Abstract
Natural gas and heating water transmission systems operate at slower rates than electric power, making resource cooperation in integrated energy systems (IESs) difficult. Moreover, large-scale fluctuating wind power integrated into IESs further complicates the coordination of each system. Therefore, to coordinate electric power, gas, and heating systems featuring different time scales, an optimal scheduling model for IESs considering the dynamic characteristics and uncertainty of wind power is proposed to improve the economy and security of IESs. First, conditional value-at-risk is introduced to quantitatively evaluate the wind power uncertainty. Then, heat-gas dynamic characteristics with different inertia time constants are coordinated to establish the optimal operation model of IESs with uncertain wind power. Finally, case studies based on a modified simulation system are conducted to demonstrate the efficiency of the proposed method for improving the flexibility and economy of IES operation.
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