Author(s)

Lu Wang ¹, Wanting Wei ²

Affiliation(s)

¹ College of Economics and Management, North China Electric Power University, Beijing, China
² Beijing Xinyuan Intelligent Internet Technology Co., Ltd., Changping, Beijing, China

Corresponding Author

Lu Wang

ABSTRACT

In order to reduce the instability of integrated energy system caused by wind power, load prediction error, and low-carbon and low-cost operation, a multi-time scale low-carbon scheduling optimization method for integrated energy system is proposed. The fuzzy variables and fitting loads under different time scales are obtained by analyzing the change of prediction error of wind energy, load and user response law under the time-sharing price. To achieve deviation control at different time scales, minimize the cost of daily power purchases, gas purchases, wind discards and carbon emissions. To satisfy load balance, active backup, power purchase constraint and energy storage capacity constraint to construct an optimized scheduling model for integrated energy system. Implementation of low carbon optimization scheduling requirements for integrated energy systems. The experimental results show that this method can realize the optimal dispatch of electric, gas and heat load of integrated energy system. The higher the accuracy of wind power and load prediction, the lower the optimal dispatch cost of integrated energy system.

KEYWORDS

Prediction Error, Time-Sharing Tariff, User Response, Low Carbon Scheduling, Deviation Control, Cost of Punishment

CITE THIS PAPER

Lu Wang, Wanting Wei, A Multi-Timescale Low Carbon Scheduling Optimization Method for Integrated Energy System Considering Source-load. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 28-36. DOI: http://dx.doi.org/10.23977/jeeem.2023.060405.

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