We study the interdependence between transportation and power systems considering decentralized renewable generators and electric vehicles (EVs). We formulate the problem in a stochastic multiagent optimization framework considering the complex interactions between EV/conventional vehicle drivers, renewable/conventional generators, and independent system operators, with locational electricity and charging prices endogenously determined by markets. We show that the multiagent optimization problems can be reformulated as a single convex optimization problem and prove the existence and uniqueness of the equilibrium. To cope with the curse of dimensionality, we propose the alternating direction method of multipliers (ADMM)-based decomposition algorithm to facilitate parallel computing. Numerical insights are generated using standard test systems in the transportation and power system literature.
A Stochastic Multiagent Optimization Framework for Interdependent Transportation and Power System Analyses
IEEE Transactions on Transportation Electrification ; 7 , 3 ; 1088-1098
01.09.2021
1884496 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Optimal Operation of Interdependent Power Systems and Electrified Transportation Networks
ArXiv | 2017
|Selection and Scheduling of Interdependent Transportation Projects with Island Models
Transportation Research Record | 2006
|Selection and Scheduling of Interdependent Transportation Projects with Island Models
British Library Conference Proceedings | 2006
|Selection and Scheduling of Interdependent Transportation Projects with Island Models
Online Contents | 2006
|