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作者:

Yang, Zaoli (Yang, Zaoli.) | Ghadamyari, Mojtaba (Ghadamyari, Mojtaba.) | Khorramder, Hossein (Khorramder, Hossein.) | Alizadeh, Seyed Mehdi Seyed (Alizadeh, Seyed Mehdi Seyed.) | Pirouzi, Sasan (Pirouzi, Sasan.) | Milani, Muhammed (Milani, Muhammed.) | Banihashemi, Farzad (Banihashemi, Farzad.) | Ghadimi, Noradin (Ghadimi, Noradin.)

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EI Scopus SCIE

摘要:

Planning of an islanded hybrid system (IHS) with different sources and storages to supply clean, flexible, and highly reliable energy at consumption sites is of high importance. To this end, this paper presents the design of an IHS with a wind turbine, photovoltaic, diesel generator, and stationary (battery) and mobile (electrical vehicles) energy storage systems (ESS). The proposed method includes a multi-objective optimization to minimize the total cost of construction, maintenance, and operation of sources and ESSs within the IHS and the emission level of the system using two separate objective functions. The problem is subject to operational and planning constraints of sources and ESSs and power. Employing the Pareto optimization technique based on the epsilon-constraint method forms a single-objective optimization problem for the proposed design. The problem involves uncertainties of load, renewable energy, and energy demand of mobile ESSs and has a nonlinear form. Adaptive robust optimization based on a hybrid meta-heuristic algorithm that utilizes a combination of the sine-cosine algorithm (SCA) and crow search algorithm (CSA) is proposed to achieve an optimal robust structure for the suggested scheme. In this scheme, operation model of the mobile storage systems in the IHS considering the uncertainties prediction errors and its model using HMA-based ARO besides adopting the HMA to achieve a unique optimal solution are among the novelties of this research. Eventually, considering the climate data and energy consumption of a region in Rafsanjan, Iran, capabilities of the method in extracting a robust IHS for sources and ESSs are validated depending on optimal economic and environmental conditions. The HMA succeeds to reach an optimal solution with an SD of 0.92% in the final response and this underlines its capability in achieving approximate conditions of unique responsiveness. The proposed scheme with proper planning and operation of sources and storages in the form of a HIS finds optimal values for economic and environmental conditions so that the difference between pollution and cost values from its minimum values at the compromise point is roughly 22%. For 17% uncertainty parameters prediction errors, the scheme obtains a robust structure for the IHS.

关键词:

Stationary and mobile storage systems Islanded hybrid system Hybrid metaheuristic algorithm Pareto optimization Environmental emission Robust optimal design

作者机构:

  • [ 1 ] [Yang, Zaoli]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Ghadamyari, Mojtaba]Shahid Beheshti Univ, Dept Elect Engn Fac, Tehran, Iran
  • [ 3 ] [Khorramder, Hossein]Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz, Iran
  • [ 4 ] [Alizadeh, Seyed Mehdi Seyed]Australian Coll Kuwait, Petr Engn Dept, West Mishref, Kuwait
  • [ 5 ] [Pirouzi, Sasan]Islamic Azad Univ, Semirom Branch, Power Syst Grp, Semirom, Iran
  • [ 6 ] [Milani, Muhammed]Bandirma Onyedi Eylul Univ, Fac Engn & Nat Sci, Dept Comp Engn, Balikesir, Turkey
  • [ 7 ] [Banihashemi, Farzad]Univ Wisconsin, Coll Engn & Appl Sci, Milwaukee, WI 53201 USA
  • [ 8 ] [Ghadimi, Noradin]Islamic Azad Univ, Ardabil Branch, Power Sytem Grp, Ardebil, Iran

通讯作者信息:

  • [Yang, Zaoli]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China;;[Pirouzi, Sasan]Islamic Azad Univ, Semirom Branch, Power Syst Grp, Semirom, Iran

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来源 :

RENEWABLE & SUSTAINABLE ENERGY REVIEWS

ISSN: 1364-0321

年份: 2021

卷: 148

1 5 . 9 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:1

被引次数:

WoS核心集被引频次: 218

SCOPUS被引频次: 227

ESI高被引论文在榜: 18 展开所有

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