| 引用本文: | 陈丽丽,牟龙华,许旭锋,刘爽.储能装置运行策略及运行特性对微电网可靠性的影响[J].电力自动化设备,2017,37(7): |
| CHEN Lili,MU Longhua,XU Xufeng,LIU Shuang.Influences of energy storage operational strategy and characteristic on microgrid reliability[J].Electric Power Automation Equipment,2017,37(7): |
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| 摘要: |
| 储能装置可有效平抑间歇性分布式电源的出力波动，有助于提高系统运行的可靠性。然而，储能装置运行策略和运行特性的选取对系统可靠性水平有着重要影响。搭建了计及储能运行策略和运行特性的、更为精准的储能充放电模型，提出了基于序贯蒙特卡洛模拟法的风/光/柴/储微电网可靠性评估模型，并分别针对负荷点、系统和储能提出了一系列评估指标。通过对IEEE-RBTS标准算例系统进行仿真，分析了储能装置的运行策略、容量、最大充放电功率对微电网可靠性水平的影响，并评估了切负荷策略中位置权重系数对负荷点及系统可靠性水平的影响，评估结果可为微电网的优化规划提供有益参考。 |
| 关键词: 微电网 储能 充放电模型 切负荷策略 可靠性指标 评估模型 拉丁超立方采样 |
| DOI：10.16081/j.issn.1006-6047.2017.07.011 |
| 分类号:TM61;TM727 |
| 基金项目:国家自然科学基金资助项目(51407128)；上海市科学技术委员会资助项目(12ZR1451300) |
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| Influences of energy storage operational strategy and characteristic on microgrid reliability |
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CHEN Lili, MU Longhua, XU Xufeng, LIU Shuang
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Department of Electrical Engineering, Tongji University, Shanghai 201804, China
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| Abstract: |
| Since ES(Energy Storage) is used to smooth the power output fluctuations of intermittent DG(Distributed Generation) for enhancing the operational reliability of power system, the selection of its operational strategy and characteristic influences the power system reliability level significantly. A more accurate ES charging / discharging model considering its operational strategy and characteristic is established, a reliability evaluation model based on the sequential Monte Carlo simulation method is proposed for microgrid with wind turbine, PV, diesel generator and ES, and the evaluation indices for load point, microgrid system and ES are given respectively. Simulation is carried out for IEEE-RBTS standard system, the influences of ES operational strategy, capacity and maximal charging / discharging power on the microgrid reliability level are analyzed, and the impact of position-weight coefficient of load shedding strategy on the reliability levels of load point and microgrid system is evaluated. The simulative results provide useful reference for the optimal microgrid planning. |
| Key words: microgrid energy storage charging / discharging model load shedding strategy reliability indices evaluation model Latin hypercube sampling |
