Optimization of Reactive Power Injection on Radial Distribution Network for Improved System Performance (original) (raw)
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Current Journal of Applied Science and Technology, 2021
This paper presents a Cuckoo Search (CS) algorithm-based methodology for simultaneous optimal placement and sizing of Shunt Capacitors (SCs) and Distributed Generations (DGs) together in radial distribution systems. The objectives of the work are to minimize the real power and reactive power losses while maximizing the voltage stability index of the distribution network subjected to equality and inequality constraints. Different operational test cases are considered namely installation of SCs only, DGs only, SCs before DGs, DGs before SCs, and SCs and DGs at one time. The proposed method has been demonstrated on standard IEEE 33-bus and a practical Ayepe 34-bus radial distribution test systems. The highest percentage power loss reduction of 94.4% and other substantial benefits are obtained when SCs and DGs are optimally installed simultaneously. Simulated results obtained from the proposed technique are compared with other well-known optimization algorithms and found to be more effe...
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Background:Introduction of capacitor into a radial distribution network can bring about power loss reduction, minimization of total cost due to power loss and compensation, improvement of network voltage profile and stability index. This depends on the deliberate placement and sizing of shunt capacitor as improper allocation may yield negative results. Hence this paper aim to minimize the compensation cost, reduce total power loss, improve the voltage profile and stability index by the way of optimal placement and sizing of one to three shunt capacitors using Cuckoo Search Algorithm as optimization technique. Methodology: In this paper, the objective function is the minimization of the total annual cost due to the radial distribution system power losses and reactive power compensation subject to the operating constraints. The cost of reactive power compensation includes purchase, installation and operating cost of capacitors. The applicability of the proposed method was tested on th...
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The problem of optimal capacitor allocation in electric distribution systems involves maximizing energy utilization, feeder loss reduction, and voltage profile improvement. The feeder loss can be separated into two parts based on the active and reactive power loss components. This paper presents an optimization method for minimizing the loss associated with the reactive component of branch currents by allocating optimal reactive power in the distribution system. In this paper, particle swarm optimization (PSO) algorithm is used for reactive power optimization problem in the distribution system. To allocate reactive power control variables in optimal location and with proper size two solution methods are applied. In the first method successive loss sensitive factor and normalized voltage is used to select the candidate optimal location of the capacitor and in the second method particle swarm optimization is applied to determine the size of capacitors at the optimal buses determined i...
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This work aims at reduction in active and reactive power loss reduction in distribution networks as well as to improve the voltage stability of the networks. Optimum Distributed Generation (DG) placement and sizing is carried out in conjunction with shunt capacitor placement and sizing to determine the appropriate sizes of DG units and Capacitor banks to be placed in the networks so as not to violate certain constraints. The optimal sizes of the DG units and capacitor banks were obtained on application of a Cuckoo Search Optimization Algorithm while computations for Voltage stability was performed using the Voltage Stability Index (VSI). The obtained optimal sizes of DG units and Capacitors were individually and simultaneously placed on the distribution networks to ascertain the behaviour of the networks prior to and after their placements. The performance factors considered are power loss and voltage stability. A comparison of these performance factors under separate and simultaneo...
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This article proposes a new approach based on a bio-inspired Cuckoo Search Algorithm (CSA) that can significantly envisage with several issues for optimal allocation of distribution static compensator (DSTATCOM) in Radial Distribution System (RDS). In the proposed method, optimal locations of the DSTATCOM are calculated by using the Loss Sensitivity Factor (LSF). The optimal size of the DSTATCOM is simulated by using the newly developed CSA. In the proposed method, load flow calculations are performed by using a fast and efficient backward/forward sweep algorithm. Here, the mathematically formed objective function of the proposed method is to reduce the total system power losses. Standard 33-bus and 69-bus systems have been used to show the effectiveness of the proposed CSA-based optimization method in the RDS with different load models. The simulated results confirm that the optimal allocation of DSTATCOM plays a significant role in power loss minimization and enhanced voltage prof...
2016 19th International Conference on Electrical Machines and Systems (ICEMS), 2016
This paper proposes a planning approach for distributed generation (DG) and capacitor in an unbalanced distribution system. The objective function of this planning includes power loss. A cuckoo search algorithm based optimization technique is utilized to obtain the optimal location and ratings of DG and capacitor. A forward-backward sweep based three-phase load flow algorithm is used to get the load flow solutions. The effectiveness of the proposed methodology is verified on 19-bus unbalanced radial distribution networks. The results indicate the power loss and voltage profile has improved significantly by simultaneous optimizing the capacitor and DG location.