Variable time scale optimization dispatching method for microgrid

Abstract

The invention provides a variable time scale optimization dispatching method for a microgrid, and aims to solve the contradiction between operating economy and photovoltaic fluctuations of a conventional unit on system reliability after photovoltaic grid-connection permeability is improved. According to the method, system power supply reliability is divided into two indexes, including safety and adequacy, and the indexes are quantized and converted into constraint criteria for changing time scale; a variable time scale coordination dispatching model is proposed to realize the conditions as follows: when photovoltaic predicted electric energy production fluctuation is relatively low, the time scale is enlarged to lower the economic operating cost of the system; and when the photovoltaic predicted electric energy production fluctuation is relatively high, the prediction accuracy is improved by reducing time scale so as to reduce the quantity of interruptible loads, so that reliability requirement of the system can be ensured.

Description

technical field [0001] The invention relates to the field of electrical information technology, in particular to a microgrid variable time scale optimal dispatching method. Background technique [0002] With the rapid economic development, environmental pollution and energy crisis are becoming more and more serious, the development of renewable energy and the construction of sustainable energy strategies are imminent. As an effective carrier integrating Distributed Generation (DG), energy storage devices and regional loads, microgrid is being more and more widely used due to its high energy utilization rate and good flexibility. . [0003] For traditional dispatching, due to the controllability of conventional units, it is only necessary to predict the load. Due to its volatility and randomness, PV generator sets need to be predicted, but the current PV prediction algorithm is difficult to achieve the accuracy of load forecasting. At present, the hourly forecasting accurac...

AI Technical Summary

Problems solved by technology

For a multi-time scale scheduling system, if the PV prediction value fluctuates little but the scheduling time scale is too short, it will inevitably increase the system prediction and operating costs; if the PV prediction value fluctuates greatly but the scheduling time scale is too long, the PV’s Randomness may affect the safe and reliable operation of the system

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