Abstract With the increasing interconnection of active distribution network (ADN) with the integration of distributed generations (DGs) and district heating network (DHN), local electricity-heat integrated energy market provides the opportunity of coordinated energy pricing and trading with transmission system operator (TSO). The market clearing results of distribution system operator (DSO) on local electricity and heating markets will be affected wholesale market clearing. This paper proposes a bi-level optimization model for local electricity-heat integrated energy market clearing for integrated ADN and DHN, and distribution locational marginal pricing coordinated with the wholesale market clearing of transmission system. In the proposed model, the upper-level model indicates the local electricity-heat integrated market clearing by DSO and the lower-level model indicates the wholesale electricity market clearing by TSO. The locational marginal price (LMP) of the substation of the PCC point will affect the market clearing of ADN and DHN, and further affect the distribution locational marginal price (DLMP). Moreover, the market clearing actions of DSO would affect the wholesale electricity market clearing and LMP. The equilibrium of DSO and TSO is found by transforming the proposed bi-level model into a mathematical program with equilibrium constraint (MPEC) model. The MPEC formulation is further converted into mixed integer second order cone programming (MISOCP) for effectively solving. The effectiveness of the proposed model on reducing the DLMP and improving economy of ADN and DHN are demonstrated through case studies.

中文翻译：

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与输电系统协调的综合 ADN 和区域供热网的本地能源市场出清

摘要 随着有源配电网（ADN）与分布式发电（DG）和区域供热网（DHN）的集成日益互联，地方电热综合能源市场提供了与输电系统运营商进行协调能源定价和交易的机会。 TSO）。配电系统运营商（DSO）在当地电力和供热市场的市场出清结果将受到批发市场出清的影响。本文针对综合ADN和DHN提出了局部电热综合能源市场出清的双层优化模型，以及与输电系统批发市场出清相协调的配电区位边际定价。在提出的模型中，上层模型表示 DSO 进行的本地电热一体化市场出清，下层模型表示 TSO 进行的电力批发市场出清。PCC点变电站的选址边际价格（LMP）会影响ADN和DHN的市场出清，进而影响配电选址边际价格（DLMP）。此外，DSO 的市场出清行为会影响电力批发市场出清和 LMP。DSO 和 TSO 的平衡是通过将所提出的双层模型转换为具有平衡约束 (MPEC) 模型的数学程序来找到的。MPEC 公式进一步转换为混合整数二阶锥规划 (MISOCP) 以有效求解。