Description: 基于改进免疫遗传算法的配电网重构，该文章系统的讲解了运用改进免疫遗传算法对配电网重构，并有详细的程序设计步骤，对相关领域的研究者有一定的参考价值-Immune genetic algorithm based on improved distribution network reconfiguration, the article explains the use of the system to improve the immune genetic algorithm for distribution network reconfiguration, and detailed design steps of the procedure, researchers in related fields with some reference value
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Size: 965632 |
Author:王元元 |
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Description: A Fast Algorithm for Generation of Forests:
Application to Distribution System Reconfiguration Platform: |
Size: 616448 |
Author:meysam |
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Description: 结合多智能体的学习、协调策略及粒子群算法，提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构，在多智能体系统中，每一个粒子作为一个智能体，通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生，提高了算法效率。实验结果表明，该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology，coordinating strategies with P$O，a Multi-Agent Particle Swarm Optimization(MA-PSO)algorithm is presented to handle distribution network reconfiguration problem．It applies Von Neuman architecture
of Particle Swarm Optimization algorithm to the composition of multi-agent system．An agent in MA-PSO
represents a particle to PSO and a candidate solution to the optimization problem．In order to decrease fitness value quickly，agents compete and cooper-ate with their agent of neighboring area．Making use of these agent—agent interactions，MA—PSO realizes the purpose of
minimizing
the value of objective function．The rules of particle renovating reduce unfeasible solution in the process
of particle renovating，which raises the algorithm efficiency satty．The experiment results indicate the
prominent efficiency and significant global optima searching performance of MS—PSO． Platform: |
Size: 515072 |
Author:yirufang |
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Description: Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation Platform: |
Size: 1685504 |
Author:tahomatab |
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Description: This paper presents a new method to solve the network
reconfiguration problem in the presence of distributed generation
(DG) with an objective of minimizing real power loss and
improving voltage profile in distribution system. A meta heuristic
Harmony Search Algorithm (HSA) is used to simultaneously reconfigure
and identify the optimal locations for installation of DG
units in a distribution network. Sensitivity analysis is used to identify
optimal locations for installation of DG units. Different scenarios
of DG placement and reconfiguration of network are considered
to study the performance of the proposed method. The
constraints of voltage and branch current carrying capacity are
included in the uation of the objective function. The method
has been tested on 33-bus and 69-bus radial distribution systems
at three different load levels to demonstrate the performance and
effectiveness of the proposed method. The results obtained are encouraging.-This paper presents a new method to solve the network
reconfiguration problem in the presence of distributed generation
(DG) with an objective of minimizing real power loss and
improving voltage profile in distribution system. A meta heuristic
Harmony Search Algorithm (HSA) is used to simultaneously reconfigure
and identify the optimal locations for installation of DG
units in a distribution network. Sensitivity analysis is used to identify
optimal locations for installation of DG units. Different scenarios
of DG placement and reconfiguration of network are considered
to study the performance of the proposed method. The
constraints of voltage and branch current carrying capacity are
included in the uation of the objective function. The method
has been tested on 33-bus and 69-bus radial distribution systems
at three different load levels to demonstrate the performance and
effectiveness of the proposed method. The results obtained are encouraging. Platform: |
Size: 29696 |
Author:hari |
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Description: Power distribution systems have tie and sectionalizing switches whose states
determine the configuration of the network. Reconfiguration of distribution network
is achieved through switching operation switches of distribution network branches.
Power companies are interested in finding the most efficient configuration for
minimization of real power losses and load balancing among distribution feeders to
save the energy and enhance the operation performance of distribution system.
The objective of this thesis is to show that the ant colony optimization
algorithm can be used successfully in the reconfiguration of electrical distribution
networks to minimize the power losses of the system and to balance the loading of the
feeders. This work is to provide a basis for power companies to use it in the
reconfiguration of the distribution networks to reduce the operational costs and to
enhance the performance of their networks.-Power distribution systems have tie and sectionalizing switches whose states
determine the configuration of the network. Reconfiguration of distribution network
is achieved through switching operation on switches of distribution network branches.
Power companies are interested in finding the most efficient configuration for
minimization of real power losses and load balancing among distribution feeders to
save the energy and enhance the operation performance of distribution system.
The objective of this thesis is to show that the ant colony optimization
algorithm can be used successfully in the reconfiguration of electrical distribution
networks to minimize the power losses of the system and to balance the loading of the
feeders. This work is to provide a basis for power companies to use it in the
reconfiguration of the distribution networks to reduce the operational costs and to
enhance the performance of their networks. Platform: |
Size: 1240064 |
Author:ali |
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Description: Different types of distributed generation (DG) are
broadly used and optimally placed in a distribution system to
improve its performance. Since the network configuration affects
the system operational conditions, the network reconfiguration
and DG placement should be manipulated simultaneously. Nevertheless, the complexity of the problem may prevent achieving
the optimal solution. This paper presents a novel hybrid method of
metaheuristic and heuristic algorithms, in order to boost robustness and shorten the computational runtime to achieve network
minimum loss configuration in the presence of DGs. -Different types of distributed generation (DG) are
broadly used and optimally placed in a distribution system to
improve its performance. Since the network configuration affects
the system operational conditions, the network reconfiguration
and DG placement should be manipulated simultaneously. Nevertheless, the complexity of the problem may prevent achieving
the optimal solution. This paper presents a novel hybrid method of
metaheuristic and heuristic algorithms, in order to boost robustness and shorten the computational runtime to achieve network
minimum loss configuration in the presence of DGs. Platform: |
Size: 766976 |
Author:maryam_sadeghi |
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Description: SMART DISTRIBUTION SYSTEM AUTOMATION:
NETWORK RECONFIGURATION AND ENERGY
MANAGEMENT
Smart distribution system automation is the key to realizing a highly reconfigurable,
reliable, flexible and active distribution system. Automated network reconfiguration
including restoration is the most studied area in distribution automation, and it
contributes to power loss minimization, voltage improvement and also can enable the
distribution network to respond to contingencies and changes happened in the grid.
Distributed energy resources at the customer premises, energy storage systems and plugin electric vehicles are indispensable parts of future smart distribution systems Platform: |
Size: 3035136 |
Author:maryam_sadeghi |
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Description: This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the uation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging. (2014-11-17 Platform: |
Size: 58368 |
Author:salameh |
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Description: 配电网网络重构是配电系统极为重要的优化手段.以配电网网损最低为目标函数,结合约束条件确定配电网静态重构的数学模型,提出基于环路编码、分环替代的策略对配电网重构问题进行求解,最后结合IEEE-33节点算例,证明提出的算法,在降低搜索空间,提高寻优成功率和增加寻优效率上都有突出表现.(Distribution network reconfiguration is a very important means of optimization in distribution system. Taking the minimum loss of distribution network as the objective function and combining constraints to determine the mathematical model of distribution network static reconfiguration, a strategy based on loop coding and loop replacement is proposed to solve the problem of distribution network reconfiguration. Finally, combined with IEEE-33 node example, the algorithm is proved to reduce the search space and improve the success rate of optimization. It has outstanding performance in increasing the efficiency of optimization.) Platform: |
Size: 513024 |
Author:东北大成子 |
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Search - distribution system reconfiguration