A new long term load management model for asset governance of electrical distribution systems

被引：15

作者：

Dashti, Reza ^{[1
]}

Afsharnia, Saeed ^{[1
]}

Ghasemi, Hassan ^{[1
]}

机构：

[1] Univ Tehran, Sch Elect & Comp Engn, Tehran, Iran

来源：

APPLIED ENERGY | 2010年 / 87卷 / 12期

关键词：

Long term load management; Social behavior; Urban planning; Neural network; Distribution system; Asset governance; IMPLEMENTATION; NETWORKS;

D O I：

10.1016/j.apenergy.2010.04.003

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Long term load management (LTLM) is one of the key factors in making decisions regarding new investments in distribution systems. However, none of the previous studies have investigated the effect of external factors such as governance, urban planning and social behavior factors on LTLM. In this paper, a new LTLM model is proposed to determine the influence of external factors on LTLM. Distribution system development indices have been used to obtain asset governance targets; these indices can help Distribution Companies (DISCOs) compromise between reliability and running the system economically. Capacity utilization and the number of maneuver points are used here to do LTLM and improve asset governance. Numerical studies on a real distribution system (city with population about 200,000) have been conducted and sensitivity analysis of maneuver points and capacity utilization level with respect to external factors is studied and analyzed. The results show the feasibility of the proposed LTLM to obtain higher efficiency from the viewpoint of cost and quality service compared to conventional LTLM. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：3661 / 3667

页数：7

共 21 条

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