Litcius/Paper detail

A control optimization model for CVaR risk of distribution systems with PVs/DSs/EVs using Q-learning powered adaptive differential evolution algorithm

Huiling Tang, Wu Jiekang, Chen Lingmin, Liu Zhijun, Fan Wu, Li Kangxing, Zhijiang Wu, Yu Fangming, Bi Qilin

2021International Journal of Electrical Power & Energy Systems21 citationsDOI

Topics & Concepts

CVARDifferential evolutionComputer scienceMathematical optimizationDistributed generationRenewable energyOptimization problemElectric power systemControl theory (sociology)Energy storagePower (physics)Control engineeringEngineeringControl (management)AlgorithmExpected shortfallElectrical engineeringMathematicsEconomicsPhysicsQuantum mechanicsRisk managementManagementArtificial intelligenceMicrogrid Control and OptimizationSmart Grid Energy ManagementOptimal Power Flow Distribution
A control optimization model for CVaR risk of distribution systems with PVs/DSs/EVs using Q-learning powered adaptive differential evolution algorithm | Litcius