A step-by-step optimization method for closed-loop control of real-time power generation planning

Abstract

The invention discloses a step-by-step optimization method for real-time generation scheduling closed-loop control. The method includes the steps of acquiring various optimization data and determining an optimization space for real-time generation scheduling closed-loop control; respectively building an active power optimization model and a control mode optimization model for real-time generation scheduling closed-loop control; when unit adjusting capacity in a system is insufficient, enabling an active power optimization module to adjust unit output scheduling so as to achieve optimization and transfer of adjustable capacity; if the unit adjusting capacity still cannot satisfy requirements, enabling a control mode optimization module to adjust a control mode of a unit so as to supplement the adjustable capacity level of the system; after step-by-step optimization, obtaining a reasonable real-time generation scheduling closed-loop control result finally. The step-by-step optimization method has the advantages that more reasonable invoking of control resources by a power grid is benefited, and the power grid scheduling fining level is improved.

Description

technical field [0001] The invention belongs to the technical field of power system scheduling automation, and relates to a step-by-step optimization method for real-time power generation planning closed-loop control. Background technique [0002] Power grid dispatching is a multi-cycle progressive and detailed process, including monthly planning, day-ahead power generation planning, real-time power generation planning, automatic generation control (AGC) and many other links with different time scales. Among them, the real-time power generation plan makes rolling corrections to the day-ahead power generation plan according to changes in external conditions, providing more accurate base power for automatic power generation control, realizing the link between day-ahead planning and real-time dispatching, and improving the refined management level of power grid dispatching. At the same time, due to the randomness and volatility of large-scale grid-connected wind power, there is...

AI Technical Summary

Problems solved by technology

[0006] The real-time power generation plan does not fully consider the requirements of AGC regulation performance. On the one hand, it will reduce the execution efficiency of the real-time power generation plan and affect the effect of the real-time plan; on the other hand, it will increase the control pressure of the AGC. Maintain the comprehensive optimal adjustment ability in the future period

As the scale of the power grid continues to expand, the operation of the power grid becomes more and more complex, the real-time operation of the power grid changes more and more, the pressure of peak regulation and frequency regulation of the power grid is increasing day by day, and the operation mode conversion of different types and different control target units is frequent, which will greatly affect the effect of AGC real-time control. It also brings a huge workload to the operators

[0007] Closed-loop control of real-time power generation plan, since the AGC adjustment requirement is considered in the planning process, the problem includes three types of decision-making quantities: the active power output of the unit, the adjustment reserve, and the control mode. Further, the mode conversion and active power distribution (output and reserve) of the generating set It is coupled, and the active power output of the generator set and the regulation reserve are also coupled, which makes the problem more complex, and there is no effective optimization method at present

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