Optimal Configuration of Voltage Sag Mitigation Equipment Considering User’s Investment Willingness

doi:10.12204/j.issn.1000-7229.2021.08.007

Abstract

Abstract:

Aiming at that the difference of unit cost between standard capacity and customized capacity being not considered in the current research of voltage sag mitigation strategy, the relationship between different capacities (customized and standardized) and initial cost of governance equipment such as uninterruptible power supply (UPS ) and dynamic voltage restorer (DVR) is analyzed in this paper. On the other hand, according to the economic losses caused by a single sag event of different sensitive equipment, a more reasonable method to measure the severity of voltage sag is proposed. Moreover, according to the overall severity of voltage sag and the user’s attention to voltage sag, this paper analyzes the investment willingness of users. Combined with the investment ability of users, the prospect theory is used to quantify the investment willingness of voltage sag mitigation. Then, the mitigation cost accords with the user’s investment willingness is obtained as the constraint condition. Taking the maximum return on investment of the mitigation strategy as the objective function, and taking the mitigation cost and the area of the treatment equipment as constraints, the simulated annealing algorithm is used to optimize the configuration of user voltage sag mitigation equipment. Finally, an example is given to verify the effectiveness of the proposed method.

Key words: voltage sag, mitigation, optimal configuration, customized power, park user, user’s investment willingness, prospect theory

CLC Number:

TM714

MENG Junxia, JIANG Limin, XIE Jiani, WANG Ying. Optimal Configuration of Voltage Sag Mitigation Equipment Considering User’s Investment Willingness[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(8): 55-62.

Figures/Tables 11

Table 1 Initial cost of UPS

Table 2 Initial cost of DVR

Fig.1 The relationship between the initial cost of treatment equipment which should be chosen and the equipment capacity required by users

Table 3 Floor space of treatment equipment

Fig.2 User’s willingness to invest in voltage sag management

Fig.3 The quantification process of the initial cost of voltage sag management to meet the user’s investment willingness

Fig.4 Optimal configuration model of voltage sag mitigation equipment applying simulated annealing algorithm

Table 4 Information of user’s sensitive devices

Table 5 Configuration options for user’s sensitive device management

Fig.5 NPV value at cooling point

Table 6 Optimal configuration of user’s sensitive device management

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