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A General Simplification and Acceleration Method for Distribution System Optimization Problems
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作者 Jun Xiao Yupeng Zhou +1 位作者 Buxin She Zhenyu Bao 《Protection and Control of Modern Power Systems》 2025年第1期148-167,共20页
Solving optimization problems plays a vital role in ensuring the secure and economic operation of distribution systems.To enhance computational efficiency,this paper proposes a general simplification and acceleration ... Solving optimization problems plays a vital role in ensuring the secure and economic operation of distribution systems.To enhance computational efficiency,this paper proposes a general simplification and acceleration method for distribution system optimization problems.Firstly,the capacity boundary and voltage boundary model of distribution systems are established.The relative position between the two boundaries reflects the strength of capacity and voltage constraints,leading to the definition of two critical feeder lengths(CFLs)to quantify these strengths.Secondly,simplification criteria and an acceleration method are proposed.Given a distribution system,if the distance from the end load/DG node to the slack bus is less than the corresponding CFL,we can conclude that the capacity constraints are stricter than the voltage constraints.Then,the distribution system can be simplified by adopting DC power flow model or disregarding the voltage constraints.After that,the reference value tables of CFL are presented.Finally,the effectiveness of the proposed method is verified by exemplifying the method in network reconfiguration and reactive power optimization problems.By implementing the proposed acceleration method,a significant reduction in computation time is achieved while ensuring accuracy.This method applies to most urban distribution systems in optimization problems involving power flow equations or voltage constraints. 展开更多
关键词 Distribution system optimization problem power flow equation security region simplification criteria acceleration method network reconfiguration reactive power optimization
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