Multi-Objective Optimal Configuration of Multiple Switchgear Considering Distribution Network Fault Reconfiguration

Abstract

The power supply and distribution network of prosumer group is equipped with contact switch and section switch. After feeder fault occurs, the topological structure of distribution network can be adjusted by changing the switch state of each switch in the system, so as to realize the reconstruction after the fault, so as to restore the power supply in the fault free area. The optimal configuration of different types of switchgear in the appropriate position of the distribution network can reduce the time of fault location and isolation, and further realize the reconfiguration of the distribution network after the fault occurs, which greatly improves the reliability of the power supply and distribution network for prosumer group. This paper introduces a series of Boolean expressions to describe the existence of switches in distribution network, and then determines the corresponding load interruption time according to different fault types. On this basis, a distribution network fault reconfiguration model is esta blished. By minimizing the investment cost and network loss, a multi-objective optimization model with power supply reliability as the index is established. Finally, the proposed model is tested through the RBIs bus 4 network. The test results show that the solution can effectively reduce the investment cost, improve the reliability of the distribution network, and maximize the investment income.

Fault Recovery of Distribution Network with Distributed Generation Based on Pigeon-Inspired Optimization Algorithm

“…where S imax represents the maximum power limit that the ith line can carry. (4) DG Output Constraints P DG,min ≤ P DG ≤ P DG,max (10) 0 ≤ Q DG ≤ P DG,max tan ϕ (11) where P DG,min and P DG,max represent the lower and upper limits of DG active power output and ϕ is the power factor angle. (5) Radial Structure Constraints…”

“…As a result, the complexity of fault within distribution networks is progressively rising, which adversely affects the operation and reliability of the power system [8]. In contrast to protection strategies in conventional systems during network faults, topology alteration through switching operations [9] is commonly employed in the new networks to isolate faulty sections [10,11], ensure power supply to non-faulty zones, optimize the network's structure during fault periods, and incorporate distributed energy resources for islanded partition [12,13]. This effectively supplies power to users in islanded segments before fault restoration, thereby forming a highly efficient fault recovery approach.…”

Accelerated hierarchical optimization method for emergency energy management of microgrids with energy storage systems

“…6 The difficulty lies in how to reduce time of reconfiguration and find the optimal reconfiguration. 7 Currently, three types of methods for reconfiguration have been studied, such as traditional optimization methods, [8][9][10][11][12][13][14][15][16] heuristic methods, 17,18 and artificial intelligence based methods. [19][20][21][22][23] For example, the reconfiguration and reactive power optimization were formulated in the form of mathematical programming, which transformed the problem into a form with a convex feasible region in order to solve it more conveniently.…”