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Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

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  • Patwal, Rituraj Singh
  • Narang, Nitin

Abstract

The aim of this research work is to resolve the economic, emission and multi-objective scheduling problem (MOSP) of the integrated energy system (IES). The integrated energy system incorporates pumped storage hydrothermal system (PSHTS) with wind, solar and battery units. The pumped storage unit can work in generating or pumping mode and its operation is controlled by binary decision variables, hence, the integrated energy system consist mixed mode decision variables. In order to search optimum generation schedule, a modified crisscross PSO (MCPSO) and improved binary PSO technique has been undertaken. The crisscross search in the CPSO technique exhibits horizontal and vertical crossover operators to explore the search space in every dimension and mitigate the stagnancy problem. In MCPSO technique, the search has been enhanced in way of pattern search in every search direction. In this work, the surrogate worth trade-off (SWT) function perform as an interface between the decision maker and Pareto-front to select the best-compromised solution of the MOSP and reduces the computational efforts. The performance of the MCPSO-SWT has been verified on four different test systems. The test results achieved from the economic, emission and MOSP have been compared with results obtain from the well-established techniques and found satisfactory.

Suggested Citation

  • Patwal, Rituraj Singh & Narang, Nitin, 2020. "Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach," Renewable Energy, Elsevier, vol. 156(C), pages 864-882.
    • Handle: RePEc:eee:renene:v:156:y:2020:i:c:p:864-882
    DOI: 10.1016/j.renene.2020.04.058
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    as
    1. Basu, M., 2020. "Optimal generation scheduling of hydrothermal system with demand side management considering uncertainty and outage of renewable energy sources," Renewable Energy, Elsevier, vol. 146(C), pages 530-542.
    2. Singh, Nirbhow Jap & Dhillon, J.S. & Kothari, D.P., 2017. "Surrogate worth trade-off method for multi-objective thermal power load dispatch," Energy, Elsevier, vol. 138(C), pages 1112-1123.
    3. Di Somma, M. & Graditi, G. & Heydarian-Forushani, E. & Shafie-khah, M. & Siano, P., 2018. "Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects," Renewable Energy, Elsevier, vol. 116(PA), pages 272-287.
    4. Javed, Muhammad Shahzad & Zhong, Dan & Ma, Tao & Song, Aotian & Ahmed, Salman, 2020. "Hybrid pumped hydro and battery storage for renewable energy based power supply system," Applied Energy, Elsevier, vol. 257(C).
    5. Reddy, S. Surender, 2017. "Optimal scheduling of thermal-wind-solar power system with storage," Renewable Energy, Elsevier, vol. 101(C), pages 1357-1368.
    6. Zhang, Yachao & Le, Jian & Liao, Xiaobing & Zheng, Feng & Liu, Kaipei & An, Xueli, 2018. "Multi-objective hydro-thermal-wind coordination scheduling integrated with large-scale electric vehicles using IMOPSO," Renewable Energy, Elsevier, vol. 128(PA), pages 91-107.
    7. Zhang, Huifeng & Yue, Dong & Xie, Xiangpeng & Dou, Chunxia & Sun, Feng, 2017. "Gradient decent based multi-objective cultural differential evolution for short-term hydrothermal optimal scheduling of economic emission with integrating wind power and photovoltaic power," Energy, Elsevier, vol. 122(C), pages 748-766.
    8. Meng, Anbo & Hu, Hanwu & Yin, Hao & Peng, Xiangang & Guo, Zhuangzhi, 2015. "Crisscross optimization algorithm for large-scale dynamic economic dispatch problem with valve-point effects," Energy, Elsevier, vol. 93(P2), pages 2175-2190.
    9. Secui, Dinu Calin, 2015. "The chaotic global best artificial bee colony algorithm for the multi-area economic/emission dispatch," Energy, Elsevier, vol. 93(P2), pages 2518-2545.
    10. Wang, Wenxiao & Li, Chaoshun & Liao, Xiang & Qin, Hui, 2017. "Study on unit commitment problem considering pumped storage and renewable energy via a novel binary artificial sheep algorithm," Applied Energy, Elsevier, vol. 187(C), pages 612-626.
    11. Patwal, Rituraj Singh & Narang, Nitin & Garg, Harish, 2018. "A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units," Energy, Elsevier, vol. 142(C), pages 822-837.
    12. Biswas, Partha P. & Suganthan, P.N. & Qu, B.Y. & Amaratunga, Gehan A.J., 2018. "Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power," Energy, Elsevier, vol. 150(C), pages 1039-1057.
    13. Wang, Xuebin & Chang, Jianxia & Meng, Xuejiao & Wang, Yimin, 2018. "Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems," Applied Energy, Elsevier, vol. 229(C), pages 945-962.
    Full references (including those not matched with items on IDEAS)

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