1,721,081 research outputs found

    A novel approach to Dynamic Security Control: an application for Transmission Management

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    A methodology for treating dynamic optimization problems relevant to dynamic security assessment (DSA) is proposed. This paper starts with an overview on the description of a dynamic optimization problem in the continuous time domain. Through a discretization, a static optimization problem, in the discrete time domain, is obtained. The solution of this problem allows evaluating preventive control actions able to guarantee static and dynamic security of power system. In particular, corrections on bilateral contract power exchanges, through a contract curtailment procedure, are assessed for security-constrained transmission management in a deregulated environment

    Chance-constrained Calculation of the Reserve Service Provided by EV Charging Station Clusters in Energy Communities

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    The concept of energy community is currently under investigation as it is considered central into the energy transition process. One of the main aspects of the successful implementation of community lays in the energy management system that coordinates exchanges among prosumers. This paper deals with the optimal energy management of a local energy community of dc microgrids with electric vehicle charging stations, considering local reserve provided by storage units and vehicle batteries. A two-stage optimal procedure is proposed to assess the optimal scheduling of resources for each community participant. Additionally, the optimal up and down reserve levels able to cover random fluctuations in photovoltaic generation within each EV-based microgrid are determined by a set of specific chance constraints

    A DC Microgrid as Electric Vehicle Supply Infrastructure: Energy Management Architecture and Field Implementation

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    The wide integration of electric mobility into distribution grids raises issues related to the safe operation of the networks, because of demand peak increase and service to be provided, especially for high charging rates and high vehicle penetration levels. Another crucial aspect concerns the development of a proper charging infrastructure with the aim of ensuring smart charging performances avoiding heavy economic efforts for users. A promising solution is represented by the combination of renewable energy source, storage and charging station in a DC microgrid framework, that could enable smart resource control and allow bidirectional power exchange with the grid for service provision. In this paper, the structure of a modular DC-based electric vehicle supply infrastructure is presented, as real demonstrator installed at the premises of the Bari Port Authority. The main features, along with the communication and control framework of the demonstrator, are described, along with control functions under implementation, and presenting some preliminary test results on the field

    Two-stage Scheduling of Electrical Vehicle Charging Station Clusters in a Community of DC Microgrids

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    The paper deals with the day-ahead scheduling of an energy community with the presence of DC microgrids equipped with clusters of bidirectional electric vehicle (EV) charging stations. A two-stage optimization procedure is proposed to coordinate the operation of the community characterized by the exchanges of energy among the microgrids and the operation of each EV charging station in each cluster. The first stage implements a distributed scheme based on the alternating direction method of multipliers (ADMM) to provide the scheduling of each community participant. In this stage, for each microgrid, all the EV batteries connected to the charging stations are aggregated in a single storage unit. The second stage provides the detailed scheduling of each charging station, in agreement with the energy transactions defined by the first stage and exploiting vehicle-to-grid services

    A regional energy planning methodology including renewable energy sources and environmental constraints

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    In this paper, a bottom-up energy system optimisation model is proposed in order to support planning policies for promoting the use of renewableenergysources. A linear programming optimisation methodology based on the energy flow optimisation model (EFOM) is adopted, detailing the primary energysources exploitation (including biomass, solid waste, process by-products), power and heat generation, emissions and end-use sectors. The modelling framework is enhanced in order to adapt the model to the characteristics and requirements of the region under investigation. In particular, a detailed description of the industrial cogeneration system, that turns out to be the more efficient and increasingly spread, is incorporated in the regional model. The optimisation process, aiming to reduce environmental impact and economical efforts, provides feasible generation settlements that take into account the installation of combined cycle power plants, wind power, solid-waste and biomass exploitation together with industrial combined heat and power (CHP) systems. The proposed methodology is applied to case of the Apulia region in the Southern Italy

    Learning design of blended learning at university

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    The suspension of the face to face teaching activities occurred with the D.P.C.M. of 04.03.2020 and the consequent activation of emergency distance learning in all levels of education in Italy represents a moment of reflection on the opportunities for innovation in educational practices in the direction of hybridization of methods and tools used. This is represented especially in the university context, which as a place of training of a particularly diverse user, has the opportunity to experiment with forms of flexibility training using intentionally designed e-learning environments, such as the Moodle platform.The suspension of the face to face teaching activities occurred with the D.P.C.M. of 04.03.2020 and the consequent activation of emergency distance learning in all levels of education in Italy represents a moment of reflection on the opportunities for innovation in educational practices in the direction of hybridization of methods and tools used. This is represented especially in the university context, which as a place of training of a particularly diverse user, has the opportunity to experiment with forms of flexibility training using intentionally designed e-learning environments, such as the Moodle platform

    Optimal load matching of combined CSP and storage power plant

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    The aim of this work is to investigate the potential application of a CSP plant to the supply of residential users. In particular, according to an early statistic estimation of solar radiation on the sun-tracking surface, electricity production is assessed. Potentials for supply of a residential electricity load are analyzed in the presence of suitable energy storage device, aiming to optimize operation costs
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