可再生能源系统的不确定性优化模型及求解
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引用本文:阳彩霞.可再生能源系统的不确定性优化模型及求解[J].经济数学,2018,(4):85-90
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作者单位
阳彩霞 (华南理工大学广州学院 计算机工程学院广东 广州 510800) 
中文摘要:结合新提出的满意度方法和混合整数规划方法,给出了多态不确定性环境下可再生能源规划模型.该模型综合描述了多地区、多时期、多品种、多部门之间的可再生能源管理系统的复杂性、系统性、动态性和不确定性.最后的实例求解结果说明该模型能很好地反映能源安全性、系统可靠性与系统成本之间的关系,并能给出不同系统违反水平下的能源配置方式及增容计划,为决策者提供决策参考.
中文关键词:能源规划  满意度方法  混合整数线性规划  最好最优解  最差最优解
 
Uncertainty Optimization Model and Its Solution for Renewable Energy System
Abstract:According to the new satisfaction degree method and the mixed integer programming method, a renewable energy planning model under polymorphic uncertainty was given here. This model describes the complexity, systematic, dynamic and uncertainty of renewable energy management system with multi-city, multi-period, multi-energy and multi-sector. The example results show that the model can well reflect the relationship between energy security, system reliability and system cost. It can also give energy configuration way under different level of system violation and expansion plan, which can provide decision-making reference.
keywords:energy planning  satisfaction degree method  mixed integer linear programming  the best optimal solution  the worst optimal solution
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