Flexible interconnection substation optimization scheduling method based on B2B-MMC

Abstract

The invention discloses a flexible interconnection substation optimization scheduling method based on B2B-MMC, and the method employs a back-to-back modular multilevel converter to replace different transformer substation main transformer 10kV bus interconnection switches, and builds a flexible interconnection substation optimization model. The method comprises the following steps: for an actual high-voltage power distribution system in a certain place, taking network loss minimization as an optimization target, considering node voltage margin constraints, adding an optimization model established by a voltage out-of-limit penalty term in a target function, and solving active and reactive power output of a current converter by adopting an alternating iteration method and a particle swarm algorithm; optimized cooperative control among a plurality of flexible interconnection substations and active regulation and control of system power flow are realized, and the operation controllable level of a high-voltage power distribution network is improved. A simulation result shows that the B2B-MMC-based flexible interconnection substation optimal scheduling method can effectively reduce the network loss of a high-voltage power distribution system, improves the average voltage deviation of nodes connected with a converter, and verifies the effectiveness and rationality of the control method provided by the invention.

Description

technical field [0001] The invention relates to an optimal scheduling method based on an intelligent soft switch, in particular to a B2B-MMC-based optimal scheduling method for flexible interconnected substations. Background technique [0002] With the rapid development of the economy, society and power grid, users' demand for power is showing a trend of diversification. The traditional distribution network is facing many challenges, such as equipment overload, increased network loss, and low power quality. In order to alleviate the above problems, the traditional distribution network reconfigures the structure of the distribution network by opening and closing the tie switches between the feeders of the distribution network. However, due to the limited switching times of the equipment, it is impossible to realize the infinite dynamic adjustment of the power flow. The use of intelligent soft switches to replace contact switches has attracted widespread attention from schola...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a B2B-MMC-based flexible interconnection substation optimization scheduling method to solve technical problems such as network loss of high-voltage distribution network and large average voltage deviation of nodes connected to converters.

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