Interaction of energy-grid-load based on demand side response of full-cost electricity price

被引:0
|
作者
Xu X.-Y. [1 ]
Jiang Q.-J. [2 ]
Yin C.-B. [3 ]
Jie X.-W. [1 ]
机构
[1] Business School, Sichuan University, Chengdu
[2] Business School, Chengdu University, Chengdu
[3] Tourism and Urban Management School, Jiangxi University of Finance and Economics, Nanchang
基金
中国国家自然科学基金;
关键词
Demand-side response; Energy-grid-load interaction; Full-cost electricity price; Power flow tracking; Safe economic dispatch;
D O I
10.13052/dgaej2156-3306.3611
中图分类号
学科分类号
摘要
In the research of intelligent grids, people usually pay attention to the interaction between power source and load to absorb more new energy. In contrast, the utilization of power source and load on grid resources is less considered, and energy-grid-load is not fully explored. The profound benefits and value of the three interactions. To this end, the paper proposes the interactive mode and method of power supply, power grid, and load based on full-cost electricity price. The power source side needs to consider the impact of transmission costs when optimizing economic dispatch; the load side needs to calculate the full-cost electricity price based on the power flow tracking method, clarify the load's use of power and grid resources, and reflect the “who benefits, who bears the cost” Principles and introduce demand-side response to reflect the meaning and value of full-cost electricity prices. The research found that the calculation example analysis based on the IEEE30-node system verifies that the method in this paper can reasonably allocate the cost of the power grid according to the user's utilization of power grid resources, thereby improving the efficiency, fairness, orderliness and safety of power grid investment and operation. © 2021 River Publishers
引用
收藏
页码:1 / 22
页数:21
相关论文
共 50 条
  • [1] 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
  • [2] AIR CONDITIONING LOAD CONTROL BASED ON THE NETWORK COST AND ELECTRICITY MARKET PRICE UNDER DEMAND SIDE RESPONSE MODEL
    Marwan, Marwan
    Samman, Faizal Arya
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2020, 16 (01): : 223 - 239
  • [3] Demand Side Management in Smart Grid: A Dynamic-Price-Based Demand Response Model
    Wen, Lulu
    Zhou, Kaile
    Feng, Wei
    Yang, Shanlin
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 1439 - 1451
  • [4] Estimated Cost of Electricity with time horizon for Micro Grids Based on the Policy Response of Demand for Real Price of Energy
    Garcia Torres, Edwin Marcelo
    ENFOQUE UTE, 2020, 11 (01): : 41 - 55
  • [5] Demand Response Based on Dynamic Electricity Price and Energy Consumption of Residential House
    Li, Zeya
    Yang, Genke
    Pan, Changchun
    Gong, Qingsong
    2015 CHINESE AUTOMATION CONGRESS (CAC), 2015, : 1361 - 1365
  • [6] Demand-side response model to avoid spike of electricity price
    Marwan, Marwan
    Ledwich, Gerard
    Ghosh, Arindam
    JOURNAL OF PROCESS CONTROL, 2014, 24 (06) : 782 - 789
  • [7] Price learning based load distribution strategies for demand response management in smart grid
    Tang Q.
    Xie M.-Z.
    Yang K.
    Luo Y.-S.
    Li P.
    International Journal of Smart Home, 2016, 10 (11): : 79 - 94
  • [8] Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost
    Yue, Siyu
    Zhu, Di
    Wang, Yanzhi
    Pedram, Massoud
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [9] Research on demand side response system of electricity price under electricity market incentive mechanism
    Xianyu F.
    Hongmei Z.
    Jiang Q.-J.
    Fan K.
    Distributed Generation and Alternative Energy Journal, 2021, 36 (01): : 23 - 42
  • [10] Load Management Optimization to Reduce The Demand Side Energy Cost
    Osama, Marwa
    Elshenawy, Ahmed K.
    Elsingab, Medhat
    2018 IEEE PES/IAS POWERAFRICA CONFERENCE, 2018, : 25 - 31