Deep Peak-shaving Transformation Planning of Thermal Power Units Based on Approximate Dynamic Programming

doi:10.16182/j.issn1004731x.joss.20-0127

Abstract

Abstract: The generation of renewable energy has great randomness. The lack of flexibility of thermal power unit leads to the problem of peak adjustment. Three reformation schemes for thermal power units, including the thermal power unit internal transformation, configurating energy storage, and joint transformation of the two are proposed. Taking into account the additional cost of thermal powerunit in the deep peak regulation, the planning model of thermal power units depth peak-shaving transformation considering the unit combination is proposed, and the strategy iteration approximate dynamic programming algorithm to decouple the model is presented. The “curses of dimensionality” can be avoided effectively by replacing the exact value function in DP method with the approximate value function. Case study on improved 9-bus test system shows that the proposed model and method are effective. The results show that using SI-ADP to solve the model can obtain the economic optimal transformation strategy under different transformation schemes.

Key words: flexibility of thermal power units, deep peak-shaving transformation, approximate dynamic programming, renewable energy consumption, energy storage, unit commitment

CLC Number:

Sun Weiqing, Song He, Han Dong, Tian Kunpeng. Deep Peak-shaving Transformation Planning of Thermal Power Units Based on Approximate Dynamic Programming[J]. Journal of System Simulation, 2021, 33(6): 1415-1426.

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