scholarly journals Assessment of Distributed Generation Source Impact on Electrical Distribution System Performance

2010 ◽  
Vol 10 (2) ◽  
pp. 135-140 ◽  
Author(s):  
S. MANJUNATHA ◽  
K. V. PANDURANGA
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
System Performance ◽  
Electrical Distribution

The Impact of Synchronous Distributed Generation (DG) on Distribution System

2015 ◽  
Vol 785 ◽  
pp. 388-392 ◽  
Author(s):  
Hasmaini Mohamad ◽  
Shahrani Shahbudin ◽  
Nofri Yenita Dahlan
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
System Performance ◽  
Power Flow ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Voltage Profile ◽  
Before And After ◽  
Potential Benefits ◽  
The Impact

Interconnection of Distributed Generation (DG) in distribution system presents many potential benefits as well as drawbacks. The impacts of DG might vary with the types of generator. This paper presents a study on the impacts of synchronous DG's interconnection in distribution system. Steady state analysis is carried out to analyze the impact of DG on voltage profile and short circuit current considering before and after DG interconnection. Dynamic analysis is also performed for investigating the performance of DG when a part of distribution system is being islanded. Results show that the penetration of DG contributes to the changes of power flow in the system, hence give impacts to the overall system performance.

scholarly journals Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping Algorithm

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 553 ◽  
Author(s):  
Arun Onlam ◽  
Daranpob Yodphet ◽  
Rongrit Chatthaworn ◽  
Chayada Surawanitkun ◽  
Apirat Siritaratiwat ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Network Reconfiguration ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
Electrical Distribution ◽  
Power Loss Reduction

This paper proposes a novel adaptive optimization algorithm to solve the network reconfiguration and distributed generation (DG) placement problems with objective functions including power loss minimization and voltage stability index (VSI) improvement. The proposed technique called Adaptive Shuffled Frogs Leaping Algorithm (ASFLA) was performed for solving network reconfiguration and DG installation in IEEE 33- and 69-bus distribution systems with seven different scenarios. The performance of ASFLA was compared to that of other algorithms such as Fireworks Algorithm (FWA), Adaptive Cuckoo Search Algorithm (ACSA) and Shuffled Frogs Leaping Algorithm (SFLA). It was found that the power loss and VSI provided by ASFLA were better than those given by FWA, ACSA and SFLA in both 33- and 69-bus systems. The best solution of power loss reduction and VSI improvement of both 33- and 69-bus systems was achieved when the network reconfiguration with optimal sizing and the location DG were simultaneously implemented. From our analysis, it was indicated that the ASFLA could provide better solutions than other methods since the generating process, local and global searching of this algorithm were significantly improved from a conventional method. Hence, the ASFLA becomes another effective algorithm for solving network reconfiguration and DG placement problems in electrical distribution systems.

scholarly journals Optimal Parameters of Volt–Var Function in Smart Inverters for Improving System Performance

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2294 ◽  
Author(s):  
Hyeong-Jin Lee ◽  
Kwang-Hoon Yoon ◽  
Joong-Woo Shin ◽  
Jae-Chul Kim ◽  
Sung-Min Cho
Keyword(s):  
South Korea ◽  
Distributed Generation ◽  
Distribution System ◽  
System Performance ◽  
Reactive Power ◽  
Test Model ◽  
Voltage Deviation ◽  
Time Series Simulation ◽  
Smart Inverters ◽  
Deviation Problem

This paper proposes a method to improve the performance of a distribution system by optimizing volt–var function of a smart inverter to alleviate the voltage deviation problem due to distributed generation connection. In order to minimize voltage deviation and line losses which represent the performance of a distribution system, this paper proposes an algorithm that optimally sets the parameters of the volt–var function. In the process of optimizing the parameters of the volt–var function, the algorithm proposed in this paper considers minimizing the contribution of the reactive power in order not to affect the output of the distributed generation. In order to apply to the field, the distribution system in South Korea considering the configuration and operation regulation was selected as a test model for algorithm verification. As a result, the system performance was successfully improved by optimally setting the volt–var function of the smart inverter which is an effective way to solve the over-voltage problem caused by distributed generation connection. This paper verified the proposed method through OpenDSS, a quasi-static time-series simulation, for the test model considering the characteristics of the distribution system in South Korea.

scholarly journals OPTIMASI PENENTUAN LOKASI DAN KELUARAN DAYA AKTIF PEMBANGKIT KECIL TERSEBAR METODE ALGORITMA GENETIKA STANDAR PADA PENYULANG 1 SISTEM DISTRIBUSI 20 KV TARAKAN

2018 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Achmad Budiman
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Power Output ◽  
Distribution System ◽  
Active Power ◽  
Electrical Distribution ◽  
Genetic Algorithm Method ◽  
Standard Genetic Algorithm

Abstract - The use of distributed generation (DG) at Feeder I Tarakan Distribution System 20 kV aims to meet the needs of consumer electricity, but it is expected to reduce the loss of power on the network. Therefore, optimization is needed in determining the location and output of DG’s active power. The standard genetic algorithm method is used in the determination of the location and output of active power for 3 units of each 250 kW capacity in Feeder I Tarakan Distribution System 20 kV. The optimized results were achieved for optimal locations on 22,28, 47 buses with each 196, 192, 200 kW active power output and 37.73 % or 17,000 Watt network loss. Keywords: standard genetic algorithm, electrical distribution system, distributed generation  Intisari - Pemanfaatan pembangkit kecil tersebar (PKT) pada Penyulang I Sistem Distribusi Listrik Tarakan 20 kV bertujuan untuk pemenuhan kebutuhan listrik konsumen dan diharapkan dapat meminimalkan rugi daya pada jaringan. Untuk itu diperlukan optimasi dalam menentukan lokasi dan keluaran daya aktif PKT. Metode algoritma genetika standar digunakan dalam penentuan lokasi dan keluaran daya aktif untuk 3 Unit PKT kapasitas masing-masing 250 kW pada Penyulang I Sistem Distribusi 20  KV Tarakan. Hasil optimasi yang dicapai untuk lokasi optimal pada bus 22, 28, 47 dengan masing-masing keluaran daya aktif 196, 192, 200 kW dan penurunan rugi daya jaringan sebesar 37,73 % atau 17.000 Watt. Kata Kunci : algoritma genetika standar, sistem distribusi listrik, pembangkit kecil tersebar

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