C I R E D 22 nd International Conference on Electricity Distribution Stockholm, 10-13 June 2013 Paper 1493 CIRED2013 Session 3 Paper No 1493 APPLICATIONS OF DMS IN THE ATLANTIDE PROJECT: MODELS AND TOOLS Fabrizio PILO, Giuditta PISANO Simona RUGGERI University of Cagliari - Italy pilo@diee.unica.it giuditta.pisano@diee.unica.it simona.ruggeri@ diee.unica.it Sandra SCALARI, Diego DAL CANTO Giacomo PETRETTO ENEL Engineering & Research - Italy sandra.scalari@enel.com diego.dalcanto@enel.com giacomo.petretto@enel.com Alfredo TESTA, Roberto LANGELLA Luigi FEOLA, Second University of Napoli Italy alfredo.testa@unina2.it roberto.langella@unina2.it luigi.feola@unina2.it Roberto CALDON, Roberto TURRI Massimiliano COPPO University of Padova Italy roberto.caldon@unipd.it roberto.turri@unipd.it massimiliano.coppo@unipd.it ABSTRACT The paper presents some significant results of an exstensive modelling activity being carried out within ATLANTIDE, an on-going Italian Research Project, for studying the active distribution networks under different evolutionary scenarios. The attention is focused on the DMS and its integration with Active Demand side integration with particular reference to urban distribution networks. The results confirm that the developed models, which will be soon made available to the ATLANTIDE community for use with common power flow software packages, are well suited for simulating the operation of modern distribution management systems INTRODUCTION ATLANTIDE is a three years research project funded by the Italian Ministry of Economic Development under the framework of the Italian Research Fund for the development of the Italian Power System. ATLANTIDE aims at realizing a repository of reference models for both passive and active LV and MV distribution networks, specifically tailored to the Italian distribution system. The models of reference networks, generation units and loads, and other equipment (e.g., switchgear and relays, Distribution Management System (DMS), etc.) are stored in a database containing their typical characteristics. References models constitute a comprehensive dataset to be used for studying medium and long term predictable scenarios, taking into account the development of the distribution system originated by the load consumption evolution, the widespread integration of distributed and renewable generation, and distribution storage devices [1, 2, 3]. The predictable evolutionary scenarios for the distribution system may require high rate of capital expenditures if faced with traditional network solutions. The use of operation techniques at the distribution level allows the system to increase the hosting capacity of a distribution system without jeopardizing reliability and minimizing both capital and operational expenditures [4, 5]. The original ATLANTIDE technical-economic models for the optimal coordination of Distributed Energy Resources (DER), Distribution Energy Storage (DES) and Active Demand (AD) demonstrate the capability to be a suitable alternative to massive network investments in various predictable scenarios. These models are part of the Distribution Management System (DMS) chain that can be easily simulated in ATLANTIDE with different software packages. The DMS optimizes an objective function that is the sum of the operational expenditures related to the active management of a given distribution systems. The terms of the objective function can be user-defined to match with the specific features of rural, industrial and urban networks. For instance, in the rural networks, characterized by long overhead lines with high X/R ratio, the participation of the generators to the Volt/VAR regulation is a valid opportunity that might be effective to reduce the curtailment of the renewable power production for overvoltage. In urban networks, the participation of the final users to AD programs for load levelling and peak shaving leads to an increase of hosting capacity with less capital expenditures (e.g., deferment of investments for the addition of a second transformer in the substation). In industrial networks, energy storage might be a much easier to implement option and the DMS can take benefit from an optimal operation of storage for both energy and regulation services. In this paper the attention has been focused to the integration of AD in the optimal operation of Active Distribution Systems. Firstly, the AD models used in ATLANTIDE are described with particular reference to the true response of loads to aggregators and DSO request of participation to the operation of the system. Secondly, the models for taking into due account the increasing of load demand subsequent to demand side action are also described. Thirdly, an urban network available in the ATLANTIDE database is also described. This network shows the typical characteristics of urban systems that can obtain the highest benefit from the exploitation of demand side integration. Finally, the ATLANTIDE model of a centralized DMS has been applied to the selected urban network to demonstrate the worth of the participation of AD in active management. ACTIVE DEMAND MODEL In ATLANTIDE, following the experiences made by other EU projects, the AD is expressed as a variation of load with respect to a reference profile representing the