Decentralized Demand Side Management and Control of PEVs Connected to a Smart Grid

被引:0
|
作者
Ramachandran, Bhuvana [1 ]
Ramanathan, Alamelu [2 ]
机构
[1] Univ West Florida, Dept Elect & Comp Engn, Pensacola, FL 32514 USA
[2] Loyola ICAM Coll Engn, Dept Elect & Elect Engn, Madras, Tamil Nadu, India
关键词
Charge control; demand side management; hyper heuristics; multi-objective optimization; plug in electric vehicle; IN ELECTRIC VEHICLES; LOAD MANAGEMENT; IMPACT; ELECTRIFICATION;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The recent push for electrified vehicles, including both plug-in hybrid vehicles and pure electric vehicle may further increase peak electrical load if left unmitigated, resulting in more demand for generation and transmission capacities. Fortunately, PEVs can be treated as controllable loads or even power sources under extraneous situations for demand side management (DSM). Although centralized approach certainly performs an effective demand side management, an important concept regarding the privacy of the information access is not already considered. The objective function for this multi objective problem of demand side power management and decentralized control is the total electricity generation cost and cost associated with implementing the demand side management programs. Thus saving a unit of electricity because of implementing demand side management can be treated like producing a unit of electricity by a power plant. The main constraint related to DSM is that the maximum expected saving that could be achieved by implementing DSM is capped to a realistic maximum limit. The framework is flexible and could incorporate any meta-heuristic for multi-objective optimization. This multi objective approach is applied on a test system comprising of 2516 domestic consumers, 296 small consumption firms, 150 medium consumption firms and 4 large consumption firms. It is observed that PEVs could utilize information transfer with the grid to shape the effect exhibited on the overall load. Also the obtained numerical results show that this approach will improve PEV market penetration, especially relative to centralized strategies that could deter consumers who wish to independently determine their charging strategy.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Demand Side Management Based Optimal Energy Management Technique for Smart Grid
    Ahmad, Junaid
    Abrar, Muhammad
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2017, 41 (02) : 81 - 91
  • [42] Research on grid-connected coordination control strategy of ring microgrids based on demand side management
    Yan N.
    Pan X.
    Ma S.
    Zhao H.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (12): : 368 - 374
  • [43] Scavenging differential evolution algorithm for smart grid demand side management
    Essiet, Ima
    Sun, Yanxia
    Wang, Zenghui
    2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS PROCESSING AND MANUFACTURING (SMPM 2019), 2019, 35 : 595 - 600
  • [44] Demand-side management for smart grid via diffusion adaptation
    Latifi, Milad
    Khalili, Azam
    Rastegarnia, Amir
    Bazzi, Wael M.
    Sanei, Saeid
    IET SMART GRID, 2020, 3 (01) : 69 - 82
  • [45] Demand-Side Energy Storage System Management In Smart Grid
    Chiu, Wei-Yu
    Sun, Hongjian
    Poor, H. Vincent
    2012 IEEE THIRD INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2012, : 73 - 78
  • [46] A novel pricing mechanism for demand side load management in smart grid
    Rasheed, Muhammad Babar
    Javaid, Nadeem
    Awais, Muhammad
    Akbar, Mariam
    Khan, Zahoor Ali
    2017 31ST IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (IEEE WAINA 2017), 2017, : 283 - 290
  • [47] Incentive Mechanism for Demand Side Management in Smart Grid Using Auction
    Ma, Jinghuan
    Deng, Jun
    Song, Lingyang
    Han, Zhu
    IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (03) : 1379 - 1388
  • [48] Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
    Afzaal, Ayesha
    Nazir, Mohsin
    MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2018, 37 (04) : 633 - 644
  • [49] A Two Stage Interactive Framework for Demand Side Management in Smart Grid
    Rawat, Tanuj
    Niazi, K. R.
    Gupta, Nikhil
    Sharma, Sachin
    2019 IEEE 16TH INDIA COUNCIL INTERNATIONAL CONFERENCE (IEEE INDICON 2019), 2019,
  • [50] Demand side management programs in smart grid through cloud computing
    Nasab, Mostafa Azimi
    Hatami, Mohsen
    Zand, Mohammad
    Nasab, Morteza Azimi
    Padmanaban, Sanjeevikumar
    Renewable Energy Focus, 2024, 51