Residential Load Simulator for Demand-side Management (DSM)

Josiah Godwin Ajisafe, F. Dahunsi
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Abstract

With the increasing demand for energy in all human activities today comes the inherent challenges of energy generation, transmission, distribution and consumption, and ultimately, management. Different technologies, such as the Smart Grid System, have been developed over the years to solve many problems associated with energy demand and supply in many countries. However, several aspects still require innovative system designs and controls to solve. One is the energy management system's demand side management (DSM). The residential sector requires the most efficient energy management schemes of the three basic categories of electricity consumers. This paper approaches the challenge of developing a Residential Load Simulator using MATLAB-GUIDE for estimating and visualizing the energy consumption and cost implication of energy used in typical Nigerian homes. The Simulator models four categories of houses and eight common electrical appliances. The energy consumption and cost effect are estimated for 24 hours per day, 5 weekdays, 2 weekends, and one month. The granularity of estimation is hourly.
用于需求侧管理(DSM)的住宅负荷模拟器
随着所有人类活动对能源的需求不断增加,能源的生产、传输、分配和消费以及最终的管理都面临着固有的挑战。不同的技术,如智能电网系统,多年来已经发展起来,以解决许多国家与能源需求和供应相关的许多问题。然而,仍有几个方面需要创新的系统设计和控制来解决。一是能源管理系统的需求侧管理(DSM)。住宅部门需要最有效的三类电力消费者能源管理计划。本文探讨了使用MATLAB-GUIDE开发住宅负荷模拟器的挑战,用于估计和可视化典型尼日利亚家庭使用的能源消耗和成本含义。模拟器模拟了四类房屋和八种常用电器。能源消耗和成本效益是按每天24小时、5个工作日、2个周末和1个月计算的。估计的粒度是每小时一次。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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