Determining the location and size of the wind resources in the distribution network from the perspective of the distribution network operator using a hunting search (HUS) algorithm
The development of electric energy consumption, the high cost of installation of large power plants, the development of transmission lines, price jumps, running out of fossil fuels, environmental pollution and competitive space power systems render the use of distributed generation sources with significant growth.Among the benefits of these resources, reducing losses, improving voltage profile and power quality, improving reliability indices and reducing subscribers' interruptions can be mentioned. The important issue regarding DGs is the placement problem and determining the size of these resources. Improper placement of these resources and their inept production, not only does not improve the network performance, but also it may have adverse consequences on the network voltage profile and losses. Therefore, placement and determining the optimal size of DGs is one of the key issues in distribution system development planning from the perspective of distribution network operator which is addressed in this paper. In this paper, placement and size determination of wind turbines in distribution networks is studied to improve reliability indices. The reliability indices considered are System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Average Service Availability Index (ASAI) and ENS. Placement optimization problem and size determination of wind distributed generation sources have been conducted using hunting search (HuS) algorithm, and the results are compared to particle swarm optimization (PSO). The positive effect of wind generators on improving reliability, as well as the efficiency of the proposed method is studied through simulations on 8 bus radial network.
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