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A design and analysis tool for utility scale power systems incorporating large scale wind, solar photovoltaics and energy storage

机译:用于包含大规模风能,太阳能光伏发电和储能的公用事业级电力系统的设计和分析工具

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This paper presents a time series simulation model (including energy storage systems) intended for the modeling of high penetration non-dispatchable renewable power in utility-scale (multi MW) networks. Its initial application was based on an investigation into the application of large-scale energy storage for offshore wind energy systems to the New England electrical grid. The model includes the following: (1) conventional generators (up to seven), (2) wind turbine generators, (3) solar photovoltaic (PV) generators, (4) energy storage and (5) various dispatch options. A detailed summary is presented for the individual components analytical models and the program structure. The program flow and generator dispatch options include: (i) basic, (ii) time of day, (iii) peak-shaving, plus (iv) minimum run time. In addition, several examples/case studies utilizing energy storage are given that illustrate the basic features of the model. The recommendations section details a number of suggestions for future improvements of the model, and what added exercises of the overall model that could be carried out. An overall conclusion of this work is that energy storage will become progressively more important when electrical networks loads are supplied with large amounts of wind and solar PV inputs. Stored energy equivalent to a few days of average load can have a significantly beneficial effect on reducing conventional fuel requirement. Additional storage is still useful but with diminishing returns. Supplying 100% of the load with wind/PV remains a challenge. The effect of partial correlation between spatially separated wind and PV generators can reduce the amount of storage that would otherwise be needed and merits further study.
机译:本文提出了一个时间序列仿真模型(包括能量存储系统),旨在对公用事业规模(multi MW)网络中的高渗透性不可调度可再生电力进行建模。其最初的应用是基于对海上风能系统的大型储能在新英格兰电网中的应用的调查。该模型包括以下内容:(1)常规发电机(最多7台),(2)风力发电机,(3)太阳能光伏(PV)发电机,(4)储能和(5)各种调度选项。提供了有关各个组件分析模型和程序结构的详细摘要。程序流和生成器分配选项包括:(i)基本,(ii)一天中的时间,(iii)削峰,再加上(iv)最小运行时间。此外,还给出了一些利用能量存储的示例/案例研究,这些示例/案例研究说明了模型的基本特征。 “建议”部分详细介绍了一些有关模型未来改进的建议,以及增加了可以执行的整个模型的练习。这项工作的总体结论是,当向电网负载提供大量风能和太阳能PV输入时,储能将变得越来越重要。相当于几天平均负载的存储能量可以显着地降低常规燃料需求。额外的存储空间仍然有用,但收益递减。用风能/光伏发电为100%的负载供电仍然是一个挑战。空间分隔的风力发电机与光伏发电机之间的部分相关性的影响可以减少原本需要的存储量,值得进一步研究。

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