| 引用本文: | 郭壮志,洪俊杰,孟安波.基于多维度动态协调的大规模并网风电储能容量多指标优化配置策略[J].电力自动化设备,2016,36(2): |
| GUO Zhuangzhi,HONG Junjie,MENG Anbo.Multi-index optimization of energy storage capacity configuration based on multi-dimensional dynamic coordination for large-scale grid-connected wind power[J].Electric Power Automation Equipment,2016,36(2): |
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| 摘要: |
| 以并网风电与储能系统时空多维度上的耦合互动特性和风火储电力系统间动态协调机制的综合分析为基础，建立考虑风储系统功率传递与能量时空多维度输移特性、储能系统能量周期性循环与功率能量转移守恒规律、风火储系统互动耦合特征影响并兼顾其功率调节与能量输移双重效用的容量多指标优化配置数学模型。通过风火储电力系统仿真表明：所提出的多指标优化配置策略，不仅能合理量化风火电力系统中的储能容量配置，实现调节容量和风电功率输出特性间的协调，且可有效反映其时空多维度上的动态互济特征，充分利用清洁风电提高电力系统运行经济性。 |
| 关键词: 风电 储能 容量配置 多指标优化 多维度动态协调 |
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| 基金项目:国家自然科学基金资助项目（51407035，51307025， 51167003）；广东省自然科学基金资助项目（S2013040013776，S2013010012431，2014A030313509）；广东省教育厅项目（2013-LYM_0019，2013KJCX0059） |
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| Multi-index optimization of energy storage capacity configuration based on multi-dimensional dynamic coordination for large-scale grid-connected wind power |
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GUO Zhuangzhi, HONG Junjie, MENG Anbo
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School of Automation，Guangdong University of Technology，Guangzhou 510006，China
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| Abstract: |
| For the large-scale grid-connected wind power system，a multi-index optimization mathematical model of ESS（Energy Storage System） capacity configuration is developed based on the comprehensive analysis of the spatial-temporal coupled interactive features and dynamic coordinating mechanism among WTE（Wind power，Thermal power and Energy storage） systems，which considers the features of power transfer and spatial-temporal energy transportation between wind power system and ESS，the periodic energy circulation and power-energy transfer conservation law of ESS，the influence of interactive coupling among WTE systems，and the double effects of power regulation and energy transportation. The simulation of WTE power system shows that the proposed multi-index optimization strategy not only reasonably configures the ESS capacity of wind and thermal power system to realize the coordination between the regulating capacity and power output characteristic of wind power，but also effectively reflects its spatial-temporal dynamic interactive features to enhance the operational economy of power system by the full use of clean wind power. |
| Key words: wind power energy storage capacity configuration multi-index optimization multi-dimensional dynamic coordination |
