现代电子技术2024，Vol.47Issue(14)：122-128,7.DOI:10.16652/j.issn.1004-373x.2024.14.019
基于NNC法的含电解铝系统多目标优化
Multi-objective optimization of electrolytic aluminum system based on NNC method
摘要
Abstract
With a high proportion of renewable energy connected to the grid,the power system faces challenges such as significant peak load pressure and difficulties in accommodating wind power.Therefore,a multi-objective optimization method for electrolysis aluminum system based on the NNC(normalized normal constraint)method is proposed based on the characterics that electrolysis aluminum has a large response capacity and fast adjustment speed.The demand-side electrolysis aluminum load with regulatory characteristics is integrated with thermal power plants to establish a multi-objective optimization model for power systems with electrolysis aluminum.The objective functions are set to minimize the total operating cost and minimize the discarded wind power,and the energy storage system is jointly optimized for the overall system scheduling.The NNC method is employed to handle the multi-objective model and obtain a uniformly distributed Pareto front solution.The technique for order preference by similarity to ideal solution(TOPSIS)is selected to obtain the globally optimal solution within the Pareto front.The case analysis results show that this method can effectively improve renewable energy integration,and has good economic performance.关键词
规格化平面约束法/电解铝负荷/需求响应/多目标优化/新能源消纳/逼近理想解法/储能系统Key words
NNC/electrolytic aluminum load/demand response/multi-objective optimization/new energy consumption/TOPSIS/energy storage system分类
信息技术与安全科学引用本文复制引用
刘昕明,王海云..基于NNC法的含电解铝系统多目标优化[J].现代电子技术,2024,47(14):122-128,7.基金项目
新疆维吾尔自治区重点研发计划基金项目(2022B01020-3) （2022B01020-3）
