Aiming at energy coupling problem existing in the coordination and interaction among multiple virtual power plants (MVPP)
a quantitative evaluation function of service quality for shared energy storage (SES) is established. Combined with the evaluation function
a bi-level optimization scheduling strategy of energy sharing among MVPP is proposed. In the upper level
taking into account both the target of economic benefits and service quality of SES
the capacity allocation is optimized. In the lower level
the units output within MVPP and transaction power among them are optimized to minimize the operation cost. To address the uncertainty of RE
based on chance constraint
an optimization model is constructed
where the KKT condition and the Big-M method are used to transform bi-level model into an equivalent single-level model. Simulation verifies the rationality of the proposed model and cases analysis are employed to demonstrate the impact of SES service quality and confidence level on energy sharing and energy storage configuration of MVPP. In addition
results show that with the consideration of service quality for SES
the enthusiasm of MVPP to participate in power sharing is enhanced effectively
realizing the rational utilization of resources.
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references
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