Source-network-charge-storage interaction based multi-voltage-level direct-current power distribution network optimization dispatching method

Abstract

The invention discloses a source-network-charge-storage interaction based multi-voltage-level direct-current power distribution network optimization dispatching method. The method is characterized inthat a source-network-charge-storage interaction optimization concept is introduced in a direct-current power distribution network, and on the basis that the characteristics of an interactive load aredeeply analyzed, the effect of the interactive load and an energy storage technology on the photovoltaic consumption of a system is fully exerted; a direct-current power distribution network multi-objective optimization dispatching model taking the operation cost, the network loss rate and the voltage deviation as objectives is built, and the optimization model is solved by adopting a multi-objective particle swarm optimization algorithm; and multi-objective optimization results are compared and analyzed to verify that a source-network-charge-storage interaction model can enable the system torun more optimally, and collaborative optimization is carried out by utilizing the interactive load and the energy storage system, so that the operation cost, the network loss rate and the voltage deviation of the system can be greatly reduced, the photovoltaic consumption level is effectively improved, and safe and reliable operation of the direct-current power distribution network is realized.The method has the advantages of being scientific and reasonable, strong in applicability and good in effect.

Description

technical field [0001] The invention relates to the technical field of direct current distribution networks, and relates to an optimal scheduling method for multi-voltage level direct current distribution networks based on source-network-load-storage interaction. Background technique [0002] With the development of clean and renewable energy power generation technologies such as solar energy, the proportion of DC sources and loads connected to the grid in the power system is increasing. In this context, compared with the AC distribution network, the DC distribution network facilitates the access of DC sources and loads, can reduce the use of converters, and thus improve the operating efficiency of the system, which has become the focus of research at home and abroad. Typical renewable energy photovoltaic power generation can be directly connected to the DC distribution network through a DC / DC converter, which greatly improves the input cost and operating loss of the system....

AI Technical Summary

Problems solved by technology

[0003] The invention discloses an optimal scheduling method for a multi-voltage level DC distribution network based on source-network-load-storage interaction. And there is a problem of photovoltaic consumption. The concept of source-grid-load-storage interactive optimization is introduced in the DC distribution network. On the basis of in-depth analysis of the characteristics of interactive loads, the effectiveness of interactive loads and energy storage technologies for system consumption of photovoltaics is fully utilized. ;Established a multi-objective optimization dispatching model of DC distribution network with operating cost, network loss rate and voltage deviation as the target, and used the multi-objective particle swarm optimization algorithm to solve the optimization model; and compared and analyzed the multi-objective optimization results to verify the source - The network-load-storage interaction model can make the system more optimized. At the same time, the collaborative optimization of the interactive load and energy storage system can greatly reduce the system operating cost, network loss rate and voltage deviation, effectively improve the photovoltaic consumption level, and realize DC Safe and reliable operation of distribution network

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