A Study Using a Monte Carlo Method of the Optimal Configuration of a Distribution Network in Terms of Power Loss Sensing

Sensors

Hyun Ho Moon²  Jong Joo Lee¹  Sang Yule Choi⁵  Jae Sang Cha³  Jang Mook Kang⁴  Jong Tae Kim² 

[1] Smart Grid Research Center, Korea Electrotechnology Research Institute, 665-4 Naeson-dong, Uiwang-si, Gyeonggi-do 4226-170, Korea; E-Mail:;Department of Electronic and Electrical Engineering, Sungkyunkwan University, 300 CheonCheon-dong, Jangan-gu, Suwon, Gyeonggi-do 440-746, Korea; E-Mails:;Department of Media Engineering, Seoul National University of Science and Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul 139-743, Korea; E-Mail:;Electronic Commerce Research Institute, Dongguk University, 707 Seokjang-dong, Gyeongju, Gyeongsangbuk-do, 780-714, Korea; E-Mail:;Department of Mechatronics Engineering, Induk Institute of Technology, Wolgye 2-dong, Nowon-gu, Seoul 139-749, Korea; E-Mail:

关键词: SmartGrid;    distribution sensing;    MicroGrid;    distribution generator;    optimal configuration;    Monte Carlo;   

DOI  :  10.3390/s110807823

来源: mdpi

【 摘 要 】

Recently there have been many studies of power systems with a focus on “New and Renewable Energy” as part of “New Growth Engine Industry” promoted by the Korean government. “New And Renewable Energy”—especially focused on wind energy, solar energy and fuel cells that will replace conventional fossil fuels—is a part of the Power-IT Sector which is the basis of the SmartGrid. A SmartGrid is a form of highly-efficient intelligent electricity network that allows interactivity (two-way communications) between suppliers and consumers by utilizing information technology in electricity production, transmission, distribution and consumption. The New and Renewable Energy Program has been driven with a goal to develop and spread through intensive studies, by public or private institutions, new and renewable energy which, unlike conventional systems, have been operated through connections with various kinds of distributed power generation systems. Considerable research on smart grids has been pursued in the United States and Europe. In the United States, a variety of research activities on the smart power grid have been conducted within EPRI’s IntelliGrid research program. The European Union (EU), which represents Europe’s Smart Grid policy, has focused on an expansion of distributed generation (decentralized generation) and power trade between countries with improved environmental protection. Thus, there is current emphasis on a need for studies that assesses the economic efficiency of such distributed generation systems. In this paper, based on the cost of distributed power generation capacity, calculations of the best profits obtainable were made by a Monte Carlo simulation. Monte Carlo simulations that rely on repeated random sampling to compute their results take into account the cost of electricity production, daily loads and the cost of sales and generate a result faster than mathematical computations. In addition, we have suggested the optimal design, which considers the distribution loss associated with power distribution systems focus on sensing aspect and distributed power generation.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.