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Research on Large-Scale Multi-Objective optimization Algorithm with Irregular Frontier for Operation Dispatching of New Generation Energy System Integration

机译：具有新一代能源系统集成运行调度的大规模多目标优化算法研究

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摘要

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 largescale 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.
机译：新能源发电上网系统复杂的调度模型的优化技术是制约其发展的关键技术之一。鉴于复杂调度模型的特性，如多目标，非线性，非凸，强耦合，强约束，大型决策变量和不规则帕累托正面形状，提出了一种算法求解与大规模多目标优化问题不规则前面。该算法采用分而治之的思想来处理不同类型的决策变量和约束的，旨在减少大型多目标优化问题的搜索空间，确保解决方案的可行性，提高了算法的有效性。最后，提出的算法的竞争力是通过26个测试问题在3个公共集验证，并且可行性由最佳调度多能量系统的问题通过IEEE33节点分配网络和CCHP系统的耦合集成的大规模的可再生能源验证。

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