Performance enhancement of online energy scheduling in a radial utility distribution microgrid

被引：23
|
作者：
Mohan, Vivek [1 ]
Singh, Jai Govind [1 ]
Ongsakul, Weerakorn [1 ]
Suresh, M. P. Reshma [1 ]
机构：
[1] Asian Inst Technol, Sch Environm Resources & Dev, Energy Field Study, Pathum Thani 12120, Thailand
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2016年 / 79卷
关键词：
Particle swarm optimization; Optimal power flow; Microgrid; Demand response; Energy scheduling; OPTIMIZATION;
D O I：
10.1016/j.ijepes.2016.01.009
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an optimal power dispatch formulation is proposed in the operating horizon using real time measurements to enhance the performance of online energy scheduling in microgrid considering renewable energy, grid power trade and demand response. A stochastic weight tradeoff particle swarm optimization (SWT-PSO) based backward-forward sweep (BFS) optimal power flow (OPF) method is used by the microgrid central controller (MGCC) to obtain the online optimal schedules of distributed energy resources (DERs). The effectiveness of the suggested approach is investigated on the residential feeder of the CIGRE LV benchmark microgrid in terms of reduction in fuel & emission costs and voltage deviation. In addition, settling time in overall implementation is drastically reduced. Also, the paper analytically justifies the use of (1) renewable energy sources, grid trade and prioritized load curtailment, (2) SWT-PSO over priority listing method and (3) online OPF over online economic dispatch (ED). (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：98 / 107
页数：10
相关论文
共 50 条
  • [1] Impact of microgrid operation on performance of radial distribution system
    Chaphekar, Shalaka
    Dharme, Anjali
    [J]. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2019, 44 (10):
  • [2] Impact of microgrid operation on performance of radial distribution system
    SHALAKA CHAPHEKAR
    ANJALI DHARME
    [J]. Sādhanā, 2019, 44
  • [3] A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks
    Shifan Wen
    Xing He
    [J]. Neural Processing Letters, 2022, 54 : 369 - 385
  • [4] A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks
    Wen, Shifan
    He, Xing
    [J]. NEURAL PROCESSING LETTERS, 2022, 54 (01) : 369 - 385
  • [5] Centralized online algorithm for optimal energy distribution in connected microgrid
    [J]. SpringerBriefs Appl. Sci. Technol., (31-61):
  • [6] Robust MPC-based microgrid scheduling for resilience enhancement of distribution system
    Cai, Sheng
    Xie, Yunyun
    Wu, Qiuwei
    Xiang, Zhengrong
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 121
  • [7] Optimization algorithms for energy storage integrated microgrid performance enhancement
    Roslan, M. F.
    Hannan, M. A.
    Ker, P. J.
    Muttaqi, K. M.
    Mahlia, T. M., I
    [J]. JOURNAL OF ENERGY STORAGE, 2021, 43
  • [8] Data-Driven Online Energy Scheduling of a Microgrid Based on Deep Reinforcement Learning
    Ji, Ying
    Wang, Jianhui
    Xu, Jiacan
    Li, Donglin
    [J]. ENERGIES, 2021, 14 (08)
  • [9] Performance enhancement of radial distribution system with optimal DG allocation
    Roy, Kingshuk
    Bansal, Sanjay K.
    Bansal, Ramesh C.
    [J]. INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION, 2023,
  • [10] Novel Scheduling for Energy Management in Microgrid
    Lu, Zaixin
    Youngs, Jd
    Chen, Zhi
    Pan, Miao
    [J]. COMBINATORIAL OPTIMIZATION AND APPLICATIONS, COCOA 2017, PT II, 2017, 10628 : 32 - 44
12345