A Transmission and Distribution Cooperative Congestion Scheduling Strategy Based on Flexible Load Dynamic Compensation Prices

Author:

Sun Hui1,Jin Tian1,Gao Zhengnan2,Hu Shubo3,Dou Yanan4,Lu Xueli5

Affiliation:

1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China

2. China Electric Power Research Institute Co., Ltd., Beijing 100192, China

3. Electric Power Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110055, China

4. Langfang Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Langfang 065099, China

5. Disaster Prevention and Reduction Center, State Grid Hunan Electric Power Co., Ltd., Changsha 410007, China

Abstract

With the demand response and the massive access of distributed energy to the distribution network, it is possible to solve the transmission congestion problem by coordinating the controllable resources in a transmission network and distribution network. Aiming at resolving the problems of scattered side response resources and difficult-to-negotiate compensation prices, a bi-level optimal congestion scheduling strategy based on flexible load dynamic compensation prices is proposed. Under this strategy, the transmission network layer aims at minimizing the congestion cost and optimizes the adjustment scheme of the generator set and the node price. The active distribution network layer obtains the dynamic compensation price of the flexible load of the distribution network through the load characteristics and the node price. Through the interaction and coordination between the two layers, an optimal congestion scheduling scheme is obtained, and the transmission and distribution jointly solve the congestion problem. Based on the modified IEEE-39 experimental system, the effectiveness of the proposed strategy is verified via a simulation.

Publisher

MDPI AG

Reference24 articles.

1. Di Persio, L., and Fraccarolo, N. (2023). Investment and Bidding Strategies for Optimal Transmission Management Dynamics: The Italian Case. Energies, 16.

2. Du, P. (2022). Research on Key Technologies of Transmission Network Congestion Management Based on Transmission and Distribution Coordination. [Ph.D. Thesis, SouthEast University].

3. Huang, Y., Liu, X., Zhang, Z., Yang, L., Lin, Z., Dan, Y., Sun, K., Lan, Z., and Zhu, K. (2020). Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market. Energies, 13.

4. Guo, Q. (2023). Source-Storage-Network Joint Planning Method to Deal with Insufficient Flexibility and Transmission Congestion. [Master’s Thesis, Northeast Electric Power University].

5. Lei, J. (2023). A New Method to Solve the Problem of Transmission Congestion by Using Interruptible Load. [Master’s Thesis, North China Electric Power University].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3