孙冰莹;刘宗歧;杨水丽;王然;李婷婷;

• 1:华北电力大学电气与电子工程学院
• 2:新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司)
• 3:国网芜湖供电公司
• 4:华能北京热电有限责任公司

摘要(Abstract)：

随着储能调频应用规模化发展,在我国容量受限型储能调频服务计量和补偿办法空白阶段,辅助火电机组改善自动发电控制(automatic generation control,AGC)成为其主要运行模式。但现有工程采取满功率补偿策略,不利于储能工况持续性。对此,以储能对AGC指令与机组出力实时偏差量的补偿度为决策变量,以调频性能指标和储能电量平衡度最大化为目标,建立储能充放策略实时优化模型,在一定周期内通过密切度择优的多目标粒子群算法(multi-objective particle swarm optimization,MOPSO)进行决策。基于2台AGC机组数据的仿真实验结果表明:与其他策略相比,补偿度策略在具体场景下对储能可用率和调频性能改善明显;同时,短周期优化更利于性能和储能持续性的致衡;此外,该算法计算耗时满足决策实时需求。

关键词(KeyWords)： 储能;补偿度;火电机组;AGC;多目标粒子群优化

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51507160);; 国家电网公司科技项目(DG71-17-005)~~

作者(Author): 孙冰莹;刘宗歧;杨水丽;王然;李婷婷;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.1466

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