Multi-energy short-term optimization scheduling method

Abstract

The invention discloses a multi-energy short-term optimization scheduling method. The method comprises the following steps of 1, firstly, establishing a multi-source coordination short-term optimization scheduling model by taking minimum system operation energy consumption as a target and considering system operation constraint conditions in a scheduling period, and meanwhile, evaluating a unit combination condition and judging whether a system capacity is redundant or not; and 2, if the system capacity is redundant, adding a maximum starting unit number constraint of thermal power generating units, and performing simulation calculation on four aspects of a unit combination scheme, an energy power generation power condition, system energy loss and a thermal power generating unit output standard deviation. The method has the beneficial effects that in the multi-source coordination scheduling system, the randomness that the peak regulation constraint of the continuous scheduling period can adapt to new energy output is considered, and the peak regulation adequacy of the system is ensured; and according to the method, the maximum starting unit number constraint is introduced into the optimization scheduling model, frequent conversion of the unit operation state can be reduced, and redundancy of the starting capacity is avoided.

Description

technical field [0001] The invention relates to an optimal scheduling method, in particular to a multi-energy short-term optimal scheduling method, and belongs to the technical field of energy scheduling. Background technique [0002] In recent years, the proportion of new energy power generation in the power system has been continuously increasing. The vigorous development of clean energy has brought positive impacts on the economic operation of the system and alleviated the problem of energy shortage. The stable operation of the economy has brought great challenges. Therefore, it is of great significance to study the multi-energy optimal dispatching model considering peak-shaving constraints from the perspective of short-term dispatching to reduce the peak-shaving pressure of the system. [0003] Existing multi-energy optimal scheduling research mainly focuses on the consideration of system economic operation. Some literature studies have studied the scheduling problem of...

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Problems solved by technology

However, the above literature only considers improving the reliability of system operation in a single scheduling cycle, and does not consider the peak-shaving constraints of the continuous scheduling cycle of the system and the impact of system capacity redundancy.

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