2015
DOI: 10.1109/tii.2015.2462316
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Energy Flow Optimization in Multicarrier Systems

Abstract: In this paper, a generalized heuristic approach is proposed to solve the optimal power flow problem in multicarrier energy systems. This technique omits the use of any extra variable such as dispatch factors or dummy variables required for conventional techniques. The unified proposed approach can be utilized with all evolutionary algorithms. Modeling hubdevices with constant efficiency may produce a considerable error in finding the actual optimal operating point of the whole network. However, using variable … Show more

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Cited by 131 publications
(52 citation statements)
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“…Constraint (17) represents the limit on nodal gas balance. Nodal natural gas demand is calculated by constraint (18), including that of the natural gas-fired units (NGUs) and energy hubs. Note that natural gas is measured in volume unit in transmission network and energy unit in terminal EH, the conversion is denoted by γ.…”
Section: Transmission System Constraints Of Interconnected Ehsmentioning
confidence: 99%
“…Constraint (17) represents the limit on nodal gas balance. Nodal natural gas demand is calculated by constraint (18), including that of the natural gas-fired units (NGUs) and energy hubs. Note that natural gas is measured in volume unit in transmission network and energy unit in terminal EH, the conversion is denoted by γ.…”
Section: Transmission System Constraints Of Interconnected Ehsmentioning
confidence: 99%
“…In [15], a self-adaptive learning with time varying acceleration coefficient-gravitational search algorithm was proposed to address multi-objective economic dispatch problem for energy hubs. Moreover, the underlying energy flow optimization [16,17], and the reliability of energy demands [18] and criteria [19] have been further taken into consideration and studied in the energy management problem. It is worth noting that the approaches mentioned above for solving the energy management of energy hubs are implemented centrally.…”
Section: Introductionmentioning
confidence: 99%
“…The second category includes different techniques for energy hub optimally control and operation [10][11][12][13][14][15][16][17][18][19][20][21][22]. In [10] authors modeled and optimized the energy hub as mixed integer linear problem (MILP).…”
Section: Introductionmentioning
confidence: 99%