A Multi-time Scale Optimal Scheduling Method for Microgrid

Abstract

The invention discloses a multi-time-scale optimal scheduling method for a micro-grid. First, the forecasting results of load and intermittent power output are considered in combination with forecasting technology to segment the scheduling period, and then the corresponding scheduling strategies are matched according to the conditions of different periods; The optimal scheduling strategy of the power grid is divided into three time scales: day-ahead scheduling, rolling scheduling and real-time scheduling; in the day-ahead scheduling stage, the next scheduling cycle of the microgrid is divided into segments and corresponding optimization objectives are matched for each segment; in the rolling scheduling stage, the current Re-segment the remaining period of the scheduling cycle and re-match the corresponding optimization goals for each segment; in the real-time scheduling stage, based on the ultra-short-term forecast results, the day-ahead scheduling plan is corrected, and the forecast deviation in the rolling scheduling stage is corrected. The invention makes the optimization targets of the micro-grid optimal dispatching model more matching and effective in different time periods, and greatly improves the economical and stable operation of the micro-grid.

Description

technical field [0001] The invention belongs to the technical field of micro-grid optimization, and in particular relates to a multi-time-scale optimal scheduling method for a micro-grid. Background technique [0002] With the development of society, the demand for electric energy in human life is gradually increasing. However, the use of traditional fossil fuels to generate electricity is facing the problems of gradual scarcity of resources and serious environmental pollution. New energy power generation technology has attracted the attention of countries all over the world due to its advantages of rich resources, environmental friendliness, and low fuel cost. Microgrid is essentially a miniature intelligent grid, which is composed of loads, energy storage equipment, intermittent power supplies that use new energy to generate electricity and its output is intermittent, and traditional distributed power supplies that use diesel and other fuels to generate electricity. The p...

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Problems solved by technology

[0004] 1) The existing technology does not consider the prediction results of load and intermittent power output to segment the micro-grid dispatch cycle, nor does it combine the actual conditions of the micro-grid corresponding to different segments to select an appropriate optimization target for it to ensure the micro-grid. Economical and stable operation of the power grid; since there are many intermittent power sources in the microgrid, their output fluctuations are also large. If only the load forecast results are considered and the intermittent power output forecast results are not considered to segment the scheduling cycle, the obtained The actual load of the system at different times in the same segment may vary greatly, which is not conducive to setting an appropriate optimization target for this segment

[0005] 2) Most of the existing technologies only consider optimal scheduling on a single time scale, which is a static scheduling method; however, due to the randomness, intermittency and volatility of the output of intermittent power sources, the optimal scheduling method on a single time scale cannot Ensure the economical and stable operation of the microgrid

[0006] 3) The traditional economic dispatch cannot guarantee the voltage stability and dynamic reactive power reserve of the system because it only considers the economy, and the traditional multi-objective dispatch adopts the same optimization objective during the entire dispatch period, so it cannot set a reasonable value according to the actual situation of each segment. Optimization targets that make microgrids less economical and less stable

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