Analysis of the impact of DG on distribution network reconfiguration using OpenDSS

Nie, Song; Fu, Xiaopeng; Li, Peng; Gao, Fei; Ding, Chengdi; Yu, Hao; Wang, Chengshan

doi:10.1109/isgt-asia.2012.6303390

Cited by 18 publications

(6 citation statements)

References 1 publication

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“…The calculation principle described in [16] is based on an iterative method which computes voltages from system admittance matrix and injection current of power converter elements (loads and generators).…”

Section: Chosen Plf Methodsmentioning

confidence: 99%

Probabilistic load flow methods to estimate impacts of distributed generators on a LV unbalanced distribution grid

Diop¹,

Hennebel²

2017

2017 IEEE Manchester PowerTech

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To cite this version:Abstract-The aim of this paper is to apply probabilistic load flow methods on a three phases, unbalanced low voltage distribution network. We use a point estimate method and a Monte Carlo simulation based method to estimate the electrical characteristics (buses voltage, phases and neutral conductors currents) of a distribution grid in presence of a large number of small size photovoltaic generators. Probabilistic load flow allows us to take into account the uncertainty of photovoltaic production and load consumption in load flow computation. The literature shows that PEM method gives good accuracy results while requiring less time simulation than Monte Carlo simulation. In this paper, we aim to check if this assumption is still right with different kinds of probability density function and for a large size electrical network. Usually, random parameters are modeled as a normal distribution. In this work, a generalized extreme value is used to model load consumption behaviour instead of a normal one. The uncertainty of photovoltaic production is supposed to be directly linked to the sky clear index which is modeled as a beta distribution.

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Section: Chosen Plf Methodsmentioning

confidence: 99%

Probabilistic load flow methods to estimate impacts of distributed generators on a LV unbalanced distribution grid

Diop¹,

Hennebel²

2017

2017 IEEE Manchester PowerTech

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“…However, both the studies 52,53 did not consider renewable DG and reconfiguration. Researchers have also used other optimization techniques such as simulated annealing, 54 artificial immune algorithm, 55,56 vaccine-enhanced artificial immune system, 57 modified plant growth simulation algorithm, 58 PSO, 59,60 GA 61-63 , runner root algorithm, 64 harmony search algorithm, 65 artificial bee colony algorithm, 66,67 hybrid Harmony search and particle artificial bee colony algorithm, 68 interval analysis, 69 stochastic MILP, 70 Ant Colony Optimization, 71 hybrid receding horizon control and scenario analysis, 72 nondominated sorting GA, 73 fuzzy mutated GA, 74 tabu search, 75 Benders decomposition approach, 76 and evolutionary programming. 77 Summary of the reviewed literature is presented in Tables 1 and 2. From the above literature survey, it is seen that most of the researchers have studied either DG installation or network reconfiguration for power loss minimization.…”

Section: Introductionmentioning

confidence: 99%

Annual energy loss reduction of distribution network through reconfiguration and renewable energy sources

Hesaroor

Das

2019

Int Trans Electr Energ Syst

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Summary Renewable energy sources are becoming popular day by day for distributed generation as technology is becoming cheaper and modular. Power loss reduction is a powerful incentive for a distribution system operator to promote distributed generation. This paper presents a method to minimize annual energy losses through the integration of nondispatchable renewable distributed generation (DG) units and network reconfiguration under varying load demand condition. The optimal location and DG power level are calculated, and then these data are used to determine DG plant size taking into account the nonavailability of renewable energy at certain times. A network reconfiguration strategy is proposed, which takes into account both the time‐varying load and the renewable energy source such that annual energy loss is minimum. The proposed methodology is applied to 33‐node and 118‐node test distribution system with different scenarios. Results show a substantial reduction in energy loss. A cost‐benefit analysis is also carried out.

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“…Other authors have suggested that a state's provision of electric energy can be considered part of a plan to generate wealth and job opportunities while preserving the environment, as recently shown for the inhabitants of the Brazilian Amazon [12]. Other authors have proposed the installation of energy sources in rural areas to solve the problem of energy access in remote areas [13][14][15]. Moreover, some have proposed a diffusion model based on classical diffusion theory, where the adoption rate becomes a function of awareness campaigns and social interaction [16].…”

Section: Introductionmentioning

confidence: 99%

Understanding Electricity Saving Behavior of Rural Indigenous Communities in La Guajira Department, Colombia

Molina¹,

Candelo-Becerra²,

Camargo³

2018

JESTR

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This paper focuses on identifying how indigenous populations in the upper and middle zones of the La Guajira Department in Colombia save electricity or follow a plan based on an energy policy. To explore this, a survey among seven communities with electricity in the upper and middle zones of La Guajira and a quantitative and observational analysis were conducted. Results show that indigenous communities do not practice a culture of electricity-saving such as, for instance, often failing to turn off idle appliances. In addition, there are neither electricity-saving plans nor energy awareness measures to educate the area's indigenous communities. When comparing the energy consumption of Wayuu communities with that of the country's residential urban dwellers of similar socioeconomic level, few indigenous people using electricity efficiently were found, particularly in terms of lighting and appliance use.

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Analysis of the impact of DG on distribution network reconfiguration using OpenDSS

Cited by 18 publications

References 1 publication

Probabilistic load flow methods to estimate impacts of distributed generators on a LV unbalanced distribution grid

Probabilistic load flow methods to estimate impacts of distributed generators on a LV unbalanced distribution grid

Annual energy loss reduction of distribution network through reconfiguration and renewable energy sources

Understanding Electricity Saving Behavior of Rural Indigenous Communities in La Guajira Department, Colombia

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