This paper addresses the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs. The overall problem is here formalized by a nonlinear constrained multiobjective optimization problem and solved by a goal attainment based methodology. The application of this solution approach allows the analyst to identify the optimal operation state of the distributed energy hubs which ensures an effective and reliable operation of the multicarrier energy network in spite of large variations of load demands and energy prices. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to demonstrate the significance and the validity of the proposed method
A Goal Programming Methodology for Multiobjective Optimization of Distributed Energy Hubs Operation / LA SCALA, Massimo; Vaccaro, A.; Zobaa, A. F.. - In: APPLIED THERMAL ENGINEERING. - ISSN 1359-4311. - 71:2(2014), pp. 658-666. [10.1016/j.applthermaleng.2013.10.031]
A Goal Programming Methodology for Multiobjective Optimization of Distributed Energy Hubs Operation
LA SCALA, Massimo;
2014-01-01
Abstract
This paper addresses the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs. The overall problem is here formalized by a nonlinear constrained multiobjective optimization problem and solved by a goal attainment based methodology. The application of this solution approach allows the analyst to identify the optimal operation state of the distributed energy hubs which ensures an effective and reliable operation of the multicarrier energy network in spite of large variations of load demands and energy prices. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to demonstrate the significance and the validity of the proposed methodI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
