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首页> 外文期刊>Journal of Network Industries >Smart grid, load management and dynamic pricing for electricity: Simulation results from a field project in Switzerland
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Smart grid, load management and dynamic pricing for electricity: Simulation results from a field project in Switzerland

机译:智能电网,电力的负荷管理和动态定价:瑞士一项实地项目的仿真结果

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摘要

The electricity sector is in transition towards a market where the roles of the operators and institutional actors are changing. The rise in production from renewable energy sources is determining a move from a centrally, fossil-fuel generation to a local distributed one with, among the other things, implications in terms of volatility, intermittency and reserve ‘backup’ capacity. This renewed and challenging scenario represents the basis for the Swiss2Grid pilot project. Its main objective is the development of an innovative approach for the grid load management based on the adoption of an active algorithm (Household Appliance Controller (HAC)) located on individual homes – then decentralized – governed by simple network rules. The goal is to reduce the level of complexity of the system, flattering at the same time the peak load curve. This load optimization is intended also having positive effects in terms of consumers’ bills expenditure. The amount of potential costs reduction of selected consumers, associated with a load shifting by HAC, has been estimated for several price scenario hypothesis, sketched in order to find the price scheme that better fits to the new consumption’s profile. In detail, we tested time constant rates as well as time variable ones, from flat rates to real prices. This project has indeed given us the opportunity to investigate about the use – and the actual advantages – of real-time prices for electricity combined with enabling technologies and on the new roles of utilities and Distribution System Operators (DSOs).
机译:电力行业正在向经营者和机构参与者的角色正在变化的市场过渡。可再生能源生产的增加决定了从集中化石燃料发电向本地分布式发电的转变,除其他事项外,这还涉及波动性,间歇性和储备“备用”容量。这种新的挑战性场景是Swiss2Grid试点项目的基础。它的主要目的是开发一种创新的电网负载管理方法,该方法基于采用位于单个家庭中然后分散的,由简单网络规则控制的主动算法(家用设备控制器(HAC))。目标是降低系统的复杂度,同时使峰值负载曲线平坦。这种负载优化还旨在对消费者的账单支出产生积极影响。针对几种价格情景假设,估算了选定消费者的潜在成本降低量(与HAC的负荷转移相关),并进行了概述,以找到更适合新消费群的价格方案。详细地说,我们测试了固定汇率和实际价格之间的时间常数和时间变量。该项目确实为我们提供了机会,以研究实时电价与使能技术相结合的用途以及其实际优势,以及公用事业和配电系统运营商(DSO)的新角色。

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