| 引用本文: | 张晓波,张保会,吴 雄.风光预测后微电网的优化运行[J].电力自动化设备,2016,36(3): |
| ZHANG Xiaobo,ZHANG Baohui,WU Xiong.Optimal microgrid operation based on wind／PV power prediction[J].Electric Power Automation Equipment,2016,36(3): |
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| 摘要: |
| 采用自回归滑动平均模型进行风电预测，采用多元线性回归预测算法进行光伏预测，采用分段线性化法处理微型燃气轮机燃料费用与发电功率的关系，建立考虑充放电效率与状态的蓄电池模型。以微电网内燃料费用最低和从外部电网购电费用最低为优化目标，调用蓄电池储放能，优化微电网的运行控制策略。使用CPLEX软件求解优化函数并给出优化运行结果，结果表明所提的运行优化策略发挥了蓄电池逢电价低储能、逢电价高放能的作用，比传统的仅考虑燃料费用的控制策略节省了运行费用。 |
| 关键词: 微电网 经济性 优化 风电 光伏 预测 蓄电池 |
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| 基金项目:国家重点基础研究发展计划（973计划）资助项目（2009CB219700） |
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| Optimal microgrid operation based on wind／PV power prediction |
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ZHANG Xiaobo, ZHANG Baohui, WU Xiong
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School of Electrical Engineering，Xi’an Jiaotong University，Xi’an 710049，China
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| Abstract: |
| The ARMA （AutoRegressive Moving Average） model is used to predict the wind power，the multiple linear regression method is used to predict the photovoltaic power，the piece-wise linearization method is used to present the relationship between the fuel cost and output power of MT（MicroTurbine），and a battery model considering the charging／discharging efficiency and states is established. With the minimum internal fuel cost and the minimum electricity purchase cost as the objectives，the control strategy of microgrid operation is optimized by charging and discharging the battery. CPLEX software is applied to solve the optimization function and the results of optimal operation are presented，which show that，with the proposed optimization strategy，the battery is charged when the electricity price is lower while discharged when the electricity price is higher and the operating cost is less than that of the traditional control strategy. |
| Key words: microgrid economy optimization wind power photovoltaic prediction electric batteries |
