摘要
微电网由风力发电机与燃油/燃气发电机联合供电,因无法准确预测接下来1 h内的风力发电量,该不确定性在很大程度上会影响小时前调度的准确性。因此,在供电侧利用信息差决策理论(IGDT)提出风险管理模型,并利用预测校正近端乘子(PCPM)法设计得到小时前最优电价。基于该电价的需求响应机制,实现了用户侧效益、供电侧效益和社会效益的最大化,同时,最大化风电可波动区间,使得供电侧免受风电不确定性所造成风险的影响。最后,通过数值仿真算例验证了本文所提微电网小时前最优调度框架的有效性。
The supply of the micro-grid was the coordination of a wind power generator and a fuel/gas generator.Because the wind power generation in the next hour cannot be predicted accurately,this uncertainty will largely affect the accuracy of hour-ahead scheduling.Therefore,the risk management model based on the information gap decision theory(IGDT)was proposed in the supply side.And an optimal hour-ahead electricity price was designed by the predictor corrector proximal multiplier(PCPM)algorithm.The demand response mechanism based on the price could maximize the profit of the demand side,the supply side and the society.In the meantime,the region where the wind power generation was permitted to fluctuate was maximized.Therefore,the supply side was protected from the risk arising from the uncertainty of wind power generation.Finally,the effectiveness of the optimal hour-ahead scheduling in micro-grid was validated by the numerical simulation example.
作者
丰阔
李金蓉
刘智伟
FENG Kuo;LI Jinrong;LIU Zhiwei(School of Power&Mechanical Engineering,Wuhan University,Wuhan 430072,China;School of Automation,Huazhong University of Science&Technology,Wuhan 430074,China)
出处
《河南科技大学学报(自然科学版)》
CAS
北大核心
2019年第1期47-53,109,共8页
Journal of Henan University of Science And Technology:Natural Science
基金
国家自然科学基金项目(61673303)
关键词
需求响应
信息差决策理论
风电不确定性
电价定价机制
demand response
information gap decision theory
wind power uncertainty
pawer pricing mechanism