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Optimization of isolation valve placement to improve reliability and resilience of water distribution systems

Author

Listed:
  • Liu, Jun
  • Wan, Yunchang
  • Zhang, Qingzhou
  • Wang, Hongpeng
  • Zhao, Dahai
  • Wei, Daoling
  • Zhu, Yunhua
  • Liu, Junyu

Abstract

Optimization of isolation valve layout is critical to improve post-failure response restoration of water distribution systems (WDSs) when pipes are damaged. Many studies have been done to optimize isolation valves to improve reliability of WDSs, but less attention has been given to improving the seismic resilience. This paper proposes a multi-objective optimization model for isolation valves placement considering reliability and seismic resilience simultaneously. The newly developed model employs topology-based reliability and resilience indicators to improve efficiency of optimization algorithm by identification of accidental segments and unintended isolation segments using graph theory without hydraulic simulation. The optimization model was applied to two networks with different loop structures. Subsequently, searching trajectory guided by constraints is investigated and performance of isolation valve placements under different valve densities are assessed including topological structure of isolation valves, criticality of segments and isolation valves, and seismic resilience. The results showed that optimal layout of isolation valves obtained through optimization can improve the reliability and resilience of the system. Our novel approach can benefit water utilities that frequently encounter optimal placement of isolation valves to improve the reliability and resilience of WDSs.

Suggested Citation

  • Liu, Jun & Wan, Yunchang & Zhang, Qingzhou & Wang, Hongpeng & Zhao, Dahai & Wei, Daoling & Zhu, Yunhua & Liu, Junyu, 2024. "Optimization of isolation valve placement to improve reliability and resilience of water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024004952
    DOI: 10.1016/j.ress.2024.110423
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