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Peak shaving operation optimization of high proportion new energy power generation considering wind-solar complementation and source-load coupling

GU Yao-qin1, ZHANG Rui-ping1, WANG Ning-bo2,3, MA Ming2,3, DONG Hai-ying1


1. School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; 2. Wind Power Technology Center of State Grid Gansu Electric Power Company, Lanzhou 730070, China; 3. Key Laboratory for New Energy Grid-Connect Operation Control of Gansu Province, Lanzhou 730070, China)


 

Abstract:To optimize peaking operation when high proportion new energy accesses to power grid, evaluation indexes are proposed which simultaneously consider wind-solar complementation and source-load coupling. A typical wind-solar power output scene model based on peaking demand is established which has anti-peaking characteristic. This model uses balancing scenes and key scenes with probability distribution based on improved Latin hypercube sampling (LHS) algorithm and scene reduction technology to illustrate the influence of wind-solar on peaking demand. Based on this, a peak shaving operation optimization model of high proportion new energy power generation is established. The various operating indexes after optimization in multi-scene peaking are calculated, and the ability of power grid peaking operation is compared whth that considering wind-solar complementation and source-load coupling. Finally, a case of high proportion new energy verifies the feasibility and validity of the proposed operation strategy.


Key words:wind-solar complementation; source-load coupling; improved Latin hypercube sampling (LHS) algorithm; typical scene; peak shaving operation optimization

 

CLD number:TM734     Document code:A


Article ID:1674-8042(2019)04-0379-10     doi:10.3969/j.issn.1674-8042.2019.04.010

 

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考虑风光互补及源荷耦合关系的高比例新能源发电调峰运行优化


顾瑶琴1, 张蕊萍1, 汪宁渤2,3, 马  明2,3, 董海鹰1


1. 兰州交通大学 自动化与电气工程学院, 甘肃 兰州  730070; 2. 国网甘肃省电力公司风电技术中心, 甘肃 兰州  730070; 3. 甘肃省新能源并网运行控制重点实验室, 甘肃 兰州  730070)

 

  :  为优化高比例新能源接入电网时的调峰运行, 提出了同时考虑风光互补及源荷耦合关系的评价指标, 在此基础上对具有反调峰特性的新能源发电建立了基于调峰需求的典型出力场景模型。 该模型以平衡场景、基于改进拉丁超立方采样(Latin hypercube sampling, LHS)算法和场景削减技术的关键场景及其概率分布表征风光接入对电网运行和调峰需求的影响。 根据风光出力典型场景模型, 建立了高比例新能源发电的调峰运行优化模型。 采用多场景调峰运行优化, 计算各项运行指标, 对比分析了兼顾风光互补和源荷耦合的调峰运行能力。 以一个实际的比例新能源发电场为例设计算例, 验证了所提运行策略的可行性和有效性。


关键词:  风光互补; 源荷耦合; 改进LHS算法; 典型场景; 调峰运行优化

 

引用格式:  GU Yao-qin, ZHANG Rui-ping, WANG Ning-bo, et al. Peak shaving operation optimization of high proportion new energy power generation considering wind-solar complementation and source-load coupling. Journal of Measurement Science and Instrumentation, 2019, 10(4): 379-388. [doi: 10.3969/j.issn.1674-8042.2019.04.010]


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