This paper presents the application of simulated annealing algorithm for the optimal placement of multiple distributed generations in IEEE 33 bus radial distribution system. In this paper multiobjective like power losses, and voltage profile improvement are considered. Expenditure of losses and savings are also estimated. Optimal placements are found using simulated annealing optimization technique. Voltage and Power Losses are calculated using Load flow analysis. Load flow analysis is done in IEEE 33 bus radial distributed network using Forward-Backward sweep method. Using matlab software the performance of simulated annealing is illustrated. The feasibility of the proposed system is proved with Five Distributed Generations (DGs) which may be the combinations of Solar, Wind, Fuel cell, Geothermal, Biomass, reciprocating engines, and micro turbines. Using multiple DGs the improved results are discussed in this paper.
The objective of this paper is to provide a robust Virtual Power Plant (VPP) network collaborated with Internet of Things (IoT) which uses a conceptual model to integrate each device in the grid. Based on the functionality all the devices which are purely distributed within the grid are networked initially from residential units to substations and up to service data and demand centres. To ensure the trapping of the available power and the efficient transfer of Distributed Generation (DG) power to the grid Distribution Active Control (DAC) strategy is used. Synchronized optimization of DG parameter which includes DG size, location and type are adopted using Dispatch strategy. The case studies are optimized by rescheduling the generation and with load curtailment. Maximized Customer Benefit (MCB) is taken as an objective function and a straight forward solution is given by heuristic search techniques. This method was vindicated in a practical Indian Utility system. This control proposes better performances, ensures reliability and efficiency even under parameter variations along with disturbances which is justified using IEEE 118 bus system and real time Indian utility 63 bus system. Results reveal that the proposed technique proves advantages of low computational intricacy.
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