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综合能源系统（IES）在能源互联网中是一种有前景的能源供应模式。在IES优化配置中，多能流耦合会导致前期规划中的一系列简化，进而影响系统成本，效率和环境性能。为了合理设计IES的结构和容量，本文提出一种考虑设备变工况特性和设备间时空协同效应的新型规划方法。通过将IES拆解为不同类型的能源设备，引入“能源枢纽节点”概念扩展能源枢纽模型。之后采用双层优化框架进行规划——上层用于设备选型和定容，下层基于典型日方法优化运行策略。以IES的全生命周期成本最小为目标，用结合多变异位自适应遗传算法和内点法的两阶段进化算法求解。最后通过案例分析验证方法的可行性。案例分析中，考虑和不考虑设备变工况特性的IES生命周期成本分别为426万和415万美元。而且由于非设计条件下设备效率降低，在设计阶段忽略变工况特性将导致后者增加11.57％的额外支出。“,”Integrated energy systems (IESs) represent a promising energy supply model within the energy internet. However, multi-energy flow coupling in the optimal configuration of IES results in a series of simplifications in the preliminary planning, affecting the cost, efficiency, and environmental performance of IES. A novel optimal planning method that considers the part-load characteristics and spatio-temporal synergistic effects of IES components is proposed to enable a rational design of the structure and size of IES. An extended energy hub model is introduced based on the “node of energy hub” concept by decomposing the IES into different types of energy equipment. Subsequently, a planning method is applied as a two-level optimization framework—the upper level is used to identify the type and size of the component, while the bottom level is used to optimize the operation strategy based on a typical day analysis method. The planning problem is solved using a two-stage evolutionary algorithm, combing the multiple-mutations adaptive genetic algorithm with an interior point optimization solver, to minimize the lifetime cost of the IES. Finally, the feasibility of the proposed planning method is demonstrated using a case study. The life cycle costs of the IES with and without consideration of the part-load characteristics of the components were $4.26 million and $4.15 million, respectively, in the case study. Moreover, ignoring the variation in component characteristics in the design stage resulted in an additional 11.57％ expenditure due to an energy efficiency reduction under the off-design conditions.