Intelligent Scheduling Optimization of Seasonal CCHP System Using Rolling Horizon Hybrid Optimization Algorithm and Matrix Model Framework

被引:19
|
作者
Wang Yanan [1 ]
Wu Jiekang [1 ]
Mao Xiaoming [1 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou, Guangdong, Peoples R China
来源
IEEE ACCESS | 2018年 / 6卷
基金
中国国家自然科学基金;
关键词
CCHP system; rolling horizon; matrix model framework; intelligent scheduling; PARTICLE SWARM OPTIMIZATION; ENERGY MANAGEMENT; FUEL PRICE; SOLAR; GAS; PERFORMANCE; MICROGRIDS; ECONOMICS; STRATEGY; DESIGN;
D O I
10.1109/ACCESS.2018.2878044
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The optimal operation of a combined cooling, heating and power (CCHP) system depends on its structure and adopted energy dispatch strategies. This paper proposes a matrix modeling method for the CCHP system structure, in which multi-energy supply is regarded as the input of system, and cooling, heating, electric load as the output of the system. The energy flow from the system input to output includes the scheduling matrix, the efficiency matrix, and the energy conversion matrix model. Adopt mixed rolling-horizon and particle swarm optimization algorithm to allocation the system scheduling factor to promote optimal operation of CCHP systems. According to the characteristics of input and output energy flow in different seasons of a certain area, the system is simulated and calculated. The results show that the adoption of rolling-horizon optimization for the thermal-electric load in winter can fully calculate the three scheduling strategies and select the optimal strategy in the rolling window. Compared to other methods, the optimization of scheduling factors in summer highlights the low-cost benefits.
引用
收藏
页码:75132 / 75142
页数:11
相关论文
共 50 条
  • [21] A modified particle swarm optimization algorithm in a rolling horizon framework for the aggregate production planning problem: pharmaceutical industry case
    Boujnah, Imen
    Tlili, Mounira
    Korbaa, Ouajdi
    ANNALS OF OPERATIONS RESEARCH, 2024,
  • [22] Scheduling of wind-battery hybrid system in the electricity market using distributionally robust optimization
    Xu, Xiao
    Hu, Weihao
    Cao, Di
    Huang, Qi
    Liu, Zhou
    Liu, Wen
    Chen, Zhe
    Blaabjerg, Frede
    RENEWABLE ENERGY, 2020, 156 (156) : 47 - 56
  • [23] Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump
    Ma, Weiwu
    Fang, Song
    Liu, Gang
    ENERGY, 2017, 141 : 1439 - 1455
  • [24] Pump Scheduling Optimization Model for Water Supply System Using AWGA
    Abiodun, Folorunso Taliha
    Ismail, Fatimah Sham
    2013 IEEE SYMPOSIUM ON COMPUTERS AND INFORMATICS (ISCI 2013), 2013,
  • [25] A Novel Resource Scheduler for Resource Allocation and Scheduling in Big Data Using Hybrid Optimization Algorithm at Cloud Environment
    Selvaraj, Aarthee
    Rajendran, Prabakaran
    Rajangam, Kanimozhi
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2023, 20 (06) : 863 - 873
  • [26] System Sizing and Energy Management Optimization using a Hybrid Model
    Toughzaoui, Yassine
    Obeid, Hussein
    Petrone, Raffaele
    Louahlia, Hasna
    Gualous, Hamid
    2022 10TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2022, : 397 - 402
  • [27] Size optimization of a stand-alone hybrid photovoltaic/wind/battery renewable energy system using a heuristic optimization algorithm
    Ayan, Sefer
    Toylan, Hayrettin
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (11) : 14908 - 14925
  • [28] Hybrid swarm-based intelligent algorithm for lattice structure optimization in additive manufacturing system
    Koduru, Jyothi Padmaja
    Narayana, Kavuluru Lakshmi
    Mantrala, Kedar Mallik
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2022, 16 (04): : 1511 - 1524
  • [29] An efficient flow-shop scheduling algorithm based on a hybrid particle swarm optimization model
    Kuo, I-Hong
    Horng, Shi-Jinn
    Kao, Tzong-Wann
    Lin, Tsung-Lieh
    Lee, Cheng-Ling
    Terano, Takao
    Pan, Yi
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 7027 - 7032
  • [30] An efficient flow-shop scheduling algorithm based on a hybrid particle swarm optimization model
    Kuo, I-Hong
    Horng, Shi-Jinn
    Kao, Tzong-Wann
    Lin, Tsung-Lieh
    Fani, Pingzhi
    NEW TRENDS IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4570 : 303 - +