Determination of the optimal location of power plants as a part of an autonomous power supply system based on renewable ener-gy sources

The paper proposes the problem solution of optimal location determining of several power stations in some region. These stations receive primary energy from renewable sources, such as solar panels and wind turbines. At the same time, the condition of the problem includes the availability of information on several perspective areas in this region for the placement of such power stations, as well as information of values and distribution of loads. The developed algorithm for solving of the optimal location selection problem of power stations consists of several stages. The content of the first stage of the algorithm is ranking of possible areas for the location of power stations using local criteria, which are proposed as the specific estimated cost of station arrangement, the remoteness of the proposed location of the power station from loads and settlements. The second stage of the algorithm consists in a set formation of possible areas for the location of stations. And at the final stage of the algorithm, they are ranked using system criteria that evaluate these sets of areas for the location of power stations as a power supply system. The estimated cost of a power supply system arrangement based on power stations, located on areas of the rated set, the specific estimated cost of power stations arrangement, applied to the set of power stations with power lines as an autonomous power supply system, as well as the average rating of areas are proposed as system criteria. In this case, the decision maker, after familiarizing with values of system criteria, sets critical boundaries for each of them. The result of the algorithm is a certain totality of prospective sets for the location of several power stations in a given region, estimates of which according to system criteria are the best correspond to preferences of the decision maker. A feature of the proposed approach is the participation of the decision maker at all stages of design.