Power system integrated scheduling method considering high-proportion renewable energy access

Abstract

The invention provides a power system integrated scheduling method considering high-proportion renewable energy access, and the method comprises the steps: building a multi-time granularity model, integrating the three parts of PFs in UC, ED and AGC, and building a power system integrated scheduling model considering high-proportion renewable energy access with the minimum total operation cost of a power system as an optimization target; constructing constraint conditions of the power system integrated scheduling model to obtain a power system integrated scheduling optimization model meeting each constraint condition; and carrying out robust optimization on uncertainty parameters in constraints of the power system integrated scheduling optimization model, solving the power system integrated scheduling optimization model after robust optimization, and obtaining a final scheduling scheme. According to the method, more renewable energy sources can be consumed for power generation, the load shedding amount and the wind curtailment amount are reduced, and the safety and economical efficiency of a power system are improved.

Description

technical field [0001] The invention belongs to the technical field of power system resource scheduling, and in particular relates to a power system integrated scheduling method considering the access of a high proportion of renewable energy. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The traditional short-term dispatching of power system is realized based on hierarchical mechanism, which optimizes different dispatching modules sequentially. For specific modules, different system operators in different countries choose different modules in their hierarchical mechanisms, such as day-ahead unit combination (UC), intraday unit combination (UC), economic dispatch (ED), automatic generation control (AGC ), Participation Factors (PFs) optimization, AGC, etc. In the hierarchical mechanism of sequential optimization, the output of the previ...

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Problems solved by technology

[0006] However, adding additional standby and quick-response units to the system will significantly increase the investment cost; while more accurate renewable energy forecasting technology is still being explored, the current wind power forecasting error is generally 15% to 25% under the current technical level; and The rolling UC model using hour-level time granularity cannot capture the uncertainty of high proportion of renewable energy well due to its relatively coarse time resolution; However, the adjustment ability of the latter level is weaker than that of the upper level. If the adjustment ability of a certain level of the system is insufficient, the global optimum will not be obtained, and the potential between levels will not be fully utilized.

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