A combined operation control method of sending-end power grid units considering the cost constraints of energy curtailment

Abstract

The invention relates to a method for controlling the combined operation of power grid units at the sending end considering the cost constraints of energy abandonment. The method includes the following steps: 1) acquiring basic data; 2) establishing a unit combination optimization model, which considers the abandoned energy Constraints, peak shaving constraints and frequency regulation constraints, and the objective function is to minimize the sum of operating costs, environmental costs and energy curtailment costs; 3) The improved hybrid particle swarm optimization algorithm is used to solve the unit combination optimization model to obtain the optimal output. The optimal output control unit combination operation state is described. Compared with the prior art, the present invention has the advantages of being able to control the problem of energy abandonment from the early stage of operation, and improve operation efficiency.

Description

technical field [0001] The invention relates to the field of automatic control of electric power systems, in particular to a combined operation control method of power grid units at the sending end considering energy abandonment cost constraints. 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 plan formulation problem. , adjust the output of the unit at each time period, so that the system can achieve the specified target. In the traditional unit combination problem, the objective function is to minimize the total operating cost in the dispatch period, and the dispatched units are mainly traditional thermal power units. In the electricity market, the optimization goal is to maximize social welfare (in the case of elastic load demand) or to minimize the cost of electricity purchase (in the case of rigid load demand). In recent years, under the influence of r...

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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