基于SCUC的可入网混合电动汽车优化调度方法

An SCUC-based Optimization Approach for Power System Dispatching with Plug-in Hybrid Electric Vehicles

在可入网混合电动汽车(PHEV)有望规模化应用的背景下,以传统的计及安全约束的机组最优组合(SCUC)问题为基础,发展了能够容纳PHEV的电力系统优化调度数学模型。所发展的模型以保证系统安全运行为前提,兼顾了PHEV车主的经济效益与发电的碳排放成本。利用PHEV作为可移动电量储存单元的特性,将模型解耦为机组最优组合与计及交流潮流约束的充/放电计划优化2个子模型。应用混合整数规划方法和牛顿—拉夫逊潮流算法迭代求解优化问题,可以同时获取日前机组调度计划和各时段的PHEV最优接纳容量及充/放电计划等结果。最后,以6节点和IEEE 118节点2个系统为例,验证了所构建模型的正确性和有效性。

As plug-in hybrid electric vehicles（PHEVs） are expected to be widely used in the near future,a mathematical model is developed based on the traditional security constrained unit commitment（SCUC） formulation to address the power system dispatching problem with PHEVs taken into account.With the premise of power system secure operation,both the economic benefits for PHEV users and the carbon-emission costs are taken into account.Then,the features of PHEVs as mobile energy storage units are applied to decouple the developed model into two sub-models,involving the unit commitment model and the charging and discharging scheduling model that includes AC power flow constraints.The optimal plug-in capacities for PHEVs and the schemes,including when and where charging and discharging occur,are obtained through a mixed integer programming algorithm and the Newton-Raphson load flow algorithm in addition to the optimal day-ahead unit commitment scheme.Finally,the feasibility and efficiency of the proposed model are verified with a 6-bus test system and the IEEE 118-bus test system.