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

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