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基于两阶段优化的风储联合发电系统日前发电计划模式
引用本文:黄杨,胡伟,陈立. 基于两阶段优化的风储联合发电系统日前发电计划模式[J]. 电力系统自动化, 2015, 39(24): 8-15
作者姓名:黄杨  胡伟  陈立
作者单位:国网成都供电公司, 四川省成都市 610041,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; 清华大学电机工程与应用电子技术系, 北京市 100084,国网成都供电公司, 四川省成都市 610041
基金项目:国家高技术研究发展计划(863计划)资助项目(2011AA05A112)
摘    要:考虑风电日波动性对常规机组启停的影响,为准确刻画系统运行经济性与风电消纳能力的关系,设计了风电最大出力模式、经济运行模式和运行成本控制模式3种风储联合发电系统日前发电计划模式,提出了不同模式的两阶段优化模型及快速求解算法。第1阶段通过储能系统和常规机组协调调度,实现经济性最优或弃风量最小的目标,第2阶段优化则按照经济调度和"三公"调度的原则分配常规机组和风电场的有功出力。提出快速算法削减了模型的寻优空间,大幅提高了优化模型的求解效率。基于IEEE 30节点系统进行仿真分析,验证了所述模型和算法的优越性。

关 键 词:风储联合发电系统   日前发电计划   两阶段优化   机组组合   风电功率预测
收稿时间:2015-02-25
修稿时间:2015-11-09

Day-ahead Generation Scheduling Plan Modes for Large-scale Wind-Storage Combined Power Generation System Based on Two-stage Optimization
HUANG Yang,HU Wei and CHEN Li. Day-ahead Generation Scheduling Plan Modes for Large-scale Wind-Storage Combined Power Generation System Based on Two-stage Optimization[J]. Automation of Electric Power Systems, 2015, 39(24): 8-15
Authors:HUANG Yang  HU Wei  CHEN Li
Affiliation:State Grid Chengdu Power Supply Company, Chengdu 610041, China,State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University, Beijing 100084, China; Department of Electrical Engineering, Tsinghua University, Beijing 100084, China and State Grid Chengdu Power Supply Company, Chengdu 610041, China
Abstract:Considering impacts of wind power daily volatility on the unit commitment of conventional thermal generators, this paper designs three different day-ahead generation scheduling plan modes: maximum wind power output mode, economic operation mode and operation costs control mode. The two-stage optimization models for different scheduling modes and a novel algorithm are also presented. The proposed models can describe the connection between the operation costs and wind power integration capability. The first stage optimization is to minimize the operation costs or wind power curtailments, and the second stage optimization is to allocate load between conventional thermal generators and wind-storage combined generation stations based on fairness and economic principles. A modified IEEE 30-bus system with three actual wind farms is used for verification purposes.This work is supported by National High Technology Research and Development Program of China (863 Program) (No. 2011AA05A112).
Keywords:wind-storage combined power generation system   day-ahead generation scheduling plan   two-stage optimization   unit commitment   wind power forecasts
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