scholarly journals Optimal Allocation of Distributed Generation Based on Adaptive Genetic Algorithm

2017 ◽  
Author(s):  
Bo JIANG ◽  
Liu YANG ◽  
Lei ZHAO ◽  
Qi JIANG
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Optimal Allocation ◽  
Adaptive Genetic Algorithm

scholarly journals Optimal Conductor Size Selection in Distribution Networks with High Penetration of Distributed Generation Using Adaptive Genetic Algorithm

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2065 ◽  
Author(s):  
Zhenghui Zhao ◽  
Joseph Mutale
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Distribution Network ◽  
Distribution Networks ◽  
Adaptive Genetic Algorithm ◽  
Optimization Approach ◽  
Optimization Strategy ◽  
Size Selection ◽  
High Penetration

The widespread deployment of distributed generation (DG) has significantly impacted the planning and operation of current distribution networks. The environmental benefits and the reduced installation cost have been the primary drivers for the investment in large-scale wind farms and photovoltaics (PVs). However, the distribution network operators (DNOs) face the challenge of conductor upgrade and selection problems due to the increasing capacity of DG. In this paper, a hybrid optimization approach is introduced to solve the optimal conductor size selection (CSS) problem in the distribution network with high penetration of DGs. An adaptive genetic algorithm (AGA) is employed as the primary optimization strategy to find the optimal conductor sizes for distribution networks. The aim of the proposed approach is to minimize the sum of life-cycle cost (LCC) of the selected conductor and the total energy procurement cost during the expected operation periods. Alternating current optimal power flow (AC-OPF) analysis is applied as the secondary optimization strategy to capture the economic dispatch (ED) and return the results to the primary optimization process when a certain conductor arrangement is assigned by AGA. The effectiveness of the proposed algorithm for optimal CSS is validated through simulations on modified IEEE 33-bus and IEEE 69-bus distribution systems.

Optimal Allocation of Distributed Generation Minimizing Loss and Voltage Sag Problem-Using Genetic Algorithm

2010 ◽  
Author(s):  
S. Biswas ◽  
S. K. Goswami ◽  
Swapan Paruya ◽  
Samarjit Kar ◽  
Suchismita Roy
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Optimal Allocation ◽  
Voltage Sag

Study on Technique of Tolerance Optimal Allocation Based on Adaptive Genetic Algorithm

2012 ◽  
Vol 490-495 ◽  
pp. 1436-1440
Author(s):  
Yan Ting Ai ◽  
Jing Tian ◽  
Feng Ling Zhang ◽  
Xue Zhai ◽  
Shu Sheng Bai
Keyword(s):  
Genetic Algorithm ◽  
Optimal Allocation ◽  
Cost Minimization ◽  
Tolerance Allocation ◽  
Production Costs ◽  
Adaptive Genetic Algorithm ◽  
Manufacturing Cost ◽  
Crossover Operator ◽  
Individual Fitness ◽  
Rational Allocation

The rational allocation of tolerances is the key to reduce production costs and guarantee the performance. In this paper, in the premise of ensuring the performance, manufacturing cost minimization of assembly parts is set as objective function, and an adaptive genetic algorithm is proposed to optimize the design of tolerance allocation. The adaptive mechanism is introduced mainly for crossover operator and mutation operator to overcome the traditional adaptive genetic algorithm’s easy "premature" shortcomings according to individual fitness of population. And a penalty function is used to handle constraints of assembly dimension chain. Finally, using the algorithm to optimize assembly chain tolerances of a gear reducer shaft, the effectiveness of the adaptive genetic algorithm to optimize tolerance allocation has been verified.

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