Structuring of optimal solution space in a certain class of system synthesis. A case study of heat and power supply systems

1984 ◽  
Vol 23 (3) ◽  
pp. 450-456
Author(s):  
Masatoshi Nishio ◽  
Ichiro Koshijima ◽  
Katsuo Shiroko ◽  
Tomio Umeda
2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Kevin Albarado ◽  
Roy Hartfield ◽  
Wade Hurston ◽  
Rhonald Jenkins

A particle swarm/pattern search hybrid optimizer was used to drive a solid rocket motor modeling code to an optimal solution. The solid motor code models tapered motor geometries using analytical burn back methods by slicing the grain into thin sections along the axial direction. Grains with circular perforated stars, wagon wheels, and dog bones can be considered and multiple tapered sections can be constructed. The hybrid approach to optimization is capable of exploring large areas of the solution space through particle swarming, but is also able to climb “hills” of optimality through gradient based pattern searching. A preliminary method for designing tapered internal geometry as well as tapered outer mold-line geometry is presented. A total of four optimization cases were performed. The first two case studies examines designing motors to match a given regressive-progressive-regressive burn profile. The third case study studies designing a neutrally burning right circular perforated grain (utilizing inner and external geometry tapering). The final case study studies designing a linearly regressive burning profile for right circular perforated (tapered) grains.


2017 ◽  
Vol 110 ◽  
pp. 89-94 ◽  
Author(s):  
Lippong Tan ◽  
Abhijit Date ◽  
Bingjie Zhang ◽  
Baljit Singh ◽  
Sayantan Ganguly

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 849 ◽  
Author(s):  
Kyaw Hein ◽  
Xu Yan ◽  
Gary Wilson

To improve the operation efficiency and reduce the emission of a solar power integrated hybrid ferry with shore-to-ship (S2S) power supply, a two-stage multi-objective optimal operation scheduling method is proposed. It aims to optimize the two conflicting objectives, operation cost (fuel cost of diesel generators (DGs), carbon dioxide (CO2) emission tax and S2S power exchange) and energy storage (ES/ESS) degradation cost, based on the preference of the vessel operator and solar photovoltaic (PV) power output. For the day-ahead optimization, interval forecast data of the PV is used to map the solution space of the objectives with different sets of weight assignment. The solution space from the day-ahead optimization is used as a guide to determine the operating point of the hour-ahead optimization. As for the hour-ahead scheduling, more accurate short-lead time forecast data is used for the optimal operation scheduling. A detailed case study is carried out and the result indicates the operation flexibility improvement of the hybrid vessel. The case study also provides more in-depth information on the dispatching scheme and it is especially important if there are conflicting objectives in the optimization model.


2020 ◽  
Vol 20 (3) ◽  
pp. 209-215
Author(s):  
Hyun-Seok Song ◽  
Min-Ho Son ◽  
Sung-Ju Yoo ◽  
Do-Hyun Jung ◽  
Boo-Hee Park

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