Multi-target random fuzzy dynamic optimal energy flow modeling and solving method for multi-energy coupling transmission and distribution network

Abstract

The invention relates to a multi-target random fuzzy dynamic optimal energy flow modeling and solving method for a multi-energy coupling transmission and distribution network and belongs to the field of day-ahead scheduling plan research of electric power systems in an energy interconnection environment. The method comprises the following steps: basic data in a system scheduling period are obtained,; random fuzzy space-time sequence models for large-scale wind power, distributed power source and multi-energy loads are obtained via historical data mining; power and voltages of a power transmission network and all active distribution networks at joint nodes are used as share variables; multi-target SoS dynamic optimal energy flow models characterized by high economic performance, low carbon emission, renewable energy absorption, loss reduction and the like are built within static state security constraints; multi-energy source charge forecast can be realized through random fuzzy simulation; a Pareto solution set, an optimal compromise solution and an energy flow result can be obtained via adoption of an improved SoS layered optimizetion algorithm based on approximate dynamic programming and NSGA-11. The method can adapt to a development trend of energy interconnection, and comprehensive coordination optimization of day-ahead scheduling of transmission and distribution parties can be realized on the premise that requirements for static state safety and stabilization of systems can be satisfied.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

The technical effect that this patented technology can help improve communication systems by optimizing their allocation among multiple sources based on factors like safety or reliability requirements for each source's operation. This helps ensure stable performance even during power failures without compromising any other benefits such as data loss or delays caused by delayed responses from different parts of the network.

Problems solved by technology

This patented describes various technical methods aim at improving the allocation efficiency and coordination among different types of resources like solar/wind generators and batteries by integrally managing them across communication grids with varying spatial time delays. However, current solutions only focus on delivering power directly towards specific points rather than considering joint planning over all available assets.

Images