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Web based integrated multiple function customer demand and budget management system

机译:基于Web的集成多功能客户需求和预算管理系统

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摘要

Traditionally, most end-use residential consumers receive flat rate monthly electricity bills based on load profiling rate calculations from different utilities' consumer classes. Those flat rates do not relate and reflect the true and time-varying costs of electricity supply during actual time of consumptions. Without acknowledging the cost differences, consumers do not have any incentive to adjust their load consumption patterns, and inefficiencies of resource allocations can result. Cheaper-cost off-peak load users can end up paying to offset those expensive peak load users. Additionally, peak load users may still consume their loads without any awareness that their power networks may have already bound to dangerous constraints. Crises and markets failures are often originated from these wholesale and retail market disconnections. Avoidable investments to increase transmission or generation capacities to satisfy peak loads are unnecessarily spent, and the lead-times of such constructions can take several years.;Providing market signals for end-use consumers and enabling them to adjust their loads, consumers can shift away their loads from high market prices when the power systems are stressed. Demand response program (particularly real-time electricity pricing) can be a proper solution to link both supply wholesale and demand retail markets.;The Federal administrations perceive the necessities of electricity demand response programs and have passed the Energy Policy Act (EPAct) 2005 to provide supporting infrastructures and technologies for the demand response programs for all classes of consumers. Accordingly, this research realizes the coming developments and the vitality of the demand response for effective and efficient electric deregulations. The simple yet effective consumer-centered (contrast to utility-centered) load control strategies (Steps of Temperatures and Pricing Naming) are introduced and integrated to the web based integrated multiple function customer demand and budget management system. The proposed system can serve as a tool to assist end-use residential consumers for their load and budget managements in real-time pricing environments, like Illinois (the state where 4.5 million consumers can participate in such program). Other features can further add-on to enhance the proposed system to better reach end-use consumers (e.g., home security and surveillance system).
机译:传统上,大多数最终用途的居民消费者会根据不同公用事业公司消费者类别的负载配置率计算得出固定费用的每月电费。这些固定费率不相关,不能反映实际用电期间实际的供电成本和时变成本。如果不承认成本差异,消费者就没有动力来调整他们的负载消耗模式,并且可能导致资源分配效率低下。成本较低的非高峰负载用户最终需要付费以抵消那些昂贵的高峰负载用户。另外,高峰负载用户可能仍在消耗负载,而没有意识到自己的电网可能已经受到危险约束的束缚。危机和市场失灵通常源于这些批发和零售市场的脱节。不必要地花费了可避免的投资来增加输电或发电能力以满足高峰负荷,而这种结构的交付周期可能要花费数年。;为最终用户提供市场信号并使其能够调整负荷,消费者可以转移电力系统受到压力时,它们的负载来自高市场价格。需求响应计划(尤其是实时电价)可以是连接批发和需求零售市场的合适解决方案。联邦政府意识到电力需求响应计划的必要性,并已通过了2005年《能源政策法案》(EPAct)为所有类别的消费者的需求响应计划提供支持的基础架构和技术。因此,本研究实现了对有效和高效的电力管制的需求响应的发展和活力。引入了简单但有效的以消费者为中心(与以公用事业为中心)的负载控制策略(温度和定价步骤),并将其集成到基于Web的集成多功能客户需求和预算管理系统中。拟议的系统可以用作工具,以帮助最终使用住宅的消费者在实时定价环境(例如伊利诺伊州(450万消费者可以参加该计划的州))中进行负荷和预算管理。其他功能可以进一步添加以增强建议的系统,以更好地覆盖最终用户(例如,家庭安全和监视系统)。

著录项

  • 作者

    Tiptipakorn, Supun.;

  • 作者单位

    The University of Texas at Arlington.;

  • 授予单位 The University of Texas at Arlington.;
  • 学科 Electrical engineering.;Economics.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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