Decentralized Charging of Plug-In Electric Vehicles Using Lagrange Relaxation Method at the Residential Transformer Level
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Shaolun Xu
,
Zheng Yan
Abstract
The expected rise of plug-in electric vehicles (PEVs) will lead to a significant additional demand on low voltage distribution systems, and PEVs can challenge power quality and reliability of power systems if their charging is not coordinated. The PEV aggregator, acting as an intermedium between customers and the grid operator, can solve the charging management problem effectively. In this study, a decentralized scheduling scheme of aggregators for PEV charging based on Lagrange Relaxation method is proposed. At the same time, a centralized model of aggregators is also formulated in the same situation in order to make comparisons with the proposed scheme. The two charging models are both aimed at maximizing the charging profit of PEV aggregators considering constraints including users’ electricity demand, charging time, available capacity of distribution transformers, etc. A number of charging scenarios are simulated to evaluate the proposed method. The economic benefits, computational complexity and efficiency are compared and analyzed between the centralized charging and the decentralized charging. Simulation results verify that the decentralized charging strategy based on Lagrange Relaxation method gains charging profit close to the centralized charging yet is more efficient and realizable than the centralized charging.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51377103
Funding statement: This research is supported by the National Natural Science Foundation of China (Grant no. 51377103).
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Articles in the same Issue
- Frontmatter
- Review
- Detection of Frauds and Other Non-technical Losses in Power Utilities using Smart Meters: A Review
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- Improving the Dynamic Response during Field Weakening Control of IPMSM Drive System using Adaptive Hysteresis Current Control Technique
- Optimal Energy Management for a Smart Grid using Resource-Aware Utility Maximization
- Decentralized Charging of Plug-In Electric Vehicles Using Lagrange Relaxation Method at the Residential Transformer Level
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Articles in the same Issue
- Frontmatter
- Review
- Detection of Frauds and Other Non-technical Losses in Power Utilities using Smart Meters: A Review
- Research Articles
- Improving the Dynamic Response during Field Weakening Control of IPMSM Drive System using Adaptive Hysteresis Current Control Technique
- Optimal Energy Management for a Smart Grid using Resource-Aware Utility Maximization
- Decentralized Charging of Plug-In Electric Vehicles Using Lagrange Relaxation Method at the Residential Transformer Level
- Power Quality Improvement in Induction Furnace by Harmonic Reduction Using Dynamic Voltage Restorer
- Feasibility of Stochastic Voltage/VAr Optimization Considering Renewable Energy Resources for Smart Grid
- Design and Analysis of Grid Connected Photovoltaic Fed Unified Power Quality Conditioner
- Sympathetic Trippings Blocking in Over Current Relay Coordination Algorithm during Steady State & Transient Network Topologies
- Application of Multi-Objective Human Learning Optimization Method to Solve AC/DC Multi-Objective Optimal Power Flow Problem
- Intelligent Energy Management System for PV-Battery-based Microgrids in Future DC Homes
- Optimum Location of Voltage Regulators in the Radial Distribution Systems
- Design of Passive Power Filter for Hybrid Series Active Power Filter using Estimation, Detection and Classification Method
