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Power system planning based on CSP-CHP system to integrate variable renewable energy

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  • Li, Xin
  • Wu, Xian
  • Gui, De
  • Hua, Yawen
  • Guo, Panfeng

Abstract

The renewable energy penetration level of power grid is forecasted by National Renewable Energy Laboratory (NREL) to reach 60% in 2050, which will bring a great challenge to accommodate the variability and uncertainty of variable renewable energy (VRE). In this paper, a hybrid CSP-CHP system is proposed to provide additional operational flexibility for power system to integrate renewable energy. First, the energy flow framework and the operational flexibility of the hybrid CSP-CHP system are analyzed. Second, a stochastic two-stage unit expansion and generation planning model based on proposed hybrid system is adopted to optimize the power system planning by considering generation technologies and policy orientation. Finally, a case study on a modified 40-bus power system is performed to research the value of hybrid CSP-CHP in 2020–2050 power system planning. Results show that the hybrid CSP-CHP plant will make up an important portion of renewable generation, and the high value of the proposed system is reflected in operational flexibility and application prospect.

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  • Li, Xin & Wu, Xian & Gui, De & Hua, Yawen & Guo, Panfeng, 2021. "Power system planning based on CSP-CHP system to integrate variable renewable energy," Energy, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:energy:v:232:y:2021:i:c:s0360544221013128
    DOI: 10.1016/j.energy.2021.121064
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    1. Pearre, Nathaniel & Swan, Lukas, 2020. "Reimagining renewable electricity grid management with dispatchable generation to stabilize energy storage," Energy, Elsevier, vol. 203(C).
    2. Biswas, D.B. & Bose, S. & Dalvi, V.H. & Deshmukh, S.P. & Shenoy, N.V. & Panse, S.V. & Joshi, J.B., 2020. "A techno-economic comparison between piston steam engines as dispatchable power generation systems for renewable energy with concentrated solar harvesting and thermal storage against solar photovoltai," Energy, Elsevier, vol. 213(C).
    3. Vögelin, Philipp & Koch, Ben & Georges, Gil & Boulouchos, Konstatinos, 2017. "Heuristic approach for the economic optimisation of combined heat and power (CHP) plants: Operating strategy, heat storage and power," Energy, Elsevier, vol. 121(C), pages 66-77.
    4. Pantaleo, Antonio M. & Camporeale, Sergio M. & Miliozzi, Adio & Russo, Valeria & Shah, Nilay & Markides, Christos N., 2017. "Novel hybrid CSP-biomass CHP for flexible generation: Thermo-economic analysis and profitability assessment," Applied Energy, Elsevier, vol. 204(C), pages 994-1006.
    5. Yu, Qiang & Li, Xiaolei & Wang, Zhifeng & Zhang, Qiangqiang, 2020. "Modeling and dynamic simulation of thermal energy storage system for concentrating solar power plant," Energy, Elsevier, vol. 198(C).
    6. Bianchi, M. & De Pascale, A. & Melino, F., 2013. "Performance analysis of an integrated CHP system with thermal and Electric Energy Storage for residential application," Applied Energy, Elsevier, vol. 112(C), pages 928-938.
    7. Starke, Allan R. & Cardemil, José M. & Escobar, Rodrigo & Colle, Sergio, 2018. "Multi-objective optimization of hybrid CSP+PV system using genetic algorithm," Energy, Elsevier, vol. 147(C), pages 490-503.
    8. Büyüközkan, Gülçin & Karabulut, Yağmur & Mukul, Esin, 2018. "A novel renewable energy selection model for United Nations' sustainable development goals," Energy, Elsevier, vol. 165(PA), pages 290-302.
    9. Liu, Ming & Wang, Shan & Yan, Junjie, 2021. "Operation scheduling of a coal-fired CHP station integrated with power-to-heat devices with detail CHP unit models by particle swarm optimization algorithm," Energy, Elsevier, vol. 214(C).
    10. Liu, Ming & Wang, Shan & Zhao, Yongliang & Tang, Haiyu & Yan, Junjie, 2019. "Heat–power decoupling technologies for coal-fired CHP plants: Operation flexibility and thermodynamic performance," Energy, Elsevier, vol. 188(C).
    11. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)," Energy, Elsevier, vol. 55(C), pages 1044-1054.
    Full references (including those not matched with items on IDEAS)

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