Impacts of Time Delays on Distributed Algorithms for Economic Dispatch

Conference · Sun Jul 26 00:00:00 EDT 2015

DOI:https://doi.org/10.1109/PESGM.2015.7286216· OSTI ID:1223422

Yang, Tao; Wu, Di; Sun, Yannan; Lian, Jianming

Economic dispatch problem (EDP) is an important problem in power systems. It can be formulated as an optimization problem with the objective to minimize the total generation cost subject to the power balance constraint and generator capacity limits. Recently, several consensus-based algorithms have been proposed to solve EDP in a distributed manner. However, impacts of communication time delays on these distributed algorithms are not fully understood, especially for the case where the communication network is directed, i.e., the information exchange is unidirectional. This paper investigates communication time delay effects on a distributed algorithm for directed communication networks. The algorithm has been tested by applying time delays to different types of information exchange. Several case studies are carried out to evaluate the effectiveness and performance of the algorithm in the presence of time delays in communication networks. It is found that time delay effects have negative effects on the convergence rate, and can even result in an incorrect converge value or fail the algorithm to converge.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1223422
• Report Number(s): PNNL-SA-106877
• Resource Relation: Conference: IEEE Power & Energy Society General Meeting, July 26-30, 2015, Denver, Colorado, 1-5
• Country of Publication: United States
• Language: English