“…The proposed algorithm is also compared with the GSS Algorithm, implemented using VS&OP power tool [41]. The results are shown in Table 1, from where it could be seen the close agreement of the propose method with the existing one.…”
Section: Optimal Dg Size Calculation and Analysis Of Effectivenessmentioning
This paper deals radial distribution system power losses allocation to connected consumers before and after distribution generator (DG) in a deregulated environment. Allocation of power loss is made in a proposed exact method way, which is calculated based on allocating power losses to consumers by taking each branch current suppling to customer load from substation to customer load. Proposes a new methodology to reduce the burden of loss allocation to customers by allocating the optimal DG size at best location. The best location derive based on highest value line of power stability index (PSI) and increase in small steps of DG values in best location obtain the optimal DG size at the best location. The impact of DG on voltage profile, system losses and customer losses allocation are visualized by an analytical approach. The robustness and scalability of proposed method is tested on 12 bus and 69-bus radial distribution networks and compared with the existing Golden Section Search (GSS) algorithm
“…The proposed algorithm is also compared with the GSS Algorithm, implemented using VS&OP power tool [41]. The results are shown in Table 1, from where it could be seen the close agreement of the propose method with the existing one.…”
Section: Optimal Dg Size Calculation and Analysis Of Effectivenessmentioning
This paper deals radial distribution system power losses allocation to connected consumers before and after distribution generator (DG) in a deregulated environment. Allocation of power loss is made in a proposed exact method way, which is calculated based on allocating power losses to consumers by taking each branch current suppling to customer load from substation to customer load. Proposes a new methodology to reduce the burden of loss allocation to customers by allocating the optimal DG size at best location. The best location derive based on highest value line of power stability index (PSI) and increase in small steps of DG values in best location obtain the optimal DG size at the best location. The impact of DG on voltage profile, system losses and customer losses allocation are visualized by an analytical approach. The robustness and scalability of proposed method is tested on 12 bus and 69-bus radial distribution networks and compared with the existing Golden Section Search (GSS) algorithm
“…The distribution power flow suggested in [41] has been utilized in this work. Simulations were carried out and executed on a Dell Laptop with Processor Intel® Core i5 CPU 2.40 GHz with a 4.0 GB of RAM with 32-bit operating system.…”
Section: Test Cases Numerical Results and Simulationsmentioning
-This article addresses an efficient heuristic-based approach to assign static shunt capacitors along radial distribution networks using the artificial bee colony algorithm. The objective function is adapted to enhance the overall system static voltage stability index and to achieve maximum net yearly savings. Load variations have been considered to optimally scope the fixed and switched capacitors required. The numerical results are compared with those obtained using recent heuristic methods and show that the proposed approach is capable of generating high-grade solutions and validated viability.
“…Optimal location and size of WT generation obtained using Grid Search Algorithm [16]- [18]. The Grid Search Algorithm is applied by adding WT to each bus, changing the size of WT from 0% of total load power to 100% of total load power with the step size of 0.05% of total load power.…”
Section: Optimal Size and Location Of Wtmentioning
The growth of wind energy penetration level in distribution system raises the concern about its impact on the operation of the power system, especially voltage stability and power loss. Among the major concerns, this paper studied the impact of connecting wind Turbine (WT) in radial distribution system with different penetration levels and different power factor (lead and lag) on power system voltage stability and power loss reduction. Load flow calculation was carried out using forward-backward sweep method. The analysis proceeds on 9-and 33-bus radial distribution systems. Results show that voltage stability enhancement and power loss reduction should be considered as WT installation objective.
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