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Dynamic Coordination Optimization Model of Regional and Provincial AGC Unit Control for Ultra-high Voltage Line Interconnected Power System

机译:超高压线路互联电力系统区域和省级AGC机组控制的动态协调优化模型

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Hierarchical control model of AGC is adopted by regional power grid of China, which is divided into two levels, namely, one regional dispatching center (RD) and several provincial dispatching centers (PD). The RD and each PD have their own control assessment objectives, however, the load, RD and PD AGC units are located in the different PD control areas. Hence the cross-regulation uncoordinated control of RD and PD AGC units is not only affects the control performance standard (CPS) of the PD but also directly impacts the adjustment cost of AGC units of them. Aiming at this problem, a dynamic coordination optimization model of regional and provincial AGC unit control for the interconnected power system (DCOMAGCUC) is proposed in this paper to improve the effect and adjustment performance of AGC strategy. In this control strategy, the minimum AGC ancillary service cost is considered as objective function, the power balances function of the tie line between different province power girds and the ultra-high voltage (UHV) line are considered as equality constraints, the CPS1 and CPS2 of each PD control area, the UHV line between the different regional power grids and other unit's constraints are considered as inequality constraints, and the adjustment instruction and the adjustment rate of all AGC units of RD and PD are considered as control variables, and the tie line power deviation as well as frequency deviation as dependent variables. The model of DCOMAGCUC is a complex nonlinear optimization problem with continuous and discrete variables. Then, an immunity evolutionary programming algorithm is adopted to solve the DCOMAGCUC. The experiment results and comparisons are obtained by DCOMAGCUC and the traditional PI control strategy, which indicated that the proposed DCOMAGCUC can enhance the effect and performance of AGC
机译:我国区域电网采用AGC的分级控制模型,分为一个区域调度中心(RD)和几个省调度中心(PD)两个层次。 RD和每个PD都有自己的控制评估目标,但是,负载,RD和PD AGC单元位于不同的PD控制区域中。因此,RD和PD AGC单元的交叉调节不协调控制不仅影响PD的控制性能标准(CPS),而且直接影响其AGC单元的调整成本。针对这一问题,本文提出了一种针对互联电网的区域和省级AGC机组控制的动态协调优化模型,以提高AGC策略的效果和调整性能。在这种控制策略中,将最小的AGC辅助服务成本视为目标函数,将不同省份电网和超高压(UHV)线之间的联络线的功率平衡函数视为等式约束,CPS1和CPS2在每个PD控制区域中,将不同区域电网之间的特高压线路和其他单元的约束条件视为不平等约束条件,将RD和PD的所有AGC单元的调整指令和调整率均视为控制变量,并线路功率偏差和频率偏差作为因变量。 DCOMAGCUC模型是具有连续变量和离散变量的复杂非线性优化问题。然后,采用免疫进化规划算法求解DCOMAGCUC。通过DCOMAGCUC和传统的PI控制策略获得的实验结果和比较结果表明,该DCOMAGCUC可以增强AGC的效果和性能。

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