Distributed Gradient Algorithm for Economic Dispatch of Multi-area Power Systems
The economic dispatch of multi-area power systems can be regarded as a new constrained optimization problem in multi-agent network, which comparing to the problems that have been researched includes the global and local decision variables, as well as about their local equality constraints. For solvi...
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| Veröffentlicht in: | 2019 IEEE Sustainable Power and Energy Conference (iSPEC) S. 1681 - 1686 |
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01.11.2019
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| Abstract | The economic dispatch of multi-area power systems can be regarded as a new constrained optimization problem in multi-agent network, which comparing to the problems that have been researched includes the global and local decision variables, as well as about their local equality constraints. For solving this problem, a modified distributed gradient algorithm is proposed by combining two existing methods. Firstly, the interaction prediction and balance method is used to solve the global and local decision variables alternately with a coordination center. Secondly, the optimization problem in coordination center is transformed into an existing constrained optimization problem in multi-agent network and solved by using the distributed primal-dual sub-gradient optimization algorithm. As thus, the multi-area economic dispatch problem can be optimized in a fully distributed way without any coordination center. Through the numerical testing of IEEE-24 bus system divided into three interconnected areas, the three areas can converge to the same global optimal solutions, and compared with the calculation results of centralized optimization, the correctness of the algorithm is verified. |
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| AbstractList | The economic dispatch of multi-area power systems can be regarded as a new constrained optimization problem in multi-agent network, which comparing to the problems that have been researched includes the global and local decision variables, as well as about their local equality constraints. For solving this problem, a modified distributed gradient algorithm is proposed by combining two existing methods. Firstly, the interaction prediction and balance method is used to solve the global and local decision variables alternately with a coordination center. Secondly, the optimization problem in coordination center is transformed into an existing constrained optimization problem in multi-agent network and solved by using the distributed primal-dual sub-gradient optimization algorithm. As thus, the multi-area economic dispatch problem can be optimized in a fully distributed way without any coordination center. Through the numerical testing of IEEE-24 bus system divided into three interconnected areas, the three areas can converge to the same global optimal solutions, and compared with the calculation results of centralized optimization, the correctness of the algorithm is verified. |
| Author | Liu, Ruitong Shao, Shibiao Duan, Fangwei Gao, Feng Wu, Jiang Yang, Yingxuan |
| Author_xml | – sequence: 1 givenname: Shibiao surname: Shao fullname: Shao, Shibiao organization: Xi'an Jiaotong University,System Engineering Institute,Xi'an,China – sequence: 2 givenname: Feng surname: Gao fullname: Gao, Feng organization: Xi'an Jiaotong University,System Engineering Institute,Xi'an,China – sequence: 3 givenname: Jiang surname: Wu fullname: Wu, Jiang organization: Xi'an Jiaotong University,System Engineering Institute,Xi'an,China – sequence: 4 givenname: Ruitong surname: Liu fullname: Liu, Ruitong organization: Liaoning Electric Co., Ltd.,Power Research Institute of State Grid,Shenyang,China – sequence: 5 givenname: Yingxuan surname: Yang fullname: Yang, Yingxuan organization: Liaoning Electric Co., Ltd.,Power Research Institute of State Grid,Shenyang,China – sequence: 6 givenname: Fangwei surname: Duan fullname: Duan, Fangwei organization: Liaoning Electric Co., Ltd.,Power Research Institute of State Grid,Shenyang,China |
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| Snippet | The economic dispatch of multi-area power systems can be regarded as a new constrained optimization problem in multi-agent network, which comparing to the... |
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| SubjectTerms | Couplings Decision feedback equalizers distributed gradient algorithm distributed optimization economic dispatch Economics multi-area power systems Optimization Power systems Prediction algorithms Testing |
| Title | Distributed Gradient Algorithm for Economic Dispatch of Multi-area Power Systems |
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