A Mixed-Integer Programming Approach for Unit Commitment in Micro-Grid with Incentive-Based Demand Response and Battery Energy Storage System
A Mixed-Integer Programming Approach for Unit Commitment in Micro-Grid with Incentive-Based Demand Response and Battery Energy Storage System
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DOI：
10.3390/en15197192
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发表时间：
2022-09
期刊：
影响因子：
3.2
通讯作者：
T. Nguyen-Duc;Linh Hoang-Tuan;Hung Ta-Xuan;Long Do-Van;H. Takano
中科院分区：
文献类型：
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作者：
T. Nguyen-Duc;Linh Hoang-Tuan;Hung Ta-Xuan;Long Do-Van;H. Takano
在间歇性可再生能源（RES）日益普及的背景下，传统大容量电力系统和微电网面临的重大挑战之一是发电机组调度问题。许多研究都集中在解决集成RES的微电网的能量管理问题。为了解决RES引起的不稳定性，考虑了电池储能系统（BESS）或需求响应（DR）等灵活组件。为了明确这些灵活的组件集成的问题，混合整数规划（MIP）的机组组合（UC）的问题，本文提出了一种混合整数规划（MIP）的方法与BESS和DR微电网。为提高微电网的效率和可靠性，提出了一种基于激励机制的负电源需求响应模型和一种详细的钒电池模型。考虑到负荷和可再生能源的不确定性，目标优化函数，包括发电，排放和维护的成本最小化。所得到的仿真结果进行了比较与遗传算法（GA）的方法作为验证的基础，在不同的情况下研究。结果表明，BESS模型和DR程序的使用对系统运行的影响。
In the context of the increasing penetration of intermittent renewable energy resources (RES), one of the significant challenges facing traditional bulk power systems and microgrids is the scheduling generation units problem. Many studies have focused on solving the energy management problem for microgrids integrating RES. To address the intermittency caused by RES, flexible components such as battery energy storage systems (BESS) or demand response (DR) are considered. To clarify the problem of integrating these flexible components, a mixed-integer programming (MIP) approach for the unit commitment (UC) problem for microgrids with BESS and DR is proposed in this paper. An incentive-based demand response model as a negative power source and a detailed model for the vanadium redox battery (VRB) are introduced to improve the efficiency and reliability of microgrids. The objective optimization function, including the costs of generation, emissions, and maintenance, is minimized considering the uncertainty of the load and renewable energy sources. The obtained simulation results are compared with the genetic algorithm (GA) method as the basis for verification in different case studies. The obtained results have clarified the effect of using the BESS model and DR program on system operation.