A Green and Robust Optimization Strategy for Energy Saving Against Traffic Uncertainty

2016 ◽  
Vol 34 (5) ◽  
pp. 1405-1416 ◽  
Author(s):  
Ihsen Aziz Ouedraogo ◽  
Eiji Oki
Keyword(s):  
Robust Optimization ◽  
Energy Saving ◽  
Optimization Strategy ◽  
Traffic Uncertainty

Robust optimization strategy for intelligent parking lot of electric vehicles

Energy ◽  
2020 ◽  
Vol 200 ◽  
pp. 117555 ◽  
Author(s):  
Jianwei Guo ◽  
Yongbo Lv ◽  
Han Zhang ◽  
Sayyad Nojavan ◽  
Kittisak Jermsittiparsert
Keyword(s):  
Robust Optimization ◽  
Electric Vehicles ◽  
Optimization Strategy ◽  
Parking Lot

scholarly journals A Robust Optimization Strategy for Domestic Electric Water Heater Load Scheduling under Uncertainties

2017 ◽  
Vol 7 (11) ◽  
pp. 1136 ◽  
Author(s):  
Jidong Wang ◽  
Yingchen Shi ◽  
Kaijie Fang ◽  
Yue Zhou ◽  
Yinqi Li
Keyword(s):  
Robust Optimization ◽  
Optimization Strategy ◽  
Water Heater ◽  
Load Scheduling ◽  
Domestic Electric Water Heater

Primary Research about Energy Consumption Analysis and Optimization Strategy of Office Buildings

2013 ◽  
Vol 724-725 ◽  
pp. 1666-1669
Author(s):  
Hui Fen Zou ◽  
Ying Chao Fei ◽  
Xiao Zhen Cao ◽  
Sheng Ye
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Paper Analysis ◽  
Office Building ◽  
Optimization Strategy ◽  
Primary Research ◽  
Strong Basis ◽  
Reconstruction Scheme ◽  
Energy Consumption Analysis

Based on the energy saving reconstruction of an existing office building in Hangzhou, this paper analysis the building energy consumption through the DEST simulation at the present phase. Then summarize the deficiency and reconstruction of the building, and accordingly we propose a reconstruction scheme for the building which is based on the primary research about the optimization strategy of energy saving. This will provide a strong basis about the energy saving reconstruction direction and the reconstruction emphasis of the office building in hot summer and cold winter area.

Person-Based Optimization of Signal Timing

2017 ◽  
Vol 2620 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Zhengyao Yu ◽  
Vikash V. Gayah ◽  
Eleni Christofa
Keyword(s):  
Robust Optimization ◽  
Signal Timing ◽  
Optimization Approach ◽  
Optimization Strategy ◽  
Passenger Cars ◽  
Case Scenario ◽  
Worst Case ◽  
Arrival Times ◽  
Cycle Lengths ◽  
Traffic Signal Timing

Recent studies have proposed the use of person-based frameworks for the optimization of traffic signal timing to minimize the total passenger delay experienced by passenger cars and buses at signalized intersections. The efficiency and applicability of existing efforts, however, have been limited by an assumption of fixed cycle lengths and deterministic bus arrival times. An existing algorithm for person-based optimization of signal timing for isolated intersections was extended to accommodate flexible cycle lengths and uncertain bus arrival times. To accommodate flexible cycle lengths, the mathematical program was redefined to minimize total passenger delay within a fixed planning horizon that allowed cycle lengths to vary within a feasible range. Two strategies were proposed to accommodate uncertain bus arrival times: ( a) a robust optimization approach that conservatively minimized delays experienced in a worst-case scenario and ( b) a blended strategy that combined deterministic optimization and rule-based green extensions. The proposed strategies were tested with numerical simulations of an intersection in State College, Pennsylvania. Results revealed that the flexible cycle length algorithm could significantly reduce bus passenger delay and total passenger delay, with negligible increases in car passenger delay. These results were robust to changes in both bus and car flows. For bus arrival times, the robust optimization strategy seemed to be more effective at low levels of uncertainty and the blended strategy at higher levels of uncertainty. The anticipated benefits decreased with increases in the intersection flow ratio because of the lower flexibility of signal timing at the intersection.

scholarly journals Adaptive Protection System for Microgrids Based on a Robust Optimization Strategy

Energies ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 308 ◽  
Author(s):  
Oscar Núñez-Mata ◽  
Rodrigo Palma-Behnke ◽  
Felipe Valencia ◽  
Patricio Mendoza-Araya ◽  
Guillermo Jiménez-Estévez
Keyword(s):  
Robust Optimization ◽  
Protection System ◽  
Optimization Strategy ◽  
Adaptive Protection
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