Heuristic Optimization Approaches for Capacitor Sizing and
In both approaches, the models consider many load scenarios and aim to obtain better voltage profiles by minimizing voltage deviations and active power losses. We use two …
In both approaches, the models consider many load scenarios and aim to obtain better voltage profiles by minimizing voltage deviations and active power losses. We use two …
In , the Gravitational Search Algorithm (GSA) was proposed for optimal capacitor placement, and the suggested algorithm was compared with the Interior Point (IP) algorithm and Simulated Annealing (SA).
For the first model, the optimization algorithms identify the near-optimal positioning and sizes of fixed-size capacitors. Since the second model assumes variable-size capacitors, the algorithms also decide the tap positions for this case.
One of the first numerical methods used to solve optimal capacitor placement was based on dynamic programming . In , the Beale method, a modification of the simplex method, was used to solve the modeled quadratic problem. In [12, 13], the authors propose solutions based on a nonlinear programming approach.
We used five capacitors with minimum and maximum capacities ranging from 25 to 400 kvar to solve the first optimization model. The capacitor placements and sizes are determined by the algorithms SSA and DA. For all simulations, we used 30 search agents and 500 iterations as the maximum number of iterations.
Conclusions In this paper, capacitor placement and sizing problems are solved using two recently developed heuristic optimization algorithms: DA and SSA. The optimization algorithms based on DA and SSA are implemented on two models to determine the optimal locations and sizes of capacitors.
Among the 30 capacitor allocation scenarios, the lowest losses and costs are attained by allocating three capacitors with 600 kvar, as shown in Fig. 8. Variation in the costs against the number of capacitors: a normalized costs of capacitors and losses, b normalized total cost
In both approaches, the models consider many load scenarios and aim to obtain better voltage profiles by minimizing voltage deviations and active power losses. We use two …
DOI: 10.1109/ISEMC.2019.8825249 Corpus ID: 201846900; Decoupling Capacitor Selection Algorithm for PDN Based on Deep Reinforcement Learning @article{Zhang2019DecouplingCS, title={Decoupling Capacitor Selection Algorithm for PDN Based on Deep Reinforcement Learning}, author={Ling Zhang and Zhongyang Zhang and …
Optimal capacitor placement in distribution systems solved by the hybrid method of CODEQ (called HCODEQ method) is proposed in this work. The concepts of chaotic …
The capacitor voltage sorting algorithm is the key to affecting the simulation efficiency of the electromagnetic transient model of hybrid MMC in the unlocking mode. This article studies the basic principle of heap sorting and derives its time complexity. Based on this, a capacitor voltage sorting algorithm of hybrid MMC based on heap sorting ...
The results of this study indicate that the use of the genetic algorithm method can reduce power loss by 13,67% on the IEEE 118 Bus Systems. One way to reduce reactive power in a distribution system is to install a capacitor bank. Bank capacitors can increase the voltage profile on the system. optimal placement of bank capacitors can reduce costs incurred. in this study …
This article investigates the implementation of integrated evolutionary algorithms based for solving the capacitor placement optimisation problem with reduced annual operating cost. Differential evolution and pattern search (DE-PS) are used as meta-heuristic optimisation tools to solve optimal capacitor placement problem. The objective function ...
Optimal capacitor placement in distribution systems solved by the hybrid method of CODEQ (called HCODEQ method) is proposed in this work. The concepts of chaotic search, opposition-based learning, and quantum mechanics are used in the CODEQ method to overcome the drawback of parameters selection in the differential evolution (DE ...
In the proposed optimal capacitor placement method, the HS algorithm is applied as an optimization technique to determine the optimal location of the capacitors at the buses and the backward/forward sweep power flow is applied for computing the power loss. The objective function of the optimization problem takes into account the savings due to the …
In this paper, an optimization approach based on an arithmetic optimization algorithm (AOA) is proposed for specifying the optimal allocation of distribution generations/generators (DGs) and capacitor banks (CBs) in radial distribution systems. The …
In this paper, simultaneous approach for capacitor coordination is proposed by using the ABC and formulated as a combinatorial optimization. Main focus of this paper is to reduce the real …
This article investigates the implementation of integrated evolutionary algorithms based for solving the capacitor placement optimisation problem with reduced annual operating cost. Differential …
3Proposed capacitor voltage balancing sorting algorithm This section introduced a new capacitor voltage balancing sorting algorithm to reduce time complexity and switching frequency of power electronic devices. In Section 3.1, we proposed a low time complexity capacitor voltage balancing sorting method. In Section 3.2, we added the maintaining ...
A virtual capacitor-based control algorithm was proposed in [23] for reducing the reactive power sharing error; this algorithm simulates the characteristics of the paralleling capacitor at the DG ...
A fast algorithm based on the self-resonant frequency for decoupling capacitor (decap) selection is proposed and verified experimentally. The proposed algorithm has been compared with the genetic algorithm (GA). Results show that they both give quality and similar decoupling solutions, but the proposed algorithm is superior to the GA in ...
Abstract: This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling capacitor (decap) optimization in power distribution networks (PDNs), which is a highly …
In this paper, novel and efficient analytical closed-form expressions are proposed for the optimal allocation of multiple capacitors in distribution systems to maximize the total cost reduction (CR) while considering power losses.
A nondominated sorting genetic algorithm (NSGA II) is used to solve the capacitor placement problem. Fuzzy logic is used to determine the most candidate buses for capacitor placement. The proposed method is verified on two radial distribution systems.
low-power capacitor-splitting switching algorithm with minus energy was proposed. The capacitor-splitting & Hao Wang wanghao@fjut .cn 1 School of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China 123 Analog Integr Circ Sig Process (2017) 91:491–495 DOI 10.1007/s10470-017-0957-8 . method is to reduce the switching …
Due to the discrete nature of reactive compensation devices, optimal capacitor placement leads to a nonlinear programming problem with mixed (discrete and continuous) variables. It is solved with an iterative algorithm based on successive linearizations of the original nonlinear model.
This paper presents a genetic algorithm (GA) approach to search for optimal shunt capacitor location and size with harmonic consideration. The cost or fitness function is …
In this paper, simultaneous approach for capacitor coordination is proposed by using the ABC and formulated as a combinatorial optimization. Main focus of this paper is to reduce the real power losses while maintain all the constraint within permissible limit.
In this paper, an optimization approach based on an arithmetic optimization algorithm (AOA) is proposed for specifying the optimal allocation of distribution generations/generators (DGs) and capacitor banks (CBs) in radial distribution systems. The AOA is a new population-based meta-heuristic algorithm that is essentially based on using basic ...
The capacitors of MMC are all distributed in arm sub-modules, and the arm current charging and discharging will cause capacitor voltages imbalance. Voltage balance is the necessary guarantee for the normal operation of MMC. When NLM is adopted, sorting algorithm is widely applied in capacitor voltage equalization control. When the sub-module is ...
A nondominated sorting genetic algorithm (NSGA II) is used to solve the capacitor placement problem. Fuzzy logic is used to determine the most candidate buses for …
In this paper, novel and efficient analytical closed-form expressions are proposed for the optimal allocation of multiple capacitors in distribution systems to maximize the total …
In both approaches, the models consider many load scenarios and aim to obtain better voltage profiles by minimizing voltage deviations and active power losses. We use two recently developed heuristic algorithms called Salp Swarm Optimization algorithm (SSA) and Dragonfly algorithm (DA) to solve the proposed optimization models. We performed ...
Abstract: This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling capacitor (decap) optimization in power distribution networks (PDNs), which is a highly efficient approach to minimizing the number of decaps within an enormous search space.
Due to the discrete nature of reactive compensation devices, optimal capacitor placement leads to a nonlinear programming problem with mixed (discrete and continuous) variables. It is solved …
3Proposed capacitor voltage balancing sorting algorithm This section introduced a new capacitor voltage balancing sorting algorithm to reduce time complexity and switching frequency of power electronic devices. In Section 3.1, we proposed a low time complexity capacitor voltage balancing sorting method. In Section 3.2, we added the maintaining ...
This paper presents a genetic algorithm (GA) approach to search for optimal shunt capacitor location and size with harmonic consideration. The cost or fitness function is constrained by voltage and Harmonic Distortion Factor (HDF). Since GA is a stochastic approach, performances should be evaluated using statistical value. The performance will ...
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