Decentralized Intraday Generation Scheduling for Multiarea Power Systems via Dynamic Multiplier-Based Lagrangian Relaxation
Due to day-ahead forecast error in load demand and renewable generation, there exists inevitable deviation between real-time operation and day-ahead generation schedules. This paper introduces a decentralized multiarea intraday generation scheduling based on nonlinear ac power flow. This approach al...
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| Veröffentlicht in: | IEEE transactions on power systems 2017-01, Vol.32 (1), p.454-463 |
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| container_title | IEEE transactions on power systems |
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| creator | Lai, Xiaowen Zhong, Haiwang Xia, Qing Kang, Chongqing |
| description | Due to day-ahead forecast error in load demand and renewable generation, there exists inevitable deviation between real-time operation and day-ahead generation schedules. This paper introduces a decentralized multiarea intraday generation scheduling based on nonlinear ac power flow. This approach allows for a more reliable and economic operation with the ability to accurately constrain power and voltage securities at a multiarea scale. A dynamic multiplier-based algorithm is employed for solving the nonlinear multiarea intraday dispatch model, which is fully decentralized and thus preserves autonomy for each area. The dynamic multiplier-based algorithm presents the advantage of accelerated computation compared to conventional static multiplier. Numerical simulations illustrate the computational performance and practical value of the proposed multiarea intraday generation scheduling framework and dynamic multiplier-based algorithm. |
| doi_str_mv | 10.1109/TPWRS.2016.2544863 |
| format | Article |
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This paper introduces a decentralized multiarea intraday generation scheduling based on nonlinear ac power flow. This approach allows for a more reliable and economic operation with the ability to accurately constrain power and voltage securities at a multiarea scale. A dynamic multiplier-based algorithm is employed for solving the nonlinear multiarea intraday dispatch model, which is fully decentralized and thus preserves autonomy for each area. The dynamic multiplier-based algorithm presents the advantage of accelerated computation compared to conventional static multiplier. Numerical simulations illustrate the computational performance and practical value of the proposed multiarea intraday generation scheduling framework and dynamic multiplier-based algorithm.</description><identifier>ISSN: 0885-8950</identifier><identifier>EISSN: 1558-0679</identifier><identifier>DOI: 10.1109/TPWRS.2016.2544863</identifier><identifier>CODEN: ITPSEG</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Autonomy ; Computer simulation ; Dynamic multiplier ; Economic forecasting ; Generators ; Heuristic algorithms ; intra-day dispatch ; Lagrangian relaxation (LR) ; Mathematical models ; multi-area coordination ; Power flow ; Power system dynamics ; Reactive power ; Real time operation ; Real-time systems ; Schedules ; Scheduling ; Security ; sensitivity analysis</subject><ispartof>IEEE transactions on power systems, 2017-01, Vol.32 (1), p.454-463</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Numerical simulations illustrate the computational performance and practical value of the proposed multiarea intraday generation scheduling framework and dynamic multiplier-based algorithm.</description><subject>Algorithms</subject><subject>Autonomy</subject><subject>Computer simulation</subject><subject>Dynamic multiplier</subject><subject>Economic forecasting</subject><subject>Generators</subject><subject>Heuristic algorithms</subject><subject>intra-day dispatch</subject><subject>Lagrangian relaxation (LR)</subject><subject>Mathematical models</subject><subject>multi-area coordination</subject><subject>Power flow</subject><subject>Power system dynamics</subject><subject>Reactive power</subject><subject>Real time operation</subject><subject>Real-time systems</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>Security</subject><subject>sensitivity analysis</subject><issn>0885-8950</issn><issn>1558-0679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwkAQhjdGExH9A3rZxHNxP7rb7VFBkQQjAYzHZtpOcUlpcbeo6J-3CPE0k8zzvpM8hFxy1uOcxTfzyet01hOM655QYWi0PCIdrpQJmI7iY9JhxqjAxIqdkjPvl4wx3R465GeAGVaNg9J-Y05HuzWHLR1ihQ4aW1d0lr1hvilttaBF7ejTpmwsOAQ6qT_R0dnWN7jy9MMCHWwrWNlsz6xLiy64A9_2jmHhoFpYqOgUS_j6az4nJwWUHi8Os0teHu7n_cdg_Dwc9W_HQSbDsAlMLjQXRRRjrDgXHLUWQiLjoCFNIRZGY1oooxWDOBMGU8Wk4RHKzIDWueyS633v2tXvG_RNsqw3rmpfJtwoLU2slWopsacyV3vvsEjWzq7AbRPOkp3k5E9yspOcHCS3oat9yCLifyAKdShDJX8BSJR6fQ</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Lai, Xiaowen</creator><creator>Zhong, Haiwang</creator><creator>Xia, Qing</creator><creator>Kang, Chongqing</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Algorithms Autonomy Computer simulation Dynamic multiplier Economic forecasting Generators Heuristic algorithms intra-day dispatch Lagrangian relaxation (LR) Mathematical models multi-area coordination Power flow Power system dynamics Reactive power Real time operation Real-time systems Schedules Scheduling Security sensitivity analysis |
| title | Decentralized Intraday Generation Scheduling for Multiarea Power Systems via Dynamic Multiplier-Based Lagrangian Relaxation |
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