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抑制风电爬坡率的风储联合优化控制方法 被引量:45

Optimization Control Method of Wind/Storage System for Suppressing Wind Power Ramp Rate
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摘要 利用储能平抑风电波动时,应当保证并网功率爬坡率满足国家风电并网标准中的相关要求。文中研究了抑制风电爬坡率的风储联合优化控制方法。根据国家标准中"有功功率变化"的文字说明,提出了新的风电并网功率爬坡率的数学表达,并提出同时考虑弃风和储能控制手段的风储联合控制方法,以风储联合运行的效益最大化为目标,利用风功率超短期/短期预测数据进行滚动优化控制。基于实际的风电场数据设计了算例系统,并采用遗传算法求解。结果表明该控制方法能够保证风储联合发电功率满足国家风电并网标准对风电有功功率变化的要求。 To comply with the national standard of wind power integration, the fluctuations of wind power must be mitigated. An optimization control method of wind/storage hybrid system is proposed, which can suppress the wind power ramp rate and meet the ramp rate requirement in the standard. A mathematical expression for wind power ramp rate is presented as per the definition of active power change in the national standard. Based on the ultra-short-term/short-term wind power prediction, a rolling optimization model which adopts wind curtailment control and storage control is established to maximize the total profit of wind/storage hybrid system. The model is solved by genetic algorithm. A test case is developed based on the parameters of a practical wind plant to show its effectiveness.
出处 《电力系统自动化》 EI CSCD 北大核心 2013年第13期17-23,共7页 Automation of Electric Power Systems
基金 国家自然科学基金资助项目(51177019) 国家高技术研究发展计划(863计划)资助项目(2011AA05A105) 国家电网公司科技项目"大规模风电并网调度运行支撑关键技术研究与应用"~~
关键词 风力发电 储能 爬坡率控制 有功功率变化 弃风 滚动优化 风电并网 wind power storage ramp rate control active power change wind curtailment rolling optimization wind power integration
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  • 1SINGH B, SINGH S N. Wind power interconnection into the power system: a review of grid code requiremerlts[J]. Electricity Journal, 2009, 22(5): 54-63.
  • 2GB/T199632011风电场接入电力系统技术规定[S].北京:中国质检出版社,2011.
  • 3乔颖,鲁宗相.考虑电网约束的风电场自动有功控制[J].电力系统自动化,2009,33(22):88-93. 被引量:117
  • 4YOSHIMOTO K, NANAHARA T, KOSH1MIZU G. Analysis of data obtained in demonstration test about battery energy storage system to mitigate output fluctuation of wind farm[C]// 2009 CIGRE/IEEE PES Joint Symposium on Integration of Wide-scale Renewable Resources into the Power Delivery System, July 29 31, 2009, Calgary, AB, Canada.
  • 5刘昌金,胡长生,李霄,陈敏,徐德鸿.基于超导储能系统的风电场功率控制系统设计[J].电力系统自动化,2008,32(16):83-88. 被引量:64
  • 6LUO Changling, OOI B T. Frequency deviation o[ thermal power plants due to wind farms[J]. IEEE Trans on Energy Conversion, 2006, 21(3): 708-716.
  • 7张野,郭力,贾宏杰,李占鹰,陆志刚.基于电池荷电状态和可变滤波时间常数的储能控制方法[J].电力系统自动化,2012,36(6):34-38. 被引量:119
  • 8GUO Li, ZHANG Ye, WANG Chengshan. A new battery energy storage system control method based on SOC and variable filter time constant[C]// IEEE PES Innovative Smart Grid Technologies (ISGT), January 16-18, 2012, Washington DC, USA.
  • 9刘霞,江全元.风光储混合系统的协调优化控制[J].电力系统自动化,2012,36(14):95-100. 被引量:59
  • 10PAATERO J V, LUND P D. Effect of energy storage on variations in wind power[J]. Wind Energy, 2005, 8(4) 421-441.

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