Multi-time-scale community energy local area network energy scheduling method

Abstract

The invention relates to a multi-time-scale community energy local area network energy scheduling method. The method includes following steps: step 1, performing long-term prediction energy optimization by employing a genetic algorithm, and generating prediction values of a scheduling plan of the community in the coming 24 hours according to historical data of community photovoltaic output and load demand; and step 2, comparing real-time operation data of community photovoltaic output and load demand and the prediction values of the scheduling plan obtained in step 1, calculating a community deviation value, and performing real-time short-time energy optimization of the community photovoltaic output and load demand according to the community deviation value. According to the method, uninterrupted short-term energy optimization is performed with the combination of real-time operation data of the total photovoltaic output and the total load demand of a certain community and the long-term scheduling plan, the practical operation approaches to the scheduling plan, the algorithm solution space is compressed and optimized, the algorithm efficiency is improved, and the influence of uncertainty of photovoltaic output and load demand can be reduced with the combination of long-term and short-term energy optimization.

Description

technical field [0001] The invention relates to the technical field of power system energy dispatching, in particular to an energy dispatching method for a multi-time scale community energy local area network. Background technique [0002] In recent years, the depletion of traditional energy and the huge pollution caused by the use of traditional energy have made improving energy utilization efficiency and strengthening the use of renewable energy an inevitable choice to solve the contradictions between energy demand growth and energy shortage, energy utilization and environmental protection. As one of the cleanest and most efficient ways to utilize energy, distributed power generation technology utilizes various available dispersed energy sources for power generation and energy supply, which helps to make full use of the abundant clean and renewable energy in various places, and provides users with "green energy". Electricity”, its research has increasingly attracted the at...

AI Technical Summary

Problems solved by technology

When there are a large number of distributed power generation and energy storage units in the community, the long-term scheduling methods are diversified, the complexity of the energy management algorithm is greatly increased, and the running time of the algorithm becomes longer

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