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A Testing Framework for the Monitoring and Performance Analysis of Distributed Energy Systems

机译:分布式能源系统监控和性能分析的测试框架

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摘要

The increasing presence of intermittent distributed generation (DG) based on renewable energy sources (RESs) is heavily affecting the operation and management of modern distribution grids. Even though the use of distributed energy storage systems (DESSs) and the integration of advanced demand response (DR) programs are expected to mitigate this problem, security, safety, economic, and technical reasons are limiting the tests of these mechanisms in working systems. The test in simulation and emulation environments has proved to be an effective solution for the development of advanced control and protection schema, but their use for the simulation of the typically unpredictable behavior of end-users seems at least questionable. This paper proposes a testing framework for the analysis of experimental control strategies of distributed energy systems. The framework, based on a service-oriented architecture, can be easily interconnected to different systems, including renewable generators and storage systems. This framework can be used to analyze the performance of real energy systems, working in near-to-real conditions. The framework has been used for a pilot test on a subset of the facilities of the eLUX laboratory of the University of Brescia. The proposed framework allows analyzing the energy performance of this system by means of proper key performance indicators (KPIs). The efficiency analysis of a battery energy storage system (BESS) is presented, by proposing KPIs to evaluate the effect of different control strategies. Further KPIs are also used to evaluate the effectiveness of the BESS for improving the energy self-consumption of a photovoltaic system.
机译:基于可再生能源(RES)的间歇性分布式发电(DG)的不断增加,严重影响了现代配电网的运营和管理。尽管期望使用分布式能量存储系统(DESS)和集成高级需求响应(DR)程序来减轻此问题,但是安全性,安全性,经济和技术原因限制了对这些机制在工作系统中的测试。事实证明,在仿真和仿真环境中进行的测试是开发高级控制和保护方案的有效解决方案,但将其用于仿真最终用户通常无法预测的行为似乎至少值得怀疑。本文提出了一个测试框架,用于分析分布式能源系统的实验控制策略。该框架基于面向服务的体系结构,可以轻松地互连到不同的系统,包括可再生发电机和存储系统。该框架可用于分析在接近真实条件下工作的真实能源系统的性能。该框架已用于布雷西亚大学eLUX实验室的一部分设施的试点测试。提出的框架允许通过适当的关键性能指标(KPI)分析该系统的能源性能。通过提出KPI评估不同控制策略的效果,提出了电池储能系统(BESS)的效率分析。其他KPI也用于评估BESS改善光伏系统能量自耗的有效性。

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