Finding the reliability expression of different substation configurations can help design a distribution system with the best overall reliability. This paper presents a computerized and implemented algorithm, based on Disjoint Sum of Product (DSOP) algorithm. The algorithm was synthesized and applied for the first time to the determination of reliability expression of a substation to determine reliability indices and costs of different substation arrangements. It deals with the implementation and synthesis of a new designed algorithm for DSOP implemented using C/C??, incorporating parallel problem solving capability and overcoming the disadvantage of Monte Carlo simulation which is the lengthy computational time to achieve satisfactory statistical convergence of reliability index values. The major highlight of this research being that the time consuming procedures of the DSOP solution generated for different substation arrangements using the proposed method is found to be significantly lower in comparison with the time consuming procedures of Monte Carlo-simulation solution or any other method used for the reliability evaluation of substations in the existing literature such as meta-heuristic and soft computing algorithms. This implementation gives the possibility of RBD simulation for different substation configurations in C/C?? using their path-set Boolean expressions mapped to probabilistic domain and result in simplest Sum of Disjoint Product which is on a one-to-one correspondence with reliability expression. This software tool is capable of handling and modeling a large, repairable system. Additionally, through its intuitive interface it can be easily used for industrial and commercial power systems. With simple Boolean expression for a configuration's RBD inputted, users can define a power system utilizing a RBD and, through a fast and efficient built-in simulation engine, the required reliability expressions and indices can be obtained. Two case studies will be analyzed in this paper. The effects of different substation configurations on the reliability are analyzed and compared. Then, the reliability of a radial distribution system will be evaluated using DSOP solution. The failure results will be combined with a load flow scenario, and indices such as SAIDI, SAIFI will be determined.
This research paper introduces a hybrid energy storage system using both wind energy and solar energy so that it can remarkably increase the energy storage capacity and the output power of the system. The proposed system is mainly used for storage purposes and the renewable energy sources are used instead of non-renewable energy source. Hybrid systems are considered an efficient research area in energy storage systems owning to their excellent output efficiency and better and excellent charge generation in case of any environmental conditions. It uses the conventional charging controller to charge the battery when wind and extreme solar irradiation conditions occur. The proposed project has started with MATLAB software simulation of the wind storage system and the solar energy storage system. After the Matlab Simulation, the prototype working model has been designed in an efficient manner with all the necessary components in both initial level prototype model and the final level prototype model. Then the working model is developed with the final model design. The results of the generated power from this hybrid energy storage system has been tested and verified by connecting the necessary details.
:Substations are the weakest link between the source of supply and the customer load points in a power system, because they comprise switching arrangements that would lead to loss of load. Finding the reliability expression of different substation configurations can help design a system with the best overall reliability. This paper presents a computerized and implemented algorithm, based on disjoint sum of product (DSOP)
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