4,427 research outputs found

    Razionalizzazione e monitoraggio dei consumi elettrici nella pubblica amministrazione

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    L’articolo riporta alcune esperienze di aggregazione economico-gestionale di utenze elettriche della Pubblica Amministrazione, proponendo metodologie di analisi di cluster energetici su scala regionale e illustrando azioni di monitoraggio e Demand Side Management che si sono tradotte per alcune specifiche applicazioni in tangibili risparmi economici

    Optimal Management Strategy of a Battery-Based Storage System to Improve Renewable Energy Integration in Distribution Networks

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    The paper proposes the modeling and the optimal management of a hot-temperature (sodium nickel chloride) battery system coupled with wind generators connected to a medium voltage grid. A discrete-time model of the storage device reproducing the battery main dynamics (i.e., state of charge, temperature, current, protection, and limitation systems) has been developed. The model has been validated through some experimental tests. An optimal management strategy has been implemented based on a forward dynamic programming algorithm, specifically developed to exploit the energy price arbitrage along the optimization time horizon ("generation shifting"). Taking advantage of this strategy wind generation performances can be enhanced and adapted to load demand, obtaining an increased economic gain measured by the difference between the economic revenue obtained with and without the proposed generation shifting policy

    Coordinated closed-loop voltage control by using a real-time Volt/VAR Optimization function for MV distribution Networks

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    Advanced Distribution Management Systems (DMS) functions in general and Volt/Var Optimization (VVO) function in particular are forefront tools for reliable and economic operation of distribution Networks. By using real time calculation results from VVO, there is a potential for closed-loop voltage control and sending set-points to tap changers and capacitor banks. The major challenge for such closed-loop voltage control is the possibility of larger computation time for optimization problem and also delays associated to the two-way communication platform between the VVO engine and field through the SCADA system. The objective of this paper is to develop the idea of closed-loop voltage control by utilizing a VVO engine with a full mixed integer linear programming (MILP) model for solving optimization problem for real-time and planning applications. Optimization problems are implemented in GAMS and have been tested on a real small MV distribution network

    Day-Ahead Planning and Real-Time Control of Integrated PV-Storage Systems by Stochastic Optimization

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    This paper proposes a solution for the day-ahead planning and the control of real-time operation of a large utility-scale grid-connected system composed by a photovoltaic plant (PV) integrated with a battery energy storage system (BESS). The day-head planning algorithm determines the optimal daily energy delivery profile based on a prediction of the PV power production. The objective is to maximize the power delivery, according to the request of specific profile shape constraints, which can be defined by the transmission system operator. The real-time operation algorithm dynamically regulates the BESS power exchange, in order to realize the planned power profile and satisfying operational and technical constraints. The proposed algorithms use chance-constrained stochastic optimization, which allows the day-ahead planning and the real-time operation to stochastically take into to account long-term and short-term PV power predictions, respectively. Simulations results show the effectiveness of the proposed solutions

    Modeling of DFIG Wind Turbine and Lithium Ion Energy Storage System

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    The paper is aimed at describing the dynamic models of DFIG equipped wind turbine and Lithium Ion EnergySystem. The purpose of the energy storage system is to be coupled to the wind generation system in order to smooth its power output. Depending on the size of the storage system different task can be performed, starting from short term fluctuation leveling and power quality, getting to primary frequency-power regulation and, in case on large sizing, granting day-ahead turbines dispatching

    Ship electrical load analysis and power generation optimisation to reduce operational costs

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    Nowadays the amount of electrical power generated on-board ships is drastically increased, especially for the All Electric Ships (AES) where all the energy needed is supplied by the electrical power system. In this context, the traditional methods to calculate the power demand and select the size of the generation system have become inadequate, since they are based on very dated assumptions. Aim of this paper is to present an optimum problem in order to correctly and efficiently size the generation system. The power demanded will be calculated using the traditional approach based on Load Factors. The optimum problem will be solved using the Genetic Algorithms, and provide the optimal size, load factors and unit commitment for each generator in each ship operative scenario
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