To overcome the limitations of the traditional surrogate worth trade-off （SWT） method and solve the multiple criteria decision making problem more efficiently and interactively, a new method labeled dual worth trade...To overcome the limitations of the traditional surrogate worth trade-off （SWT） method and solve the multiple criteria decision making problem more efficiently and interactively, a new method labeled dual worth tradeoff （DWT） method is proposed. The DWT method dynamically uses the duality theory related to the multiple criteria decision making problem and analytic hierarchy process technique to obtain the decision maker＇s solution preference information and finally find the satisfactory compromise solution of the decision maker. Through the interactive process between the analyst and the decision maker, trade-off information is solicited and treated properly, the representative subset of efficient solutions and the satisfactory solution to the problem are found. The implementation procedure for the DWT method is presented. The effectiveness and applicability of the DWT method are shown by a practical case study in the field of production scheduling.展开更多
In view of two-level multiobjective decision making problem, and employing satisfactoriness of objective function and trade-off rate between objective functions, an interactive two-level multiobjective decision making...In view of two-level multiobjective decision making problem, and employing satisfactoriness of objective function and trade-off rate between objective functions, an interactive two-level multiobjective decision making method is proposed in this paper. By using the method, the obtained solution can be acceptable to both the follower and the requirement of the leader. It's an efficient method to solve two-level multiobjective decision making problems.展开更多
随着我国电力交易机制的不断完善,构建多源互补系统形成新能源基地,共同参与电能量现货市场是未来发展的必然趋势。然而,在新能源基地参与现货市场过程中,面临新能源出力与现货电价波动的双重不确定性,导致其收益稳定性下降。为此,首先...随着我国电力交易机制的不断完善,构建多源互补系统形成新能源基地,共同参与电能量现货市场是未来发展的必然趋势。然而,在新能源基地参与现货市场过程中,面临新能源出力与现货电价波动的双重不确定性,导致其收益稳定性下降。为此,首先围绕包含“风-光-火-蓄”的新能源基地参与现货市场的运营模式进行分析;其次,构建确定性场景下多源互补系统运行优化模型,并分别采用置信间隙决策理论(confidence gap decision theory,CGDT)与条件风险价值(condition value at risk,CVaR)处理新能源出力、现货电价的不确定性,进而将确定性模型转化为CGDT-CVaR模型;最后,通过算例对模型的鲁棒性与有效性进行验证,并针对置信水平、显著性水平开展敏感性分析。结果表明,CGDT-CVaR模型能够有效处理不确定性因素的消极影响,提高新能源基地运行计划的鲁棒性与经济性,通过调整显著度水平与置信水平可以调节模型的风险倾向,从而为决策者提供参考。展开更多
为有效提高各发电主体的收益并促进发电侧碳减排,提出基于合作博弈的可再生能源-化石能源机组发电联盟参与电-碳-绿证交易的双层优化模型。首先,分析可再生能源发电机组和化石能源发电机组参与电-碳-绿证市场的方式,基于信息间隙决策理...为有效提高各发电主体的收益并促进发电侧碳减排,提出基于合作博弈的可再生能源-化石能源机组发电联盟参与电-碳-绿证交易的双层优化模型。首先,分析可再生能源发电机组和化石能源发电机组参与电-碳-绿证市场的方式,基于信息间隙决策理论IGDT(information gap decision theory)构建考虑现货价格不确定性的发电联盟鲁棒优化模型,作为双层优化的上层模型。接着,在下层建立电力现货市场出清模型、阶梯式碳交易模型和基于古诺模型的绿证市场交易模型,基于KKT条件将下层模型转化为约束条件并纳入上层模型。然后,构建基于Shapley值法和改进核仁法的发电联盟收益分配模型。最后,以IEEE 14节点系统为例进行算例分析,验证了所提模型的有效性。展开更多
基金This project was supported by the National Natural Science Foundation of China(79870030)
文摘To overcome the limitations of the traditional surrogate worth trade-off （SWT） method and solve the multiple criteria decision making problem more efficiently and interactively, a new method labeled dual worth tradeoff （DWT） method is proposed. The DWT method dynamically uses the duality theory related to the multiple criteria decision making problem and analytic hierarchy process technique to obtain the decision maker＇s solution preference information and finally find the satisfactory compromise solution of the decision maker. Through the interactive process between the analyst and the decision maker, trade-off information is solicited and treated properly, the representative subset of efficient solutions and the satisfactory solution to the problem are found. The implementation procedure for the DWT method is presented. The effectiveness and applicability of the DWT method are shown by a practical case study in the field of production scheduling.
文摘In view of two-level multiobjective decision making problem, and employing satisfactoriness of objective function and trade-off rate between objective functions, an interactive two-level multiobjective decision making method is proposed in this paper. By using the method, the obtained solution can be acceptable to both the follower and the requirement of the leader. It's an efficient method to solve two-level multiobjective decision making problems.
文摘随着我国电力交易机制的不断完善,构建多源互补系统形成新能源基地,共同参与电能量现货市场是未来发展的必然趋势。然而,在新能源基地参与现货市场过程中,面临新能源出力与现货电价波动的双重不确定性,导致其收益稳定性下降。为此,首先围绕包含“风-光-火-蓄”的新能源基地参与现货市场的运营模式进行分析;其次,构建确定性场景下多源互补系统运行优化模型,并分别采用置信间隙决策理论(confidence gap decision theory,CGDT)与条件风险价值(condition value at risk,CVaR)处理新能源出力、现货电价的不确定性,进而将确定性模型转化为CGDT-CVaR模型;最后,通过算例对模型的鲁棒性与有效性进行验证,并针对置信水平、显著性水平开展敏感性分析。结果表明,CGDT-CVaR模型能够有效处理不确定性因素的消极影响,提高新能源基地运行计划的鲁棒性与经济性,通过调整显著度水平与置信水平可以调节模型的风险倾向,从而为决策者提供参考。
文摘为有效提高各发电主体的收益并促进发电侧碳减排,提出基于合作博弈的可再生能源-化石能源机组发电联盟参与电-碳-绿证交易的双层优化模型。首先,分析可再生能源发电机组和化石能源发电机组参与电-碳-绿证市场的方式,基于信息间隙决策理论IGDT(information gap decision theory)构建考虑现货价格不确定性的发电联盟鲁棒优化模型,作为双层优化的上层模型。接着,在下层建立电力现货市场出清模型、阶梯式碳交易模型和基于古诺模型的绿证市场交易模型,基于KKT条件将下层模型转化为约束条件并纳入上层模型。然后,构建基于Shapley值法和改进核仁法的发电联盟收益分配模型。最后,以IEEE 14节点系统为例进行算例分析,验证了所提模型的有效性。
