Effect of load models on assessment of energy losses in distributed generation planning

Kejun Qian; Chengke Zhou; Malcolm Allan; Yue Yuan

doi:10.1016/j.ijepes.2011.04.003

Effect of load models on assessment of energy losses in distributed generation planning

Kejun Qian, Chengke Zhou, Malcolm Allan, Yue Yuan

Research output: Contribution to journal › Article › peer-review

83 Citations (Scopus)

Abstract

Distributed Generation (DG) is gaining in significance due to the keen public awareness of the environmental impacts of electric power generation and significant advances in several generation technologies which are much more environmentally friendly (wind power generation, micro-turbines, fuel cells, and photovoltaic) than conventional coal, oil and gas-fired plants. Accurate assessment of energy losses when DG is connected is gaining in significance due to the developments in the electricity market place, such as increasing competition, real time pricing and spot pricing. However, inappropriate modelling can give rise to misleading results. This paper presents an investigation into the effect of load models on the predicted energy losses in DG planning.

Original language	English
Pages (from-to)	1243–1250
Number of pages	8
Journal	International Journal of Electrical Power and Energy Systems
Volume	33
Issue number	6
DOIs	https://doi.org/10.1016/j.ijepes.2011.04.003
Publication status	Published - Jul 2011

Keywords

energy systems
electrical engineering
electric power generation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ijepes.2011.04.003

Cite this

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abstract = "Distributed Generation (DG) is gaining in significance due to the keen public awareness of the environmental impacts of electric power generation and significant advances in several generation technologies which are much more environmentally friendly (wind power generation, micro-turbines, fuel cells, and photovoltaic) than conventional coal, oil and gas-fired plants. Accurate assessment of energy losses when DG is connected is gaining in significance due to the developments in the electricity market place, such as increasing competition, real time pricing and spot pricing. However, inappropriate modelling can give rise to misleading results. This paper presents an investigation into the effect of load models on the predicted energy losses in DG planning.",

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author = "Kejun Qian and Chengke Zhou and Malcolm Allan and Yue Yuan",

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AU - Qian, Kejun

AU - Zhou, Chengke

AU - Allan, Malcolm

AU - Yuan, Yue

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PY - 2011/7

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N2 - Distributed Generation (DG) is gaining in significance due to the keen public awareness of the environmental impacts of electric power generation and significant advances in several generation technologies which are much more environmentally friendly (wind power generation, micro-turbines, fuel cells, and photovoltaic) than conventional coal, oil and gas-fired plants. Accurate assessment of energy losses when DG is connected is gaining in significance due to the developments in the electricity market place, such as increasing competition, real time pricing and spot pricing. However, inappropriate modelling can give rise to misleading results. This paper presents an investigation into the effect of load models on the predicted energy losses in DG planning.

AB - Distributed Generation (DG) is gaining in significance due to the keen public awareness of the environmental impacts of electric power generation and significant advances in several generation technologies which are much more environmentally friendly (wind power generation, micro-turbines, fuel cells, and photovoltaic) than conventional coal, oil and gas-fired plants. Accurate assessment of energy losses when DG is connected is gaining in significance due to the developments in the electricity market place, such as increasing competition, real time pricing and spot pricing. However, inappropriate modelling can give rise to misleading results. This paper presents an investigation into the effect of load models on the predicted energy losses in DG planning.

KW - energy systems

KW - electrical engineering

KW - electric power generation

U2 - 10.1016/j.ijepes.2011.04.003

DO - 10.1016/j.ijepes.2011.04.003

M3 - Article

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SP - 1243

EP - 1250

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

IS - 6

ER -

Effect of load models on assessment of energy losses in distributed generation planning

Abstract

Keywords

UN SDGs

Documents and Links

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