One of the salient features of protection system in smart grid is to reconfigure the network automatically with a view to insure power system reliability. This paper introduces a binary particle swarm optimizer (BPSO)...
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ISBN:
(纸本)9781728152899
One of the salient features of protection system in smart grid is to reconfigure the network automatically with a view to insure power system reliability. This paper introduces a binary particle swarm optimizer (BPSO) based procedure for handling the network reconfiguration (NR) problem. Two objectives are taken into consideration;the first strives for reducing the system losses while the second objective function improves the voltage profile. A multi-objective framework is developed to achieve these objectives simultaneously. The proposed procedure seeks about the optimal tie switches positions and provides the minimum number of sectionalizing switches in the branches to reduce the system losses. Depending on distribution feeder operations, the distribution reconfiguration is done as binary arrangement combination of switches. The performance of distribution networks is carried out using MATLAB programming to check the effectiveness of BPSO algorithm. Numerical results are presented to explain the feasibility and the validation of the proposed procedure through the application on three standard systems called 33, 69 and 119 IEEE node systems. The obtained results using the BPSO technique are matched with various methods in the literature to manifest the efficacy of the proposed procedure.
In heterogeneous networks (HetNets), user association is one of the most significant tools to deal with the problem of load balancing or interference mitigation. However, though much work has been down on the design o...
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ISBN:
(纸本)9781632660268
In heterogeneous networks (HetNets), user association is one of the most significant tools to deal with the problem of load balancing or interference mitigation. However, though much work has been down on the design of user association scheme, some important real-world policies are largely ignored and fail to be considered simultaneously. In this paper, we investigate the user association scheme in HetNets with the rules such as traffic capacity constraint, power budget, stable connection guarantee and transmission cost-optimal. Firstly we formulate a multi-objective optimization problem with users of different quality of service (QoS) requirements (constant bit rate requirement (CBR) users and best effort (BE) users). The objectives of the problem are balancing the load distribution of CBR users, maximizing the throughput of BE users and minimizing network transmission cost, respectively. Then we analyze how to optimize the three objectives jointly and employ binary particle swarm optimizer to solve the problem. Extensive simulations are conducted, the results show that our algorithm can lead to significantly better performances than traditional algorithms, i.e., higher balancing index for CBR users, higher throughput for BE users, low transmission cost and more stable link connection.
This paper introduces a novel variation of binaryparticleswarm optimization(BPSO) algorithm and a further extension to improve its ***,mimicking the behaviors of some creatures group,multiple evolutionary strategies...
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This paper introduces a novel variation of binaryparticleswarm optimization(BPSO) algorithm and a further extension to improve its ***,mimicking the behaviors of some creatures group,multiple evolutionary strategies BPSO(MBPSO) is introduced which takes different evolutionary strategies for various particles according to their ***,on the basis of MBPSO,a new strategy is discussed to improve the performance of the MBPSO(M2BPSO) which adopts the concept of the mutation operator aiming to overcome the premature convergence and slow convergent speed during the later stages of the *** proposed two algorithms are tested on seven benchmark functions and their results are compared with those obtained by other *** results show that our methods outperform the other algorithms.
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