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基于风光荷储联合优化的虚拟电厂竞价策略
作者姓名:刘佳楠  李鹏  杨德昌
作者单位:天津大学电气自动化与信息工程学院, 天津 300072;中国农业大学信息与电气工程学院,北京 100083
基金项目:国家自然科学青年基金资助项目(51407186)
摘    要:基于电力市场的竞价机制和虚拟电厂的运行机制,构建了以风电-光伏-负荷-储能联合运行体利润最大化为目标的优化决策模型。该模型充分考虑新能源机组,储能与负荷运行时的各项技术约束条件,通过虚拟电厂中风-光-荷-储间协调耦合运行的发电策略与出力安排等,实现新能源与电动汽车联合参与市场竞价。构建算例验证了该风光储联合运行优化决策模型的正确性与有效性,并通过对多组场景对比,分析新能源出力波动性对风-光-荷-储联合运行模式的竞价策略的影响。

关 键 词:虚拟电厂  新能源  出力波动  联合优化
收稿时间:2017/6/30 0:00:00
修稿时间:2017/7/25 0:00:00

Bidding Strategy Analysis of Virtual Power Plant Based on Joint Operation of Wind-solar-load-storage System
Authors:LIU Jianan  LI Peng  YANG Dechang
Affiliation:School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China; College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract:According to the bidding mechanism in electricity market and operating principles, a profit-maximization optimized decision model is constructed under the environment of electric power market with the joint wind, solar units, loads and energy storage systems. Various technical constraints of new energy units and storages are fully considered in this model, the participation of new energy and electric vehicle in the market bidding through power generation strategy and the output arrangement of the coordinated operation of the virtual power plant are realized. Numerical examples are implemented to validate the correctness and validity of the optimal decision-making model of joint wind, solar units, loads and energy storage systems. The influences of the renewable energies output fluctuations on the joint system bidding strategies are compared under multi-operating scenarios.
Keywords:virtual power plant  new energy  output fluctuation  joint optimization
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