Optimal Scheduling Method of Electric Boiler Based on Fuzzy Determination of Temperature Feasible Region of Hot Water Storage Tank

doi:10.12204/j.issn.1000-7229.2023.07.012

Abstract

Abstract:

As an essential load-side regulation resource in a high proportion of renewable energy power systems, determining the feasible region of the thermal storage tank temperature of an electric boiler affects system security and is closely related to wind power consumption. However, accurate calculation models for these two factors are lacking. This study proposes a method for fuzzy determination of the feasible region of the water tank temperature and optimal scheduling of the electric boiler system. First, the characteristic models of the hot water storage tank, heating network, and building under different operating conditions in an electric boiler system were established. Second, using the fuzzy control algorithm combined with the initial temperature of the hot water storage tank and the period during which the wind power was more significant than the electrical load, the daily upper temperature limit of the hot water storage tank was calculated, and the optimal scheduling model of the electric boiler system was established. Finally, a simulation example is constructed to verify the effectiveness of the proposed method based on the electric boiler system used in the microstation of an education bureau in Changchun City. The results show that the proposed method can mobilize the building load side to participate in wind power consumption, reduce the risk of fouling of the electric boiler system, and reduce the operating cost of the system.

Key words: electric boiler, hot water storage tank, fuzzy control, optimal scheduling

CLC Number:

TM732

YANG Yulong, WANG Song, CHEN Tao, JIN Rong, DONG Xiaorui, CHENG Fen, ZHANG Peng. Optimal Scheduling Method of Electric Boiler Based on Fuzzy Determination of Temperature Feasible Region of Hot Water Storage Tank[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(7): 111-120.

Figures/Tables 19

Fig.1 Electric boiler system structure diagram

Fig.2 Fuzzy control schematic

Fig.3 Distribution map of historical data of initial temperature of hot water storage tank

Fig.4 Membership function of initial temperature of hot water storage tank

Fig.5 Membership function for the duration of wind power greater than electrical load

Fig.6 Distribution map of historical data of temperature drop of hot water storage tank

Fig.7 Membership function of heat release and temperature drop of hot water storage tank

Table 1 Fuzzy rule table

Table 2 Model parameter

Table 3 Case 2 Calculation results of the upper limit of the water tank temperature

Fig.8 Fuzzy inference results(H=8.25 h)

Table 4 Case 3 calculation results of the upper limit of the water tank temperature

Fig.9 Electricity purchased from the grid generated by the three cases

Fig.10 Three cases of wind power consumption

Fig.11 Distribution curve of wind power,electric load and boiler pump state

Table 5 Cost comparison of the three cases

Fig.12 Temperature change curve of hot water storage tank

Fig.13 Variation curve of building indoor temperature

Table 6 Comparison of water tank temperature of the three cases

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