Optimal scheduling of virtual power plant with battery degradation cost

This study proposes a novel optimal generation scheduling model for virtual power plant (VPP) considering the degradation cost of energy storage system (ESS). The VPP is generally formed by a mix of distributed energy resources, and the ESS is an important installation for flexible VPP dispatch due...

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Vydáno v:	IET generation, transmission & distribution Ročník 10; číslo 3; s. 712 - 725
Hlavní autoři:	Zhou, Bin, Liu, Xi, Cao, Yijia, Li, Canbing, Chung, Chi Yung, Chan, Ka Wing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 18.02.2016
Témata:	Approximation approximation theory battery degradation costing battery storage plants battery storage system costing Degradation distributed energy resource distributed power generation Electric batteries Electric power generation Electric power plants Energy storage energy storage system ESS flexible VPP dispatching integer programming linear programming optimal generation scheduling model optimal VPP scheduling problem Optimization piecewise linear function power distribution economics power generation dispatch power generation economics power generation scheduling profitability Scheduling Special Issue: Optimal Utilisation of Storage Systems in Transmission and Distribution Systems stochastic programming two‐stage stochastic mixed‐integer linear programming virtual power plant profitability approximation theory integer programming ESS stochastic programming costing virtual power plant distributed energy resource linear programming power distribution economics battery degradation costing distributed power generation power generation scheduling power generation dispatch power generation economics energy storage system piecewise linear function energy storage flexible VPP dispatching optimal VPP scheduling problem battery storage plants optimal generation scheduling model two-stage stochastic mixed-integer linear programming battery storage system
ISSN:	1751-8687, 1751-8695
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