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新疆大学可再生能源发电与并网技术教育部工程研究中心
Published:2021
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[1]李笑竹,王维庆.针对新一代能源系统运行调度的优化算法研究[J].新疆大学学报(自然科学版)(中英文),2021,38(06):739-752.
[1]李笑竹,王维庆.针对新一代能源系统运行调度的优化算法研究[J].新疆大学学报(自然科学版)(中英文),2021,38(06):739-752. DOI: 10.13568/j.cnki.651094.651316.2020.11.04.0002.
DOI:10.13568/j.cnki.651094.651316.2020.11.04.0002.
新一代能源互联网系统复杂调度模型的优化求解技术是制约其发展的关键技术之一.我们针对复杂调度模型具有多目标、非线性、非凸、强耦合、强约束、含有大规模决策变量以及具有不规则Pareto前沿面形状等特点
提出求解大规模具有不规则前沿面的多目标优化问题的算法.该算法利用分治思想处理不同类型的决策变量与约束条件
旨在大幅度缩小大规模多目标优化问题的搜索空间
保证解的可行性、提高算法有效性.最后利用3个常用测试集中的26个测试问题验证所提算法的竞争力
并通过10机系统的动态环境经济调度问题、IEEE33节点配电网与热电联产系统耦合集成的大规模可再生能源多能源系统优化调度问题验证了所提算法的有效性与可行性.
The optimization technology of the complex dispatching model for the new generation Energy Internet system is one of the key technologies restricting its development. In view of the characteristics of complex dispatching model
such as multi-objective
nonlinear
nonconvex
strong coupling
strong constraint
large-scale decision variables and irregular Pareto front shape
we propose an algorithm for solving large-scale multi-objective optimization problems with irregular front. The algorithm uses the idea of divide and conquer to deal with different types of decision variables and constraints
aiming to reduce the search space of large-scale multi-objective optimization problems
ensure the feasibility of solutions and improve the effectiveness of the algorithm. Finally
the competitiveness of proposed algorithm is verified by 26 test problems in 3 common sets
and the feasibility is verified by the optimal dispatching problem of multi energy system with large-scale renewable energy integrated by the coupling of IEEE33 node distribution network and CCHP system.
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