Optimal wind turbine allocation and network reconfiguration for enhancing resiliency of system after major faults caused by natural disaster considering uncertainty

Abstract

This study proposes a two-stage stochastic optimisation model for jointly wind turbine (WT) allocation and network reconfiguration (NR) so as to increase the resiliency of distribution system in face of natural disasters. In this regard, in the first level, a possibilistic-scenario method is proposed to select the line outage scenarios. The proposed model is capable with distribution systems and considers different failure probabilities for system components subject to the intensity of natural disaster in its associated zone. After selecting the line outage scenarios, in the second level, a multi-stage optimisation framework is proposed for jointly NR and WT allocation in a multi-zone and multi-fault system, considering the uncertainty of system load and wind power generation. This strategy makes an interconnection between NR and islanded WTs to increase the resiliency of system and decreases the load shedding. Different economic objectives including, costs of load shedding and power generation are considered in the model. In addition, hardening budget is taken into consideration for the transmission lines, which is minimised during the optimisation process. The simulation results demonstrate the capability and necessity of proposed resiliency-oriented method and prove the importance of hardening budgets.

A Stochastic Planning Model for Improving Resilience of Distribution System Considering Master-Slave Distributed Generators and Network Reconfiguration

“…In addition, network reconfiguration is an effective strategy to pick up critical loads after natural disasters. In [20], a multi-stage stochastic optimization model was proposed for jointly wind turbine allocation and network reconfiguration in a multi-fault system. In [21], a bi-level network reconfiguration model was presented to improve the electricity distribution network resilience against severe weather events such as hurricane.…”

Risk‐averse microgrid cluster switching approach for improving distribution system characteristics considering uncertainties of renewable energy resources

“…The MG clustering has been introduced as an efficient tool for improving the characteristics of distribution system such as resilience [17][18][19], stability [20][21][22], and reliability [23]. In [17], a three-step analysis is performed to investigate the role of MGs as the resilient resources in boosting the resilience of distribution system, where a new MG formation is introduced so as to explore the resistance of multi-energy MGs.…”

“…Also, Li and Shahidehpour [18] investigated the role of MGs in the face of disruptions caused by natural hazards. Finally, the distribution network reconfiguration is adopted in [19] to connect islanded MGs so as to decline load curtailment as much as possible. In terms of stability, different voltage and current stabiliser controllers are used in [20] to regulate voltage and current of CMGs, where the proposed control algorithm is defined as plug-and-play controller.…”

Bi‐level network reconfiguration model to improve the resilience of distribution systems against extreme weather events

“…The optimal placing of islands in the power system can be a suitable technique to supply the maximum consumers in critical situations [25]. In [26], a reconfiguration model is used to improve the system resilience to restore the islands, formed after the occurrence of extreme natural disasters. In the distribution networks, this technique is confined by radiality constraints on the islands.…”