Reports from Zhejiang University Add New Data to Findings in Electrical Transmission and Distribution (Resilient Co-expansion Planning Between Gas and Electric Distribution Networks Against Natural Disasters)

2020 SEP 30 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Investigators publish new report on Electrical Transmission and Distribution. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “Resiliently designed and constructed integrated gas-electric distribution networks (GEDNs) against natural disasters are crucial to social welfare. In this study, a two-stage robust optimisation-based co-expansion planning model is proposed to attain an integrated GEDN with a given resilience level, by optimising the investment strategies of hardening and selective expansion of power distribution feeders and natural gas pipelines, as well as the location and capacity of natural-gas-fired distributed generation.”

Financial supporters for this research include National Key Research and Development Program of China (Basic Research Class), National Natural Science Foundation of China, project of State Grid Zhejiang Electric Power Co., Ltd.

Our news journalists obtained a quote from the research from Zhejiang University, “In the first stage, the overall annual investment and operation cost is minimised under normal operation conditions while in the second stage, the feasibility of the investment decisions under the identified worst-case natural disaster scenario is checked with an adjustable load shedding cost criterion. The proposed model is formulated as a mixed integer second-order cone programming problem with the column and constraint generation algorithm employed to seek the optimal solution.”

According to the news editors, the research concluded: “Case studies on two integrated GEDNs demonstrate the performance of the proposed methodology.”

For more information on this research see: Resilient Co-expansion Planning Between Gas and Electric Distribution Networks Against Natural Disasters. IET Generation Transmission & Distribution, 2020;14(17):3561-3570. IET Generation Transmission & Distribution can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England.

Our news journalists report that additional information may be obtained by contacting Fushuan Wen, Zhejiang University, School of Electrical Engineering, Hangzhou 310027, People’s Republic of China. Additional authors for this research include Bo Zou, Cheng Wang, Ying Zhou, Jianhui Wang and Chen Chen.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1049/iet-gtd.2019.0569. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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