在光伏电力不确定的情况下引入HCSP的基于运营成本的统一通信

H. Howlader, Hidehito Matayoshi, A. Ibrahimi, Mir Sayed Shah Dhanish, T. Senjyu, A. Saber
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引用次数: 1

摘要

本研究通过引入混合聚光太阳能发电(HCSP)、光伏发电(PV)和热发电、智能住宅(SH)和负载,提出了一个岛屿智能微电网的运行和管理。事实上,光伏发电的输出取决于天气条件。因此,光伏发电的不确定性是一个共同的缺点,很难解决。智能电网通常采用大容量电池储能系统(BESS)来解决不确定性问题。它价格昂贵,并且在充电时消耗电网电力。HCSP是一种可再生发电,可以用来代替散装BESS。通常,聚光太阳能(CSP)需要至少15分钟的热启动时间。因此,它不能解决不确定性问题。本研究提出了一种HCSP,在HCSP内部有一个小容量的BESS。该BESS从HCSP充电和放电。BESS覆盖HCSP的启动时间,因此任何时候信息通信和技术(ICT)部门调用该HCSP打开。公用事业公司可以通过优化运行HCSP来实现最优的火力发电机组承诺(UC),并节省运营成本。利用神经网络预测了pv的输出功率,并利用MATLAB®INTLINPROG优化工具箱确定了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operational Cost Based UC by Introducing HCSP in Case of PVs Power Uncertainty
This research proposes a smart mini-grid operation and management for an island by introducing Hybrid Concentrated Solar Power (HCSP), Photovoltaic (PV) and thermal generations, Smart Houses (SH) and loads. Indeed, PV power output depends on weather conditions. So, uncertainty of PV generations is a common drawback that is very difficult to tackle. Typically, smart grids are introducing bulk capacity Battery Energy Storage System (BESS) for tackling uncertainty problem. It is expensive and consumes grid power while charging. HCSP is a renewable generation that can be used instead of bulk BESS. Usually, Concentrated Solar Power (CSP) needs at least 15 minutes for a hot start-up. Therefore it cannot solve the problem of uncertainty. This proposed research introduces an HCSP which has a small capacity BESS inside of HCSP. This BESS is charged and discharged from HCSP. BESS covers the start-up time of HCSP, so any time Information Communication and Technology (ICT) department call this HCSP to turn on. A utility company can make optimal thermal generators’ unit commitment (UC) by running HCSP optimally and can save operational costs. PVs power outputs have predicted by Neural Networks, and simulations results are determined by using MATLAB® INTLINPROG optimization toolbox.
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