2015
DOI: 10.1109/tpwrd.2014.2365491
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Optimal Design of Multicarrier Energy Systems Considering Reliability Constraints

Abstract: An energy hub, which receives, converts, stores and delivers different energy carriers by means of variety of energy converters and/or storage elements, is one of the most important concepts in multi-carrier energy systems. For cost-effective and reliable supply of energy to loads in multi-carrier energy systems, the problem of selecting different components forming the hub (referred to as hub design) and their operation is of great importance. In this paper, a comprehensive linearized model for optimal design… Show more

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Cited by 130 publications
(53 citation statements)
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“…Considering the final energy price for the responsive loads, the elasticity matrix that indicates the load-change percentage in proportion to the price-change percentage, is shown in Equations (15) and (16). The diagonal elements of the mentioned matrix are positive and the other elements are negative, i.e., with the price increase in an hour, the responsive load would decrease at the moment and it would shift a share of its demand to the other hours.…”
Section: Demand Side Management (Dsm) Modelmentioning
confidence: 99%
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“…Considering the final energy price for the responsive loads, the elasticity matrix that indicates the load-change percentage in proportion to the price-change percentage, is shown in Equations (15) and (16). The diagonal elements of the mentioned matrix are positive and the other elements are negative, i.e., with the price increase in an hour, the responsive load would decrease at the moment and it would shift a share of its demand to the other hours.…”
Section: Demand Side Management (Dsm) Modelmentioning
confidence: 99%
“…In order to find the optimal size of CHP and CCHP, a united optimization problem of planning and operation strategy is presented in [36][37][38]. Furthermore, operation and planning is carried out simultaneously in an EH system along with reliability constraints [16]. The work in [39] analyzes a framework to determine the optimal design of three interconnected energy hubs under uncertainty of energy price market.…”
Section: Introductionmentioning
confidence: 99%
“…[27]. A highlevel programming language widely used in the optimization of EH, the general algebraic modeling system (GAMS) [6,10,21,28,29], uses built-in algorithms (solvers) [30]. Therefore, this study uses language GAMS in order to solve the optimal operational problem of EH, based on the energy cost to supply residential area loads.…”
Section: Introductionmentioning
confidence: 99%
“…There have also been studies on energy hubs that can integrate multiple forms of energy such as, gas, heat, and electricity [13]. The method discussed in [14] was used to design an energy hub comprising CHP units and other thermal and electrical resources considering reliability constraints. In contrast, an optimal operation strategy in multiple energy hub systems considered the efficiency of energy conversion and the price of electricity [15].…”
Section: Introductionmentioning
confidence: 99%
“…A notable feature of the expansion planning method proposed in [21] was the consideration of CHP units and boilers in a district energy system to provide heat and electricity. Expansion planning methods were also proposed in [14,22] to determine the requisite size of energy hub facilities, including CHP units, boilers, and energy storage resources. However, these methods rarely consider resources other than those detailed above.…”
Section: Introductionmentioning
confidence: 99%