Optimal participation of ADN in energy and reserve markets considering TSO-DSO interface and DERs uncertainties

被引:31
作者
Chen, Houhe [1 ]
Wang, Di [1 ]
Zhang, Rufeng [1 ]
Jiang, Tao [1 ]
Li, Xue [1 ]
机构
[1] Northeast Elect Power Univ, Dept Elect Engn, Jilin 132012, Peoples R China
基金
中国国家自然科学基金;
关键词
Stochastic bi-level optimization model; Market clearing; TSO-DSO interface; Energy and reserve markets; Mixed-integer second order cone programming  (MISOCP); STOCHASTIC OPTIMAL ENERGY; DISTRIBUTION NETWORKS; DISTRIBUTION COMPANY; DISTRIBUTED GENERATION; OPERATION; POWER; COORDINATION; EQUILIBRIUM; MANAGEMENT; SYSTEMS;
D O I
10.1016/j.apenergy.2021.118319
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The flexibility of distribution networks continues to thrive due to the increasing installment of distributed energy resources (DERs). In addition to meeting the load demand in active distribution networks (ADNs), DERs can also provide energy and reserve for the upper-layer grid (i.e., sub-transmission network) at their connection node by participating in the energy and reserve markets. This paper proposes a novel optimal participation model of ADN in energy and reserve markets that takes into account the uncertainties of DERs and the interface of transmission system operator (TSO) and distribution system operator (DSO). The problem of DSO's strategic behavior is formulated as a stochastic bi-level optimization model. The upper-level model indicates the market clearing of ADNs managed by the DSO and the lower-level model represents the energy and reserve market clearing of the upper-layer grid managed by the TSO. The nonlinear bi-level model is converted into a mathematical program with equilibrium constraint (MPEC) model, and then the mixed-integer second order cone programming (MISOCP) model based on Karush-Kuhn-Tucker conditions and strong duality theory. The effectiveness of the proposed model on improving the economy of ADN and the utilization rate of DERs is validated by numerical studies.
引用
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页数:14
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