许龙, 王庆刚, 杨谋存, 朱跃钊. 计及资源禀赋的全可再生能源多能互补系统评价指标体系[J]. 电网技术, 2022, 46(10): 4012-4019. DOI: 10.13335/j.1000-3673.pst.2021.2087
引用本文: 许龙, 王庆刚, 杨谋存, 朱跃钊. 计及资源禀赋的全可再生能源多能互补系统评价指标体系[J]. 电网技术, 2022, 46(10): 4012-4019. DOI: 10.13335/j.1000-3673.pst.2021.2087
XU Long, WANG Qinggang, YANG Moucun, ZHU Yuezhao. Evaluation Index System of Fully Renewable Energy Multi-energy Complementary System Considering Renewable Resource Endowment[J]. Power System Technology, 2022, 46(10): 4012-4019. DOI: 10.13335/j.1000-3673.pst.2021.2087
Citation: XU Long, WANG Qinggang, YANG Moucun, ZHU Yuezhao. Evaluation Index System of Fully Renewable Energy Multi-energy Complementary System Considering Renewable Resource Endowment[J]. Power System Technology, 2022, 46(10): 4012-4019. DOI: 10.13335/j.1000-3673.pst.2021.2087

计及资源禀赋的全可再生能源多能互补系统评价指标体系

Evaluation Index System of Fully Renewable Energy Multi-energy Complementary System Considering Renewable Resource Endowment

  • 摘要: 为合理评价全可再生能源多能互补系统,提出了计及可再生能源资源禀赋的综合评价指标体系。首先,设计了仅用可再生能源进行供能的全可再生能源多能互补系统,包括系统结构、设备配置和运行策略;其次,根据指标构建原则建立了包含资源禀赋(含资源储量和特性)等在内的综合评价指标体系;再次,针对引入的资源禀赋指标,采用层次分析法(analytic hierarchy process,AHP)-熵权-优劣解距离法(technique for order preference by similarity to ideal solution,TOPSIS)组合法对系统进行综合评价。最后,根据地区气候差异选取5个代表性城市进行算例分析。分析结果表明,可再生能源资源禀赋与系统评价结果存在正相关性,资源禀赋指标的加入使得评价结果更加合理可靠,验证了所提评价体系的有效性;而所用评价方法不仅能有效地处理含资源禀赋在内的各项指标,还能使评价结果更具区分度,可为可再生能源多能互补系统优化配置等提供决策依据。

     

    Abstract: In order to reasonably evaluate the fully renewable energy multi-energy complementary system, a comprehensive evaluation index system considering renewable energy resource endowment is proposed. Firstly, a fully renewable energy multi-energy complementary system that uses 100% renewable energy as an energy input is designed, including the system structure, the equipment configuration and the operation strategy. Secondly, according to the principle of index system construction, a comprehensive evaluation index system including the resource endowment (bearing resource reserves and characteristics) is established. Thirdly, aiming at the resource endowment index, the AHP-entropy weight-TOPSIS method is used to comprehensively evaluate the system. Finally, five representative cities are selected as the analytic cases according to the regional climate differences. The analysis results show that there is a positive correlation between the renewable energy resource endowment and the system evaluation results. The addition of resource endowment index makes the evaluation results more reasonable and reliable, which verifies the effectiveness of the proposed evaluation system. The evaluation method can not only effectively deal with the indicators like the resource endowments, but also make the evaluation results more differentiated, which can provide decision-making basis for the optimal allocation of renewable energy multi-energy complementary systems.

     

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