Self-adaption robust reactive power optimization method for active power distribution network

Abstract

The invention discloses a self-adaption robust reactive power optimization method for an active power distribution network. The method comprises the following steps that on the basis of a traditional tidal model, a similar linear tidal model is constructed, a similar mapping relation between a node injection power vector a node voltage vector is obtained, and then a decision variable feasible region of power distribution network reactive power optimization is obtained; on the basis of the robust optimization theory, a self-adaption function between the best decision and the uncertain variable is constructed, and then the self-adaption robust reactive optimization model is constructed; on the basis of the self-adaption robust reactive optimization model, a solution strategy of a cutting plane method is put forward, an original question is decomposed into two sub-questions, and the solution of the original question is obtained through alternate iteration of the two sub-questions. According to the method, the robust optimization thought is introduced, the solution strategy of the cutting plane method is put forward, efficient and rapid solution is achieved, and economical, safe and efficient operation of the active power distribution network under the uncertain condition is ensured.

Description

technical field [0001] The invention relates to an optimal operation method of an active distribution network, in particular to an adaptive robust reactive power optimization method of an active distribution network. Background technique [0002] The large-scale grid connection of distributed power generation has brought many impacts to the distribution network. The specific manifestations are: changing the voltage level and power flow distribution of the distribution network, increasing the short-circuit capacity of the distribution network, increasing the complexity of relay protection strategies, affecting the reliability of power supply of the network, and exacerbating the deterioration of power quality. The operation control mode of the traditional distribution network can no longer meet the development needs, and the active distribution network technology (Active Distribution Networks, ADN) has emerged as the times require. [0003] The existing optimal operation meth...

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Problems solved by technology

The optimal power flow control strategy based on forecast information does not consider the impact of inaccurate forecast information, and the control strategy it gives is quite different from the actual operating state of the system, which cannot guarantee the safe operation of the system; real-time control based on decentralized autonomy The strategy only considers local information and cannot achieve global optimization; the essence of the hierarchical optimization control strategy based on multi-time scale coordination and cooperation is to deal with the uncertainty of distributed power output through "level-by-level refinement". The impact of determinism is reduced, but it is still a passive adjustment after the security constraints of the distribution network exceed the limit

[0004] The existing optimal operation methods for active distribution networks cannot meet the requirements of economical, safe and efficient operation of active distribution networks under uncertain conditions, and cannot achieve active control and real-time optimization of distribution networks.

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