scholarly journals Optimal Reconfiguration of Power Distribution Systems Based on Symbiotic Organism Search Algorithm

2017 ◽  
Vol 05 (11) ◽  
pp. 1-9 ◽  
Author(s):  
Alexandre Teplaira Boum ◽  
Patrik Roger Ndjependa ◽  
Jacquie Ngo Bisse
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Power Distribution Systems ◽  
Optimal Reconfiguration ◽  
Symbiotic Organism Search

scholarly journals Coordinated Voltage Regulation by On-Load Tap Changer Operation and Demand Response Based on Voltage Ranking Search Algorithm

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1902 ◽  
Author(s):  
Qiangqiang Xie ◽  
Xiangrong Shentu ◽  
Xusheng Wu ◽  
Yi Ding ◽  
Yongzhu Hua ◽  
...  
Keyword(s):  
Demand Response ◽  
Power Distribution ◽  
Power Flow ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Voltage Regulation ◽  
Voltage Sensitivity ◽  
Power Distribution Systems ◽  
Pv Systems ◽  
Flexible Resources

The growing penetration of photovoltaic (PV) systems may cause an over-voltage problem in power distribution systems. Meanwhile, charging of massive electric vehicles may cause an under-voltage problem. The over- and under-voltage problems make the voltage regulation become more challenging in future power distribution systems. Due to the development of smart grid and demand response, flexible resources such as PV inverters and controllable loads can be utilized for voltage regulation in distribution systems. However, the voltage regulation needs to calculate the nonlinear power flow; as a result, utilizing flexible resources for voltage regulation is a nonlinear scheduling problem requiring heavy computational resources. This study proposes an intelligent search algorithm called voltage ranking search algorithm (VRSA) to solve the optimization of flexible resource scheduling for voltage regulation. The VRSA is built based on the features of radial power distribution systems. A numerical simulation test is carried out on typical power distribution systems. The VRSA is compared with the genetic algorithm and voltage sensitivity method. The results show that the VRSA has the best optimization effect among the three algorithms. By utilizing flexible resources through demand response, the tap operation times of on-load tap changers can be reduced.

scholarly journals Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

Energies ◽  
2013 ◽  
Vol 6 (3) ◽  
pp. 1439-1455 ◽  
Author(s):  
Bogdan Tomoiagă ◽  
Mircea Chindriş ◽  
Andreas Sumper ◽  
Antoni Sudria-Andreu ◽  
Roberto Villafafila-Robles
Keyword(s):  
Genetic Algorithm ◽  
Power Distribution ◽  
Distribution Systems ◽  
Pareto Optimal ◽  
Power Distribution Systems ◽  
Nsga Ii ◽  
Optimal Reconfiguration

Robust Design of Power Distribution Systems Using an Enhanced Multi-Objective Genetic Algorithm

2010 ◽  
Vol 1 (2) ◽  
pp. 92-112 ◽  
Author(s):  
Cristiane G. Taroco ◽  
Eduardo G. Carrano ◽  
Oriane M. Neto
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Efficient Solutions ◽  
Optimization Techniques ◽  
Power Distribution Systems ◽  
Nsga Ii ◽  
Robust Solutions ◽  
Multi Objective Genetic Algorithm ◽  
Reliability And Robustness

The growing importance of electric distribution systems justifies new investments in their expansion and evolution. It is well known in the literature that optimization techniques can provide better allocation of the financial resources available for such a task, reducing total installation costs and power losses. In this work, the NSGA-II algorithm is used for obtaining a set of efficient solutions with regard to three objective functions, that is cost, reliability, and robustness. Initially, a most likely load scenario is considered for simulation. Next, the performances of the solutions achieved by the NSGA-II are evaluated under different load scenarios, which are generated by means of Monte Carlo Simulations. A Multiobjective Sensitivity Analysis is performed for selecting the most robust solutions. Finally, those solutions are submitted to a local search algorithm to estimate a Pareto set composed of just robust solutions only.

scholarly journals Optimal Reconfiguration in Distribution Systems with Distributed Generations Based on Modified Sequential Switch Opening and Exchange

2021 ◽  
Vol 11 (5) ◽  
pp. 2146
Author(s):  
Vannak Vai ◽  
Sievlong Suk ◽  
Rathana Lorm ◽  
Chhith Chhlonh ◽  
Samphors Eng ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Iteration Process ◽  
Computation Time ◽  
Search Space ◽  
Power Distribution Systems ◽  
Distributed Generations ◽  
Algorithm Comparison ◽  
Optimal Reconfiguration ◽  
Adaptive Solution

The distribution systems operate radially with meshed topologies thanks to tie-switches and sectionalizing switches consisting of the systems. The power distribution systems are undergoing evolutions strongly toward active distribution systems for reliability and quality of service enhancements through reconfiguration. The distributed generations are also one effective solution for the above objectives. A consumption time is one of the considerable issues that many existing methods have not been achieved for reconfiguration purpose. This paper brings an adaptive solution called modified sequential switch opening and exchange (MSSOE), which is carried out with MATLAB and MATPOWER tool, to overcome these issues. The fundamental loop has been proposed for the MSSOE method to reduce search space in the iteration process. In each step of the searching process, MSSOE observes that if any switches within the same loop of the selected tie-switch are deleted to avoid opening those switches in the next iteration. The process of MSSOE is done when the radial topology is given. The proposed method is tested with the standard IEEE 33-bus, IEEE 69-bus, and IEEE 119-bus distribution systems to observe the effectiveness of the MSSOE algorithm. Comparison to existing algorithms in terms of global solution and computation time conclude that the MSSOE is the best method.

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