| 引用本文: | 胡晓通,刘天琪,何川.考虑随机特性的独立微网储能裕度计算方法[J].电力自动化设备,2017,37(12): |
| HU Xiaotong,LIU Tianqi,HE Chuan.Calculation method of storage capacity margin for standalone microgrid considering stochastic characteristics[J].Electric Power Automation Equipment,2017,37(12): |
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| 摘要: |
| 依据含储能设备的独立微网的功能和运行特性，提出微网储能裕度的概念及考虑随机特性的微网储能裕度的计算方法，以便对微网负荷承载能力进行量化评估，并使微网在满足系统可靠性要求的同时合理调节储能设备的充放电。针对风电、光电及负荷的随机特性，在日前预测的基础上，建立考虑预测误差的风电、光伏出力和负荷的概率模型。提出一种基于场景生成和削减技术、储能设备充放电优化技术和弦截法的考虑随机特性的储能裕度计算方法。以某微网为例，验证了所提方法的有效性和准确性，并对蓄电池容量、出力限制和初始荷电状态等可能影响储能裕度的因素进行了分析。 |
| 关键词: 微网 随机特性 储能裕度 二次规划 拉丁超立方抽样 弦截法 |
| DOI：10.16081/j.issn.1006-6047.2017.12.011 |
| 分类号:TM732 |
| 基金项目:四川省科技支撑计划项目(2016GZ0143) |
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| Calculation method of storage capacity margin for standalone microgrid considering stochastic characteristics |
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HU Xiaotong, LIU Tianqi, HE Chuan
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School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
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| Abstract: |
| According to the function and operation characteristics of stand-alone microgrid with storage devices, the concept of storage capacity margin for microgrid is defined and its calculation method with the consideration of randomness characteristics is proposed for quantitative assessment of load carrying capacity of microgrid and rationally adjusting charging and discharging of storage device while satisfying the requirement of system reliability. According to the stochastic characteristics of wind power, photovoltaic and load, the probabilistic model of wind power, photovoltaic and load is built based on the day-ahead error forecasting. On the basis of scenario generation and reduction technology, storage device charging and discharging optimization technology and secant method, a storage capacity margin calculation method with the consideration of stochastic characteristics is proposed. A microgrid is taken as an example to verify the effectiveness and correctness of the proposed method, and the storage capacity, output limitation, initial state of charge and other factors that may affect the storage capacity margin are analyzed. |
| Key words: microgrid stochastic characteristics storage capacity margin quadratic programming Latin hypercube sampling secant method |
