引用本文:郭志忠,叶瑞丽,刘瑞叶,刘建楠.含抽水蓄能电站的可再生能源电网优化调度策略[J].电力自动化设备,2018,(3):
GUO Zhizhong,YE Ruili,LIU Ruiye,LIU Jiannan.Optimal scheduling strategy for renewable energy system with pumped storage station[J].Electric Power Automation Equipment,2018,(3):
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含抽水蓄能电站的可再生能源电网优化调度策略
郭志忠1, 叶瑞丽1, 刘瑞叶1, 刘建楠2
1.哈尔滨工业大学 电气工程及自动化学院,黑龙江 哈尔滨 150001;2.国家电网公司交流建设分公司,北京 100052
摘要:
由于可再生能源电网发电功率的不确定性十分突出,以功率平衡为首要任务的电网调度控制必须采取有针对性的应对措施。在电网储纳运行机制的基础上,建立含抽水蓄能电站的日前调度及实时调度的数学模型。将电网备用分为波动性备用(即调峰备用)和不确定性备用:平衡波动性功率的备用容量主要由常规电源承担,平衡预测误差的不确定性备用主要由抽水蓄能电站承担,2类电源分工互济实现电网功率平衡。提出一个风电上网功率稳定性评价指标,用于衡量不同调度策略补偿失衡功率的优劣。算例分析验证了所提调度策略是可行的。
关键词:  可再生能源电网  不确定性可再生能源  抽水蓄能电站  失衡功率  优化调度  风电
DOI:10.16081/j.issn.1006-6047.2018.03.002
分类号:TM761
基金项目:
Optimal scheduling strategy for renewable energy system with pumped storage station
GUO Zhizhong1, YE Ruili1, LIU Ruiye1, LIU Jiannan2
1.School of Electrical Engineering & Automation, Harbin Institute of Technology, Harbin 150001, China;2.State Grid AC Engineering Construction Company, Beijing 100052, China
Abstract:
Since the uncertainty of power generation in renewable energy system is very prominent, the dispatch and control of power grid which takes power balance as its primary task must adopt targeted countermeasures. The mathematical model for day-ahead scheduling and real-time scheduling of pumped storage power station is built based on the operation mechanism of energy storage. The grid power supply are mutually complementary to realize the power balance of which their reserves are classified into two types: the fluctuation reserve, whose reserve capacity mainly undertaken by the thermal unit is for balancing the fluctuation power, while the uncertainty reserve mainly undertaken by the pumped storage power station is for balancing the uncertainty of forecasting error. An index for evaluating the power stability of grid-connected wind power is proposed, which can measure the goodness of different scheduling strategies for compensating the unbalanced power. Study case analyses verify the feasibility of the proposed scheduling strategy.
Key words:  renewable energy system  uncertainty renewable energy  pumped storage station  unbalanced power  optimal scheduling  wind power

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