Medium voltage network control centre functionalities to enable and exploit active Demand

Valtorta, Giovanni; Consiglio, Lilia; Morozova, Olena; Naso, Francesco; Narro, José Miguel Yarza; Vlug, Nico; Glorieux, Luc; Timbus, A.V.; Paoletti, Simone

doi:10.1109/energycon.2012.6348232

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…In addition, the computation of flexibility tables requires load forecasts as inputs [10]. Since load forecasts are needed for both technical validation of AD products and flexibility table calculation, load forecasting has been added as a distinct distribution management system functionality in the ADDRESS medium voltage control center architecture [11]. This calls for new forecasting tools able to consider the load modifications determined by AD.…”

Section: A Motivationmentioning

confidence: 99%

Models and Techniques for Electric Load Forecasting in the Presence of Demand Response

Garulli

Paoletti

Vicino

2015

IEEE Trans. Contr. Syst. Technol.

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Demand-side management has been recently recognized as a strategic concept in smart electricity grids. In this context, active demand (AD) represents a demand response scenario in which households and small commercial consumers participate in grid management through appropriate modifications of their consumption patterns during certain time periods in return of a monetary reward. The participation is mediated by a new player, called aggregator, who designs the consumption pattern modifications to make up standardized products to be sold on the energy market. The presence of this new input to consumers generated by aggregators modifies the load behavior, asking for load forecasting algorithms that explicitly consider the AD effect. In this paper, we propose an approach to load forecasting in the presence of AD, based on gray-box models where the seasonal component of the load is extracted by a suitable preprocessing and AD is considered as an exogenous input to a linear transfer function model. The approach is thought for a distribution system operator that performs technical validation of AD products, and therefore possesses full information about the AD schedule in the network. A comparison of the performance of the proposed approach with techniques not using the information on AD and with approaches based on nonlinear black-box models is performed on a real load time series recorded in an area of the Italian low voltage network

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Section: A Motivationmentioning

confidence: 99%

Models and Techniques for Electric Load Forecasting in the Presence of Demand Response

Garulli

Paoletti

Vicino

2015

IEEE Trans. Contr. Syst. Technol.

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“…On the other hand, the DSO/TSO may be interested in purchasing flexibility for its own needs [22]. To comply with the two-sided role, the control centre of the DSO has to be equipped with new/updated monitoring and control functions [23][24][25]. The information made available in the DSO's new control centre allows consideration of the distribution network with a high level of detail, possibly down to the individual phases of a bus.…”

Section: Load Area-conceptmentioning

confidence: 99%

Load Areas in Radial Unbalanced Distribution Systems

Casolino

Losi

2019

Energies

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The demand becoming flexible is a requirement for the full exploitation of renewable energy sources. Aggregation may foster the provision of flexibility by small-scale providers connected to distribution grids, since it allows offering significant flexibility volumes to the market. The aggregation of flexibility providers is carried out by the aggregator, a new market role and possibly a new market player. Location information of individual flexibility providers is necessary for both the aggregator and the system operators, in particular, the Distribution System Operator (DSO). For the former, information should allow treating a high number of individual flexibility providers as a single provider to offer significant flexibility volumes to the markets; for the latter, the information should ensure an adequate visibility of the connection of the individual providers to the grid. In the paper, the concept of Load Area (LA) is recalled, which combines the needs of location information of the aggregator and of the DSO. A method for the identification and modeling of LAs for the general case of unbalanced radial systems is proposed. The results of the methods’ application to two studied unbalanced networks are presented, showing the effectiveness and viability of the proposed approach.

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Distribution Control Center: New Requirements and Functionalities

Losi¹,

Mancarella²,

Vicino³

2015

Integration of Demand Response Into the Electricity Chain

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This chapter begins by defining and classifying the functional specifications and the architectures of medium voltage control center (MVCC). A simplified functional architecture can be represented at two main control levels: the distribution system operator (DSO) central control level and the peripheral/field level. The chapter then analyzes the main new functionalities in detail and describes the related algorithms, in particular for active and reactive power control, validation of demand response (DR) products and operational planning. The management of active distribution grids exploiting distributed generator (DG), DR and energy storage requires the development and implementation of new operational planning applications at the MVCC level. Among these, a prominent role is played by load and DG forecasting, and the new market tools for the DSO decision-making process, including DR as an additional option for distribution network operation

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Medium voltage network control centre functionalities to enable and exploit active Demand

Cited by 4 publications

References 3 publications

Models and Techniques for Electric Load Forecasting in the Presence of Demand Response

Models and Techniques for Electric Load Forecasting in the Presence of Demand Response

Load Areas in Radial Unbalanced Distribution Systems

Distribution Control Center: New Requirements and Functionalities

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