1,721,284 research outputs found
Progetto elettrico di un edificio intelligente: Il Complesso Polifunzionale del Lingotto di Torino
No full textA novel chaotic mutation evolutionary programming for multi-objective optimization in power systems
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Market-based control in emerging distribution system operation
No full textIn emerging electrical distribution systems, a multitude of self-interested individual decision makers interacts among themselves and with the power grid. The optimal operation of the grid, according to a set of predefined technical and economic targets, can be achieved by influencing the behaviors of the decision makers with appropriate market signals. The technical feasibility and performance of the system, for example, in terms of line flow limits, network losses, and appropriate voltage profile, can thus be controlled to a certain extent, by market signals. In this paper, we present a conceptual framework for 'Market-based Control' for the operation of emerging distribution systems. Characterized by distributed and adaptive control signals over prosumers, market-based control needs to make prosumer benefits aligned with regulator/DSOs concerns, thus satisfying the requirements from both sides. By applying market-based control in network charging, both network and market performances can be improved. The complexity in the environment and in the interactions among players prompt techniques to be derived from complex systems theory. A multiagent model was built up for testing the market control strategies strategy. The concept and applications are illustrated with reference to a standard CIGRE medium-voltage distribution networ
Market and regulatory factors influencing smart-grid investment in Europe: Evidence from pilot projects and implications for reform
Full text linkElectricity distribution system operators (DSOs) are expected to invest heavily in system innovation in the form of smart grids (SG) in order to help achieve energy policy goals. In this context, regulatory reforms to spur DSOs investments are considered a policy priority. Based on a review of the European regulatory status and using a dataset of 459 innovative SG projects, this study focuses on market and regulatory factors and performs a series of statistical tests to investigate how the different factor levels affecting SG investments in Europe. The results show that (1) lower market concentration in the electricity distribution sector (2) the use of incentive-based regulatory schemes; and (3) the adoption of innovation-stimulus mechanisms are key enablers of SG investment
A hybrid method of chaotic particle swarm optimization and linear interior for reactive power optimization
No full textThe reactive power optimization is an effective method to improve voltage level, decrease network losses and maintain the power system running under normal conditions. This paper provides a method combining particle swarm optimization (PSO) with linear interior point to handle the problems remaining in the traditional arithmetic of time-consuming convergence and demanding initial values. Furthermore, since chaotic mapping enjoys certainty, ergodicity and stochastic property, the paper introduces chaos mapping into the particle swarm optimization, the paper presents a new arithmetic based on a hybrid method of chaotic particle swarm optimization and linear interior point. Thanks to the superior overall exploration ability of particle swarm optimization and the local exploration ability of linear interior point within the neighborhood of the optimal point, the new method can improve the performance of both convergence and results' precision. Tested by IEEE-30, the new method provided in this paper is proved effective and practical in the optimization of shunt capacitors and tap position of load-ratio voltage transforme
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