文章摘要
许奕斌,章禹,何宇斌,等.计及灵活性的检修—运行协同优化模型及算法[J].电力系统自动化,2018,42(11):32-40. DOI: 10.7500/AEPS20170622010.
XU Yibin,ZHANG Yu,HE Yubin, et al.Collaborative Optimization Model and Algorithm of Maintenance and Operation Considering Flexibility[J].Automation of Electric Power Systems,2018,42(11):32-40. DOI: 10.7500/AEPS20170622010.
计及灵活性的检修—运行协同优化模型及算法
Collaborative Optimization Model and Algorithm of Maintenance and Operation Considering Flexibility
DOI:10.7500/AEPS20170622010
关键词: 灵活性  场景分析  协同优化  检修决策  机组组合  改进Benders分解  拉格朗日松弛
KeyWords: flexibility  scenario analysis  collaborative optimization  maintenance decision  unit commitment  improved Benders decomposition  Lagrangian relaxation
上网日期:2018-03-06
基金项目:国家自然科学基金重点项目(51537010)
作者单位E-mail
许奕斌 浙江大学电气工程学院, 浙江省杭州市 310027  
章禹 浙江大学电气工程学院, 浙江省杭州市 310027  
何宇斌 浙江大学电气工程学院, 浙江省杭州市 310027  
郭创新 浙江大学电气工程学院, 浙江省杭州市 310027 guochuangxin@zju.edu.cn 
朱炳铨 国网浙江省电力公司, 浙江省杭州市 310027  
项中明 国网浙江省电力公司, 浙江省杭州市 310027  
摘要:
      为提升风电并网条件下电力系统的运行灵活性,提出一种结合场景分析和协同优化的检修—运行决策方法。采用K-medoids聚类方法获得风电出力典型场景集,同时根据典型性评估指标确定目标场景集规模。以经济性和灵活性为目标,建立融合多场景经济调度的“检修—运行”分层协同优化模型。为提高模型求解效率,引入对潮流安全违约“轻容忍”的改进Benders分解法,降低运行优化主问题的约束矩阵维数。通过拉格朗日松弛技术及乘子更新机制,实现检修和运行的协同寻优。算例测试验证了所述模型及算法能有效实现经济性及灵活性更优的检修—运行决策。
Abstract:
      To improve the operation flexibility of power system with integrated wind power, a method of maintenance and operation decision based on scenario analysis and collaborative optimization is proposed. The typical scenario set of wind power output is obtained via K-medoids clustering method, and the target scenario set size is determined according to the typicality evaluation indices. With economy and flexibility as the goal, a maintenance-operation bilevel collaborative optimization model combined with multi-scenario economic dispatch is formulated. To improve the solving efficiency, an improved Benders decomposition method with light tolerance of power flow limit violation is introduced to reduce the dimension of the constraint matrix in the main problem of operation optimization. Lagrangian relaxation technique and multiplier update mechanism help to coordinate the maintenance schedule and operation optimization. The case study shows that the proposed method can effectively optimize the economy and flexibility of maintenance and operation decision.
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