Sequence Optimal Configuration of Distributed Energy Storage for Improving Voltage Quality of Unbalanced Distribution Network

doi:10.12204/j.issn.1000-7229.2022.01.010

Abstract

Abstract:

Distributed energy storage (DES) has flexible operating characteristics and can be properly configured to effectively serve the voltage management in the active distribution network. The existing studies on voltage management-oriented DES optimization configuration are usually focused on the balanced network model to analyze the impact of energy storage operation characteristics on the system voltage, while the real distribution networks are actually unbalanced. To this end, a method for sequence optimization of DES in unbalanced distribution networks applying voltage sensitivity analysis is proposed, and the optimal configuration of DES in unbalanced distribution networks is studied from the perspective of improving the network voltage. Firstly, the DES access location is determined according to the comprehensive voltage sensitivity analysis; secondly, taking into account the economy of system operation, the access capacity of DES with the goal of minimizing the investment and maintenance cost of DES is optimized. Finally, by improving the IEEE 33-node three-phase distribution network to carry out a calculation example analysis, it is verified that the proposed DES sequence optimization configuration method can effectively improve the voltage quality of the unbalanced distribution network.

Key words: distributed energy storage, voltage management, unbalanced distribution network, sensitivity analysis, sequence configuration

CLC Number:

TM715

LI Yingliang, CAI Heming, WANG Kang, SUN Xiyao, ZHOU Liwen, GAO Zhaodi. Sequence Optimal Configuration of Distributed Energy Storage for Improving Voltage Quality of Unbalanced Distribution Network[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(1): 87-95.

Figures/Tables 10

Fig.1 Flow chart of sequence configuration of DESs

Fig.2 System diagram of improved IEEE 33-node system

Fig.3 Typical daily PV output curve

Fig.4 Three-phase daily load curve

Table 1 Simulation parameters and related constraint settings

Table 2 Optimization results for different scenarios

Fig.5 System performance in different scenarios

Fig.6 Load curves before and after optimization

Fig.7 Operation state of two DESs in scenario 5

Fig.8 Variance of comprehensive voltage sensitivity of each node in the network before and after optimization

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