Comparison of Optimum Energy Scheduling of Emergency Generators of a Large Hospital with Renewable Energy System Using Mathematical Programming Method

被引：0
|
作者：
Baba, Teppei [1 ]
Mizuno, Yuji [1 ]
Tanaka, Yoshito [1 ]
Kurokawa, Fujio [1 ]
Tanaka, Masaharu [2 ]
Colak, Ilhami [3 ]
Matsui, Nobumasa [1 ]
机构：
[1] Nagasaki Inst Appl Sci, 536 Aba Machi, Nagasaki 8510193, Japan
[2] Nagasaki Univ, 1-14 Bunkyo, Nagasaki 8528521, Japan
[3] Nisantasi Univ, Ergenekon Cad 45, Sisli, Turkey
来源：
2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2017年
关键词：
Emergency Generator; Photovoltaic; Power Generation; Hospital; Mathematical Progaramming;
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：
This paper presents a comparison of optimum energy scheduling of emergency generators (EGs) of a large hospital with renewable energy system using mathematical programming methods. A large hospital has the EGs to keep a medical service when a power failure occurred in disaster. In using the EGs, the hospital has to save the fuel consumption in island operation mode to drive the EGs as long as possible operation. Installations of a photovoltaic power generation system (PV) is becoming popular measures against power failure in the hospital. However, the output of the PV is unstable by the weather condition. The optimization on of an energy scheduling of the combination of EGs with the PV is needed. This paper presents the optimum method due to save the fuel consumption of the EGs. As a result, achieved approximately 15.6% in fuel savings by optimal operation from linear programming, and approximately 16.9% in fuel saving by optimal operation from quadratic programming.
引用
收藏
页码：519 / 523
页数：5
相关论文
共 50 条
  • [21] Energy and Reserve Scheduling for Active Distribution System Using Stochastic Programming
    Fang, Maosen
    Chu, Xiaodong
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [22] Large scale energy system planning using quadratic programming
    Ramakrishnan, H.V.
    Journal of the Institution of Engineers (India): Electrical Engineering Division, 1988, 68 pt 5 : 170 - 176
  • [23] An optimum generation scheduling of electrical power system considering the effect of renewable energy sources by using a hybrid metaheuristic search algorithm
    Bhadoria, Ashutosh
    Marwaha, Sanjay
    OPSEARCH, 2024, 61 (03) : 1301 - 1382
  • [24] Energy and exergy analysis and optimum working conditions of a renewable energy system using a transient systems simulation program
    Abu-Hamdeh, Nidal H.
    Alnefaie, Khalid A.
    ENERGY EXPLORATION & EXPLOITATION, 2020, 38 (04) : 1248 - 1261
  • [25] Logistics-energy Collaborative Optimization Scheduling Method for Large Seaport Integrated Energy System
    Huang Y.
    Huang W.
    Wei W.
    Tai N.
    Li R.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (17): : 6184 - 6195
  • [26] Optimal Appliances Scheduling of Home Energy Management System Using Dynamic Programming Method for Auto Demand Response
    Chang, Chien-Kuo
    Lee, Sheng-Hung
    Wu, Ruay-Nan
    Lee, Chung-Heng
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [27] System Frequency Control using Emergency Demand Response in Power Systems with Large-Scale Renewable Energy Sources
    Uehara, Takahiro
    Matayoshi, Hidehito
    Ludin, Gul Ahmad
    Yona, Atsushi
    Senjyu, Tomonobu
    Datta, Manoj
    Howlader, Abdul Motin
    Funabashi, Toshihisa
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 534 - 537
  • [28] Optimum Scheduling of Residential Appliances along with the Management of Distributed Energy Resources using Mixed Integer Linear Programming
    Singh, Paramvir
    Tayal, Nisha
    Verma, Yajvender Pal
    Singh, Baljit
    2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2019,
  • [29] Optimal electric vehicle scheduling method using renewable energy forecasting algorithm in DC nanogrid
    Kim J.-G.
    Chung I.-Y.
    Transactions of the Korean Institute of Electrical Engineers, 2020, 69 (06): : 808 - 820
  • [30] Generation scheduling with large-scale integration of renewable energy sources using grey wolf optimization
    Saravanan, R.
    Subramanian, S.
    SooriyaPrabha, S.
    Ganesan, S.
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2018, 12 (04) : 675 - 695
12345