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Effect of device models on the multiobjective optimal operation of CCHP microgrids considering shiftable loads

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  • Cui, Qiong
  • Ma, Peipei
  • Huang, Lei
  • Shu, Jie
  • Luv, Jie
  • Lu, Lin

Abstract

Based on the importance of device modelling for the optimal operation of combined cooling, heating and power (CCHP) microgrids and load shifting for the demand-side response, the partial load ratio (PLR) and constant efficiency (CE) models of the main devices on the system operation are studied. Nonlinear PLR models of gas turbines, boilers and chillers are constructed. A piecewise least squares linearization method is proposed. Shiftable load models of cooling, heating and electricity are established, and load shifting is carried out. System optimization models with multiple optimization objectives are constructed and solved by a CPLEX solver. To compare the effects of different equipment models on the optimal operation under load shifting, different targets and heat-to-electricity ratios are given. The results show that compared with the segment broken-line linearization and least squares linearization method, the proposed method reduces the standard error of the performance curve by at least 20.97% and 75.49%, respectively. With different optimization objectives, the positive advantage of load shifting is related to the heat-to-electricity ratio. Using different heat-to-electricity ratios, the sensitivity of the optimization results of the PLR models to the heat-to-electricity ratio is higher than that of the CE models. The optimal operational effect of load shifting on different objectives of the PLR model is significantly better than that of the CE model. The model selection of the gas turbine, heating recovery steam generator and electric chiller with either the PLR or CE model demonstrates a considerable impact on the system operational results.

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  • Cui, Qiong & Ma, Peipei & Huang, Lei & Shu, Jie & Luv, Jie & Lu, Lin, 2020. "Effect of device models on the multiobjective optimal operation of CCHP microgrids considering shiftable loads," Applied Energy, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:appene:v:275:y:2020:i:c:s0306261920308813
    DOI: 10.1016/j.apenergy.2020.115369
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    1. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    2. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2017. "Optimal design, operation and analytical criteria for determining optimal operating modes of a CCHP with fired HRSG, boiler, electric chiller and absorption chiller," Energy, Elsevier, vol. 139(C), pages 1052-1065.
    3. Zhang, Jiyuan & Tang, Hailong & Chen, Min, 2019. "Linear substitute model-based uncertainty analysis of complicated non-linear energy system performance (case study of an adaptive cycle engine)," Applied Energy, Elsevier, vol. 249(C), pages 87-108.
    4. Mehra, Varun & Amatya, Reja & Ram, Rajeev J., 2018. "Estimating the value of demand-side management in low-cost, solar micro-grids," Energy, Elsevier, vol. 163(C), pages 74-87.
    5. Yang, Hongming & Xiong, Tonglin & Qiu, Jing & Qiu, Duo & Dong, Zhao Yang, 2016. "Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response," Applied Energy, Elsevier, vol. 167(C), pages 353-365.
    6. Ghasemi, A. & Shayeghi, H. & Moradzadeh, M. & Nooshyar, M., 2016. "A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management," Applied Energy, Elsevier, vol. 177(C), pages 40-59.
    7. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    8. Gu, Wei & Lu, Shuai & Wu, Zhi & Zhang, Xuesong & Zhou, Jinhui & Zhao, Bo & Wang, Jun, 2017. "Residential CCHP microgrid with load aggregator: Operation mode, pricing strategy, and optimal dispatch," Applied Energy, Elsevier, vol. 205(C), pages 173-186.
    9. Alahäivälä, Antti & Heß, Tobias & Cao, Sunliang & Lehtonen, Matti, 2015. "Analyzing the optimal coordination of a residential micro-CHP system with a power sink," Applied Energy, Elsevier, vol. 149(C), pages 326-337.
    10. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    11. Ju, Liwei & Tan, Zhongfu & Li, Huanhuan & Tan, Qingkun & Yu, Xiaobao & Song, Xiaohua, 2016. "Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China," Energy, Elsevier, vol. 111(C), pages 322-340.
    12. Li, Zhengmao & Xu, Yan, 2018. "Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes," Applied Energy, Elsevier, vol. 210(C), pages 974-986.
    13. Hu, Mengqi & Cho, Heejin, 2014. "A probability constrained multi-objective optimization model for CCHP system operation decision support," Applied Energy, Elsevier, vol. 116(C), pages 230-242.
    14. Pan, Guangsheng & Gu, Wei & Wu, Zhi & Lu, Yuping & Lu, Shuai, 2019. "Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices," Applied Energy, Elsevier, vol. 239(C), pages 280-295.
    15. Milan, Christian & Stadler, Michael & Cardoso, Gonçalo & Mashayekh, Salman, 2015. "Modeling of non-linear CHP efficiency curves in distributed energy systems," Applied Energy, Elsevier, vol. 148(C), pages 334-347.
    16. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
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    7. Ye Zhao & Zhenhai Dou & Zexu Yu & Ruishuo Xie & Mengmeng Qiao & Yuanyuan Wang & Lianxin Liu, 2022. "Study on the Optimal Dispatching Strategy of a Combined Cooling, Heating and Electric Power System Based on Demand Response," Energies, MDPI, vol. 15(10), pages 1-18, May.
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