A method, system and device for asynchronous networked DC power planning optimization

Abstract

The invention discloses an asynchronous networking DC power planning optimization method, system and device. The method comprises: establishing an objective function of a DC power planning model at the DC sending end of the AC / DC asynchronous networking, taking the minimum maximum DC power deviation as the optimization objective ; Establish a DC power planning model without linear constraints without integer variables; establish a DC power planning model with linear constraints with 0‑1 integer variables; 1 integer variable linear constraints to get the optimized DC power plan. By establishing the linear optimization objective of minimizing the maximum direct current power deviation of the sending end, the invention combines two types of linear constraints to classify the asynchronous networking direct current power planning into a unified large-scale integer linear programming problem, which has high accuracy, Reliability and efficiency. The invention can be widely used in the field of power system scheduling optimization.

Description

technical field [0001] The invention relates to the field of power system scheduling optimization, in particular to an asynchronous networking DC power planning optimization method, system and device. Background technique [0002] The power system is a complex dynamic system with high dimensionality and strong nonlinearity, and its operation stability is the primary issue for safe production of the power grid. For a long time, the day-ahead operation plan of the power grid has been the main basis for the power grid dispatching department to determine the future operation mode of the power grid and guide power production, and it is developing in the direction of combining operation planning with static and transient safety checks. A reasonable day-ahead scheduling operation plan is directly related to the safe and economical operation of the power grid in the future. [0003] Due to the uneven distribution of energy and loads, long-distance, large-capacity, and ultra-high-vo...

AI Technical Summary

Problems solved by technology

However, it is difficult to fully consider the fluctuation characteristics of the outgoing DC at the sending end (such as the Yunnan Provincial Power Grid) and the matching peak-shaving characteristics of the receiving end (such as the Guangdong Provincial Power Grid) when manually compiling inter-provincial DC planning curves based on the incremental power transmission and receiving plan. Therefore, it is necessary to explore A new method to re-plan the cross-regional sending end (such as Yunnan Provincial Power Grid) DC transmission plan

[0005] At present, the existing inter-regional DC power planning algorithms mainly have the following problems: (1) The DC power can run at any level in the interval according to the needs, but the power of the transmission unit has a multiplicative term of integer variables in the minimum duration constraint, As a result, the model is a mixed integer nonlinear programming problem, which is difficult to solve reliably and efficiently for the day-ahead scheduling model containing hundreds of thousands of integer variables and thousands of continuous variables

(2) Considering the actual operation requirements of the DC tie line, constraints such as the step constraints of the DC power curve, the constraints on the number of power adjustments, and the power not to be reversed in a short period of time are added, but the DC power is required to operate in discrete gears, It cannot take advantage of the high regulation precision of the DC system

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