Demand Side Management Solutions Study in Singapore Market

2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) Pub Date : 2018-10-01 DOI:10.1109/ACEPT.2018.8610710

X. Bai, Geraldine Thoung, Patricia Alvina

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引用次数: 2

Abstract

Smart grid technology development progression has created a chance for the end users participation in the energy market. Singapore government has carried out the demand response programme for wholesale market since April of 2016. The Demand Side Management (DSM) in this paper looks into critical factors that will help users to reduce the energy bill with these solutions such as time-of-use (ToU) price, real-time price (RTP) and direct participation in the Demand Responses(DR) programme. This study reviews benefits for both market and users. These solutions would allow the users to become an active participant in the energy market. It also allows the government to plan better on the limited and costly energy resources, improve system reliability, and reduce transmission and distribution congestion, check and balance on the market power generation. Algorithms, such as linear programming, non-linear programming and machine learning are used in this paper to provide a numerical analysis for different DSM strategies. The research will make Singapore energy market more resilient and reducing energy consumption by introducing competition.

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新加坡市场需求侧管理解决方案研究

智能电网技术的发展进步为终端用户参与能源市场创造了机会。新加坡政府自2016年4月起实施批发市场需求响应计划。本文中的需求侧管理(DSM)着眼于帮助用户通过这些解决方案减少能源账单的关键因素，如使用时间(ToU)价格、实时价格(RTP)和直接参与需求响应(DR)计划。本研究回顾了市场和用户的利益。这些解决方案将允许用户成为能源市场的积极参与者。它还允许政府更好地规划有限和昂贵的能源资源，提高系统可靠性，减少输配电拥堵，制衡市场发电。本文使用线性规划、非线性规划和机器学习等算法对不同的DSM策略进行数值分析。这项研究将使新加坡能源市场更具弹性，并通过引入竞争来减少能源消耗。

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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2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)

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