To enhance industrial park's economic gains and effectively allocate its electricity bill among industrial users with combined heat and power (CHP) units and photovoltaic (PV) panels, this paper proposes a distribution locational marginal price (DLMP)-based bi-level demand management approach. The upper level optimizes dispatching decisions of industrial users with the objective of minimizing their energy bills, and the lower level is a DLMP-based market clearing problem to minimize the two-part tariff cost of the industrial park operator. In order to solve the proposed bi-level model efficiently, it is first equivalently converted into a single-level mathematical programming with equilibrium constraints (MPEC), and then reformulated as a mixed-integer second-order conic programming (MISOCP) model by linearizing bilinear terms. Numerical results demonstrate the effectiveness of our proposed bi-level method in lowering industrial park's electricity bill and achieving effective allocation among users.

中文翻译：

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基于双层规划方法的工业园区配电 LMP 需求管理

为了提高工业园区的经济收益，并在热电联产（CHP）机组和光伏（PV）面板的工业用户之间有效分配电费，本文提出了一种基于配电位置边际价格（DLMP）的双层需求管理方法. 上层优化工业用户的调度决策，以最小化他们的能源费用为目标，下层是基于DLMP的市场出清问题，以最小化工业园区运营商的两部分资费成本。为了有效地求解所提出的双层模型，首先将其等效转换为具有均衡约束的单层数学规划（MPEC），然后通过线性化将其重新表述为混合整数二阶圆锥规划（MISOCP）模型双线性项。