基于二阶锥规划的含大规模风电接入的直流电网储能配置

随着风电规模的快速增长,其消纳问题日益突出,直流电网结合储能技术能为风电大规模消纳提供一定技术支撑。以典型日下储能日化投资、火电机组运行成本与弃风惩罚成本之和最小为目标,提出了一种直流电网储能容量规划模型。模型综合考虑了火电机组、电池储能、抽蓄机组的协调运行,为非凸非线性模型,无法通过求解器直接求解。采用分段线性化、大M法及锥松弛等手段将模型转化为等效的二阶锥规划模型,可调用CPLEX求解器获得模型的全局最优解。最后,以风电汇集的多端直流系统为例进行仿真验证,结果表明配置的储能可提高系统风电消纳能力,降低系统运行成本,验证了所提模型的有效性。

Research on energy storage system planning of DC grid with large-scale wind power integration

With the rapid growth of wind power scale, the problem of wind power consumption is becoming increasingly prominent, and the combination of DC grid and energy storage technology can provide certain technical support for large-scale wind power consumption. In order to minimize the sum of typical daily energy storage investment, thermal power unit operation cost and wind abandonment penalty cost, this paper proposes a DC power grid energy storage capacity planning model. The model considers the coordinated operation of thermal power units, battery energy storage units and pumped storage units. It is a non-convex nonlinear model, which can not be solved directly by the solver. In this paper, by means of piecewise linearization, large M method and cone relaxation, the model is transformed into an equivalent second-order cone programming model. Finally, the simulation results of the multi terminal DC system with wind power integration show that the energy storage can improve the wind power consumption capacity of the system and reduce the operating cost of the system, verifying the effectiveness of the proposed model. This work is supported by Science and Technology Project of State Grid Corporation of China (No. NYN17201600314).