基于竞争博弈的风电爬坡协同控制策略

发布时间：2018-02-20 19:24

本文关键词： 风电爬坡竞争博弈贡献度纳什均衡虚拟电厂　出处：《中国电机工程学报》2014年25期 　论文类型：期刊论文

【摘要】：风电爬坡事件对电网的冲击较大,甚至造成停电事故,研究相应的风电有功控制策略十分必要。分析场群控制对风电控制的改善效果,提出一种基于竞争博弈的风电爬坡协同控制策略。基于风电场出力调整量、响应速度以及维持功率的能力,提出风电场贡献度指标。通过合理设置风电场贡献度指标参数,将有效调整的博弈策略构造为纳什均衡点,使得风电场能够积极、自愿参与虚拟电厂控制。所提策略在考虑机组状态分类的基础上,通过k-means算法,快速将风电场划入不同虚拟电厂;虚拟电厂根据计划出力制定调整计划,风电场通过有效调整、升出力过调整和降出力欠调整的博弈策略,实现风电场贡献度指标最大化。仿真结果表明,所提策略能够使得风电场积极响应虚拟电厂控制需求,限制风电场采取背离虚拟电厂控制需求的博弈策略,保证虚拟电厂出力能够较好跟踪计划出力指令。
[Abstract]:The impact of wind power on the grid climbing event is large, or even cause blackouts, the research of wind power active corresponding control strategy is necessary. Analysis of field control of wind power control effect, this paper proposes a cooperative control strategy of wind power climbing competition based on game theory. Adjust the amount of wind power output based on the response speed and the ability to maintain power, put forward the index of wind farm contribution. By reasonably setting the wind contribution index, game strategy structure will effectively adjust the Nash equilibrium point, the wind farm can actively, voluntarily participate in the virtual power plant control. The proposed strategy based on state classification algorithm, using k-means algorithm, fast wind farm put into different virtual power plant; virtual power plant according to the plan formulated output adjustment plan, wind farms through effective adjustment, rise of power adjustment and derating owe adjustment game strategy, real The wind contribution index maximization. The simulation results show that the proposed strategy can make positive response to wind farm control requirements of virtual power plant, wind farm to deviate from the game strategy of virtual power plant control requirements, ensure the virtual power plant can track the generation scheduling instructions.

【作者单位】：电网智能化调度与控制教育部重点实验室(山东大学);
【基金】：国家重点基础研究发展计划项目(973项目)(2012CB215101) 国家自然科学基金项目(51177092)~~
【分类号】：TM614

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