Impacts of time delays on distributed algorithms for economic dispatch
Economic dispatch problem (EDP) is an optimization problem with the objective to minimize the total generation cost subject to the power balance constraint and generator capacity limits. Typically, EDP is solved in a centralized manner, however, recently, several consensus-based algorithms have been...
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| Published in: | 2015 IEEE Power & Energy Society General Meeting pp. 1 - 5 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
01.07.2015
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| ISSN: | 1932-5517 |
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| Abstract | Economic dispatch problem (EDP) is an optimization problem with the objective to minimize the total generation cost subject to the power balance constraint and generator capacity limits. Typically, EDP is solved in a centralized manner, however, recently, several consensus-based algorithms have been proposed to solve EDP in a distributed manner. In these algorithms, it is assumed that information are exchanged through the perfect communication network. However time delays are ubiquitous in the communication network. This paper investigates impacts of communication time delays on a distributed algorithm. This 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 delays can negatively affect convergence rate, resulting in the algorithm either converging to an incorrect value or failing to converge altogether. |
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| AbstractList | Economic dispatch problem (EDP) is an optimization problem with the objective to minimize the total generation cost subject to the power balance constraint and generator capacity limits. Typically, EDP is solved in a centralized manner, however, recently, several consensus-based algorithms have been proposed to solve EDP in a distributed manner. In these algorithms, it is assumed that information are exchanged through the perfect communication network. However time delays are ubiquitous in the communication network. This paper investigates impacts of communication time delays on a distributed algorithm. This 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 delays can negatively affect convergence rate, resulting in the algorithm either converging to an incorrect value or failing to converge altogether. |
| Author | Jianming Lian Yannan Sun Tao Yang Di Wu |
| Author_xml | – sequence: 1 surname: Tao Yang fullname: Tao Yang email: Tao.Yang@pnnl.gov organization: Pacific Northwest Nat. Lab., Richland, WA, USA – sequence: 2 surname: Di Wu fullname: Di Wu email: Di.Wu@pnnl.gov organization: Pacific Northwest Nat. Lab., Richland, WA, USA – sequence: 3 surname: Yannan Sun fullname: Yannan Sun email: Yannan.Sun@pnnl.gov organization: Pacific Northwest Nat. Lab., Richland, WA, USA – sequence: 4 surname: Jianming Lian fullname: Jianming Lian email: Jianming.Lian@pnnl.gov organization: Pacific Northwest Nat. Lab., Richland, WA, USA |
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| Snippet | Economic dispatch problem (EDP) is an optimization problem with the objective to minimize the total generation cost subject to the power balance constraint and... |
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| SubjectTerms | Algorithm design and analysis Communication networks Consensus Delay effects Delays distributed algorithm Distributed algorithms economic dispatch Generators multi-agent systems Simulation time delays |
| Title | Impacts of time delays on distributed algorithms for economic dispatch |
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