Optimal network configuration considering network losses and service reliability

2017 ◽  
Author(s):  
Sina Gharebaghi ◽  
Milad Izadi ◽  
Amir Safdarian
Keyword(s):  
Service Reliability ◽  
Network Configuration ◽  
Optimal Network ◽  
Network Losses

Configuring a seismographic network for optimal monitoring of fault lines and multiple sources

1995 ◽  
Vol 85 (6) ◽  
pp. 1847-1857
Author(s):  
David M. Steinberg ◽  
Nitzan Rabinowitz ◽  
Yair Shimshoni ◽  
Daphna Mizrachi
Keyword(s):  
Statistical Theory ◽  
Experimental Design ◽  
Point Source ◽  
High Precision ◽  
Optimality Criterion ◽  
Network Configuration ◽  
Multiple Sources ◽  
Optimal Monitoring ◽  
Optimal Network ◽  
Seismographic Network

Abstract The geometric configuration of a seismographic network has important consequences for the ability to determine hypocenters with high precision. We present a method for optimal configuration when the network must monitor a system of faults. Our optimality criterion is drawn from the statistical theory of experimental design and can be effeciently maximized using an extension of the DETMAX algorithm. Our work generalizes that of Rabinowitz and Steinberg (1990), which treated the problem of optimal network configuration for monitoring a point source.

scholarly journals A Hybrid Evolutionary Approach to Design Off-Grid Electrification Projects with Distributed Generation

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
J. Avilés ◽  
J. C. Mayo-Maldonado ◽  
O. Micheloud
Keyword(s):  
Distributed Generation ◽  
Network Topology ◽  
Optimization Technique ◽  
Optimal Number ◽  
Optimal Placement ◽  
Evolutionary Approach ◽  
Power Losses ◽  
Network Configuration ◽  
Optimal Network ◽  
Particle Swarm Optimization Technique

A hybrid evolutionary approach is proposed to design off-grid electrification projects that require distributed generation (DG). The design of this type of systems can be considered as an NP-Hard combinatorial optimization problem; therefore, due to its complexity, the approach tackles the problem from two fronts: optimal network configuration and optimal placement of DG. The hybrid scheme is based on a particle swarm optimization technique (PSO) and a genetic algorithm (GA) improved with a heuristic mutation operator. The GA-PSO scheme permits finding the optimal network topology, the optimal number, and capacity of the generation units, as well as their best location. Furthermore, the algorithm must design the system under power quality requirements, network radiality, and geographical constraints. The approach uses GPS coordinates as input data and develops a network topology from scratch, driven by overall costs and power losses minimization. Finally, the proposed algorithm is described in detail and real applications are discussed, from which satisfactory results were obtained.

scholarly journals A Novel Enhanced Quantum PSO for Optimal Network Configuration in Heterogeneous Industrial IoT

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sheetal N. Ghorpade ◽  
Marco Zennaro ◽  
Bharat S. Chaudhari ◽  
Rashid A. Saeed ◽  
Hesham Alhumyani ◽  
...  
Keyword(s):  
Network Configuration ◽  
Optimal Network ◽  
Industrial Iot ◽  
Quantum Pso

scholarly journals Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4172 ◽  
Author(s):  
Ibrahim Diaaeldin ◽  
Shady Abdel Aleem ◽  
Ahmed El-Rafei ◽  
Almoataz Abdelaziz ◽  
Ahmed F. Zobaa
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Network Reconfiguration ◽  
Efficient Manner ◽  
Optimal Network ◽  
Network Losses

In this study, we allocated soft open points (SOPs) and distributed generation (DG) units simultaneously with and without network reconfiguration (NR), and investigate the contribution of SOP losses to the total active losses, as well as the effect of increasing the number of SOPs connected to distribution systems under different loading conditions. A recent meta-heuristic optimization algorithm called the discrete-continuous hyper-spherical search algorithm is used to solve the mixed-integer nonlinear problem of SOPs and DGs allocation, along with new NR methodology to obtain radial configurations in an efficient manner without the possibility of getting trapped in local minima. Further, multi-scenario studies are conducted on an IEEE 33-node balanced benchmark distribution system and an 83-node balanced distribution system from a power company in Taiwan. The contributions of SOP losses to the total active losses, as well as the effect of increasing the number of SOPs connected to the system, are investigated to determine the real benefits gained from their allocation. It was clear from the results obtained that simultaneous NR, SOP, and DG allocation into a distribution system creates a hybrid configuration that merges the benefits offered by radial distribution systems and mitigates drawbacks related to losses, power quality, and voltage violations, while offering a far more efficient and optimal network operation. Also, it was found that the contribution of the internal loss of SOPs to the total loss for different numbers of installed SOPs is not dependent on the number of SOPs and that loss minimization is not always guaranteed by installing more SOPs or DGs along with NR. One of the findings of the paper demonstrates that NR with optimizing tie-lines could reduce active losses considerably. The results obtained also validate, with proper justifications, that SOPs installed for the management of constraints in LV feeders could further reduce losses and efficiently address issues related to voltage violations and network losses.

Determinants of the Optimal Network Configuration and the Implications forCoordination

2012 ◽  
Vol 2012 (1) ◽  
pp. 12291
Author(s):  
Patricia Deflorin ◽  
Helmut Dietl ◽  
Markus Lang ◽  
Eric Lucas
Keyword(s):  
Network Configuration ◽  
Optimal Network

scholarly journals Optimal electric distribution network configuration using adaptive sunflower optimization

2021 ◽  
Vol 10 (4) ◽  
pp. 1777-1784
Author(s):  
Thuan Thanh Nguyen ◽  
Ngoc Thiem Nguyen ◽  
Trung Dung Nguyen
Keyword(s):  
Distribution System ◽  
Power Loss ◽  
Network Reconfiguration ◽  
Network Configuration ◽  
Solution Quality ◽  
Electric Distribution Network ◽  
Optimal Network ◽  
Comparison Results ◽  
Power Loss Reduction ◽  
Powerful Approach

Network reconfiguration (NR) is a powerful approach for power loss reduction in the distribution system. This paper presents a method of network reconfiguration using adaptive sunflower optimization (ASFO) to minimize power loss of the distribution system. ASFO is developed based on the original sunflower optimization (SFO) that is inspired from moving of sunflower to the sun. In ASFO, the mechanisms including pollination, survival and mortality mechanisms have been adjusted compared to the original SFO to fit with the network reconfiguration problem. The numerical results on the 14-node and 33-node systems have shown that ASFO outperforms to SFO for finding the optimal network configuration with greater success rate and better obtained solution quality. The comparison results with other previous approaches also indicate that ASFO has better performance than other methods in term of optimal network configuration. Thus, ASFO is a powerful method for the NR.

scholarly journals Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation

2019 ◽  
Author(s):  
Ibrahim M. Diaaeldin ◽  
Shady H. E. Abdel Aleem ◽  
Ahmed El-Rafei ◽  
Almoataz Y. Abdelaziz ◽  
Ahmed F. Zobaa
Keyword(s):  
Distribution Systems ◽  
Search Algorithm ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Total Power ◽  
Network Reconfiguration ◽  
Distributed Generators ◽  
Optimal Network ◽  
Balanced Distribution ◽  
Network Losses

In this paper, a recent meta-heuristic optimization algorithm called the discrete-continuous hyper-spherical search algorithm is used to solve the mixed-integer nonlinear problem of soft open points (SOPs) and renewable distributed generators allocation along with new network reconfiguration methodology under different loading conditions to minimize the total power loss in balanced distribution systems. Multi-scenario studies, which aim to improve the investigation of the overall performance of the strategies, are conducted on IEEE 33-node and 83-node balanced distribution systems. The contributions of SOP losses to the total active losses, as well as the effect of increasing the number of SOPs connected to the system, are investigated to determine the real benefits gained from their allocation. The results obtained validate, with proper justifications, the effectiveness of allocating both SOPs and renewable distributed generators with the proposed network reconfiguration methodology to provide the best operation of distribution networks with minimum losses and enhanced power quality performance. It was also shown that SOPs successfully assist the growing integration plans of the renewable distributed generators units and can address issues related to voltage violations and network losses efficiently.

scholarly journals Determinants of the Optimal Network Configuration and the Implications for Coordination

2011 ◽  
Author(s):  
Patricia Deflorin ◽  
Helmut M. Dietl ◽  
Markus Lang ◽  
Eric Lucas
Keyword(s):  
Network Configuration ◽  
Optimal Network
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