Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

被引:16
作者
Hamedi, Khashayar [1 ]
Sadeghi, Shahrbanoo [2 ]
Esfandi, Saeed [3 ]
Azimian, Mahdi [4 ]
Golmohamadi, Hessam [5 ]
机构
[1] Islamic Azad Univ, Ayatollah Amoli Branch, Dept Architectural Engn, Amol 4615143358, Iran
[2] Shahid Beheshti Univ Med Sci, Sch Publ Hlth & Safety, Dept Hlth Safety & Environm, Tehran 1983963113, Iran
[3] Univ Tehran, Sch Urban Planning, Coll Fine Arts, Tehran 1417466191, Iran
[4] Islamic Azad Univ, Kashan Branch, Dept Elect & Comp Engn, Kashan 8715998151, Iran
[5] Aalborg Univ, Dept Comp Sci, DK-9220 Aalborg, Denmark
关键词
compressed air energy storage; demand response; emission; multi-carrier microgrid; multi-objective programming; power-to-gas facility; DEMAND RESPONSE; OPTIMAL OPERATION; MULTIOBJECTIVE OPTIMIZATION; GENERATION UNITS; WIND GENERATION; HYBRID SYSTEM; ELECTRICITY; SOLAR; CAES; COORDINATION;
D O I
10.3390/su13094681
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Growing concerns about global greenhouse gas emissions have led power systems to utilize clean and highly efficient resources. In the meantime, renewable energy plays a vital role in energy prospects worldwide. However, the random nature of these resources has increased the demand for energy storage systems. On the other hand, due to the higher efficiency of multi-energy systems compared to single-energy systems, the development of such systems, which are based on different types of energy carriers, will be more attractive for the utilities. Thus, this paper represents a multi-objective assessment for the operation of a multi-carrier microgrid (MCMG) in the presence of high-efficiency technologies comprising compressed air energy storage (CAES) and power-to-gas (P2G) systems. The objective of the model is to minimize the operation cost and environmental pollution. CAES has a simple-cycle mode operation besides the charging and discharging modes to provide more flexibility in the system. Furthermore, the demand response program is employed in the model to mitigate the peaks. The proposed system participates in both electricity and gas markets to supply the energy requirements. The weighted sum approach and fuzzy-based decision-making are employed to compromise the optimum solutions for conflicting objective functions. The multi-objective model is examined on a sample system, and the results for different cases are discussed. The results show that coupling CAES and P2G systems mitigate the wind power curtailment and minimize the cost and pollution up to 14.2% and 9.6%, respectively.
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页数:18
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