Combined running control method considering energy abandoning cost constraint for sending-end power grid unit

Abstract

The invention relates to a combined running control method considering energy abandoning cost constraint for a sending-end power grid unit. The method comprises the following steps of 1) acquiring basic data; 2) building a unit combination optimization model, wherein the unit combination optimization model simultaneously considers energy abandoning constraint, peak adjustment constraint and frequency modulation constraint, and minimum sum of running cost, environmental cost and energy abandoning cost is used as a target function; and 3) solving the unit combination optimization model by an improved hybrid particle swarm optimization to obtain optimal output, and controlling a combined running sate of the unit according to the optimal output. Compared with the prior art, the method has theadvantages that the energy abandoning problem can be controlled from a running period, and the running efficiency is improved.

Description

technical field [0001] The invention relates to the field of automatic control of power systems, in particular to a method for controlling combined operation of sending-end power grid units considering the cost constraints of energy abandonment. Background technique [0002] The unit combination problem is the core of the power system operation scheduling theory, also known as the short-term power generation planning problem, which refers to the reasonable arrangement of the on and off states of the units under the condition of satisfying the operating conditions of various units within a certain dispatch period , to adjust the unit output at each time period so that the system can reach the specified target. In the traditional unit combination problem, the objective function is to minimize the total operating cost within the dispatch period, and the units to be dispatched are mainly traditional thermal power units. In the electricity market, the optimization objective is t...

AI Technical Summary

Problems solved by technology

It can be seen that in the existing patents, wind curtailment has been considered, but the penalty cost is either taken as a target or considered as a constraint, and none of them considers the comprehensive consideration of the three curtailments, including wind curtailment, solar curtailment, and water curtailment. The model and solution method are mainly based on heuristic iteration, and there are also some intelligent algorithms, but they cannot solve the defects of low computational efficiency in large-scale unit combination problems.

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