Fluctuation Smoothing Strategy of New Energy Power for Electricity-Gas Interconnected System Based on Improved Model Predictive Control

doi:10.12204/j.issn.1000-7229.2021.09.007

Abstract

Abstract:

Aiming at the problem of power fluctuations of new energy sources, a regulation strategy is developed in this paper to suppress the power fluctuations of the tie-line power in an electricity-gas interconnected system with aggregated thermostatically controlled loads (ATCLs) and a micro-turbine. Firstly, the fluctuating power is decomposed by empirical mode decomposition, and then on the basis of the establishment of the ATCLs bilinear model and the mathematical model of the micro-turbine, an improved model predictive control method based on the Lyapunov function is proposed. The control law of the ATCLs and the micro-turbine is designed. The ATCLs and the micro-turbine are aggregated to suppress the high frequency and low frequency components of fluctuating power. The simulation results indicate that the proposed control method can make their output power effectively track the high frequency and low frequency components of fluctuating power under the condition that the temperature comfort constraint of the ATCLs is satisfied and the preset working state of the micro-turbine is maintained. It achieves a good smoothing effect of tie-line power under the condition that user comfort and adjustment range are considered.

Key words: power fluctuation of new energy, aggregated thermostatically controlled load (ATCL), micro-turbine, electricity-gas interconnection system, improved model predictive control

CLC Number:

TM732

YU Yang, JIA Hao, CHEN Qiwei, FAN Yazhou, MI Zengqiang, YUAN Yubao, CHANG Shengqiang. Fluctuation Smoothing Strategy of New Energy Power for Electricity-Gas Interconnected System Based on Improved Model Predictive Control[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(9): 65-73.

Figures/Tables 9

Fig.1 Electricity-gas interconnection system structure

Fig.2 Overall structure of the study

Table 1 Model parameters of the MT

Fig.3 Curves of PV, wind power and uncontrollable load

Fig.4 Changing curves of state variable for ATCLs

Fig.5 Changing curves of state variable for MT

Fig.6 Original tie-line power curve

Fig.7 Changing curve of temperature setting value for ATCLs

Fig.8 Tie-line power control performance

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