储能和需求响应方案下基于可再生能源的双向配电网稳健弹性运行

IF 4.3 3区 工程技术 Q2 ENERGY & FUELS
Ledan Huang, Ali M. Mohsen, Hassan A. Kenjrawy, Mohammed H. Almaamori, Jingyu Zhang, Hesam Rahbarimagham
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引用次数: 0

摘要

电网运营商面临的主要问题之一是事件期间电网的运行问题。影响大、发生概率低的事件是指对电网造成严重破坏的一类事件。因此,电网在处理此类事件时必须具有弹性。近年来,电网运营商一直试图通过采用柔性方法来改善配电网的使用条件。本文旨在使用灵活的方法,如储能系统和需求响应方案,以增加弹性,降低成本,并与分配变电站的电力交换曲线保持水平。因此,首先,在能源管理问题中提出了储能系统和需求响应方案的建模。然后,将上述模型与双向配电网的弹性运行问题相结合。同时,考虑风能和太阳能可再生能源的有功负荷和有功发电参数,考虑了不确定性。考虑建模不确定性的鲁棒优化方法,对弹性运行模型进行了考虑和重写。最后,给出了一个弹性指数,以相对的方式显示网络的弹性。在该模型中,对IEEE 33总线网络进行了四种状态和六种情况下的仿真。考虑的状态包括没有储能系统和需求响应计划的电网运行,有储能系统的运行,有需求响应计划的运行,以及同时存在储能系统和需求响应计划的运行。此外,本文还对六种情况进行了调查,包括正常情况下的运行与其他情况的比较,与分配所连接的单向和双向母线的停机情况下的运行,局部资源断开的运行,以及网络线路。研究结果表明,采用所考虑的方法可以改善弹性条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Resilient Operation of the Renewable Energy Based Two-Way Electricity Distribution Network in the Presence of Energy Storage and Demand Response Programs

One of the major problems of the operators of electricity networks is the operation of the network during events. Events with high impact and low probability of occurrence are a type of events that can cause severe disruptions in power grids. Therefore, the power grid must be resilient in dealing with such events. In recent years, electricity network operators have tried to improve the conditions of using distribution networks by using methods called flexibility. This paper aims to use flexible methods, such as energy storage systems and demand response programs to increase resiliency, reduce costs, and level the power exchange curve with the sub-distribution substation. Therefore, first, the modeling of energy storage systems and demand response programs is presented in the energy management problem. Then, the mentioned models are integrated with the problem of the resilient operation of the two-way distribution network. Also, considering the parameters of active and reactive loads and active generation of wind and solar renewable energy resources, uncertainty is considered in the problem. The resilient operation model has been considered and rewritten again, considering the robust optimization method for modeling uncertainties. Finally, a resiliency index is provided to show the resiliency of a network in a relative manner. In the proposed model, the simulation is done on IEEE 33-bus network in four states and six cases. The states considered include grid operation without energy storage systems and demand response programs, operation with energy storage systems, operation with demand response programs, and operation with the simultaneous presence of energy storage systems and demand response programs. Also, in this paper, six cases include operation in normal conditions for comparison with other cases, operation in outage conditions of one-way and two-way busses connected to the sub-distribution substation, operations in disconnection of some local resources, and network lines have been investigated. The results obtained from this research indicate the improvement of resiliency conditions using the method considered.

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来源期刊
International Journal of Energy Research
International Journal of Energy Research 工程技术-核科学技术
CiteScore
9.80
自引率
8.70%
发文量
1170
审稿时长
3.1 months
期刊介绍: The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system
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