Optimal reconfiguration of radial MV networks with load profiles in the presence of renewable energy based decentralized generation

Hemdan, Nasser G. A.; Deppe, Benjamin; Pielke, Magnus; Kurrat, Michael; Schmedes, Tanja; Wieben, Enno

doi:10.1016/j.epsr.2014.07.007

Cited by 23 publications

(20 citation statements)

References 7 publications

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“…Nevertheless, sufficient diversity is essential to explore new solution points in the problem search space. Several researchers have applied a perturbation-based node sensitivity approach to get the node priority list (NPL) for optimal allocation of SCs/DGs, selecting top few nodes from it to reduce the problem search space [2,3,5,6,[8][9][10]17]. However, such approaches are unreliable and may cause erroneous results as the optimal node may not lie in this redefined reduced search space.…”

Section: Isamentioning

confidence: 99%

“…W max /W min = maximum/minimum value of inertia weight Q C / P DG = discrete dispatch of shunt capacitor/distributed generator (kVAR/kW) λ = node voltage deviation penalty factor j = closed loop at jth load level distribution systems [2]. Future distribution networks with the high penetration of DG power have to be planned and operated to improve their efficiency [3]. Thus, optimal allocation of DERs is one of the most important and challenging tasks toward realizing the objectives of smart grids.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Allocation of Distributed Energy Resources Using Improved Meta-heuristic Techniques

Kanwar

Gupta

Niazi

et al. 2016

Electric Power Components and Systems

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Section: Isamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Distributed Energy Resources Using Improved Meta-heuristic Techniques

Kanwar

Gupta

Niazi

et al. 2016

Electric Power Components and Systems

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“…It has been studied in order to achieve different objectives such as service restoration, loss reduction, load balancing, and voltage profiles improvement [1]. This work is an extension of our work which has been published in [2]. In this paper, the implications of the optimal reconfiguration of the distribution network on the voltage profiles, line loading, and OL TC operation are investigated.…”

Section: Introductionmentioning

confidence: 99%

Switching state optimization influences on active distribution systems operation

Hemdan

Kurrat

Deppe³

et al. 2015

2015 IEEE Eindhoven PowerTech

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In the current work the implications of distribution networks reconfiguration on the system operation were investigated. Different technical issues such as voltage profiles, line loading, and On-Load Tap Changer (OLTC) were tested through the switching state optimization of the network. The simulations were conducted based on load and renewable energy based generation profiles. Different day types in different seasons were simulated. A comparison between switching optimization of the network one time per day and hourly switching was also performed. The results show that the voltage profiles will be improved. Moreover, the bottlenecks in the lines can be released. Optimization of the switching state for one time per day can be better than switching in an hourly scheme. IndexTerms-Active distribution networks, system reconfiguration, voltage profiles, reserve capacity, OLTC I.

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“…Hemdan et al analyzed the growing behavior of DG in distribution power grids in Germany in [22]. A real feeder network, provided by local utility VDEW (Verband der Elektrizitätswirtchaft), is studied to reduce the annual energy losses in the presence of DGs.…”

Section: Tabu Search (Ts)mentioning

confidence: 99%

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

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Distribution network reconfiguration (DNR) continues to be a good option to reduce technical losses in a distribution power grid. However, this non-linear combinatorial problem is not easy to assess by exact methods when solving for large distribution networks, which requires large computational times. For solving this type of problem, some researchers prefer to use metaheuristic techniques due to convergence speed, near-optimal solutions, and simple programming. Some literature reviews specialize in topics concerning the optimization of power network reconfiguration and try to cover most techniques. Nevertheless, this does not allow detailing properly the use of each technique, which is important to identify the trend. The contributions of this paper are three-fold. First, it presents the objective functions and constraints used in DNR with the most used metaheuristics. Second, it reviews the most important techniques such as particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO), immune algorithms (IA), and tabu search (TS). Finally, this paper presents the trend of each technique from 2011 to 2016. This paper will be useful for researchers interested in knowing the advances of recent approaches in these metaheuristics applied to DNR in order to continue developing new best algorithms and improving solutions for the topic.

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Optimal reconfiguration of radial MV networks with load profiles in the presence of renewable energy based decentralized generation

Cited by 23 publications

References 7 publications

Optimal Allocation of Distributed Energy Resources Using Improved Meta-heuristic Techniques

Optimal Allocation of Distributed Energy Resources Using Improved Meta-heuristic Techniques

Switching state optimization influences on active distribution systems operation

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

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