Intelligent distribution network reconstruction method concerning distributed power generation and energy storage unit

Abstract

The invention discloses an intelligent distribution network reconstruction method concerning a distributed power generation and energy storage unit. The method comprises the following steps: building a multi-target multi-constraint mathematical model for distribution network reconstruction, encoding control variables in the model, then adopting the improved NSGA-II (Nondominated Sorting Genetic Algorithm II) for solution, repeatedly calling a three-phase load flow calculation module in the calculation process, decoding individuals of all generations of population in the NSGA-II, conducting three-phase load flow calculation to the decoded network reconstruction schemes to further obtain the adaptation degree of all the network reconstruction schemes, and feeding back to the NSGA-II for optimal treatment. The multi-target multi-constraint mathematical model built in the invention can simultaneously concern the influences of the distributed power supply and energy storage unit; the adopted multi-supply three-phase forward-backward sweep method can well put the three-phase unbalance characteristic of the distribution network into consideration, and is high in computing speed; the quick NSGA with the out-of-limit rejection strategy can avoid weight setting blindness, can promptly eliminate infeasible solution and is high in computational efficiency.

Description

technical field [0001] The invention relates to an intelligent distribution network reconfiguration method, in particular to an intelligent distribution network reconfiguration method considering distributed power generation and energy storage units. Background technique [0002] Distribution network reconfiguration is one of the important means of distribution system operation and control, and it is also an important part of distribution management system. The purpose of the traditional distribution system network reconstruction is to balance the load, eliminate overload, reduce network loss, and reduce power failure losses through the combination optimization of the sectional switch and the tie switch on the premise of ensuring the radial operation of the distribution network. . With the continuous advancement of smart grid construction, it is required that the future distribution network can freely accept various distributed power sources. In recent years, distributed ge...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing distribution network reconfiguration methods at home and abroad are difficult to meet the needs of the development and construction of intelligent distribution network, mainly in the following aspects:

[0004] 1. Most distribution network reconfiguration models fail to fully account for the impact of distributed power generation and energy storage units

Although some distribution network reconfiguration methods considering the impact of DG have appeared, the modeling of DG is still rough. Generally, DG is treated as an ordinary power source or "negative load" without classification and equivalent

At the same time, there is still a lack of scientific modeling of SU

[0005] 2. Distribution network reconfiguration is a multi-objective combination optimization problem. The traditional processing method is to convert the multi-objective problem into a single-objective solution in the form of weighted summation. The disadvantage is that it is difficult to reasonably set the weight coefficients of each objective function, which is blind

[0006] 3. The power distribution system has obvious three-phase unbalance characteristics. When calculating the network loss and voltage indicators of the reconfiguration scheme, many existing reconfiguration methods fail to fully consider the three-phase parameters and load imbalance of the distribution network. , thus affecting the calculation accuracy

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