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不确定性环境下可再生能源系统新优化模型
引用本文:阳彩霞,万中. 不确定性环境下可再生能源系统新优化模型[J]. 广西科学, 2020, 27(2): 211-215
作者姓名:阳彩霞  万中
作者单位:华南理工大学广州学院, 计算机工程学院, 广东广州 510800;中南大学数学与统计学院, 湖南长沙 410083
基金项目:国家自然科学基金项目(71071162)资助。
摘    要:为发挥可再生能源在能源-经济-环境可持续发展中的积极效应,本文研究了多态不确定性环境下跨地区、跨品种、跨部门的可再生能源动态规划问题。利用满意度方法处理太阳能和风能可利用量等随机变量,利用可能度方法处理能源供应成本、需求量等区间数,再结合0-1整数规划,得到使系统成本最小的新优化模型。最后的算例说明使用的综合方法是有效合理的。

关 键 词:能源系统  满意度方法  可能度方法  0-1整数规划  不确定性

A New Optimization Model of Renewable Energy Systems under Uncertainty
YANG Caixi,WAN Zhong. A New Optimization Model of Renewable Energy Systems under Uncertainty[J]. Guangxi Sciences, 2020, 27(2): 211-215
Authors:YANG Caixi  WAN Zhong
Affiliation:School of Computer Engineering, Guangzhou College of South China University of Technology, Guangzhou, Guangdong, 510800, China; School of Mathematics and Statistics, Central South University, Changsha, Hunan, 410083, China
Abstract:In order to exert the positive effects of renewable energy in the sustainable development of energy,economy and environment,the dynamic programming problem of renewable energy across regions,varieties and sectors under polymorphic uncertain environment is studied in this paper.The proposed satisfaction method is used to deal with the random variables such as the availability of solar energy and wind energy,and the probability method is used to deal with the interval numbers such as energy supply cost and demand,and then combined with 0-1 integer programming,an optimization model that minimizes the system cost is obtained.The final example shows that the comprehensive method used in this paper is effective and reasonable.
Keywords:energy systems  satisfaction degree method  possibility degree method  0-1 integer programming  uncertainty
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