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混合交直流主动配电网接纳裕度双重不确定性优化模型 被引量:1
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作者 刘淼 孟静 +2 位作者 尹申 肖恩颂 蒋达飞 《电机与控制应用》 2023年第3期88-94,共7页
接入的电能超出配电网接纳裕度时,为使充电接纳裕度最大化,风光出力波动最小化,提出混合交直流主动配电网接纳裕度双重不确定性优化模型。获取双重不确定因素,以电动汽车充电接纳裕度最大化、风光出力波动最小化为目标,以节点电压、风... 接入的电能超出配电网接纳裕度时,为使充电接纳裕度最大化,风光出力波动最小化,提出混合交直流主动配电网接纳裕度双重不确定性优化模型。获取双重不确定因素,以电动汽车充电接纳裕度最大化、风光出力波动最小化为目标,以节点电压、风光出力以及接纳裕度等为约束,构建配电网优化模型,并通过混沌二进制粒子群算法求解优化模型,得到迭代后的最佳优化结果,实现配电网接纳裕度双重不确定性优化。经试验验证:通过该方法优化后,配电网的平均接纳容量从1 200 kW达到了2 000 kW左右,且始终保持在接纳裕度的优质区间内;接入不确定性电能类型后,节点的电压越限概率均最高在2.7%,各节点产生的弃能均保持在6 MW·h以下;各节点在峰时接入风、光机组时,风、光出力的最高波动值依然低于3.5 kW·h;当配电网处于恶劣环境下,日常接入不确定性电能时,配电网的有功网损处于0.25~0.40 MW之间。 展开更多
关键词 混合交直流 主动配 接纳裕度 双重不确定性 压越限概率 有功电损
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Parameter Test and Analysis for Dynamic Compensation Devices in Wind Power Farms
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作者 Bai Runqing Qin Rui Zhi Yong Zhou Xichao Yang Yong 《Electricity》 2012年第4期20-24,共5页
The dynamic reactive power compensation equipment in Jiuquan Wind Power Base of above 10 GW consists of three different types of compensation devices, including: static var generator (SVG), thyristor controlled com... The dynamic reactive power compensation equipment in Jiuquan Wind Power Base of above 10 GW consists of three different types of compensation devices, including: static var generator (SVG), thyristor controlled compensator (TGR) and magnetically controlled reactor (MGR). The lack of experimental verification of performance is not conducive to voltage/var management or full utilization of device capaci- ties. In order to solve the above problems, the compensation device performance test was performed. The test items and procedures were selected based on related national standards with the consideration for different grid structures and wind farm operation modes. The testing contents included dynamic regulating range, active power loss, dynamic response time, and harmonic voltage level. Three types of compensation devices installed in different wind farms, namely SVG, TCR and MCR, were chosen and tested. The performances were compared and analyzed according to the field test results. 展开更多
关键词 wind power farm reactive power compensation parameter test
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Distributed Generators Location and Capacity Effect on Voltage Profile Improvement and Power Losses Reduction Using Genetic Algorithm
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作者 Mohamad Fawzy Kotb 《Journal of Energy and Power Engineering》 2012年第3期446-455,共10页
This paper presents a powerful approach to find the optimal size and location of distributed generation units in a distribution system using GA (Genetic Optimization algorithm). It is proved that GA method is fast a... This paper presents a powerful approach to find the optimal size and location of distributed generation units in a distribution system using GA (Genetic Optimization algorithm). It is proved that GA method is fast and easy tool to enable the planners to select accurate and the optimum size of generators to improve the system voltage profile in addition to reduce the active and reactive power loss. GA fitness function is introduced including the active power losses, reactive power losses and the cumulative voltage deviation variables with selecting weight of each variable. GA fitness function is subjected to voltage constraints, active and reactive power losses constraints and DG size constraint. 展开更多
关键词 GA (genetic algorithm) DG (distributed generators) cumulative voltage deviation active and reactive power loss WEIGHT MATLAB load flow.
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