A Monte Carlo Simulation Platform for Studying Low Voltage Residential Networks
A Monte Carlo Simulation Platform for Studying Low Voltage Residential Networks
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DOI：
10.1109/tsg.2014.2331175
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发表时间：
2014-07
影响因子：
9.6
通讯作者：
R. Torquato;Qingxin Shi;Wilsun Xu;W. Freitas
中科院分区：
文献类型：
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作者：
R. Torquato;Qingxin Shi;Wilsun Xu;W. Freitas
智能电网的愿景导致了许多需求侧创新，如非侵入式负荷监测技术、住宅微电网和需求响应计划。这些技术中的许多都需要详细的住宅网络模型来进行研究、评估和验证。针对这一需求，本文提出了一种时序蒙特卡罗（SMC）仿真平台，用于对低压居民电网进行建模和仿真。该平台的目标是模拟长时间（如24小时）的准稳态网络状态。它由两个主要部分组成。第一个是具有潮流、谐波和电机起动研究能力的多相网络模型。二是负荷/发电行为模型，该模型基于使用时间概率曲线建立各种负荷和发电机的运行特性。通过SMC仿真方案将这两个组件结合在一起。提出了四个案例研究来演示所提出的平台的应用。
The smart grid vision has resulted in many demand side innovations such as nonintrusive load monitoring techniques, residential micro-grids, and demand response programs. Many of these techniques need a detailed residential network model for their research, evaluation, and validation. In response to such a need, this paper presents a sequential Monte Carlo (SMC) simulation platform for modeling and simulating low voltage residential networks. This platform targets the simulation of the quasi-steady-state network condition over an extended period such as 24 h. It consists of two main components. The first is a multiphase network model with power flow, harmonic, and motor starting study capabilities. The second is a load/generation behavior model that establishes the operating characteristics of various loads and generators based on time-of-use probability curves. These two components are combined together through an SMC simulation scheme. Four case studies are presented to demonstrate the applications of the proposed platform.