The traditional assessment of the fixed maximum load hosting capacity of new load in distribution networks is significantly affected by external uncertainties.The maximum new load hosting capacity interval consists of an optimistic upper bound and a pessimistic lower bound.For this reason,the paper proposes the interval assessment method.Firstly,the novel load is modelled.For the upper boundary,a deterministic model that takes into account various system safety operation constraints is used to portray the upper boundary.In order to describe the lower boundary,a bi-level robust model that integrates the uncertainties of EV charging load,aggregated temperature-controlled load power,and flexible resource scheduling is constructed,and the uncertainty budget adjustment constraints are introduced to achieve the integration of the three kinds of uncertainty factors.Then the bi-level model is reconstructed into a mixed-integer linear programming problem to solve based on the duality principle and the large M method.Finally,the effectiveness of the proposed method is verified by the simulation results of a 135-node distribution system.
关键词
新型负荷/双层鲁棒优化模型/不确定性/区间评估
Key words
new load/bi-level robust optimization model/uncertainty/interval assessment
维普
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