Mid-long-term unit commitment optimizing method

Abstract

The invention discloses a mid-long-term unit commitment optimizing method. The method comprises the following steps: acquiring various optimized data to determine the optimal space of mid-long-term unit commitment; then establishing a mid-long-term security constrained unit commitment model with minimum deviation between the generated energy of the unit and the expected electric quantity as the target according to the practical power grid model; adopting the mixed integer programming approach to compute the starting / stopping state, load factor and active power output in the peak load period of the unit in each day in the dispatching period; considering all the network monitoring components and adopting the daily maximum load point to carry out security check according to the starting / stopping state and power output in the peak load period of the unit which are obtained through optimization; and finally acquiring the mid-long-term unit commitment scheme satisfying the power grid security through the optimization technology and iteration of security check. The large power grid steering capability and the power resource optimal allocation capability are greatly improved by adopting the method.

Description

technical field [0001] The invention belongs to the technical field of electric power system scheduling automation, and relates to a medium- and long-term unit combination optimization method. Background technique [0002] With the advancement of smart grid construction, the requirements for optimal allocation of power grid resources are constantly increasing, which puts forward higher requirements for dispatching operations and dispatching plans. The unit combination is the first problem to be solved in the scheduling plan. From the perspective of economic benefits and safe operation, it is often more important than the economic scheduling problem. The medium and long-term unit combination can take into account the operation benefits of the power grid in a longer time span, and the optimization effect is remarkable. At the same time, my country is a country dominated by thermal power units. With the implementation of energy-saving power generation dispatching, small therma...

AI Technical Summary

Problems solved by technology

[0004] When the power system dispatching center formulates a mid-to-long-term unit combination plan, it is generally based on the completion of the power contract. According to operating experience, manually setting the start-stop status of the generator set in the mid-to-long term makes it difficult to ensure the consistency of the completion progress of the power contract of each generator set.

At the same time, empirical scheduling cannot effectively consider the safety of the power grid, and the unit combination scheme obtained is often not feasible in practice, and the unit combination scheme needs to be adjusted repeatedly during operation, which makes it difficult to ensure the safety and economy of dispatching operation, and also brings difficulties to operators. huge workload

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