Optimal islands determination in power system restoration applying multi-objective populated simulated annealing

Background When a power system blackout occurs, it affects the economy of the country and every aspect of human life. Cascading failures can easily occur and cause a major blackout in the power grid due to the breakdown or failure of important nodes or links. Recently, transmission network reconfiguration (TNR) becomes a hot topic and has made many concerns after major blackouts of power systems. Aims TNR is the second‐stage action plan to restore power systems and plays a major role in the process of power system restoration. On the other hand, grid resilience involves a quick dynamic reconfiguration of power systems to minimize the propagation of attack influences on the grid. The motivations to include the works in this survey are based on the quality of the research performed in the transmission network reconfiguration problem for grid resilience. In this article, the state‐of‐the‐art review of recent progress in the network reconfiguration problem of the transmission system for grid resilience is discussed with practical challenges, technical issues, and power industry practices. Materials & Methods In this paper, complex network theory‐based indices with advantages, disadvantages, and their applications have been discussed to assess the important nodes and lines for network reconfiguration problem during sudden disturbances in power systems. Furthermore, optimization models have been presented with objective functions as well as their constraints. Taken together, optimization methodologies have been discussed to solve network reconfiguration problem with merits and demerits. Results This survey paper presents current trends in research and future research directions concerning transmission network reconfiguration for academic researchers and practicing engineers. Furthermore, the most current studies in improving transmission network reconfiguration problem are reviewed by highlighting their advantages and limitations. Discussion Based on a thorough comparison of literature some future perspectives are also discussed for transmission network reconfiguration problem for grid resilience. Conclusion This review paper provides a comprehensive review of current practices applied to transmission network reconfiguration. The core focus of this paper will remain on complex network theory‐based indices, optimization models, optimization methodologies, challenges, and technical issues, and discusses future direction for transmission network reconfiguration problem for grid resilience. Furthermore, the most current studies in improving transmission network reconfiguration problem are reviewed by highlighting their advantages and limitations.

Section: Transmission Network Reconfiguration For Grid Resiliencementioning

confidence: 99%

Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience

Aziz

Liu

Waseem

et al. 2020

“…In Reference , the design of optimal MGs is done with the aim of increasing the reliability and supply security. The idea of self‐adequacy MGs used for self‐healing in References . However, in all these articles, the MGs boundary is set before the fault.…”

Section: Introductionmentioning

confidence: 99%

“…Another important issue to consider in this article is the use of backup feeders for system restoration. Backup feeders are only used in References for the restoration problem. In Reference , load shedding and islanding state are not considered for restoration.…”

Section: Introductionmentioning

confidence: 99%

“…Then, by solving a linear integer problem, a critical load restoration strategy is obtained. In Reference , islands are specified for service recovery when is created a permanent fault. In Reference , a resilient‐based approach is proposed that MGs are used to restore the critical loads of distribution feeders after a major failure.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference , load shedding and islanding state are not considered for restoration. In References , load shedding is not considered for restoration. The cost of distributed generation rescheduling (DGR) is another important issue that is overlooked in the above literature.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Self‐healing optimization in active distribution network to improve reliability, and reduction losses, switching cost and load shedding

Choopani

Hedayati

Effatnejad

2020

Summary Self‐healing refers to the specific ability of the smart grid that takes precautionary actions before the fault. It also performs fault location, isolation, and service restoration to minimize network damage after the fault. This process is performed with the help of communications infrastructure and remote control. The main components of this article include the use of graph theory and binary particle swarm optimization algorithm for optimal switching, the use of particle swarm optimization algorithm and forward‐backward sweep load flow for load shedding and distributed generation rescheduling, investigating the effect of self‐healing on improved reliability, power losses reduction, and load shedding reduction and the present a new approach for self‐healing optimization and a new mathematical model. The problem of self‐healing due to nonlinear and unbounded constraints is one of the nonconvex mixed integer nonlinear programming optimization problems. The optimization problem becomes a convex mixed integer linear programming optimization problem using the proposed scheme. Due to the nonlinearity and the nonconvexity of the problem, commercial solvers are not able to solve this problem. Even the Baron solver, which is used to solve nonconvex nonlinear problems, cannot achieve the optimal global solution. However, the proposed method is easily able to achieve the optimal solution by eliminating the nonlinear and nonconvex element. A modified RBTS‐4 distribution system is used as a test system. The IEEE 33‐bus distribution system is used to validate the proposed method. The results of case studies demonstrate the effectiveness of the proposed methodology.

Island partitioning of smart distribution systems under emergency conditions considering frequency stability

Najafabadi

Foroud

2021

Island partitioning is an interesting solution for service restoration in the emergency operation of the smart distribution system. Since rapid decisionmaking is required in an emergency condition, the island partitioning without regard to the time allowed for the implementation of control actions may lead to the violation of the allowable frequency limits and the activation of frequency relays. Therefore, this paper presents a two-stage solution procedure to restore the smart distribution system in emergency condition considering the frequency stability, operational constraints, the position of switches, the load priority and controllability, the controllable and uncontrollable distributed generations, and the time delay in implementation of control actions. In the first stage, considering the frequency stability, the time interval for the implementation of control actions is determined. Then, considering this time interval, the load/generation changes and the boundaries of the partitions are determined, using the partitioning algorithm based on black widow optimization, in order to maximize the value of the restored loads/ minimize the operational cost of DGs. In the second stage, the formed partitions are adjusted to satisfy the operating constraints of the system. Applying the proposed method to the PG&E 69-bus test system, considering different scenarios, and comparing the proposed method with the previous methods show the efficiency of the proposed method.