| 考虑电价不确定性的主动配电网网损成本鲁棒优化模型 |
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| 引用本文： | 张旭东,王昊婧,武赓,曾鸣,周旋. 考虑电价不确定性的主动配电网网损成本鲁棒优化模型[J]. 电力自动化设备, 2017, 37(9) |
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| 作者姓名： | 张旭东 王昊婧 武赓 曾鸣 周旋 |
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| 作者单位： | 华北电力大学 经济与管理学院，北京 102206,国网北京市电力公司 北京电力经济技术研究院，北京 100055,华北电力大学 新能源电力系统国家重点实验室，北京 102206,华北电力大学 新能源电力系统国家重点实验室，北京 102206,上海电机学院 电气学院，上海 200245 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目(2016-XS80) |
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| 摘 要： | 提高配电网的运行效率和可靠性是配电网运营商优化系统运行的主要目标,在开放电力市场中,市场电价波动可能会使得上述优化目标下不能够最小化配电网的网损成本。基于此,构建考虑电价不确定性的配电网运营商网损成本鲁棒优化模型。分析不同优化目标下电价波动以及需求响应和储能调度策略对配电网运行网损成本的影响,并给出在不同情境下的最优运行策略。IEEE 33节点配电网的仿真结果验证了所提模型的有效性。
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| 关 键 词： | 主动配电网；配电网运营商；网损成本；储能；需求响应；鲁棒优化；模型 |
| 收稿时间： | 2017-01-19 |
| 修稿时间： | 2017-07-04 |
Robust power-loss cost optimization model considering price uncertainty for active distribution network |
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| ZHANG Xudong,WANG Haojing,WU Geng,ZENG Ming and ZHOU Xuan. Robust power-loss cost optimization model considering price uncertainty for active distribution network[J]. Electric Power Automation Equipment, 2017, 37(9) |
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| Authors: | ZHANG Xudong WANG Haojing WU Geng ZENG Ming ZHOU Xuan |
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| Affiliation: | School of Economics and Management, North China Electric Power University, Beijing 102206, China,Beijing Electric Power Economic Research Institute, State Grid Beijing Electric Power Company, Beijing 100055, China,State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China,State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China and School of Electrical Engineering, Shanghai Dianji University, Shanghai 200245, China |
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| Abstract: | The main objective of system operation optimization of DNO(Distribution Network Operator) is to improve the operational efficiency and reliability of distribution network, but the fluctuation of electricity price in an open electricity market may affect the minimization of power-loss cost. A robust power-loss cost optimization model considering the price uncertainty is built for DNO. The impacts of price fluctuation, demand response and energy storage dispatch strategy on the power-loss cost are analyzed for different optimization objectives and the optimal operating strategy is given for different scenarios. The simulative results of IEEE 33-bus distribution network verify the effectiveness of the proposed model. |
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| Keywords: | active distribution network DNO power-loss cost energy storage demand response robust optimization models |
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