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机构地区:[1]长沙理工大学智能电网运行与控制湖南省重点实验室,湖南长沙410004 [2]湛江供电局,广东湛江524000 [3]云南电网有限责任公司大理供电局,云南大理671000
出 处:《电力科学与技术学报》2015年第1期14-21,共8页Journal of Electric Power Science And Technology
基 金:国家自然科学基金(51277015)
摘 要:在考虑碳捕集电厂煤耗成本和排放特征基础上,构建一种以煤耗成本、碳排放量和网损最小为目标,以系统静态安全和碳捕集水平为约束的多目标最优潮流模型;采用NSGA-II获取其Pareto前沿及解集,以各单目标优化结果确定各隶属函数边界,然后通过最大满意度法从解集中筛选决策最优折中解。通过定义碳捕集率和煤耗成本、碳排放量目标的灵敏度,可定量评估碳捕集电厂对目标贡献;结合碳流分布理论获取碳捕集电厂影响的系统节点碳势和支路碳流率分布特征。IEEE 6机30节点系统算例结果验证了所提模型的有效性及优越性,该文方法为考虑碳捕集电厂的系统多目标协调和系统相应电碳特征分析提供了理论支持。Considered the fuel cost and emission characteristics of carbon capture power plants (CCPP),this paper constructed a multi-objective optimal power flow model that took into ac-count the fuel cost,carbon emission and power losses,and took power system static security and carbon capture level as constraints.The Pareto front and the solution set was obtained by using NSGA-II.The function boundary was decided by the single objective optimization results,and then the best optimal compromise solution was selected with the maximum satisfaction method.Through the definition of carbon capture rate,coal consumption cost and the sensitivity of carbon emissions targets,the contribution of CCPP to the target was quantitatively evaluated.Combined with the carbon flow distribution theory,the distribution characteristics of each branch carbon emission flow rate and nodal carbon intensity influenced by the CCPP could be acquired.To verify the effectiveness and superiority of the proposed model,simulation of IEEE 30-bus 6-machine system was performed.The method in this paper provided theoretical support for Multi-objective coordination and electrical carbon characteristic analysis.
分 类 号:TM71[电气工程—电力系统及自动化]
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