文章摘要
晋宏杨,孙宏斌,牛涛,等.考虑风险约束的高载能负荷-风电协调调度方法[J].电力系统自动化,2019,43(16):9-16. DOI: 10.7500/AEPS20180901001.
JIN Hongyang,SUN Hongbin,NIU Tao, et al.Coordinated Dispatch Method of Energy-extensive Load and Wind Power Considering Risk Constraints[J].Automation of Electric Power Systems,2019,43(16):9-16. DOI: 10.7500/AEPS20180901001.
考虑风险约束的高载能负荷-风电协调调度方法
Coordinated Dispatch Method of Energy-extensive Load and Wind Power Considering Risk Constraints
DOI:10.7500/AEPS20180901001
关键词: 风电不确定性  风险约束  高载能负荷  机组组合  鲁棒优化
KeyWords: uncertainty of wind power  risk constraints  energy-intensive load  unit commitment  robust optimization
上网日期:2019-04-11
基金项目:国家科技支撑计划资助项目(2015BAA01B04);国家自然科学基金创新研究群体科学基金资助项目(51321005)
作者单位E-mail
晋宏杨 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
孙宏斌 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
shb@tsinghua.edu.cn 
牛涛 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
郭庆来 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
王彬 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
摘要:
      由于可离散调节的高载能负荷不适用于在短时内连续调节的特点和风电出力的不确定性,高载能负荷参与消纳风电时,会导致负荷用电与风电出力不匹配的问题。针对该问题,提出一种计及负荷方风险约束的高载能负荷-风电协调调度方法。首先,基于风电可接纳区间的概念和风电场出力概率密度分布,建立电网对风电的接纳能力的模型。接着,根据电网接纳能力外的弃风情况,构建了与高载能负荷用电计划增量和风电弃风量相关联的风险约束,使负荷方能够在一定程度上规避由于风电不足导致的负荷增量与风电新增发电量不匹配的风险。然后,基于高载能负荷调节对风电可接纳区间的影响,建立了以风电消纳为目标的鲁棒机组组合模型,保证线路容量约束的满足。最后,在IEEE RTS-79系统中对所提方法进行了验证,并分析了高载能负荷侧的保守程度对协调调度的影响。
Abstract:
      When energy-intensive load participates in wind power accomodation, the characteristics of the discretely adjustable energy-intensive load is not suitable for continuous regulation in short term and wind power output is uncertain, which may lead to a mismatch between wind power output and load power. For the above problem, a coordinated dispatch method of energy-extensive load and wind power considering risk constraints is proposed. Firstly, the admissible region of wind power(ARWP)and the probability density distribution of output in wind farm are applied to model the ability of power grid to integrate wind power. Secondly, based on the wind power curtailment beyond the ARWP, risk constraints associated with incremental power plan of energy-intensive load and wind power curtailment are conducted, which could make loads avoid the risks when the planned power increment of energy-intensive loads and wind power curtailment are mismatched. Thirdly, based on the influence of energy-intensive load adjustments on ARWP, a model of robust unit commitment with wind power accomodation as the target is established to ensure the satisfaction of line capacity constraints. Finally, the IEEE RTS-79 system is applied to test the proposed approach and the influence of the conservative levels of energy-intensive load on coordinated dispatch is analyzed.
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