Instantaneous, Short-Term and Predictive Long-Term Power Balancing Techniques in Intelligent Distribution Grids

Part 12: Integration of Power Electronics Systems with ICT - IIInternational audienceAn increased number of distributed small generators connected to the power grid allows higher total efficiency and higher stability of electrical power supply by exporting energy to the grid to be achieved during peak demand hours. On the other hand, it poses new challenges in structuring and developing the control approaches for these distributed energy resources. This paper proposes an improved method of real-time power balancing targeted to reaching long-term energy management objectives. The novel long-term energy management technique is proposed, that is based on load categorization and regulation of energy consumption by regulating electricity price function estimated with the proposed mathematical model. The method was evaluated by a LabVIEW model by simulating various types of loads. The price function for the defined energy generation pattern from renewable energy sources was obtained

Standard methods for Apis mellifera venom research

Honey bees have a sting which allows them to inject venomous substances into the body of an opponent or attacker. As the sting originates from a modified ovipositor, it only occurs in the female insect, and this is a defining feature of the bee species that belong to a subclade of the Hymenoptera called Aculeata. There is considerable interest in bee venom research, primarily because of an important subset of the human population who will develop a sometimes life threatening allergic response after a bee sting. However, the use of honey bee venom goes much further, with alleged healing properties in ancient therapies and recent research. The present paper aims to standardize selected methods for honey bee venom research. It covers different methods of venom collection, characterization and storage. Much attention was also addressed to the determination of the biological activity of the venom and its use in the context of biomedical research, more specifically venom allergy. Finally, the procedure for the assignment of new venom allergens has been presented. Las abejas meliferas tienen un aguijon que les permite inyectar sustancias venenosas en el cuerpo de un oponente o atacante. El aguijon es un ovipositor modificado que solo se manifiesta en el insecto hembra, siendo este una caracteristica que define a las especies de abejas que pertenecen al subclado de himenopteros llamada Aculeata. Hay un interes considerable en la investigacion del veneno de abeja, principalmente debido a que un porcentaje importante de la poblacion humana desarrollara una respuesta alergica - a veces mortal - a la picadura de abeja. Sin embargo, el uso del veneno de la abeja melifera abarca mucho mas, con presuntas propiedades curativas en terapias antiguas e investigaciones recientes. El presente trabajo tiene como objetivo estandarizar metodos seleccionados para la investigacion del veneno de las abejas meliferas. Cubre diferentes metodos de recoleccion, caracterizacion y almacenamiento de veneno. Tambien se presto mucha atencion a la determinacion de la actividad biologica del veneno y su uso en el contexto de la investigacion biomedica, mas especificamente la alergia al veneno. Finalmente, se ha presentado el procedimiento para la asignacion de nuevos alergenos de veneno

Unit commitment by dynamic programming for microgrid operational planning optimization and emission reduction

This paper presents a 24 hour ahead microgrid power planning using the approach of unit commitment by dynamic programming. The studied system comprises twelve PV based active generators with embedded storage and three micro gas turbines. Based on the prediction of the energy available from the PV generator, the storage availability, the micro turbine emission characteristics and the load prediction, a central energy management system calculates a 24-hour ahead plan of the power references for three micro gas turbines and the active generators in order to minimize the CO2 equivalent emissions of the gas turbines

Energy flows management of a hybrid system with renewable energy generators

International audienc

Robust control of a photovoltaic battery system via fuzzy sliding mode approach

Studies in Computational Intelligence Volume 709, 2017, Pages 115-142 Robust control of a photovoltaic battery system via fuzzy sliding mode approach (Book Chapter) Baldini, A.a , Ciabattoni, L.a , Felicetti, R.a , Ferracuti, F.a , Freddi, A.b , \ud Monteriù, A.a , Vaidyanathan, S.c a Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy b SMARTEST Research Centre, Università degli Studi eCampus, Via Isimbardi 10, Novedrate, CO, Italy c Research and Development Centre, Vel Tech University, Chennai, Tamil Nadu, India View additional affiliations View references (43) Abstract In this chapter we propose a novel fuzzy sliding mode approach to manage the power flow of a Photovoltaic (PV) battery system. In particular, due to the inner stochastic nature and intermittency of the solar production and in order to face the irradiance rapid changes, a robust and fast controller is needed. Sliding Mode Control (SMC) is a well-known approach to control systems under heavy uncertain conditions. However, one of the major drawbacks of this control technique is the high frequency chattering generated by the switching control term. In the proposed solution, we introduce a fuzzy inference system to set the controller parameters (boundary layer and gains) according to the measured irradiance. A comparison of the designed Fuzzy Sliding Mode Control (FSMC) with two popular controllers (PI and Backstepping) is performed. In particular, FSMC shows better performances in terms of steady state chattering and transient response, as confirmed by IAE, ISE and ITAE performance indexes. © Springer International Publishing AG 2017