Enhancement of Electrical Distribution Networks Performance Using the Load Management Methodology

被引:6
|
作者
Ismail, Ahmed G. [1 ]
El-Dabah, Mahmoud A. [2 ]
Nassar, Ibrahim A. [2 ]
机构
[1] Minist Elect & Energy, North Cairo Distribut Co, Sec Operat & Control, Cairo, Egypt
[2] Al Azhar Univ, Fac Engn, Dept Elect Engn, Cairo, Egypt
关键词
Load management; Demand side management; Load behavior; Controlling and monitoring loads; Reducing the capacity of utilities and electrical network; OIL;
D O I
10.1016/j.egyr.2020.07.018
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
This paper presents the importance of load management methodology (LM) and helps in clarifying the difference between load management versus demand-side management (DSM), as LM is a crucial method of controlling the loads especially in peak periods, to prevent tripping. It was found that the previous researches focused on the dual tariff meters to force and motivate the consumer to change the demand time which was a gleam in overcoming the phenomena. However, the dilemma of the DSM was relying mainly on the consumer, who has to change the time of his needs. Therefore, it is difficult to be controlled. Consequently, they cannot find effective feedback as well. On the other hand, LM relies only on the designer or service provider in re-distributing loads according to the load behavior studies (time, location, and type of user) without depending on the consumer in solving the phenomena of extreme fluctuations of loads on the electrical equipment. In this paper, the second methodology is by the service provider, it is going to be handled and discussed by Selecting medium voltage (MV) feeders, re-distribute loads equally, and variously on transformer preventing unifying load which causes overloaded transformer on one period rather than the other. Consequently, it will lead to protect electrical equipment from no-load or overload effects, selecting the exact size. That will improve the economic status and will lead to a stable, balanced system, besides reduce heat island effects and prevent load shedding caused by sudden overloading. The model was created by using DIgSILENT power factory software. (C) 2020 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:2066 / 2074
页数:9
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