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A decomposed solution to multiple-energy carriers optimal power flow

Moeini-Aghtaie, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/TPWRS.2013.2283259
  3. Abstract:
  4. Presence of energy hubs in the future vision of energy networks creates a great opportunity for system planners and operators to move towards more efficient systems. The role of energy hubs as the intermediate in multi-carrier energy (MCE) systems calls for a generic framework to study the new upcoming technical as well as economical effects on the system performance. In response, this paper attempts to develop a general optimization and modeling framework for coupled power flow studies on different energy infrastructures. This, as a large-scale nonlinear problem, is approached through a robust optimization technique, i.e., multi-agent genetic algorithm (MAGA). The proposed procedure decomposes the multi-carrier optimal power flow (MCOPF) problem into its traditional separate OPF problem in such a way that the major advantages of simultaneous analysis of MCE systems would not be sacrificed. The presented scheme is then applied to an 11-hubs test system and introduces its expected applicability and robustness in the MCE systems analysis
  5. Keywords:
  6. Energy hubs ; Multi-agent genetic algorithm (MAGA) ; Multi-carrier optimal power flow (MCOPF) ; Economical effects ; Energy infrastructures ; General optimizations ; Optimal power flows ; Robust optimization ; Simultaneous analysis ; Acoustic generators ; Electric load flow ; Optimization ; Systems analysis ; Genetic algorithms
  7. Source: IEEE Transactions on Power Systems ; Vol. 29, issue. 2 , March , 2014 , p. 707-716 ; ISSN: 8858950
  8. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6626352