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A multi-criteria framework for designing of stand-alone and grid-connected photovoltaic, wind, battery clean energy system considering reliability and economic assessment

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  • Lin, Xing-Min
  • Kireeva, Natalia
  • Timoshin, A.V.
  • Naderipour, Amirreza
  • Abdul-Malek, Zulkurnain
  • Kamyab, Hesam

Abstract

This paper multi-criteria designing framework of a hybrid photovoltaic (PV)/wind (WT) clean energy system with battery (BA) storage (HPV/WT/BA) considering cost and reliability assessment is presented to supply an annual load based on real irradiance and wind speed patterns. The designing goal is optimal sizing of the HPV/WT/BA system with the objective of minimizing the net present cost of clean energy generation (NPCEG) as well as the loss of load and CO2 emission cost with satisfying reliability constraint as energy not supplied probability (ENSP) considering stand-alone and grid-connected modes. Decision-making variables include an optimal number of PVs, WTs, batteries, inverter transferred power and PVs angle that is determined optimally using new improved moth flame optimization (IMFO) based on decreasing inertia weight strategy (DIWS) to overcome premature convergence. The design is implemented for various system combinations in stand-alone mode, including HPV/BA, HWT/BA and HPV/WT/BA systems. The simulation results showed that the HPV/WT/BA is the best combination with the lowest NPCEG and the best ENSP in load supply. The superiority of IMFO is proved compared to conventional MFO and PSO in designing of different combinations in view of cost and reliability in stand-alone mode. Moreover, the results of HPV/WT/BA optimal designing in a grid-connected mode based IMFO showed the less NPCEG and better ENSP compared to stand-alone mode due to network support with purchasing the network power and CO2 environmental waste emission cost minimization. The results showed that variation of network power, reliability constraint and also inverter efficiency has a considerable effect on designing cost and reliability. Moreover, the results illustrated the reduction of NPCEG and reliability enhancement in the condition of Covid-19.

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  • Lin, Xing-Min & Kireeva, Natalia & Timoshin, A.V. & Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Kamyab, Hesam, 2021. "A multi-criteria framework for designing of stand-alone and grid-connected photovoltaic, wind, battery clean energy system considering reliability and economic assessment," Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:energy:v:224:y:2021:i:c:s0360544221004035
    DOI: 10.1016/j.energy.2021.120154
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    4. Zhou, Jianguo & Xu, Zhongtian, 2023. "Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China," Renewable Energy, Elsevier, vol. 202(C), pages 1110-1137.
    5. Ullah, Zia & Elkadeem, M.R. & Kotb, Kotb M. & Taha, Ibrahim B.M. & Wang, Shaorong, 2021. "Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply," Renewable Energy, Elsevier, vol. 179(C), pages 885-910.
    6. Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2022. "Risk assessment of energy investment in the industrial framework – Uncertainty and Sensitivity Analysis for energy design and operation optimisation," Energy, Elsevier, vol. 239(PA).
    7. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    8. Yang, Yu & Liu, Zhiqiang & Xie, Nan & Wang, Jiaqiang & Cui, Yanping & Agbodjan, Yawovi Souley, 2023. "Multi-criteria optimization of multi-energy complementary systems considering reliability, economic and environmental effects," Energy, Elsevier, vol. 269(C).
    9. Hou, Guolian & Gong, Linjuan & Hu, Bo & Su, Huilin & Huang, Ting & Huang, Congzhi & Fan, Wei & Zhao, Yuanzhu, 2022. "Application of fast adaptive moth-flame optimization in flexible operation modeling for supercritical unit," Energy, Elsevier, vol. 239(PA).

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