Optimal Allocation of Distributed Energy Supply System Under Uncertainty Based Improved Gray Wolf Algorithm
DOI:
https://doi.org/10.13052/dgaej2156-3306.37215Keywords:
Optimal allocation, distributed energy supply system, gray wolf algorithm.Abstract
In order to improve the economical performance of distributed energy supply
system under uncertainty, the improved gray wolf algorithm is constructed for
optimal allocation of distributed energy supply system. The relating research
progress is summarized firstly, and effect of improved gray wolf algorithm
on optimal allocation of distributed energy supply system are studied. The
optimal allocation model of distributed energy supply system is constructed
considering fuel consumption, operation and maintenance cost, environment
penalty cost, and power grid energy exchange function, and the uncertain
factor is processed based on scienario method. And then the improved gray
wolf algorithm is designed, and the initial strategy of population and the reg-
ulated method of main parameters are improved. Finally, simulation analysis
is carried out, simulation results show that the proposed model can obtain
best optimal allocation effect of system.
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References
Rabbia Siddique, Safdar Raza, Abdul Mannan, Linta Khalil, Nashitah
Alwaz, Mughees Riaz, A modified NSGA approach for optimal sizing
and allocation of distributed resources and battery energy storage system
in distribution network, Materials Today: Proceedings, 2020, in press.
Takele Ferede Agajie, Baseem Khan, Josep M. Guerrero, Om prakash
Mahela, Reliability enhancement and voltage profile improvement of
distribution network using optimal capacity allocation and placement
of distributed energy resources, Computers & Electrical Engineering,
, 93(7):107295.
Choton K. Das, Octavian Bass, Thair S. Mahmoud, Ganesh Kothapalli,
Mohammad A.S. Masoum, Navid Mousavi, An optimal allocation and
sizing strategy of distributed energy storage systems to improve per-
formance of distribution networks, Journal of Energy Storage, 2019,
(12):100847.
Choton K. Das, Octavian Bass, Thair S. Mahmoud, Ganesh Kothapalli,
Navid Mousavi, Daryoush Habibi, Mohammad A.S. Masoum, Optimal allocation of distributed energy storage systems to improve performance
and power quality of distribution networks, Applied Energy, 2019,
(10):113468.
Xi Luo, Yanfeng Liu, Jiaping Liu, Xiaojun Liu, Optimal design and cost
allocation of a distributed energy resource (DER) system with district
energy networks: A case study of an isolated island in the South China
Sea, Sustainable Cities and Society, 2019, 51(11):101726.
Ali-Mohammad Hariri, Maryam A. Hejazi, Hamed Hashemi-Dezaki,
Reliability optimization of smart grid based on optimal allocation of pro-
tective devices, distributed energy resources, and electric vehicle/plug-in
hybrid electric vehicle charging stations, Journal of Power Sources,
, 436(10):226824.
Madihah Md Rasid, Junichi Murat, Hirotaka Takano, Fossil fuel cost
saving maximization: Optimal allocation and sizing of Renewable-
Energy Distributed Generation units considering uncertainty via
Clonal Differential Evolution, Applied Thermal Engineering, 2017,
(3):1424–1432.
Gang Chen and Zhongyuan Zhao, Distributed algorithms for resource
allocation in cyber-physical energy systems with uniform/nonuniform
communication delays, Journal of the Franklin Institute, 2020,
(7):4363–4391.
Susan Dominic and Lillykutty Jacob, Joint resource block and power
allocation through distributed learning for energy efficient underlay
D2D communication with rate guarantee, Computer Communications,
, 159(6):26–36.
Mohammad-Reza Yaghoubi-Nia, Hamed Hashemi-Dezaki, Abolfazl
Halvaei Niasar, Optimal stochastic scenario-based allocation of smart
grids’ renewable and non-renewable distributed generation units and
protective devices, Sustainable Energy Technologies and Assessments,
, 44(4):101033.
Tanoy Mukherjee, Ishita Chongder, Shankhamala Ghosh, Akash Dutta,
Abhishek Singh, Ritam Dutta, Bheem Dutt Joshi, Mukesh Thakur,
Lalit Kumar Sharma, Chinnadurai Venkatraman, Debal Ray, Kailash
Chandra, Indian Grey Wolf and Striped Hyaena sharing from the same
bowl: High niche overlap between top predators in a human-dominated
landscape, Global Ecology and Conservation, 2021, 28(8):e01682.
Mehdi Ghalambaz, Reza Jalilzadeh Yengejeh, Amir Hossein Davami,
Building energy optimization using Grey Wolf Optimizer (GWO), Case
Studies in Thermal Engineering, 2021, 27(10):101250.
Yaping Fu, Hui Xiao, Loo Hay Lee, Min Huang, Stochastic optimization
using grey wolf optimization with optimal computing budget allocation,
Applied Soft Computing, 2021, 103(5):107154.
Binghai Zhou, Yuanrui Lei, Bi-objective grey wolf optimization algo-
rithm combined Levy flight mechanism for the FMC green scheduling
problem, Applied Soft Computing, 2021, 111(11): 107717.
Ibrahim Brahmia, Jingcheng Wang, Yuanhao Shi, Yang Lan, Smart
Energy Dispatch for Networked Microgrids Systems Based on Dis-
tributed Control Within a Hierarchy Optimization, IFAC-PapersOnLine,
, 53(2):12999–13004.
S. Adachi, S. Takahashi, H. Kurisu, H. Tadokoro, Estimating Area
Leakage in Water Networks Based on Hydraulic Model and Asset
Information, Procedia Engineering, 2014, 89:278–285.
Shumao Cui, Danfeng Zhu, Bingyong Mao, Fangli Ma, Jianxin Zhao,
Hao Zhang, Wei Chen, Rapid evaluation of optimal growth substrates
and improvement of industrial production of Bifidobacterium adoles-
centis based on the automatic feedback feeding method, LWT, 2021,
(5):110960.
A. Janse van Rensburg, G. van Schoor, P. A. van Vuuren, Stepwise
Global Sensitivity Analysis of a Physics-Based Battery Model using
the Morris Method and Monte Carlo Experiments, Journal of Energy
Storage, 2019, 25(10):100875.
Hongyang Wang, Farshid Torabi, Fanhua Zeng, Huiwen Xiao, Exper-
imental and numerical study of non-equilibrium dissolution and exso-
lution behavior of CO2 in a heavy oil system utilizing Hele-Shaw-like
visual cell, Fuel, 270(6):117501.
Muhammad Abid Saeed, Zahoor Ahmed, Jian Yang, Weidong Zhang,
An optimal approach of wind power assessment using Chebyshev metric
for determining the Weibull distribution parameters, Sustainable Energy
Technologies and Assessments, 2020, 37(2):100612.