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计及风电消纳与发电集团利益的日前协调优化调度 被引量:22

Coordinated Day-Ahead Optimal Dispatch Considering Wind Power Consumption and the Benefits of Power Generation Group
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摘要 消纳大规模风电增加了系统调峰难度,统一调度调峰资源可能使有深度调峰能力的机组产生偏离成本的经济损失与环境污染,难以保障机组调峰的公平性与积极性。提出集中调度与发电集团自主调度相协调的日前调度模型,将日前优化调度分为两阶段进行:第1阶段沿用集中经济调度方式,以系统煤耗最低为目标形成发电计划,并由机组发电计划得到各集团总发电计划;第2阶段各集团保持总发电计划不变,以集团发电成本最低为目标进行内部优化,重新形成机组发电计划。各集团作为独立利益主体,仅在第2阶段目标中计入机组差异、深度调峰、负荷互动等因素。经IEEE 30母线算例验证,该模型可缓解机组调峰压力,降低弃风率,减少发电集团与系统的运行成本。 Large-scale wind power consumption increases the difficulty of system peak shaving.The unified dispatching of peaking resources may cause economic losses and environmental pollution that deviate from cost for units with deep peak shaving capability,and it is difficult to guarantee the fairness and enthusiasm of the peak shaving of the units.A day-ahead optimal dispatch model that combines centralized scheduling with the self-scheduled scheduling of power generation groups is proposed.Day-ahead optimal dispatch is divided into 2 stages.The first stage follows the traditional centralized scheduling method.The power generation plan is formed with the goal of the lowest system coal consumption,then the total power generation plan of each group is obtained according to the unit power generation plan.In the second stage,each group maintains the total power generation plan unchanged and internally optimizes the group's lowest power generation cost,then re-forms each unit's power generation plan.As an independent interest group,each power generation group includes factors such as unit difference,deep peak shaving,and load interaction in the second stage target.The IEEE30 busbar example verifies that the model can alleviate the peaking pressure of the unit,reduce the rate of abandoned wind,and reduce the operating costs of the power generation group and the system.
作者 麻秀范 王戈 朱思嘉 余思雨 Ma Xiufan;Wang Ge;Zhu Sijia;Yu Siyu(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing,102206,China)
出处 《电工技术学报》 EI CSCD 北大核心 2021年第3期579-587,共9页 Transactions of China Electrotechnical Society
关键词 日前协调优化调度 风电消纳 深度调峰 负荷侧互动 Coordinated day-ahead optimal dispatch wind power consumption deep peaking load side interaction
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