电力传感器在住宅微电网控制与监测中的应用

Philip Diefenderfer, P. Jansson, Edward Prescott
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引用次数: 11

摘要

传感器和计量技术的进步使我们能够以经济实惠的方式收集比以往更多的数据,这些数据可用于彻底改变电力行业。近实时感知和监控功率特性的能力,并将这些信息提供给控制系统,以优化电网,从而使大型和小型电力系统都能更好地运行。对于具有间歇性可再生能源发电和时变负荷的微电网来说,实时功率传感器与近实时控制系统是必要的。了解有多少能量流经系统对于孤岛状态下的稳定运行至关重要,对于保持经济可行性也很重要。云通信和嵌入式传感器的进步应用可以通过实时数据收集和控制负载和发电资源来增强对住宅微电网的控制。使用先进的分计量系统来监测通过微电网的能源流、与国际标准化组织能源市场的连接以及当地环境数据,提供了高效的操作和对系统近实时运行的洞察。这些数据也可以被记录下来,以便将来在系统外部进行分析,从而更好地制定控制策略,并可用于更好地预测能源需求和成本。这些预测可以用来确保可再生能源以最经济的方式使用,确保能源的最佳等价价格。这种集成和预测系统还可以存储热能,开创了从“需求响应市场”到“可用性响应市场”的范式转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of power sensors in the control and monitoring of a residential microgrid
Advancements in sensor and metering technologies enable us to affordably collect more data than ever before and this data can be used to revolutionize the power industry. The ability to sense and monitor power characteristics in near real time and feed this information to control systems operating to optimize the grid enables better operation of both large and small scale power systems. Real-time power sensors working with a near real-time control system is necessary for a microgrid which has intermittent renewable generation and time varying loads. Knowing how much energy is flowing through the system is crucial for stable operation while islanded and is important to maintain economic feasibility. The application of advancements in cloud communications and embedded sensors can be used to augment the control of a residential microgrid through the real time data collection and control of both loads and generation resources. Using an advanced sub-metering system to monitor the flow of energy through the microgrid, a connection to the ISO's energy market, and local environmental data provides efficient operation and insight into the near real-time operation of the system. The data can also be logged for future analysis external to the system to allow for better future development of control strategies and can be used to make better predictions of energy needs and costs. These predictions can be used to ensure the renewable energy is used in the most economic manner ensuring the best possible equivalent price of energy. Such an integrated and predictive system can also store thermal energy inaugurating a paradigm shift from a “demand response market” to one that becomes an “availability responsive market”.
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