计及资源互补特性的风光水储耦合系统运行策略及求解算法

An operation strategy and solution algorithm for wind-PV-hydro-ES coupling system considering resources complementary characteristic

为充分利用不同电力资源间的互补特性,文章以风电、光伏发电、水电、火电和储能设备耦合的能源系统为研究对象,讨论其优化运行策略。首先,选取最大化运营收益、最小化弃能成本和最小化出力波动为优化目标,建立多目标优化运行模型,并考虑了储能系统运行模式对耦合能源系统的影响。然后,通过计算耦合能源系统的投入收益表,建立了基于粗糙集理论的目标权重计算方法,将多目标模型转换为单目标模型;选取负荷追踪度、水电二次调峰能力和单位发电煤耗,作为耦合能源系统互补特性评估指标。最后,选取IEEE 14节点5机系统,与WPP,PV,HS和ESD相连组成仿真系统,结果显示:耦合能源系统能够充分利用不同电源互补特性,促进风电和光伏发电并网;储能系统运行模式直接影响系统运行结果,OEE策略能最大化发挥ESD运行效益,但会损害其运行寿命;OEE策略下ESD与风、光机组最优容量比在夏季和冬季分别为[0.62,0.77]和[0.92,1],LLC策略下分别为[1,1.08]和[1.23,1.31]。因此,所提模型能够根据外部资源条件和自身意愿提供有效的决策工具。

To utilize the complementary feature of different power sources, wind power plant and photovoltaic power, Hydropower station(HS), thermal power plant and energy storage device(ESD) are integrated into a integrated energy system(IES). Firstly, a multi-objective mode is constructed under the optimization objectives of the maximum operation revenue, the minimum abandoned energy cost and the minimum output fluctuation considering ESD’s operation modes:Longest life cycle(LLC) and optimum economic efficiency(OEE) strategy. Secondly, a solution algorithm is construct based on the payoff table of the multi-objective model with the utilization of the rough set method. Thirdly, IES’s complementary features are evaluated by load tracking degree, HS’ secondary peaking capacity and unit coal consumption. Finally, the IEEE 14 bus system with 5 thermal power units, WPP, PV HS and ESD is taken as the simulation system. The simulation analysis show:(1)IES could utilize the complementary feature of different power sources, OEE mode could better optimize the operation results of IES scheduling, but the LLC mode could ensure ESD’s life cycle.(2) IES operation results reach optimum in summer when the capacity ratios of ESD and WPP, PV belong to [0.62, 0.77] in OEE mode and [1, 1.08] in LLC mode.(3)But in winter, the ratios are [0.92, 1] in OEE mode and [1.23, 1.31] in LLC mode. Therefore, the proposed model could provide effective decision support tool for decision makers considering the actual external resource conditions and their own subjective wishes.