Bi-level Optimization of Strategic Energy Management for Industrial Park Microgrid Participating in Distribution Market

被引：0
|
作者：
Chen H. [1 ]
He C. [1 ]
Zhang R. [1 ]
Jiang T. [1 ]
Li X. [1 ]
机构：
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Northeast Electric Power University, Ministry of Education, Jilin Province, Jilin
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 07期
基金：
中国国家自然科学基金;
关键词：
distribution market; industrial park microgrid; MPEC; production task scheduling; strategic energy management;
D O I：
10.13335/j.1000-3673.pst.2022.2041
中图分类号：
学科分类号：
摘要：
The industrial production always has a close coupling with the energy demand in an industrial park. To properly manage the energy consumption behavior of the industrial users will play an important role in optimizing the flexible scheduling of the power distribution market. In this paper, a bi-level optimization model of the strategic energy management for the industrial park microgrid to participate in the distribution market is proposed. In the upper-level model, the minimum operating cost of the industrial park microgrid is taken as the objective function based on the clearing electricity price in the distribution market. Full use is made of the dispatchability of production tasks in the industrial production process and the energy storage characteristics of the buildings to optimize the energy consumption strategy of the industrial park. The lower-level model is the distribution market clearing model which is to determine the clearing distribution locational marginal prices (DLMPs) of the distribution network nodes, and pass the DLMPs to the upper model for the microgrid energy settlement. To solve the bi-level model, the model is transformed into a mathematical programming with an equilibrium constraint (MPEC) problem, which is further transformed into a mixed-integer second-order-cone programming (MISOCP) model. Finally, the effectiveness of the proposed model and method is verified based on the IEEE33 bus distribution system and a battery manufacturing plant (BMP) industrial park microgrid. The results show that the proposed energy management strategy for the industrial park microgrid is effectively able to reduce the energy cost. © 2023 Power System Technology Press. All rights reserved.
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页码：2671 / 2681
页数：10
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