Preventive economic operation optimization of distribution networks considering the losses of power quality-sensitive equipment under low voltage conditions
DOI:10.19783/j.cnki.pspc.250184
Key Words:power quality  voltage dip  voltage-sensitive equipment  economic operation optimization
Author NameAffiliation
LIU Yunjing1,2 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
LU Lizhong2 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
YANG Zheng1 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
LI Zaifeng2 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
GUO Tiebin2 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
LIU Dawei2 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
JIANG Wei2 1. Northeast Electric Power University, Jilin 132012, China
2. State Grid Jilin Electric Power Supply Co., Ltd., Jilin 132000, China 
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Abstract:With the large-scale integration of power quality-sensitive equipment in advanced manufacturing sectors, the conflict between the currently permitted short-term fault-tolerant operation of distribution networks and the voltage tolerance characteristics of sensitive loads has become increasingly prominent. Therefore, studying preventive economic optimization of sensitive equipment under low-voltage conditions during faulted operation of distribution systems, while accounting for losses of sensitive equipment, is of great significance. First, based on the symmetrical components method, the tripping criteria for adjustable speed drivers (ASDs) are quantified. Second, an operation cost optimization model for distribution networks is established, which incorporates the loss of sensitive equipment such as ASDs and programmable logic controllers (PLCs). Finally, a grid-connected ASD system is built in Simulink to verify the correctness of the ASD tripping conditions. Using a modified IEEE13-node system, three typical scenarios are comprehensively considered, namely, demand response behavior of industrial park loads, whether sensitive equipment such as ASDs and PLCs are equipped with energy storage devices, and whether uninterruptible power supply (UPS) systems are installed. These scenarios validate the accuracy and effectiveness of the proposed preventive optimization model.
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