In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid(V2G)technology,a reasonable electric vehicle discharge electricity price is established through the evolutionary game...In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid(V2G)technology,a reasonable electric vehicle discharge electricity price is established through the evolutionary game model.A game model of power grid companies and electric vehicle users based on the evolutionary game theory is established to balance the revenue of both players in the game.By studying the dynamic evolution process of both sides of the game,the range of discharge price that satisfies the interests of both sides is obtained.The results are compared with those obtained by the static Bayesian game.The results show that the discharge price which can benefit both sides of the game exists in a specific range.According to the setting of the example,the reasonable discharge electricity price is 1.1060 to 1.4811 yuan/(kW·h).Only within this range can the power grid company and electric vehicle users achieve positive interactions.In addition,the evolutionary game model is easier to balance the interests of the two players than the static Bayesian game.展开更多
文摘针对低压电流互感器表面裂纹的提取与判定,提出基于渗透算法和改进型OPTA(One-Pass Thinning Algorithm)的互感器表面裂纹检测算法。首先获取互感器表面的灰度图像;其次根据裂纹区域像素值、亮度变化,通过设定种子像素点、亮度阈值,利用渗透算法渗透得到二值图;再次从裂纹连通性入手,利用改进型OPTA提取ROI(Region of Interest)的骨架,骨架由单像素点组成;最后利用裂纹具有分叉性的特点,像素点的邻域点个数超过2的即可判定为裂纹。实验表明,渗透算法能够有效地从图像中提取出ROI,并保持了ROI的线性特征,改进型OPTA使ROI完全细化为单像素图像,提出的邻域点判别法检测效率在97%以上,相较于所提其他检测方法有明显提高。
基金The National Natural Science Foundation of China(No.51577028).
文摘In order to protect the interests of electric vehicle users and grid companies with vehicle-to-grid(V2G)technology,a reasonable electric vehicle discharge electricity price is established through the evolutionary game model.A game model of power grid companies and electric vehicle users based on the evolutionary game theory is established to balance the revenue of both players in the game.By studying the dynamic evolution process of both sides of the game,the range of discharge price that satisfies the interests of both sides is obtained.The results are compared with those obtained by the static Bayesian game.The results show that the discharge price which can benefit both sides of the game exists in a specific range.According to the setting of the example,the reasonable discharge electricity price is 1.1060 to 1.4811 yuan/(kW·h).Only within this range can the power grid company and electric vehicle users achieve positive interactions.In addition,the evolutionary game model is easier to balance the interests of the two players than the static Bayesian game.
