This page has only limited features, please log in for full access.
In this paper, the flexibility of hybrid AC-DC distribution networks is exploited to coordinate multiple Distributed Energy Resources (DERs) with the aim of promptly restoring unexpected power imbalances caused by intermittent Renewable Energy Sources (RESs) and loads. Given the potential large-scale nature of the problem, the AC distribution network is decomposed into non-overlapping areas named clusters, equipped with MicroGrids (MGs) and non-dispatchable units, and interconnected also by the DC network. Each cluster is endowed with a Model Predictive Controller designed to compensate the local active power variability by requesting balancing services to the local MGs. A supervisory layer is designed and activated to optimally transfer power through the controllable DC links guaranteeing enough operative margins to each cluster. The designed architecture is tested on a benchmark grid composed of the IEEE 37-bus and 13-bus systems, connected by a multi-terminal DC network. The reported numerical results witness the effectiveness of the proposed approach.
Fabio Bonassi; Alessio La Bella; Riccardo Lazzari; Carlo Sandroni; Riccardo Scattolini. Supervised control of hybrid AC-DC grids for power balance restoration. Electric Power Systems Research 2021, 196, 107107 .
AMA StyleFabio Bonassi, Alessio La Bella, Riccardo Lazzari, Carlo Sandroni, Riccardo Scattolini. Supervised control of hybrid AC-DC grids for power balance restoration. Electric Power Systems Research. 2021; 196 ():107107.
Chicago/Turabian StyleFabio Bonassi; Alessio La Bella; Riccardo Lazzari; Carlo Sandroni; Riccardo Scattolini. 2021. "Supervised control of hybrid AC-DC grids for power balance restoration." Electric Power Systems Research 196, no. : 107107.
Power system operation is of vital importance and must be developed far beyond today’s practice to meet future needs. Almost all European countries are facing an abrupt and very important increase of renewables with intrinsically varying yields which are difficult to predict. In addition, an increase of new types of electric loads and a reduction of traditional production from bulk generation can be observed as well. Hence, the level of complexity of system operation steadily increases. Because of these developments, the traditional power system is being transformed into a smart grid. Previous and ongoing research has tended to focus on how specific aspects of smart grids can be developed and validated, but until now there exists no integrated approach for analysing and evaluating complex smart grid configurations. To tackle these research and development needs, a pan-European research infrastructure is realized in the ERIGrid project that supports the technology development as well as the roll-out of smart grid technologies and solutions. This paper provides an overview of the main results of ERIGrid which have been achieved during the last four years. Also, experiences and lessons learned are discussed and an outlook to future research needs is provided.
T. I. Strasser; E. C. W. De Jong; M. Sosnina; J. E. Rodriguez-Seco; P. Kotsampopoulos; D. Babazadeh; K. Mäki; R. Bhandia; R. Brandl; C. Sandroni; K. Heussen; F. Coffele. Achievements, experiences, and lessons learned from the European research infrastructure ERIGrid related to the validation of power and energy systems. e & i Elektrotechnik und Informationstechnik 2020, 137, 502 -508.
AMA StyleT. I. Strasser, E. C. W. De Jong, M. Sosnina, J. E. Rodriguez-Seco, P. Kotsampopoulos, D. Babazadeh, K. Mäki, R. Bhandia, R. Brandl, C. Sandroni, K. Heussen, F. Coffele. Achievements, experiences, and lessons learned from the European research infrastructure ERIGrid related to the validation of power and energy systems. e & i Elektrotechnik und Informationstechnik. 2020; 137 (8):502-508.
Chicago/Turabian StyleT. I. Strasser; E. C. W. De Jong; M. Sosnina; J. E. Rodriguez-Seco; P. Kotsampopoulos; D. Babazadeh; K. Mäki; R. Bhandia; R. Brandl; C. Sandroni; K. Heussen; F. Coffele. 2020. "Achievements, experiences, and lessons learned from the European research infrastructure ERIGrid related to the validation of power and energy systems." e & i Elektrotechnik und Informationstechnik 137, no. 8: 502-508.
Microgrids are composed of distributed energy resources (DERs), storage devices, electric vehicles, flexible loads and so on. They may either operate connected to the main electricity grid (on-grid operation) or separated from the grid (islanded operation). The outputs of the renewable energy sources may fluctuate and thus can cause deviations in the voltage magnitudes especially at islanded mode. This may affect the stability of the microgrids. This paper proposes an optimization model to efficiently manage controllable devices in microgrids aiming to minimize the voltage deviations both in on-grid and islanded operation modes. RSE Distributed Energy Resources Test Facility (DER-TF), which is a low voltage microgrid system in Italy, is used to verify the algorithm. The test system’s data is taken through an online software system (REDIS) and a harmony search based optimization algorithm is applied to control the device parameters. The experimental results show that the harmony search based optimization approach successfully finds the control parameters, and can help the system to obtain a better voltage profile.
Oğuzhan Ceylan; Mustafa Erdem Sezgin; Murat Göl; Maurizio Verga; Riccardo Lazzari; Marcel Pendieu Kwaye; Carlo Sandroni. Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids. Applied Sciences 2020, 10, 3252 .
AMA StyleOğuzhan Ceylan, Mustafa Erdem Sezgin, Murat Göl, Maurizio Verga, Riccardo Lazzari, Marcel Pendieu Kwaye, Carlo Sandroni. Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids. Applied Sciences. 2020; 10 (9):3252.
Chicago/Turabian StyleOğuzhan Ceylan; Mustafa Erdem Sezgin; Murat Göl; Maurizio Verga; Riccardo Lazzari; Marcel Pendieu Kwaye; Carlo Sandroni. 2020. "Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids." Applied Sciences 10, no. 9: 3252.
The complexity of a smart grid with a high share of renewable energy resources introduces several issues in testing power equipment and controls. In this context, real-time simulation and Hardware in the Loop (HIL) techniques can tackle these problems that are typical for power system testing. However, implementing a convoluted HIL setup in a single infrastructure can be physically impossible or can increase the time required to test a smart grid application in detail. This paper introduces the Joint Test Facility for Smart Energy Networks with Distributed Energy Resources (JaNDER) that allows users to exchange data in real-time between two or more infrastructures. This tool enables the integration of infrastructures, exploiting the synergies between them, and creating a virtual infrastructure that can perform more experiments using a combination of the resources installed in each infrastructure. In particular, JaNDER can extend a HIL setup. In order to validate this new testing concept, a coordinated voltage controller has been tested in a Controller HIL setup where JaNDER was used to interact with an actual On Load Tap Changer (OLTC) controller located in a remote infrastructure. The results show that the latency introduced by JaNDER is not critical; hence, under certain circumstances, it can be used to expand the real-time testing without affecting the stability of the experiment.
Luigi Pellegrino; Carlo Sandroni; Enea Bionda; Daniele Pala; Dimitris T. Lagos; Nikos Hatziargyriou; Nabil Akroud. Remote Laboratory Testing Demonstration. Energies 2020, 13, 2283 .
AMA StyleLuigi Pellegrino, Carlo Sandroni, Enea Bionda, Daniele Pala, Dimitris T. Lagos, Nikos Hatziargyriou, Nabil Akroud. Remote Laboratory Testing Demonstration. Energies. 2020; 13 (9):2283.
Chicago/Turabian StyleLuigi Pellegrino; Carlo Sandroni; Enea Bionda; Daniele Pala; Dimitris T. Lagos; Nikos Hatziargyriou; Nabil Akroud. 2020. "Remote Laboratory Testing Demonstration." Energies 13, no. 9: 2283.
Volatile renewable energy resources are gaining more and more diffusion throughout the power system, and their intermittent production calls for enhanced balancing efforts. With a recent regulation, the European Union endorsed the participation of aggregated microgrids to the balancing of power system. The resulting assets optimization problem, however, features privacy constraints that prevent a full exchange of information, making fully centralized approaches not suitable. To this purpose, this work proposes a hierarchical approach allowing microgrids' aggregators to provide balancing services in an efficient and privacy-friendly fashion. This approach is based on a novel method to describe the power exibility that each microgrid can provide, allowing to significantly decrease the computational effort
Alessio La Bella; Fabio Bonassi; Carlo Sandroni; Lorenzo Fagiano; Riccardo Scattolini. A hierarchical approach for balancing service provision by microgrids aggregators. IFAC-PapersOnLine 2020, 53, 12930 -12935.
AMA StyleAlessio La Bella, Fabio Bonassi, Carlo Sandroni, Lorenzo Fagiano, Riccardo Scattolini. A hierarchical approach for balancing service provision by microgrids aggregators. IFAC-PapersOnLine. 2020; 53 (2):12930-12935.
Chicago/Turabian StyleAlessio La Bella; Fabio Bonassi; Carlo Sandroni; Lorenzo Fagiano; Riccardo Scattolini. 2020. "A hierarchical approach for balancing service provision by microgrids aggregators." IFAC-PapersOnLine 53, no. 2: 12930-12935.
We address the problem of the optimal management of an aggregate of electric vehicles (EVs) for the provision of ancillary services to the grid, by means of a bidirectional vehicle-to-grid (V2G) infrastructure. We consider the case of a charging point operator that acts as an aggregator and has to optimally choose the charge/discharge power profile of each vehicle so as to maximize its profits, while satisfying technical constraints and final user constraints (the latter expressed as a minimum desired charge for motion). In this setting the aggregator can operate on both an energy market and an ancillary services market: in the latter, the deployed power depends on a signal received by the aggregator after the market closing time; this signal can be discrete or continuous. We formulate the problem via stochastic programming, under the assumptions of optimal bidding strategy and known vehicle arrivals and departures. We obtain, via mixed-integer linear programming, an exact robust counterpart of the constraints and an expected value cost function, which is exact if the signal is discrete. If the signal is continuous, the cost function varies depending on the probability distribution of the signal and could require an approximation to obtain a computationally tractable formulation. We then show that, in the case of uniform probability, an efficient formulation can be obtained by introducing a negligible approximation of the cost function; a numerical example shows the validity of the approach.
M. Rossini; C. Sandroni; R. Vignali. A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services. IFAC-PapersOnLine 2020, 53, 7431 -7438.
AMA StyleM. Rossini, C. Sandroni, R. Vignali. A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services. IFAC-PapersOnLine. 2020; 53 (2):7431-7438.
Chicago/Turabian StyleM. Rossini; C. Sandroni; R. Vignali. 2020. "A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services." IFAC-PapersOnLine 53, no. 2: 7431-7438.
Microgrids (MGs) are an interesting solution to locally manage distributed generation, but they are not usually designed to provide significant contribution in terms of external ancillary services to the main grid. In this brief, we propose a framework for the aggregation, coordination, and day-ahead scheduling of interconnected MGs to provide external services, such as the power-reserve provision. The framework is structured in three phases. In the first one, a distributed optimization algorithm computes the day-ahead profile of the active power production of the MGs based on the available forecasts. Scalability of the optimization problem and confidentiality requirements are guaranteed. In the second phase, reactive power flows are scheduled while ensuring that the active power trends planned in the first phase do not compromise voltage/current limitations. The third phase is used to schedule the active and reactive power profiles of the generation units of each MG to make them consistent with the requirements and results of the previous two phases.
Alessio La Bella; Marcello Farina; Carlo Sandroni; Riccardo Scattolini. Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services. IEEE Transactions on Control Systems Technology 2019, 28, 2616 -2624.
AMA StyleAlessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini. Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services. IEEE Transactions on Control Systems Technology. 2019; 28 (6):2616-2624.
Chicago/Turabian StyleAlessio La Bella; Marcello Farina; Carlo Sandroni; Riccardo Scattolini. 2019. "Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services." IEEE Transactions on Control Systems Technology 28, no. 6: 2616-2624.
This paper focuses on the modelling and predictive control of a real medium temperature solar cooling system made up of a solar collector, an absorption chiller, a gas heater, hot and cold water storage tanks, connecting pipes, pumps, and a number of valves, allowing to modify the plant configuration in order to optimize its performance in terms of electric power and gas consumption. A detailed model of the plant is first obtained as a mix of first principle equations, validated with data collected on the plant, and identification techniques. Then, the model is simplified and used to formulate a hybrid Model Predictive Control (MPC) problem computing the optimal plant configuration over a prediction horizon of six hours, or more, and based on the available forecast of the solar radiation and user demand. The developed MPC algorithm has been used to control the plant; some of the collected results are reported here to witness the potentialities of the proposed approach.
Niraj Rathod; Alessio La Bella; Gianluca Puleo; Riccardo Scattolini; Andrea Rossetti; Carlo Sandroni. Modelling and predictive control of a solar cooling plant with flexible configuration. Journal of Process Control 2019, 76, 74 -86.
AMA StyleNiraj Rathod, Alessio La Bella, Gianluca Puleo, Riccardo Scattolini, Andrea Rossetti, Carlo Sandroni. Modelling and predictive control of a solar cooling plant with flexible configuration. Journal of Process Control. 2019; 76 ():74-86.
Chicago/Turabian StyleNiraj Rathod; Alessio La Bella; Gianluca Puleo; Riccardo Scattolini; Andrea Rossetti; Carlo Sandroni. 2019. "Modelling and predictive control of a solar cooling plant with flexible configuration." Journal of Process Control 76, no. : 74-86.