Distribution Locational Marginal Pricing Based Equilibrium Optimization Strategy for Data Center Park with Spatial-temporal Demand-side Resources

作     者：Zhihao Yang Anupam Trivedi Ming Ni Haoming Liu Dipti Srinivasan Zhihao Yang;Anupam Trivedi;Ming Ni;Haoming Liu;Dipti Srinivasan

作者机构：IEEE College of Energy and Electrical EngineeringHohai UniversityNanjing 211100China Department of Electrical&Computer EngineeringNational University of SingaporeSingapore 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2023年第11卷第6期

页      面：1959-1970页

核心收录：

学科分类：12[管理学] 0202[经济学-应用经济学] 02[经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 020205[经济学-产业经济学] 080802[工学-电力系统及其自动化] 08[工学] 

基　　金：supported in part by the 2021 Graduate Research and Innovation Program of Jiangsu,China (No.KYCX21_0473) the China Scholarship Council (CSC) Program (No.202106710110) 

主　　题：Bi-level optimization congestion management data center demand response distribution locational marginal pricing(DLMP) robust optimization 

摘      要：This paper proposes a distribution locational marginal pricing(DLMP) based bi-level Stackelberg game framework between the internet service company(ISC) and distribution system operator(DSO) in the data center park. To minimize electricity costs, the ISC at the upper level dispatches the interactive workloads(IWs) across different data center buildings spatially and schedules the battery energy storage system temporally in response to DLMP. Photovoltaic generation and static var generation provide extra active and reactive power. At the lower level, DSO calculates the DLMP by minimizing the total electricity cost under the two-part tariff policy and ensures that the distribution network is uncongested and bus voltage is within the limit. The equilibrium solution is obtained by converting the bi-level optimization into a single-level mixed-integer second-order cone programming optimization using the strong duality theorem and the binary expansion method. Case studies verify that the proposed method benefits both the DSO and ISC while preserving the privacy of the ISC. By taking into account the uncertainties in IWs and photovoltaic generation, the flexibility of distribution networks is enhanced, which further facilitates the accommodation of more demand-side resources.