Multi-Objective Optimal Charging Control of Plug-In Hybrid Electric Vehicles in Power Distribution Systems

With the increasing popularity of plug-in hybrid electric vehicles (PHEVs), the coordinated charging of PHEVs has become an important issue in power distribution systems. This paper employs a multi-objective optimization model for coordinated charging of PHEVs in the system, in which the problem of valley filling and total cost minimization are both investigated under the system’s technical constraints. To this end, a hierarchical optimal algorithm combining the water-filling-based algorithm with the consensus-based method is proposed to solve the constrained optimization problem. Moreover, a moving horizon approach is adopted to deal with the case where PHEVs arrive and leave randomly. We show that the proposed algorithm not only enhances the stability of the power load but also achieves the global minimization of vehicle owners charging costs, and its implementation is convenient in the multi-level power distribution system integrating the physical power grid with a heterogeneous information network. Numerical simulations are presented to show the desirable performance of the proposed algorithm.

[1]  J. Morris Chang,et al.  Fair Demand Response With Electric Vehicles for the Cloud Based Energy Management Service , 2018, IEEE Transactions on Smart Grid.

[2]  Tao Wang,et al.  Privacy Preservation in Big Data From the Communication Perspective—A Survey , 2019, IEEE Communications Surveys & Tutorials.

[3]  Hao Xing,et al.  Decentralized Optimal Scheduling for Charging and Discharging of Plug-In Electric Vehicles in Smart Grids , 2016, IEEE Transactions on Power Systems.

[4]  Walid Saad,et al.  Economics of Electric Vehicle Charging: A Game Theoretic Approach , 2012, IEEE Transactions on Smart Grid.

[5]  P. Iodice A. Senatore,et al.  Experimental-analytical investigation to estimate an emission inventory from road transport sector , 2014 .

[6]  Adolfo Senatore,et al.  Industrial and Urban Sources in Campania, Italy: The Air Pollution Emission Inventory , 2015 .

[7]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[8]  Shahram Jadid,et al.  Multi-objective scheduling of electric vehicles in smart distribution system , 2014 .

[9]  Jun Zhang,et al.  An expanded distributed algorithm for dynamic resource allocation over strongly connected topologies , 2017, 2017 3rd IEEE International Conference on Control Science and Systems Engineering (ICCSSE).

[10]  Hao Xing,et al.  A new approach to distributed charging control for plug-in hybrid electric vehicles , 2014, Proceedings of the 33rd Chinese Control Conference.

[11]  Nadeem Javaid,et al.  Energy Efficient Integration of Renewable Energy Sources in the Smart Grid for Demand Side Management , 2018, IEEE Access.

[12]  MengChu Zhou,et al.  Optimal Load Scheduling of Plug-In Hybrid Electric Vehicles via Weight-Aggregation Multi-Objective Evolutionary Algorithms , 2017, IEEE Transactions on Intelligent Transportation Systems.

[13]  Hamidreza Zareipour,et al.  Long-Term Scheduling of Battery Storage Systems in Energy and Regulation Markets Considering Battery’s Lifespan , 2018, IEEE Transactions on Smart Grid.

[14]  Ufuk Topcu,et al.  Optimal decentralized protocol for electric vehicle charging , 2011, IEEE Transactions on Power Systems.

[15]  Wenjie Zhang,et al.  Development of an Equivalent Circuit of a Large Power System for Real-Time Security Assessment , 2018, IEEE Transactions on Power Systems.

[16]  Saifur Rahman,et al.  Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles , 2011, IEEE Transactions on Smart Grid.

[17]  Shengli Xie,et al.  PHEV Charging and Discharging Cooperation in V2G Networks: A Coalition Game Approach , 2014, IEEE Internet of Things Journal.

[18]  M. Ilic,et al.  Optimal Charge Control of Plug-In Hybrid Electric Vehicles in Deregulated Electricity Markets , 2011, IEEE Transactions on Power Systems.

[19]  Ayaz Ahmad,et al.  A review of EVs charging: From the perspective of energy optimization, optimization approaches, and charging techniques , 2018, Transportation Research Part D: Transport and Environment.

[20]  Hao Xing,et al.  Decentralized Optimal Demand-Side Management for PHEV Charging in a Smart Grid , 2015, IEEE Transactions on Smart Grid.