Department of Defense Materiel Distribution System Study. Volume 3, Book 1. Optimization Model Run Index

1978 ◽  
Author(s):  
DEPARTMENT OF DEFENSE WASHINGTON DC
Keyword(s):  
Department Of Defense ◽  
Optimization Model ◽  
Distribution System ◽  
System Study

scholarly journals Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency

2020 ◽  
Vol 12 (18) ◽  
pp. 7366
Author(s):  
Mohammad Zaher Akkad ◽  
Tamás Bányai
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Supply Chain ◽  
Public Transportation ◽  
Optimization Model ◽  
Distribution System ◽  
Population Increase ◽  
City Logistics ◽  
Operation Strategy ◽  
Scheduling Problems

Urban population increase results in more supply chain operations in these areas, which leads to increased energy consumption and environmental pollution. City logistics represents a strategy of efficient freight transportation and material handling to fulfill customer and business demands. Within the frame of this paper, the authors describe an optimization model of a multi-echelon collection and distribution system, focusing on downtown areas and energy efficiency, sustainability, and emission reduction. After a systematic literature review, this paper introduces a mathematical model of collection and distribution problems, including package delivery, municipal waste collection, home delivery services, and supply of supermarkets and offices. The object of the optimization model is twofold: firstly, to design the optimal structure of the multi-echelon collection and distribution system, including layout planning and the determination of required transportation resources, like e-cars, e-bikes, and the use of public transportation; and secondly, to optimize the operation strategy of the multi-echelon supply chain, including resource allocation and scheduling problems. Next, a heuristic approach is described, whose performance is validated with common benchmark functions, such as metaheuristic evaluation. The scenario analysis demonstrates the application of the described model and shows the optimal layout, resource allocation, and operation strategy focusing on energy efficiency.

Operation Optimization of DC Distribution Network with BSS Based on GA-WDO Hybrid Algorithm

2020 ◽  
Vol 13 (7) ◽  
pp. 1087-1096
Author(s):  
Yang Wang ◽  
Fengyun Chen ◽  
Wen Xiao ◽  
Zhengming Li
Keyword(s):  
Power Generation ◽  
Objective Function ◽  
Optimization Model ◽  
Distribution System ◽  
Distribution Network ◽  
Minimum Variance ◽  
Utilization Rate ◽  
Solar Absorption ◽  
Dc Distribution ◽  
Operation Cost

Background: The high permeability of Distributed Generation (DG) and the development of DC load represented by electric vehicle Battery Swapping Station (BSS) pose new challenges to the reliable and economic operation of DC distribution system. Methods: In order to improve the wind and solar absorption rate and the reliable operation of DC distribution network and coordinate the interests and demands of BSS and DC distribution company, the upper level takes the abandonment rate and the minimum variance of BSS charging and discharging net load as two objective functions, and the lower level takes the minimum operation cost of DC distribution network and BSS as the objective function. Secondly, this paper proposes a method that combines Genetic Algorithm (GA) with Wind-Driven Optimization algorithm (WDO). CPLEX and hybrid GA-WDO are used to solve the upper and lower models, respectively. Results: Finally, an example shows that the proposed optimization model can reduce the operation cost of DC distribution network with BSS and improve the utilization rate of wind and light, which shows the rationality and effectiveness of the optimization model. Conclusion: In this paper, considering the randomness and uncertainty of wind power generation and photovoltaic power generation, this paper establishes the upper objective function with the minimum abandonment rate and load variance and the lower objective function with the minimum operation cost of DC distribution network and BSS operators.

scholarly journals A Sustainability-Oriented Multiobjective Optimization Model for Siting and Sizing Distributed Generation Plants in Distribution Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Guang Chen ◽  
Bin Chen ◽  
Pan Dai ◽  
Hao Zhou
Keyword(s):  
Multiobjective Optimization ◽  
Environmental Sustainability ◽  
Optimization Model ◽  
Distribution System ◽  
Distribution Systems ◽  
Numerical Study ◽  
Economic Cost ◽  
Simulation Method ◽  
Chance Constraints ◽  
Load Flow

This paper proposes a sustainability-oriented multiobjective optimization model for siting and sizing DG plants in distribution systems. Life cycle exergy (LCE) is used as a unified indicator of the entire system’s environmental sustainability, and it is optimized as an objective function in the model. Other two objective functions include economic cost and expected power loss. Chance constraints are used to control the operation risks caused by the uncertain power loads and renewable energies. A semilinearized simulation method is proposed and combined with the Latin hypercube sampling (LHS) method to improve the efficiency of probabilistic load flow (PLF) analysis which is repeatedly performed to verify the chance constraints. A numerical study based on the modified IEEE 33-node system is performed to verify the proposed method. Numerical results show that the proposed semilinearized simulation method reduces about 93.3% of the calculation time of PLF analysis and guarantees satisfying accuracy. The results also indicate that benefits for environmental sustainability of using DG plants can be effectively reflected by the proposed model which helps the planner to make rational decision towards sustainable development of the distribution system.

Optimization model for the Aguas Group drinking water production and main distribution network

2005 ◽  
Vol 5 (3-4) ◽  
pp. 55-61
Author(s):  
F.M. Bianchi ◽  
J.F. Hyde
Keyword(s):  
Drinking Water ◽  
Network Optimization ◽  
Optimization Model ◽  
Distribution System ◽  
Mixed Integer ◽  
Water Production ◽  
Operational Costs ◽  
Drinking Water Production ◽  
Global Optimal ◽  
Chemical Inputs

A model based on mixed-integer network optimization is developed and applied to the Aguas Group drinking water production and main distribution system. The four sanitary companies owned by the group, which supply nearly all Santiago, Chile, with drinking water, possess an intricate network of hydrological sources, water treatment plants, wells, pipelines and elevation plants, providing profuse alternatives to supply their clients. The Production and Main Distribution Optimization Model (MOPYT) searches for the global optimal provision scheme from an operational costs standpoint, specifically electricity, chemical inputs and extra labour expenses. The model provides weekly benchmarks for the diverse productive quarters. It has also been used for budgetary exercises planned for water demand forecasts. MOPYT has been particularly beneficial for generating consensus among complementary operational areas such as production and main distribution, achieving global costs efficiency.

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