- Multi-Objective Optimal Planning for Designing Relief Delivery Systems

2016 ◽  
pp. 186-205 ◽  
Keyword(s):  
Delivery Systems ◽  
Optimal Planning ◽  
Multi Objective

Multi-Objective Optimal Planning Design Method for Stand-Alone Microgrid Systems

2013 ◽  
Vol 448-453 ◽  
pp. 2654-2659
Author(s):  
Lei Qiao ◽  
Li Guo ◽  
Chu Ning Luo
Keyword(s):  
Distributed Generation ◽  
Optimal Allocation ◽  
Design Method ◽  
Control Strategies ◽  
Pollutant Emission ◽  
Design System ◽  
Optimal Planning ◽  
Operational Strategies ◽  
Multi Objective ◽  
Diesel Generators

In this paper, a multi-objective optimal planning design model including net cost, loss of capacity and pollutant emission in a life cycle was presented for a stand-alone microgrid system with diesel generators, wind turbine generators, photovoltaic generation and lead-acid battery. In this model, the two coordinated operational strategies between diesel generators and battery, the dispatching method for diesel generators, and the reserve capacity were considered. The type and capacity of distributed generation units were selected as the optimal variables. The optimal allocation of distributed generation units and battery for an island microgrid system was carried out under the different combination objectives and control strategies by the self-developed software (Planning Design System for Microgrid, PDMG).

A Multi-Objective Optimal Design of Thermal Distribution Systems

1984 ◽  
Vol 106 (2) ◽  
pp. 142-147 ◽  
Author(s):  
K. Ito ◽  
S. Akagi ◽  
M. Ohta
Keyword(s):  
Distribution Systems ◽  
Numerical Study ◽  
Gradient Algorithm ◽  
Planning System ◽  
Piping System ◽  
Optimal Planning ◽  
Objective Functions ◽  
Total Size ◽  
Multi Objective ◽  
Thermal Distribution

A multi-objective nonlinear optimal planning method is proposed to design thermal distribution systems used for district heating. The following three objective functions are considered which are conflicting mutually and noncommensurable with one another; that is, 1) to minimize the total size of piping system, 2) to minimize the pump power, and 3) to minimize the total size of heat exchangers. Adopting the weighting method in multi-objective optimization, the abovementioned multi-objective functions are optimized by using the generalized reduced gradient algorithm. A man-machine interactive optimal planning system is developed to determine the optimally preferred solution from the set of Pareto optimal solutions derived by the method mentioned above. The validity and effectiveness of the design method proposed here are ascertained through a numerical study for a thermal distribution system, and it is certified that much worthwhile information can be obtained by the optimal planning system developed in this study.

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