1,721,051 research outputs found

    Probabilistic planning of a battery energy storage system in a hybrid microgrid based on the Taguchi arrays

    Full text link
    The transformation of electrical networks in the context of the new smart grid paradigm unavoidably involves new challenges for electrical component planning. This paper provides a tool for the probabilistic sizing of a battery energy storage system in a hybrid AC/DC microgrid (i.e., a microgrid including AC and DC subsections with AC and DC loads and renewable power generation). The procedure is based on an analytical formulation to assess the total costs sustained by the microgrid for the inclusion of the battery energy storage system. The total costs depend on the random nature of the load demand, the electrical energy prices, and the renewable power generation, therefore, a probabilistic approach has been used. Furthermore, to account for uncertainties that affect the input data, the Taguchi orthogonal arrays are applied which allow significantly reducing the computational efforts while guaranteeing the desired accuracy of the results. The proposed analytical formulation along with the use of the Taguchi orthogonal arrays allows limiting the computational complexity even in presence of a large number of random inputs and discretization levels. A case study based on an industrial hybrid microgrid is presented to analyse the results obtained in terms of the optimal sizing of the battery energy storage system and to investigate the sensitivity with respect to some inputs

    Planning of Battery Energy Storage Systems Accounting for Uncertainties and Degradation

    No full text
    The paper proposes a tool for the optimal sizing of an end user's battery energy storage system. The sizing is performed considering demand response applications with real time energy prices. The procedure, which takes into account also the battery degradation due to some stress factors, is performed based on uncertainties of generation, load, weather conditions, discount rate and energy price. Particularly, the sizing of the storage device is aimed at maximizing the economic benefit of the end user

    Addressing Technology Uncertainties in Battery Energy Storage Sizing Procedures

    No full text
    This paper analyzes the influence of technology uncertainties on the sizing of battery systems. The sizing is based on the minimization of the costs incurred by the end customer and is performed considering demand response applications in the frame of time of use tariffs. The randomness of i) battery round trip efficiency, ii) life time duration, iii) unit costs related to battery capacity, power conversion system, operation and maintenance and replacement is taken into account in order to identify the most convenient solution from an economic and technical point of view. Based on the load requests of actual industrial and residential loads, numerical applications have been performed. The results provided useful information regarding the influence uncertainties have in the choice of a battery energy storage syste

    Two-phase controlled compensator for alternating current quality improvement of electrified railway systems

    No full text
    The technological development of electrified railway systems during recent decades has demanded higher and higher quality performances of the supply subsystem. For this purpose, the recourse to electronics and to automation techniques can represent the right way to secure a reliable and efficient electric supply to the railway. The paper summarises the general problems of quality in railway electrification and proposes a new configuration of traction substations for single-phase AC-supply railways, based on the use of a two-phase inverter with nonlinear and variable-structure control system. Such an advanced technical solution allows one to obtain full compensation of load unbalances, constant load voltage, satisfactory power factor and a remarkable reduction of both disturbances and nonlinear-load effects. Some numerical applications show the efficacy of the proposed controlled compensator in containing disturbances and power-parameter variations, as well as its high performances in terms of fast response time, accuracy in steady-state conditions and general low sensitivity to disturbances

    Probabilistic sizing of battery energy storage when time-of-use pricing is applied

    No full text
    Demand response (DR) is a useful tool for end users, since it allows noticeable reductions in the electricity bill. However, some customers have stringent constraints in terms of hourly active power, which makes DR attractive only when performed with the contemporaneous use of battery energy storage systems (BESSs). When this option is used, it is desirable to optimally size the BESSs, since their high investment costs could make their use impracticable for DR purposes. The uncertainties related to many of the inputs required by the BESS-sizing procedure make it necessary to use a probabilistic framework for sizing. In this paper, a probabilistic approach is proposed for the optimal sizing of BESSs when time-of-use (ToU) pricing is applied. The sizing procedure takes into account the uncertainties that unavoidably affect the evaluation of the total cost incurred by the customer such as load demand, energy prices, and economic factors
    corecore