PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A multi-slack optimization model for scheduling energy hubs in smart grids

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper provides a multi-slack optimization model in order to manage the operation of an energy hub in smart grids. This model is centralized on a multi-slack one in which the proposed slack variables are in line with actual energy providers. Both electrical and thermal loads are considered in this model. An external grid and boilers are respectively used for slack generation units for satisfying electrical and thermal loads. In order to reduce the penalty factors in the optimization model, we addressed fair and suitable slack variables in the optimization model. In a real power system, energy storage devices could effect optimal operation in short-term planning. The main role of such devices in smart grids is to reduce the operating costs because of their state of charge (SOC) in peak, medium and base loads. Such devices could also handle load and generation uncertainties in the real world. In this model, we implement this feature to handle the uncertainties in the random variable generation sector of optimization algorithm. The proposed method could handle this challenge by discharging the stored energy if the slack unit is unable to satisfy the demanded load and vice versa. In order to evaluate the effectiveness of the proposed method, a benchmark is provided in this paper. The hourly electrical and thermal demands were extracted from DesignBuilder® for a commercial building. The simulation results show that the presented method is both satisfactory and consistent with expectations.
Rocznik
Strony
287--295
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
  • Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
autor
  • Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
autor
  • Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Bibliografia
  • [1] A. Parisio, C. Del Vecchio, G. Velotto, Robust optimization of operations in energy hub, in: Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on, IEEE, 2011, pp. 4943–4948.
  • [2] F. Brahman, M. Honarmand, S. Jadid, Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system, Energy and Buildings 90 (2015) 65–75.
  • [3] M. Geidl, G. Koeppel, P. Favre-Perrod, B. Klockl, G. Andersson, K. Frohlich, Energy hubs for the future, IEEE power and energy magazine 5 (1) (2007) 24–30.
  • [4] M. Geidl, Integrated modeling and optimization of multi-carrier energy systems, Tech. rep., ETH Zurikh: Power Systems Laboratory (2007).
  • [5] A. Parisio, C. Del Vecchio, A. Vaccaro, A robust optimization approach to energy hub management, International Journal of Electrical Power & Energy Systems 42 (1) (2012) 98–104.
  • [6] G. Chicco, P. Mancarella, Distributed multi-generation: A comprehensive view, Renewable and Sustainable Energy Reviews 13 (3) (2009) 535–551.
  • [7] G. Anders, A. Vaccaro, Innovations in power systems reliability, Springer series in reliability engineering 16.
  • [8] T. Krause, G. Andersson, K. Frohlich, A. Vaccaro, Multiple-energy carriers: modeling of production, delivery, and consumption, Proceedings of the IEEE 99 (1) (2011) 15–27.
  • [9] M. Geidl, G. Andersson, Optimal coupling of energy infrastructures, in: Power Tech, IEEE, Lausanne, 2007, pp. 1398–1403.
  • [10] A. Hajimiragha, C. Canizares, M. Fowler, M. Geidl, G. Andersson, Optimal energy flow of integrated energy systems with hydrogen economy considerations, in: Bulk Power System Dynamics and Control-VII. Revitalizing Operational Reliability, 2007 iREP Symposium, IEEE, 2007, pp. 1–11.
  • [11] L. Carradore, F. Bignucolo, Distributed multi-generation and application of the energy hub concept in future networks, in: Universities Power Engineering Conference, 2008, pp. 1–5.
  • [12] M. Schulze, L. Friedrich, M. Gautschi, Modeling and optimization of renewables: applying the energy hub approach, in: IEEE international conference on sustainable energy technologies, 2008, pp. 83–88.
  • [13] R. Evins, K. Orehounig, V. Dorer, J. Carmeliet, New formulations of the ‘energy hub’model to address operational constraints, Energy 73 (2014) 387–398.
  • [14] M. La Scala, A. Vaccaro, A. Zobaa, A goal programming methodology for multiobjective optimization of distributed energy hubs operation, Applied Thermal Engineering 71 (2) (2014) 658–666.
  • [15] J. Carpentier, A. Merlin, Optimization methods in planning and operation, International Journal of Electrical Power & Energy Systems 4 (1) (1982) 11–18.
  • [16] F. Kienzle, P. Ahcin, G. Andersson, Valuing investments in multi-energy conversion, storage, and demand-side management systems under uncertainty, IEEE Transactions on sustainable energy 2 (2) (2011) 194–202.
  • [17] M. Rastegar, M. Fotuhi-Firuzabad, M. Lehtonen, Home load management in a residential energy hub, Electric Power Systems Research 119 (2015) 322–328.
  • [18] M. Javadi, A. E. Nezhad, S. Sabramooz, Economic heat and power dispatch in modern power system harmony search algorithm versus analytical solution, Scientia Iranica 19 (6) (2012) 1820–1828.
  • [19] A. V. Borre, Definition of heat pumps and their use of renewable energy sources, REHVA Journal (2011) 38–39.
  • [20] D. Mileni´c, P. Vasiljevi´c, A. Vranješ, Criteria for use of groundwater as renewable energy source in geothermal heat pump systems for building heating/cooling purposes, Energy and Buildings 42 (5) (2010) 649–657.
  • [21] F. Madonna, F. Bazzocchi, Annual performances of reversible air-towater heat pumps in small residential buildings, Energy and Buildings 65 (2013) 299–309.
  • [22] N. Zhu, P. Hu, L. Xu, Z. Jiang, F. Lei, Recent research and applications of ground source heat pump integrated with thermal energy storage systems: A review, Applied thermal engineering 71 (1) (2014) 142–151.
  • [23] M. Moradi-Dalvand, B. Mohammadi-Ivatloo, M. F. Ghazvini, Short-term scheduling of microgrid with renewable sources and combined heat and power, Smart microgrids, new advances, Challenges and Opportunities in the actual Power systems.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8496ed95-cc83-41dd-a9b9-9ac627c2869a
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.