Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

被引：144

作者：

Zubo, Rana. H. A. ^{[1
]}

Mokryani, Geev ^{[1
]}

Rajamani, Haile-Selassie ^{[1
]}

Aghaei, Jamshid ^{[2
]}

Niknam, Taher ^{[2
]}

Pillai, Prashant ^{[1
]}

机构：

[1] Univ Bradford, Sch Elect Engn & Comp Sci, Bradford BD7 1DP, W Yorkshire, England

[2] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz, Iran

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2017年 / 72卷

关键词：

Distributed generation; Distribution system; Optimization methods; Uncertainty modeling; MONTE-CARLO-SIMULATION; OPTIMAL POWER-FLOW; PARTICLE SWARM OPTIMIZATION; ANT COLONY SYSTEM; IMPERIALIST COMPETITIVE ALGORITHM; RADIAL-DISTRIBUTION NETWORKS; OPTIMAL ALLOCATION; DG UNITS; WIND TURBINES; OPTIMAL PLACEMENT;

D O I：

10.1016/j.rser.2016.10.036

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Distributed generators (DGs) are a reliable solution to supply economic and reliable electricity to customers. It is the last stage in delivery of electric power which can be defined as an electric power source connected directly to the distribution network or on the customer site. It is necessary to allocate DGs optimally (size, placement and the type) to obtain commercial, technical, environmental and regulatory advantages of power systems. In this context, a comprehensive literature review of uncertainty modeling methods used for modeling uncertain parameters related to renewable DGs as well as methodologies used for the planning and operation of DGs integration into distribution network. The authors strongly recommend this review to researchers, scientists and engineers who are working in this field of research work.

引用

页码：1177 / 1198

页数：22

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