Voltage Profile Improvement using DG in Reconfigured Distribution System

Vidyasagar, S.; Vijayakumar, K.; Ramanujam, R.; Sattianadan, D.; Kumar, N.G.V.Satya

doi:10.14257/ijca.2015.8.6.38

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The impact of solar and wind-powered DG on system reliability was not studied. Based on the voltage limitation index (VLI), the authors discuss the placement and size of DG in [17]. This index ensures that all buses in the network have a voltage profile that is acceptable within the distribution's allowed limits.…”

Section: Related Workmentioning

confidence: 99%

Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning

et al. 2022

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Electrical energy is critical to a country’s socioeconomic progress. Distribution system expansion planning addresses the services that must be installed for the distribution networks to meet the expected load need, while also meeting different operational and technical limitations. The incorporation of distributed generation sources (DGs) alters the operating characteristics of modern power systems, resulting in major economic and technical benefits, such as simplified distribution network expansion planning, lower power losses, and improved voltage profile. Thus, in this study, an analytical method is used to design the expansion planning of the Addis North distribution network considering the integration of optimal sizes of distributed generations for the projected demand growths. To evaluate the capability of the existing Addis North distribution network and its capability to supply reliable power considering future expansion, the load demand forecast for the years 2020–2030 is done using the least square method. The performance evaluation of the existing and the upgraded network considering the existing and forecasted load demand for the years 2030 is done using ETAP software. Accordingly, the results revealed that the existing networks cannot meet the existing load demand of the town, with major problems of increased power loss and a reduced voltage profile. To mitigate this problem, the Addis North feeder-1 distribution network is upgraded and for each study case, the balanced and positive sequence load flow analysis was executed and the maximum total real and reactive power losses were found at bus 29. The result shows that the upgraded network of bus 29 was the optimal location of DG and its size was 9.93 MW. After the optimal size of DG was placed at this bus, the real and reactive power losses of the upgraded networks were 0.2939 MW and 0.219 MVAr, respectively. At bus 29 the maximum power losses reduction and voltage profile improvements were found. The active and reactive power losses were minimized by 21.285% and 19.633% respectively and the voltage profiles were improved by 8.78%. Thus, in the predicted year 2030, DG power sources could cover 61.12% of the feeder-1 power requirements.

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Section: Related Workmentioning

confidence: 99%

Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning

et al. 2022

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Minimizing Power Loss in Distribution System by Optimal Sizing and Sitting of Distributed Generators with Network Reconfiguration Using Grey Wolf and Particle Swarm Optimizers

Haggar

Beshr

Eteiba

2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

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A New Hybrid Technique for Minimizing Power Losses in a Distribution System by Optimal Sizing and Siting of Distributed Generators with Network Reconfiguration

2018

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Transformations are taking place within the distribution systems to cope with the congestions and reliability concerns. This paper presents a new technique to efficiently minimize power losses within the distribution system by optimally sizing and placing distributed generators (DGs) while considering network reconfiguration. The proposed technique is a hybridization of two metaheuristic-based algorithms: Grey Wolf Optimizer (GWO) and Particle Swarm Optimizer (PSO), which solve the network reconfiguration problem by optimally installing different DG types (conventional and renewable-based). Case studies carried out showed the proposed hybrid technique outperformed each algorithm operating individually regarding both voltage profile and reduction in system losses. Case studies are carried to measure and compare the performance of the proposed technique on three different works: IEEE 33-bus, IEEE 69-bus radial distribution system, and an actual 78-bus distribution system located at Cairo, Egypt. The integration of renewable energy with the distribution network, such as photovoltaic (PV) arrays, is recommended since Cairo enjoys an excellent actual record of irradiance according to the PV map of Egypt.

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Voltage Profile Improvement using DG in Reconfigured Distribution System

Cited by 3 publications

References 21 publications

Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning

Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning

Minimizing Power Loss in Distribution System by Optimal Sizing and Sitting of Distributed Generators with Network Reconfiguration Using Grey Wolf and Particle Swarm Optimizers

A New Hybrid Technique for Minimizing Power Losses in a Distribution System by Optimal Sizing and Siting of Distributed Generators with Network Reconfiguration

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