赵达维, 刘天琪, 李兴源. 基于保险理论的黑启动辅助服务定价方法[J]. 电力系统自动化, 2014, 38(13): 85-91.
引用本文: 赵达维, 刘天琪, 李兴源. 基于保险理论的黑启动辅助服务定价方法[J]. 电力系统自动化, 2014, 38(13): 85-91.
ZHAO Dawei, LIU Tianqi, LI Xingyuan. Insurance Theory Based Pricing Method for Black-start Ancillary Service[J]. Automation of Electric Power Systems, 2014, 38(13): 85-91.
Citation: ZHAO Dawei, LIU Tianqi, LI Xingyuan. Insurance Theory Based Pricing Method for Black-start Ancillary Service[J]. Automation of Electric Power Systems, 2014, 38(13): 85-91.

基于保险理论的黑启动辅助服务定价方法

Insurance Theory Based Pricing Method for Black-start Ancillary Service

  • 摘要: 以黑启动辅助服务补偿费用采取"取于用户,补偿网源"的思路为出发点,提出了一种基于保险理论的服务定价方法。首先,定义黑启动辅助服务保险合同参与主体,设计符合系统恢复特征的保险标的,提出以协议时间作为投保人与保险人之间的保险约定:大停电发生后,保险人应在协议时间内向投保人提供恢复功率,否则被视为违约。然后,详细阐述各项合同要素的计算方法。最后,将服务最优定价问题转化为求解最优协议时间:第1步,根据协议时间与不同合同要素的函数关系,获得合同要素曲线间理想交点对应的协议时间,推导临界协议时间,共同作为服务定价优化模型的约束条件;第2步,以主体间概率收益差距最小为目标函数,计及上述约束,计算最优协议时间,从而求得相应的服务价格。针对某实际系统进行算例分析,说明了所提方法的应用步骤和基本特征。

     

    Abstract: An insurance theory based pricing method is proposed by proceeding from the idea of using the compensation fee from black-start ancillary service to power consumers to remunerate power grid corporation and power generation enterprises.First of all,the entities of black-start ancillary service insurance contract are defined and the insurance object conforming to the characteristics of system restoration is designed.Furthermore,the protocol time(PT)is proposed to be the insurance stipulation between policy-holder and insurer:once blackout occurred,the insurer should provide restored power to the policyholder within the PT,otherwise it will be considered a breach of contract.Then,the steps to calculate contract elements are elaborated.Finally,service pricing optimization is converted to solving the optimal PT:in the first step,according to the functional relation between PT and different contract elements,four kinds of ideal PT corresponding to the ideal crossing points between element curves are obtained,and the critical PT is deduced,jointly serving as the constraints on the service pricing optimization model;in the second step,minimizing the probabilistic yield gap between different contract entities is considered as the objective function,including the above constraints simultaneously,the optimal PT can be calculated,thus determining the corresponding service price.An actual power system based example analysis has demonstrated the detailed procedure and basic characteristics of the proposed method.

     

/

返回文章
返回