DOI:10.1007/s40565-015-0105-3 |
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A low-carbon oriented probabilistic approach for transmission expansion planning |
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Page view: 91
Net amount: 1787 |
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Author:
Jing QIU1,Zhaoyang DONG2,Junhua ZHAO1,Ke MENG1,Fengji LUO1,Kit Po WONG3,Chao LU 4
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Author Affiliation:
1. Centre for Intelligent Electricity Networks (CIEN), University of Newcastle, Callaghan, NSW, 2308, Australia
2. School of Electrical and Information Engineering, University of Sydney, Sydney, NSW, 2006, Australia
3. School of Electrical, Electronics and Computer Engineering, University of Western Australia, Perth, WA, 6009, Australia
4. Department of Electrical Engineering, Tsinghua University, Beijing, China
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Abstract: |
Following the deregulation of the power industry, transmission expansion planning (TEP) has become more complicated due to the presence of uncertainties and conflicting objectives in a market environment.Also, the growing concern on global warming high lights the importance of considering carbon pricing policies during TEP. In this paper, a probabilistic TEP approach is proposed with the integration of a chance constrained load curtailment index. The formulated dynamic programming problem is solved by a hybrid solution algorithm in aniterative process. The performance of our approach is demonstrated by case studies on a modified IEEE 14-bussystem. Simulation results prove that our approach canprovide network planners with comprehensive information regarding effects of uncertainties on TEP schemes, allowing them to adjust planning strategies based on their riskaversion levels or financial constraints. |
Keywords: |
Power system planning, Emission reduction,Dynamic programming, Risk management |
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Online Time:2015/05/22 |
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