文章摘要
税月,刘俊勇,高红均,等.考虑风电不确定性的电气能源系统两阶段分布鲁棒协同调度[J].电力系统自动化,2018,42(13):43-50. DOI: 10.7500/AEPS20171218008.
SHUI Yue,LIU Junyong,GAO Hongjun, et al.Two-stage Distributed Robust Cooperative Dispatch for Integrated Electricity and Natural Gas Energy Systems Considering Uncertainty of Wind Power[J].Automation of Electric Power Systems,2018,42(13):43-50. DOI: 10.7500/AEPS20171218008.
考虑风电不确定性的电气能源系统两阶段分布鲁棒协同调度
Two-stage Distributed Robust Cooperative Dispatch for Integrated Electricity and Natural Gas Energy Systems Considering Uncertainty of Wind Power
DOI:10.7500/AEPS20171218008
关键词: 电气综合系统  优化调度  分布式鲁棒  风电
KeyWords: integrated electricity and natural gas system  optimized dispatch  distributed robust  wind power
上网日期:2018-06-04
基金项目:中央高校基本科研业务费专项基金资助项目(YJ201750);国家电网公司科技项目(SGSCJY00JHJS201700009);国家自然科学基金重点项目(5143000228)
作者单位E-mail
税月 四川大学电气信息学院, 四川省成都市 610065  
刘俊勇 四川大学电气信息学院, 四川省成都市 610065  
高红均 四川大学电气信息学院, 四川省成都市 610065 e-gaohongjun@163.com 
邱高 四川大学电气信息学院, 四川省成都市 610065  
胥威汀 国网四川省电力公司经济技术研究院, 四川省成都市 610000  
苟竞 国网四川省电力公司经济技术研究院, 四川省成都市 610000  
摘要:
      燃气轮机、电转气装置的应用加深了电气能源系统间的耦合关系,为消纳风电提供了新途径。同时,传统的随机规划和鲁棒优化算法在处理风电出力不确定性时均存在一定的局限和不足。基于此,将分布鲁棒优化方法应用到电气能源系统的经济调度问题中,建立了以燃气轮机、电转气装置为耦合元件的两阶段调度模型。模型的第一阶段以综合系统总成本为目标函数,同时融合了风电预测场景信息,制定出包含机组启停计划、机组计划出力值、天然气计划供气量的日前鲁棒调度方案。基于日前调度计划,模型的第二阶段(实时运行层面)通过机组出力调整、天然气供气量调整以应对风电的不确定性,并综合1-范数和∞-范数同时约束不确定性概率分布置信集合。整体两阶段分布鲁棒协同调度模型采用列与约束生成(CCG)算法进行求解。最后,通过算例验证了分布式鲁棒优化算法的有效性。
Abstract:
      Application of gas-fired units and power-to-gas devices promotes coupling between integrated electricity and natural gas system, providing an alternative solution for the wind power accommodation. Also, the traditional stochastic optimization and robust optimization methods may result in uneconomic or conservative decisions in dealing with the uncertainty problems. Based on this background, a two-stage dispatch model is proposed, in which gas-fired units and power-to-gas devices are taken as coupling elements, by using the distributed robust optimization method in economic dispatch problems of electricity and natural gas energy system. In the first stage of the model, the objective function is the total cost of the integrated system, and the forecast wind power information is also considered, and the day-ahead robust dispatch scheme containing unit commitment plan, unit planned output and planned gas consumption is established. In the second stage, the output of generation units and the gas supply of natural gas source are adjusted in the real-time dispatch. Also, the 1-norm and ∞-norm are simultaneously included to constrain the confidence set of wind power probability distribution in order to find the optimal solution under the worst probability distribution. The model is solved by the column-and-constraint algorithm. Finally, numerical results verify the effectiveness of dstributed robust optimization algorithm.
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