Electric energy supply grids, which are regarded the largest segment of the energy system due to the structure, diversity, and multiplicity of the equipment used in them, have allocated the largest share of subscribers' blackouts. Hence, enhancing the consistency of supply grids has attracted the attention of many experts in the electricity industry. One of the major and successful responses to enhancing the consistency of electrical energy supply grids is the effective use of disconnectors and maneuvering points. The number and situation of these tools have a crucial effect on the success of maneuver operations in supply grids, and with the proper design of these tools, the level of consistency of this part of the power system can be crucially enhanced. Considering that the appropriate situation of each of these two tools (disconnectors or maneuvering points) is dependent on the success of the other device, in the design of aerial supply grids, to achieve an ideal response, the issue of identifying the situation of both tools must be solved simultaneously. In this article, a new framework is offered to find response to the issue of simultaneous positioning of disconnectors and maneuvering points in supply grids, in which the expenses of switches, lines, and also the expense of blackouts in the network are included. Since the above issue has diverse objective functions, a developed multi-purpose particle swarm optimization framework has been utilized to solve it. The suggested extended model, considering additional operators, is trying to enhance its local and global search. Finally, the suggested technique and model have been discussed and explored on the sample system under diverse working conditions. The acquired outcomes show that this model can be used in the design and planning units of electricity distribution companies as a suitable tool for designing disconnectors and maneuvering points.