融合TOPSIS-组合赋权法的燃煤机组综合评价

Comprehensive Evaluation of Coal-Fired Units Incorporating TOPSIS-Combinatorial Empowerment Method

目前,燃煤发电仍是我国电力供应的最主要来源,随着绿色电力的不断发展,要求燃煤发电机组具有较高的供电可靠性、运行灵活性、低廉的发电成本、排放较少的污染气体与温室气体等优良综合性能。针对燃煤机组综合性能评价问题,建立分层多标准指标评价体系,除了典型的经济指标外,还考虑了运行灵活性及可靠性指标、环保性指标以及温室气体排放指标。构建了融合优劣解距离法(TOPSIS)评价方法、层次分析法(AHP)与熵值法的主客观组合赋权法的燃煤机组综合评价模型,以6台600 MW机组进行案例研究。为评估该评价模型的鲁棒性,进行权重敏感性分析,结果表明,机组3综合性能最优,机组2综合性能最差。权重敏感性分析表明,大部分机组排序不受各指标影响,该评价模型鲁棒性良好,其中经济性指标具有最大灵敏度系数。

At present,coal-fired power generation is still the most important supply of electricity in China,with the continuous development of green power,coal-fred generator sets are required to have high power supply reliability and operation flexibility,low power generation costs,and less polluting gases and greenhouse gas emissions and other excellent comprehensive performance.Aiming at the comprehensive performance evaluation of coal-fired units,a hierarchical multi-standard index evaluation system is established,which considers the indicators of operational flexibility and reliability,environmental protection and greenhouse gas emissions in addition to typical economic indicators.A comprehensive evaluation model of coal-fired units based on TOPSIS evaluation method and subjective and objective combination weighting method of analytic hierarchy method(AHP)and entropy method was constructed,and a case study was carried out with six typical 600MW units.To evaluate the robustness of the evaluation model,a weight sensitivity analysis was performed.The case study results show that Unit 3 has the best comprehensive performance and Unit 2 has the worst comprehensive performance.The weight sensitivity analysis shows that most of the unit ranking is not affected by each index,and the evaluation model is robust,and the economic index has the largest sensitivity coefficient.