data during a long period of time, the results show that proposed model is very promising for the real application.

ACS Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. New Clearing Model to Mitigate the Non-Convexity in European Day-ahead Electricity Market. Energies 2020, 13, 4716 .

AMA Style

Le Hong Lam, Valentin Ilea, Cristian Bovo. New Clearing Model to Mitigate the Non-Convexity in European Day-ahead Electricity Market. Energies. 2020; 13 (18):4716.

Chicago/Turabian Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. 2020. "New Clearing Model to Mitigate the Non-Convexity in European Day-ahead Electricity Market." Energies 13, no. 18: 4716.

Journal article
Published: 26 June 2020 in Energies
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Renewable Energy Sources are becoming widely spread, as they are sustainable and low-carbon emission. They are mostly penetrating the MV Distribution Networks as Distributed Generators, which has determined the evolution of the networks’ control and supervision systems, from almost a complete lack to becoming fully centralized. This paper proposes innovative voltage control architectures for the distribution networks, tailored for different development levels of the control and supervision systems encountered in real life: a Coordinated Control for networks with basic development, and an optimization-based Centralized Control for networks with fully articulated systems. The Centralized Control fits the requirements of the network: the challenging harmonization of the generator’s capability curves with the regulatory framework, and modelling of the discrete control of the On-Load Tap Changer transformer. A realistic network is used for tests and comparisons with the Local Strategy currently specified by regulations. The proposed Coordinated Control gives much better results with respect to the Local Strategy, in terms of loss minimization and voltage violations mitigation, and can be used for networks with poorly developed supervision and control systems, while Centralized Control proves the best solution, but can be applied only in fully supervised and controlled networks.

ACS Style

Valentin Ilea; Cristian Bovo; Davide Falabretti; Marco Merlo; Carlo Arrigoni; Roberto Bonera; Marco Rodolfi. Voltage Control Methodologies in Active Distribution Networks. Energies 2020, 13, 3293 .

AMA Style

Valentin Ilea, Cristian Bovo, Davide Falabretti, Marco Merlo, Carlo Arrigoni, Roberto Bonera, Marco Rodolfi. Voltage Control Methodologies in Active Distribution Networks. Energies. 2020; 13 (12):3293.

Chicago/Turabian Style

Valentin Ilea; Cristian Bovo; Davide Falabretti; Marco Merlo; Carlo Arrigoni; Roberto Bonera; Marco Rodolfi. 2020. "Voltage Control Methodologies in Active Distribution Networks." Energies 13, no. 12: 3293.

Conference paper
Published: 01 June 2020 in 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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In this paper, the implementation of an innovative synthetic inertia control mechanism for a wind generator is presented. Basically, it emulates the inertial response provided by traditional generators during frequency events, exploiting the energy content of the DC link, suitably sized. Such mechanism can be applied to whatever type of plant connected to the grid through a fully rated converter, provided that a sufficient energy buffer is available. This strategy can enhance the grid stability after under-frequency events, especially in low-inertia networks. The proposed control strategy has been first studied in a simplified network and then, to corroborate its effectiveness, tested on a portion of the Italian Transmission Network (Sicily).

ACS Style

A. Berizzi; A. Bolzoni; Alessandro Bosisio; Valentin Ilea; D. Marchesini; R. Perini; A. Vicario. Synthetic Inertia from Wind Turbines for Large System Stability. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2020, 1 -6.

AMA Style

A. Berizzi, A. Bolzoni, Alessandro Bosisio, Valentin Ilea, D. Marchesini, R. Perini, A. Vicario. Synthetic Inertia from Wind Turbines for Large System Stability. 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2020; ():1-6.

Chicago/Turabian Style

A. Berizzi; A. Bolzoni; Alessandro Bosisio; Valentin Ilea; D. Marchesini; R. Perini; A. Vicario. 2020. "Synthetic Inertia from Wind Turbines for Large System Stability." 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.

Conference paper
Published: 01 September 2019 in 2019 54th International Universities Power Engineering Conference (UPEC)
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Several Agent-Based Modelling platforms specific for the energy market simulations have been implemented in recent years. However, the methodology to manage the individual plants under the same generation company is not well investigated. This represents a very critical aspect for oligopolistic markets. The aim of this work is to develop an Agent-Based Modelling platform that recreates the coordinated management of different plants of the same generation company with focus on the prevalence of the hydropower plants in the generation park. The model will be used to analyses the Colombian Day-Ahead Electricity market.

ACS Style

Gianluca Rimini; Valentin Ilea; Cristian Bovo. Generation Companies Agent-Based Modelling: Application to the Colombian Day-Ahead Market. 2019 54th International Universities Power Engineering Conference (UPEC) 2019, 1 -6.

AMA Style

Gianluca Rimini, Valentin Ilea, Cristian Bovo. Generation Companies Agent-Based Modelling: Application to the Colombian Day-Ahead Market. 2019 54th International Universities Power Engineering Conference (UPEC). 2019; ():1-6.

Chicago/Turabian Style

Gianluca Rimini; Valentin Ilea; Cristian Bovo. 2019. "Generation Companies Agent-Based Modelling: Application to the Colombian Day-Ahead Market." 2019 54th International Universities Power Engineering Conference (UPEC) , no. : 1-6.

Conference paper
Published: 01 September 2019 in 2019 AEIT International Annual Conference (AEIT)
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ACS Style

Luigi Michi; Valentin Ilea; Mauro Caprabianca; Giuseppina Nuzzo; Pietro Colella; Angela Russo; Federico Quaglia; Ettore Bompard; Andrea Griffone; Cristian Bovo; Enrico Maria Carlini; Luca Luzi; Gianfranco Chicco; Andrea Mazza. Optimal Bidding Zone Configuration: Investigation on Model-based Algorithms and their Application to the Italian Power System. 2019 AEIT International Annual Conference (AEIT) 2019, 1 .

AMA Style

Luigi Michi, Valentin Ilea, Mauro Caprabianca, Giuseppina Nuzzo, Pietro Colella, Angela Russo, Federico Quaglia, Ettore Bompard, Andrea Griffone, Cristian Bovo, Enrico Maria Carlini, Luca Luzi, Gianfranco Chicco, Andrea Mazza. Optimal Bidding Zone Configuration: Investigation on Model-based Algorithms and their Application to the Italian Power System. 2019 AEIT International Annual Conference (AEIT). 2019; ():1.

Chicago/Turabian Style

Luigi Michi; Valentin Ilea; Mauro Caprabianca; Giuseppina Nuzzo; Pietro Colella; Angela Russo; Federico Quaglia; Ettore Bompard; Andrea Griffone; Cristian Bovo; Enrico Maria Carlini; Luca Luzi; Gianfranco Chicco; Andrea Mazza. 2019. "Optimal Bidding Zone Configuration: Investigation on Model-based Algorithms and their Application to the Italian Power System." 2019 AEIT International Annual Conference (AEIT) , no. : 1.

Proceedings article
Published: 01 June 2019 in 2019 IEEE Milan PowerTech
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This paper proposes a methodology to estimate equivalent inertia in large power systems based on measurements provided by Phasor Measurement Units (PMUs). Considering the availability of PMUs spread on the system, the Ward equivalent method is proposed to reduce the system around the measurement points, and dynamic equivalents are built around the selected buses. Simulations are performed with a 65-bus, 16 generators test-system to provide synthetic data for the application of the proposed method, and results considering two study cases are presented to illustrate and validate the approach.

ACS Style

Guido Rossetto Moraes; Fabio Pozzi; Valentin Ilea; Alberto Berizzi; Enrico Maria Carlini; Giorgio Giannuzzi; Roberto Zaottini. Measurement-Based Inertia Estimation Method Considering System Reduction Strategies and Dynamic Equivalents. 2019 IEEE Milan PowerTech 2019, 1 -6.

AMA Style

Guido Rossetto Moraes, Fabio Pozzi, Valentin Ilea, Alberto Berizzi, Enrico Maria Carlini, Giorgio Giannuzzi, Roberto Zaottini. Measurement-Based Inertia Estimation Method Considering System Reduction Strategies and Dynamic Equivalents. 2019 IEEE Milan PowerTech. 2019; ():1-6.

Chicago/Turabian Style

Guido Rossetto Moraes; Fabio Pozzi; Valentin Ilea; Alberto Berizzi; Enrico Maria Carlini; Giorgio Giannuzzi; Roberto Zaottini. 2019. "Measurement-Based Inertia Estimation Method Considering System Reduction Strategies and Dynamic Equivalents." 2019 IEEE Milan PowerTech , no. : 1-6.

Journal article
Published: 08 February 2019 in Energies
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The high penetration of Renewable Energy Sources into electric networks shows new perspectives for the network’s management: among others, exploiting them as resources for network’s security in emergency situations. The paper focuses on the frequency stability of a portion of the grid when it remains islanded following a major fault. It proposes an optimization algorithm that considers the frequency reaction of the relevant components and minimizes the total costs of their shedding. The algorithm predicts the final frequency of the island and the active power profiles of the remaining generators and demands. It is formulated as a Mixed-Integer Non-Linear Programming problem and the high computation time due to a large-size problem is mitigated through a simplified linear version of the model that filters the integer variables. The algorithm is designed to operate on-line and preventively compute the optimal shedding actions to be engaged when islanding occurs. The algorithm is validated for a typical distribution grid: the minimum amount of shedding actions is obtained while the most frequency reactive resources are maintained in operation to assure a feasible frequency. Finally, time-domain simulations show that the optimal solution corresponds to the one at the end of the network’s transients following the islanding.

ACS Style

Seyed Arash Alavi; Valentin Ilea; Alireza Saffarian; Cristian Bovo; Alberto Berizzi; Seyyed Ghodratollah Seifossadat. Feasible Islanding Operation of Electric Networks with Large Penetration of Renewable Energy Sources considering Security Constraints. Energies 2019, 12, 537 .

AMA Style

Seyed Arash Alavi, Valentin Ilea, Alireza Saffarian, Cristian Bovo, Alberto Berizzi, Seyyed Ghodratollah Seifossadat. Feasible Islanding Operation of Electric Networks with Large Penetration of Renewable Energy Sources considering Security Constraints. Energies. 2019; 12 (3):537.

Chicago/Turabian Style

Seyed Arash Alavi; Valentin Ilea; Alireza Saffarian; Cristian Bovo; Alberto Berizzi; Seyyed Ghodratollah Seifossadat. 2019. "Feasible Islanding Operation of Electric Networks with Large Penetration of Renewable Energy Sources considering Security Constraints." Energies 12, no. 3: 537.

Journal article
Published: 19 January 2019 in Applied Energy
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Currently, the coupling of the European Electricity Markets has been fully achieved for the Day-Ahead Market. In the same time, a joint integrated Intra-Day Market based on the Continuous Trading mechanism is under implementation and it involves countries from West of Europe. However, some countries (e.g. Italy and Iberian countries) use the Discrete Auction mechanism and their integration implies the harmonization of the two trading mechanisms. A Hybrid Mechanism that represents the coordination of Continuous Trading and Discrete Auction has been discussed with two concrete proposals being made by Italy and Iberian countries. Thus, the aim of this paper is to propose an advanced algorithm which can simulate the clearing of the integrated European Intra-Day Market with any levels of coordination between Discrete Auction and Continuous Trading. The proposed model is formulated as a Mixed Integer Linear Problem and incorporates all market rules of both mechanisms. The algorithm is flexible enough to adapt to future changes. In addition, a case study that considers the current and near future market participants and covers an entire day of an Intra-Day Market is run by an iterative process to investigate the impact of the hybrid Intra-Day Market model on the Iberian countries and Italy according to their proposals. Moreover, the test cases represent realistic data in terms of number of variables and constraints, and in terms of complexity of the bids. The results of the paper show that, on one hand, the proposed market clearing model can be applied for different levels of Continuous Trading and Discrete Auction coordination and, on the other hand, the integration into the single European Intra-Day Market of Italy and Iberian countries can be beneficial for them. Therefore, the general conclusion is that the proposed market clearing model can be successfully used by the Power Exchanges currently integrated to solve the market or by the Power Exchanges not yet integrated to evaluate the impact of their future integration. On the other hand, the model can easily cope with any further changes in the market rules and represents a tool for future research, e.g. analysis of market participants behavior in future scenarios or evaluation of various financial instruments to manage the congestion of intra-border interconnectors.

ACS Style

Hong Lam Le; Valentin Ilea; Cristian Bovo. Integrated European intra-day electricity market: Rules, modeling and analysis. Applied Energy 2019, 238, 258 -273.

AMA Style

Hong Lam Le, Valentin Ilea, Cristian Bovo. Integrated European intra-day electricity market: Rules, modeling and analysis. Applied Energy. 2019; 238 ():258-273.

Chicago/Turabian Style

Hong Lam Le; Valentin Ilea; Cristian Bovo. 2019. "Integrated European intra-day electricity market: Rules, modeling and analysis." Applied Energy 238, no. : 258-273.

Conference paper
Published: 01 June 2018 in 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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This paper investigates the problem of inertia estimation of power system equivalent areas by a PMU-based approach. Assuming measurements available on the borders of the area, a reduced model is built based on the data acquired during a perturbation. An iterative method is proposed to calculate the parameters of an equivalent generator, and in particular its inertia. The dynamic behavior of the equivalents are compared with the behavior of the Center of Inertia (COI) of each area, and the equivalent inertia is estimated using a Least Squares approach. Results obtained for a 11-bus, 4 generators test-system are presented and discussed.

ACS Style

G. R. Moraes; A. Berizzi; Valentin Ilea; G. D'antona. Inertia Estimation of Equivalent Areas by a PMU-Based Approach Following Perturbations. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018, 1 -6.

AMA Style

G. R. Moraes, A. Berizzi, Valentin Ilea, G. D'antona. Inertia Estimation of Equivalent Areas by a PMU-Based Approach Following Perturbations. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2018; ():1-6.

Chicago/Turabian Style

G. R. Moraes; A. Berizzi; Valentin Ilea; G. D'antona. 2018. "Inertia Estimation of Equivalent Areas by a PMU-Based Approach Following Perturbations." 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.

Conference paper
Published: 01 June 2018 in 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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The paper addresses the problem of measurement equipment optimal placement in distribution networks (DNs). A methodology to improve the observability of the DN by installing measurement equipment in key points of the network is proposed. For this, Genetic Algorithms are used in two forms of coding: integer and binary. Moreover, different approaches regarding the evolution process are exploited. The paper presents the models and compares the results to find the best one. The performance of the algorithms is evaluated on realistic MV distribution networks.

ACS Style

Cristian Bovo; Valentin Ilea; Milos Subasic. Optimization of Measurement Equipment Placement in Distribution Networks by Genetic Algorithms. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2018, 1 -6.

AMA Style

Cristian Bovo, Valentin Ilea, Milos Subasic. Optimization of Measurement Equipment Placement in Distribution Networks by Genetic Algorithms. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). 2018; ():1-6.

Chicago/Turabian Style

Cristian Bovo; Valentin Ilea; Milos Subasic. 2018. "Optimization of Measurement Equipment Placement in Distribution Networks by Genetic Algorithms." 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) , no. : 1-6.

Conference paper
Published: 01 June 2018 in 2018 15th International Conference on the European Energy Market (EEM)
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Today, the coupling of Day-Ahead Market in Europe is extensively studied. One of the challenges of the market clearing model is the National Uniform Price used in Italy and known as PUN (“Prezzo Unico Nazionale”) as it introduces nonconvexity in the model resulting in high computation time. In literature, various proposals are made to efficiently find the PUN; among them, the most promising are the iterative procedure and complementarity theory. The goal of the paper is to re-formulate these approaches and compare them to identify their advantages and disadvantages. Tests are made on the real data obtained from the official websites for 10 th -15 th of March, 2016.

ACS Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. A Thorough Comparison Among Various Mathematical Approaches to Compute PUN in Italy. 2018 15th International Conference on the European Energy Market (EEM) 2018, 1 -5.

AMA Style

Le Hong Lam, Valentin Ilea, Cristian Bovo. A Thorough Comparison Among Various Mathematical Approaches to Compute PUN in Italy. 2018 15th International Conference on the European Energy Market (EEM). 2018; ():1-5.

Chicago/Turabian Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. 2018. "A Thorough Comparison Among Various Mathematical Approaches to Compute PUN in Italy." 2018 15th International Conference on the European Energy Market (EEM) , no. : 1-5.

Journal article
Published: 01 February 2018 in Electric Power Systems Research
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Currently, the integration of European Electricity Market (EEM) has led to a single European Day-Ahead Market (DAM) with multiple-areas considered as bidding zones. In the near future, the EEM will spread to the Intra-day and Balancing market. To operate the DAM, a market clearing tool (algorithm) has been developed by market operators. The development of this algorithm corresponds to three primary principles: (i) one single framework, (ii) robust operation, and (iii) individual accountability. However, this algorithm is not available to the research community. In this paper, the authors develop a complete European DAM model in General Algebraic Modelling System (GAMS), formulating it as a Mix Integer Quadratic Constraint Problem (MIQCP) and iterative procedure, to mitigate the non-convexity of electricity prices across Europe due to the “fill or kill” condition of block, complex and Prezzo Unico Nazionale (PUN) orders. Eventually, two case studies reflecting the current European DAM evaluated the model, aiming to confirm its robustness and reliability.

ACS Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. European day-ahead electricity market coupling: Discussion, modeling, and case study. Electric Power Systems Research 2018, 155, 80 -92.

AMA Style

Le Hong Lam, Valentin Ilea, Cristian Bovo. European day-ahead electricity market coupling: Discussion, modeling, and case study. Electric Power Systems Research. 2018; 155 ():80-92.

Chicago/Turabian Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. 2018. "European day-ahead electricity market coupling: Discussion, modeling, and case study." Electric Power Systems Research 155, no. : 80-92.

Conference paper
Published: 01 June 2017 in 2017 IEEE Manchester PowerTech
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The integration of a European Electricity Market has leaded to one single market with multi-area which are considered as bidding zones; currently, it regards only the day-ahead market. The Price Coupling of Regions (PCR) project is an initiative for the day ahead market of seven power exchanges APX, Belpex, EPEX SPOT, GME, Nord Pool Spot, OMIE, and OTE. The Italian Power Exchange (GME) has become a part of the PCR since 24th January 2015. Thus, the impact of PCR on GME after one year of the operation needs to be investigated. In this paper, the authors evaluate the impact of PCR on the Italian Power Exchange one year before and after 24th January 2015 from three points of view: (i) the convergence of electricity price, (ii) congestion management, and (iii) the price maker in case of no congestion. The used data is available on GME, EPEX Spot, France TSO, Austria TSO and ENTSO-E websites for 2014, 2015 and 2016.

ACS Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. Impact of the price coupling of regions project on the day-ahead electricity market in Italy. 2017 IEEE Manchester PowerTech 2017, 1 -6.

AMA Style

Le Hong Lam, Valentin Ilea, Cristian Bovo. Impact of the price coupling of regions project on the day-ahead electricity market in Italy. 2017 IEEE Manchester PowerTech. 2017; ():1-6.

Chicago/Turabian Style

Le Hong Lam; Valentin Ilea; Cristian Bovo. 2017. "Impact of the price coupling of regions project on the day-ahead electricity market in Italy." 2017 IEEE Manchester PowerTech , no. : 1-6.

Conference paper
Published: 01 June 2017 in 2017 6th International Conference on Clean Electrical Power (ICCEP)
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One of the main problems in the power system sector in emerging countries is lack of public data and information about transmission and distribution grids: quite often, the only source is limited to the map of the network and general information on the voltage profile and power flows in the lines. Hence, it is currently hardly impossible to perform further network analysis. To overcome this, the paper introduces a reverse engineering procedure applied to the estimation of system parameters, given incomplete information typically available on power flows. To check the accuracy of the proposed model, a power flow solution with the estimated parameters is used as benchmark. Results of the procedure are presented with reference to the transmission network of Tanzania.

ACS Style

S. Mina Mirbagheri; Joel F. Mushi; Valentin Ilea; Marco Merlo; Alberto Berizzi. Grid parameter estimation procedure for emerging countries scenario. 2017 6th International Conference on Clean Electrical Power (ICCEP) 2017, 327 -333.

AMA Style

S. Mina Mirbagheri, Joel F. Mushi, Valentin Ilea, Marco Merlo, Alberto Berizzi. Grid parameter estimation procedure for emerging countries scenario. 2017 6th International Conference on Clean Electrical Power (ICCEP). 2017; ():327-333.

Chicago/Turabian Style

S. Mina Mirbagheri; Joel F. Mushi; Valentin Ilea; Marco Merlo; Alberto Berizzi. 2017. "Grid parameter estimation procedure for emerging countries scenario." 2017 6th International Conference on Clean Electrical Power (ICCEP) , no. : 327-333.

Conference paper
Published: 01 September 2016 in 2016 51st International Universities Power Engineering Conference (UPEC)
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The goal of this work is to study the different dynamic behavior of the Italian electric power system, when subject to large disturbances, in relation to adopted load model and reactive power compensation devices considered for the network. Effectiveness of Defence Plans has already been proved by system Operators, but little attention is paid sometimes to the influence of used models. The adoption of a realistic load model implies a better representation of the system: in particular, the conclusions are that if the load is modeled as dynamic and voltage and frequency dependent, frequency perturbations resulting from the simulated contingencies are less dangerous as compared to more simplified models. Furthermore, the possibility to support voltages at particular buses damps voltage transient consequent to large perturbations and avoids further disconnection of loads, keeping the same security level. The conclusions are supported by tests carried out both on a relatively small portion of the Italian system (Sicily) and on a larger area (central and southern part).

ACS Style

D. Macalli; R. Zaottini; Valentin Ilea; G. Giannuzzi; A. Berizzi. The role of load models and reactive power support during large frequency transients. 2016 51st International Universities Power Engineering Conference (UPEC) 2016, 1 -6.

AMA Style

D. Macalli, R. Zaottini, Valentin Ilea, G. Giannuzzi, A. Berizzi. The role of load models and reactive power support during large frequency transients. 2016 51st International Universities Power Engineering Conference (UPEC). 2016; ():1-6.

Chicago/Turabian Style

D. Macalli; R. Zaottini; Valentin Ilea; G. Giannuzzi; A. Berizzi. 2016. "The role of load models and reactive power support during large frequency transients." 2016 51st International Universities Power Engineering Conference (UPEC) , no. : 1-6.

Conference paper
Published: 01 January 2016 in 2016 AEIT International Annual Conference (AEIT)
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ACS Style

Carlo Arrigoni; Maurizio Bigoloni; Ivan Rochira; Cristian Bovo; Marco Merlo; Valentin Ilea; Roberto Bonera. Smart Distribution Management System: Evolution of MV grids supervision & control systems. 2016 AEIT International Annual Conference (AEIT) 2016, 1 .

AMA Style

Carlo Arrigoni, Maurizio Bigoloni, Ivan Rochira, Cristian Bovo, Marco Merlo, Valentin Ilea, Roberto Bonera. Smart Distribution Management System: Evolution of MV grids supervision & control systems. 2016 AEIT International Annual Conference (AEIT). 2016; ():1.

Chicago/Turabian Style

Carlo Arrigoni; Maurizio Bigoloni; Ivan Rochira; Cristian Bovo; Marco Merlo; Valentin Ilea; Roberto Bonera. 2016. "Smart Distribution Management System: Evolution of MV grids supervision & control systems." 2016 AEIT International Annual Conference (AEIT) , no. : 1.

Journal article
Published: 01 October 2015 in International Journal of Electrical Power & Energy Systems
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ACS Style

Alberto Berizzi; Cristian Bovo; Valentin Ilea; Marco Merlo; Alessandro Miotti; Fabio Zanellini. Decentralized congestion mitigation in HV distribution grids with large penetration of renewable generation. International Journal of Electrical Power & Energy Systems 2015, 71, 51 -59.

AMA Style

Alberto Berizzi, Cristian Bovo, Valentin Ilea, Marco Merlo, Alessandro Miotti, Fabio Zanellini. Decentralized congestion mitigation in HV distribution grids with large penetration of renewable generation. International Journal of Electrical Power & Energy Systems. 2015; 71 ():51-59.

Chicago/Turabian Style

Alberto Berizzi; Cristian Bovo; Valentin Ilea; Marco Merlo; Alessandro Miotti; Fabio Zanellini. 2015. "Decentralized congestion mitigation in HV distribution grids with large penetration of renewable generation." International Journal of Electrical Power & Energy Systems 71, no. : 51-59.

Proceedings article
Published: 01 June 2015 in 2015 IEEE Eindhoven PowerTech
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The rapid spread of the Dispersed Generation (DG) in Distribution Networks (DNs) pushes the Distribution Company to actively manage and control the DN. In order to make this possible, a thorough knowledge of the system state is mandatory and the well-known state estimation techniques used by Transmission System Operators (TSOs) could be applied, but the DNs lack of redundancy due to very limited number of measurement equipment and the impossibility to characterize them statistically make this impossible. The paper proposes an innovative methodology whose aim is to maximize the observability of DNs, by taking into account the current limitations. The proposed algorithm considers the presence of a limited number of measurements located in the primary substations (situation encountered in many DNs) and is designed to be computationally fast. Finally, the performance of the methodology is evaluated on test networks modeling real DNs.

ACS Style

Cristian Bovo; Valentin Ilea; Milos Subasic; Ivan Rochira; Carlo Arrigoni; Bovo Cristian. Innovative methodology for observability improvement of distribution networks. 2015 IEEE Eindhoven PowerTech 2015, 1 -6.

AMA Style

Cristian Bovo, Valentin Ilea, Milos Subasic, Ivan Rochira, Carlo Arrigoni, Bovo Cristian. Innovative methodology for observability improvement of distribution networks. 2015 IEEE Eindhoven PowerTech. 2015; ():1-6.

Chicago/Turabian Style

Cristian Bovo; Valentin Ilea; Milos Subasic; Ivan Rochira; Carlo Arrigoni; Bovo Cristian. 2015. "Innovative methodology for observability improvement of distribution networks." 2015 IEEE Eindhoven PowerTech , no. : 1-6.

Conference paper
Published: 01 August 2014 in 2014 Power Systems Computation Conference
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The paper addresses the problem of observability in poorly measured distribution networks (DNs). In the lack of redundancy and statistical information about the measurements an innovative approach is proposed: it consists in minimizing the sum of the squares of the differences between measured and estimated values of the quantities provided by the measurement equipment present in the system. The proposed technique is based on the Interior Point method. The benefits of the approach in terms of observability improvement are illustrated by simulations involving realistic MV distribution system models. The results presented in the paper represent a part of the INGRID 2 project, which is the product of the collaboration among Politécnico di Milano, SIEMENS SpA and Universita degli Studi di Milano and represents a tool developed to answer the above mention needs of the Distribution System Operator (DSO).

ACS Style

Cristian Bovo; Valentin Ilea; Milos Subasic; Fabio Zanellini; Cario Arigoni; Roberto Bonera. Improvement of observability in poorly measured distribution networks. 2014 Power Systems Computation Conference 2014, 1 -7.

AMA Style

Cristian Bovo, Valentin Ilea, Milos Subasic, Fabio Zanellini, Cario Arigoni, Roberto Bonera. Improvement of observability in poorly measured distribution networks. 2014 Power Systems Computation Conference. 2014; ():1-7.

Chicago/Turabian Style

Cristian Bovo; Valentin Ilea; Milos Subasic; Fabio Zanellini; Cario Arigoni; Roberto Bonera. 2014. "Improvement of observability in poorly measured distribution networks." 2014 Power Systems Computation Conference , no. : 1-7.