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火电燃煤机组深度调峰消纳控制技术优化 被引量:2

Optimization of deep peak regulation and consumption control technology for coal-fired power units
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摘要 可再生能源的大规模并网,使火电厂的调峰经济负担大幅度增加,造成火电机组在深度调峰过程中缺乏主动参与调峰的积极性。为了解决这一问题,提出研究火电燃煤机组深度调峰消纳控制技术优化方法。分析了火电燃煤机组出力变化,构建了包含三个层次的储能辅助火电燃煤机组深度调峰的分层控制优化模型。上层模型优化目标为运行过程经济性与净负荷标准差最优;中层模型优化目标为火电燃煤机组整体调峰成本最低;下层模型优化目标为火电燃煤机组运行效益最大化。设定各层模型的约束条件,采用开源求解器CPLEX求解模型。实验研究结果显示,该方法能够有效降低火电深度调峰消纳成本,增强火电燃煤机组调峰消纳的积极性。 The large-scale grid connection of renewable energy has greatly increased the economic burden of peak shaving of thermal power plants,resulting in the lack of motivation for thermal power units to actively participate in peak shaving in the process of deep peak shaving.In order to solve this problem,the optimization method of deep peak shaving and consumption control technology for coal-fired power units was proposed.The output change of coal-fired power units was analyzed,and a hierarchical control optimization model with three levels of energy storage to assist the deep peak shaving of coal-fired power units was constructed.The optimization objective of the upper-level model was to optimize the economy of the operation process and the standard deviation of net load;the optimization objective of the middle-level model was to minimize the overall peak shaving cost of coal-fired power units;and the optimization objective of the lower-level model was to maximize the operating benefits of coal-fired power units.By setting the constraint conditions of each level of the model,the open source solver CPLEX was used to solve the model.The experimental results showed that this method could effectively reduce the cost of deep peak shaving and consumption of thermal power,and enhance the initiative of coal-fired power units for peak shaving and consumption.
作者 闯喜宏 冯志强 李磊 刘明奎 梁龙飞 Chuang Xihong;Feng Zhiqiang;Li Lei;Liu Mingkui;Liang Longfei(GD Power Development Co.,Ltd.,Beijing 100101,China;CHN Energy Inner Mongolia Shanghaimiao Power Generation Limited Company,Ordos Inner Mongolia 016200,China;Beijing ENLANDAR Instrumentation&Control Co.,Ltd.,Beijing 100036,China)
出处 《煤化工》 CAS 2022年第6期65-68,78,共5页 Coal Chemical Industry
基金 国电双维电厂风粉智能监测及一次风调平装置项目(HQYL-GDSW-2019-1019)。
关键词 火电燃煤机组 深度调峰消纳 控制优化 机组出力 优化模型 开源求解器 coal-fired power unit deep peak shaving and consumption control optimization unit output optimization model open source solver
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