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Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
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Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
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Journal Article
Renewable generation capacity and reliability assessments for resilient active distribution networks based on time-sequence production simulation
2021
Overview
The penetration of renewable generation will affect the energy utilization efficiency, economic benefit and reliability of the active distribution network (ADN). This paper proposes a time-sequence production simulation (TSPS) method for renewable generation capacity and reliability assessments in ADN considering two operational status: the normal status and the fault status. During normal operation, an optimal dispatch model is proposed to promote the renewable consumption and increase the economic benefit. When a failure occurs, the renewable generators are partitioned into islands for resilient power supply and reliability improvement. A novel dynamic island partition model is presented based on mixed integer second-order cone programming (MISOCP). The effectiveness of the proposed TSPS method is demonstrated in a standard network integrated with historical data of load and renewable generations.
Publisher
Chinese Society for Electrical Engineering Journal of Power and Energy Systems,China electric power research institute
