RPSMDSM: Residential Power Scheduling and Modelling for Demand Side Management

被引:1
|
作者
Ahmed, Sheeraz [1 ,6 ]
Raza, Ali [2 ,6 ]
Shafique, Shahryar [1 ]
Ahmad, Mukhtar [3 ]
Khan, M. Yousaf Ali [4 ]
Nawaz, Asif [5 ,6 ]
Tariq, Rohi [6 ]
机构
[1] IQRA Natl Univ, Peshawar, Pakistan
[2] Edwardes Coll, Peshawar, Pakistan
[3] Islamia Coll Univ, Peshawar, Pakistan
[4] Gomal Univ, Dera Ismail Khan, Pakistan
[5] Higher Coll Technol, Dubai, U Arab Emirates
[6] Career Dynam Res Ctr, Peshawar, Pakistan
关键词
Power Scheduling; Demand Side Management; Home Energy Management; Real-time Pricing; energy harvesting; SMART; PREFERENCE; SCHEME;
D O I
10.3837/tiis.2020.06.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In third world countries like Pakistan, the production of electricity has been quickly reduced in past years due to rely on the fossil fuel. According to a survey conducted in 2017, the overall electrical energy capacity was 22,797MW, since the electrical grids have gone too old, therefore the efficiency of grids, goes down to nearly 17000MW. Significant addition of fossil fuel, hydro and nuclear is 64.2%, 29% and 5.8% respectively in the total electricity production in Pakistan. In 2018, the demand crossed 20,223MW, compared to peak generation of 15,400 to 15,700MW as by the Ministry of Water and Power. Country faces a deficit of almost 4000MW to 5000MW for the duration of 2019 hot summer term. Focus on one aspect considering Demand Side Management (DSM) cannot oversea the reduction of gap between power demand and customer supply, which eventually leads to the issue of load shedding. Hence, a scheduling scheme is proposed in this paper called RPSMDSM that is based on selection of those appliances that need to be only Turned-On, on priority during peak hours consuming minimum energy. The Home Energy Management (HEM) system is integrated between consumer and utility and bidirectional flow is presented in the scheme. During peak hours of electricity, the RPSMDSM is capable to persuade less power consumption and accomplish productivity in load management. Simulations show that RPSMDSM scheme helps in scheduling the electricity loads from peak price to off-peak price hours. As a result, minimization in electricity cost as well as (Peak-to-Average Ratio) PAR are accomplished with sensible waiting time.
引用
收藏
页码:2398 / 2421
页数:24
相关论文
共 50 条
  • [1] A Hybrid Technique for Residential Load Scheduling in Smart Grids Demand Side Management
    Rahim, Muhammad Hassan
    Khalid, Adia
    Zafar, Ayesha
    Feroze, Fozia
    Rahim, Sahar
    Javaid, Nadeem
    [J]. ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES, 2018, 17 : 1007 - 1017
  • [2] Demand Side Management for Residential Consumers
    Kinhekar, Nandkishor
    Padhy, Narayana Prasad
    Gupta, Hari Om
    [J]. 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [3] Residential Appliances Scheduling Using Binary Sparrow Search Algorithm For Demand Side Management
    Jrhilifa, Ismael
    Ouadi, Hamid
    Jilbab, Abdelilah
    Gheouany, Saad
    Mounir, Nada
    El Bakali, Saida
    [J]. IFAC PAPERSONLINE, 2024, 58 (13): : 194 - 199
  • [4] A demand side management scheme for optimal power scheduling of industrial loads
    Sardar, Azka
    Khan, Saad Ullah
    Hassan, Muhammad Azhar
    Qureshi, Ijaz Mansoor
    [J]. ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2023, 14 (02): : 335 - 356
  • [5] A demand side management scheme for optimal power scheduling of industrial loads
    Azka Sardar
    Saad Ullah Khan
    Muhammad Azhar Hassan
    Ijaz Mansoor Qureshi
    [J]. Energy Systems, 2023, 14 : 335 - 356
  • [6] An Overview of Residential Demand Side Management Strategies
    Cherukuri, S. Hari Charan
    Saravanan, B.
    Arunkumar, G.
    [J]. 2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2019,
  • [7] Power Demand Side Management And Demand Response
    Su Xinxia
    Wang Zhijie
    Ye Yizhi
    Chen Lijuan
    Pei Zeyang
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 1947 - 1951
  • [8] Particle Swarm Optimization in Residential Demand-Side Management: A Review on Scheduling and Control Algorithms for Demand Response Provision
    Menos-Aikateriniadis, Christoforos
    Lamprinos, Ilias
    Georgilakis, Pavlos S.
    [J]. ENERGIES, 2022, 15 (06)
  • [9] Optimal Scheduling of Residential Electricity Demand Based on the Power Management of Hybrid Energy Resources
    Hashemi, Abozar
    Derakshan, Ghasem
    Pahlavani, M. R. Alizadeh
    Abdi, Babak
    [J]. ENVIRONMENTAL AND CLIMATE TECHNOLOGIES, 2020, 24 (01) : 580 - 603
  • [10] A Model Predictive Control Approach for Demand Side Management of Residential Power to Heat Technologies
    Kramer, Michael
    Jambagi, Akhila
    Cheng, Vicky
    [J]. 2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,