Stochastic demand side management in smart grid system

被引：0
|
作者：
Kumar M. [1 ]
Samuel C. [1 ]
机构：
[1] Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi
来源：
International Journal of Networking and Virtual Organisations | 2019年 / 20卷 / 04期
关键词：
Demand side management; Goodness-of-fit test; Load demand; Probability distribution; Smart grid; Stochastic demand;
D O I：
10.1504/IJNVO.2019.100596
中图分类号：
学科分类号：
摘要：
Two-way communication of smart grid allows customer to see their energy consumption in demand side, and makes the energy supplier informed to manage economic dispatch based on load demand variability. Statistical analysis of demand-side management gives us the fitness of hourly load demand with proposed probability density functions. We proposed Lognormal, Gamma and Weibull probability density function for estimating the load demand variability at Banaras Hindu University (BHU) campus. We have collected the hourly load demand data of BHU campus for a year from the Electricity & Water Supply Service Center, BHU. The fitness of data with theoretical probability density function has been analysed with three goodness-of-fit tests named Kolmogorov-Smirnov, Anderson-Darling, and Cramer-von Mises tests. Modern R programming language software has been used for the computational work and graphical analysis. With this, we can manage optimal power flow between demand and supply to increase the system reliability. Copyright © 2019 Inderscience Enterprises Ltd.
引用
收藏
页码：319 / 339
页数：20
相关论文
共 50 条
  • [41] Advanced Demand Side Management for the Future Smart Grid Using Mechanism Design
    Samadi, Pedram
    Mohsenian-Rad, Hamed
    Schober, Robert
    Wong, Vincent W. S.
    IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) : 1170 - 1180
  • [42] Population Dynamic Human Behavioral Models for Smart Grid Demand Side Management
    Li, Xiaohua
    Ghorbaniparvar, Mohammadreza
    Zhou, Ning
    2016 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2016,
  • [43] A Bayesian Demand-Side Management Strategy for Smart Micro-Grid
    Sola M.
    Vitetta G.M.
    Sola, Matteo (matteo.sola@unimore.it), 1600, Springer (01):
  • [44] Multi-objective Optimization for Demand Side Management in A Smart Grid Environment
    Lokeshgupta, B.
    Sadhukhan, A.
    Sivasubramani, S.
    2017 7TH INTERNATIONAL CONFERENCE ON POWER SYSTEMS (ICPS), 2017, : 200 - 205
  • [45] Demand side management in hybrid rooftop photovoltaic integrated smart nano grid
    Kalair, Ali Raza
    Abas, Naeem
    Ul Hasan, Qadeer
    Seyedmahmoudian, Mehdi
    Khan, Nasrullah
    JOURNAL OF CLEANER PRODUCTION, 2020, 258
  • [46] An Efficient Genetic Algorithm Based Demand Side Management Scheme for Smart Grid
    Awais, M.
    Javaid, N.
    Shaheen, N.
    Iqbal, Z.
    Rehman, G.
    Muhammad, K.
    Ahmad, I.
    PROCEEDINGS 2015 18TH INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS (NBIS 2015), 2015, : 351 - 356
  • [47] A Comprehensive Review on Residential Demand Side Management Strategies in Smart Grid Environment
    Iqbal, Sana
    Sarfraz, Mohammad
    Ayyub, Mohammad
    Tariq, Mohd
    Chakrabortty, Ripon K.
    Ryan, Michael J.
    Alamri, Basem
    SUSTAINABILITY, 2021, 13 (13)
  • [48] Multiobjective Optimization for Demand Side Management Program in Smart Grid
    Li, Dan
    Chiu, Wei-Yu
    Sun, Hongjian
    Poor, H. Vincent
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (04) : 1482 - 1490
  • [49] Home Energy Management From Demand Side in Smart Grid
    Zhou, Yimin
    Chen, Yanfeng
    Xu, Guoqing
    Zheng, Chunhua
    2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2014, : 180 - 185
  • [50] Green Energy Scheduling for Demand Side Management in the Smart Grid
    Wang, Kun
    Li, Huining
    Maharjan, Sabita
    Zhang, Yan
    Guo, Song
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2018, 2 (02): : 596 - 611
12345