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Journal articles on the topic 'Reactive Power Problem'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Su, Ai Ning, Hui Qiong Deng, and Tian Wei Xing. "Power System Reactive Power Optimization Based on Improved Genetic Agorithm." Advanced Materials Research 614-615 (December 2012): 1361–66. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1361.

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Reactive power optimization is an effective method for improving the electricity quality and reducing the power loss in power system, and it is a mixed nonlinear optimization problem, so the optimization process becomes very complicated. Genetic algorithm is a kind of adaptive global optimization search algorithm based on simulating biological genetic in the natural environment and evolutionary processes, can be used to solve complex optimization problems such as reactive power optimization. Genetic algorithm is used to solve reactive power optimization problem in this study, improved the basi

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2

Wang, Guo You, Xi Lin Zhang, Yu Shi, Yang Liu, Cheng Min Wang, and Tao Yi. "Reactive Power Optimization Problem Research Based on Node-Voltage-Based and Branch-Current-Based Hybrid Electric Power Network Equations." Advanced Materials Research 614-615 (December 2012): 751–60. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.751.

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The electric power system is a specific example among various networks in nature and human society, in which the network flow models and arithmetic can be applied. The node-voltage-based and branch-current-based hybrid electric power network equations are established in this paper, and the reactive power optimization problem is modeled based on the established network equations. It is respectively solved while the reactive power optimization problem is decomposed as two sub-problems, among which a sub-problem is described by quadric minimum cost flow model and another one is expressed by a lin

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3

Lenin, K. "COALESCED ALGORITHM FOR SOLVING REACTIVE POWER PROBLEM." International Journal of Research -GRANTHAALAYAH 5, no. 4 (2017): 1–11. http://dx.doi.org/10.29121/granthaalayah.v5.i4.2017.1789.

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This paper combines Parallel Chaos Optimization Algorithm with Outlook Algorithm (PO) to solve optimal reactive power problem. The algorithm is organized in dual phases. The first phase uses parallel chaos optimization grounded on tent map for global exploration, while outlook algorithm is involved in the second phase for local exploration. The projected PO algorithm has been tested in standard IEEE 57,118 bus test systems and simulation results show clearly the improved performance of the proposed PO algorithm in declining the real power loss when compared to other reported standard algorithm

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Marengo, E. A., A. J. Devaney, and F. K. Gruber. "Inverse Source Problem With Reactive Power Constraint." IEEE Transactions on Antennas and Propagation 52, no. 6 (2004): 1586–95. http://dx.doi.org/10.1109/tap.2004.829408.

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AbdElhafez, Ahmed A., Saud H. Alruways, Yazeed A. Alsaif, Mutlaq F. Althobaiti, Abdulmohsen B. AlOtaibi, and Naif A. Alotaibi. "Reactive Power Problem and Solutions: An Overview." Journal of Power and Energy Engineering 05, no. 05 (2017): 40–54. http://dx.doi.org/10.4236/jpee.2017.55004.

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Dr.K.Lenin. "COALESCED ALGORITHM FOR SOLVING REACTIVE POWER PROBLEM." International Journal of Research - Granthaalayah 5, no. 4 (2017): 1–11. https://doi.org/10.5281/zenodo.569974.

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This paper combines Parallel Chaos Optimization Algorithm with Outlook Algorithm (PO) to solve optimal reactive power problem. The algorithm is organized in dual phases. The first phase uses parallel chaos optimization grounded on tent map for global exploration, while outlook algorithm is involved in the second phase for local exploration. The projected PO algorithm has been tested in standard IEEE 57,118 bus test systems and simulation results show clearly the improved performance of the proposed PO algorithm in declining the real power loss when compared to other reported standard algorithm

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7

Rahmouni, Abdelkader. "Impact of static reactive power compensator (SVC) on the power grid." WSEAS TRANSACTIONS ON ELECTRONICS 11 (June 11, 2020): 96–104. http://dx.doi.org/10.37394/232017.2020.11.12.

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The work presented in this paper is a contribution to the problem of controlling the reactive powers and the voltages in an electrical network. Among these control tools, the static reactive power compensator (SVC) has been chosen because of its simplicity of control. The SVC is among the FACTS 'Alternative Flexible Current Transmission Systems' devices that help to deal with problems encountered in the operation of electrical networks either in the distribution side or in the transport side. In this work, the SVC is used to control the reactive power and the voltage in an electric power trans

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Zhang, Shun Hua. "Research for Wind Power System Reactive Power Optimization Based on Improved Artificial Fish Swarm Algorithm." Applied Mechanics and Materials 596 (July 2014): 241–44. http://dx.doi.org/10.4028/www.scientific.net/amm.596.241.

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Wind power system reactive power optimization problem is a very complicated nonlinear programming problem, using the traditional reactive power optimization algorithm such as nonlinear programming method, the genetic method, particle swarm algorithm, etc; it's easy to have a slow convergence speed, into a local optimal solution of problem. To solve these problems, we improve algorithm accordingly. According to the actual situation of wind power system, adjust the parameters, especially the number of artificial fish and vision for the dynamic testing, the selection, crossover and mutation in th

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9

Okon, Tomasz, and Kazimierz Wilkosz. "Analysis of the Influence of Nodal Reactive Powers on Voltages in a Power System." Energies 16, no. 4 (2023): 1567. http://dx.doi.org/10.3390/en16041567.

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The paper deals with finding power system nodes where reactive powers have the greatest influence on system voltages. The problem to be solved is important in reactive power planning. Its proper solution indicates in which nodes new sources of reactive power should be installed in order to achieve the assumed goals in the aforementioned planning. So far, the problem formulated earlier has not been satisfactorily resolved. The paper presents an original method, which, based on the entire history of the system operation states, allows a solution to the problem mentioned above to be found. The pr

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10

Zivzivadze, Omar, and David Japaridze. "Optimal Rescheduling of the Additional Reactive Power Source Selected in a Backbone Network to a Distribution Network." Works of Georgian Technical University, no. 3(521) (September 29, 2021): 123–29. http://dx.doi.org/10.36073/1512-0996-2021-3-123-129.

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An additional (generation) source of reactive power may be required in a backbone network node (𝑈௡ ≥ 220 𝑘𝑣) which has a heavy reactive load. When solving this problem, in a technical-economic sense, it is advisable to place this additional source of reactive power not in the mentioned node of a backbone network, but in the nodes of a distribution network (𝑈௡ ≤ 110 𝑘𝑣) connected to this node. This problem specifically involves: optimal rescheduling of total power of the additional reactive power source selected according to a voltage criterion in a backbone network node between the distributio

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11

Dao, Minh Trung, and Ngoc Dieu Vo. "Temperature-dependent based optimal reactive power dispatch by chaotic equilibrium optimization algorithm." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 2 (2025): 698. https://doi.org/10.11591/ijeecs.v38.i2.pp698-712.

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The optimal reactive power dispatch (ORPD) problem is considered as an important aspect in power system operation of the reactive power, which is vital to maintain network voltage within desirable limit for system reliability. In conventional ORPD problem, the resistance of components in power systems is considered to be independent to their temperature variations. Actually, there is a correlation between the branch resistance and temperature, thus the temperature should be taken into account when performing power flow analysis to improve the accuracy in the calculation of the power flow and p

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Minh, Trung Dao Ngoc Dieu Vo. "Temperature-dependent based optimal reactive power dispatch by chaotic equilibrium optimization algorithm." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 2 (2025): 698–712. https://doi.org/10.11591/ijeecs.v38.i2.pp698-712.

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The optimal reactive power dispatch (ORPD) problem is considered as an important aspect in power system operation of the reactive power, which is vital to maintain network voltage within desirable limit for system reliability. In conventional ORPD problem, the resistance of components in power systems is considered to be independent to their temperature variations. Actually, there is a correlation between the branch resistance and temperature, thus the temperature should be taken into account when performing power flow analysis to improve the accuracy in the calculation of the power flow and p

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13

T., Hanumesh, and Sudarshana Reddy H.R. "Optimal Power System Planning with Renewable DGs with Reactive Power Consideration." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 2 (2018): 750. http://dx.doi.org/10.11591/ijpeds.v9.i2.pp750-756.

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<p>This paper analyses the optimal power system planning with DGs used as real and reactive power compensator. Recently planning of DG placement reactive power compensation are the major problems in distribution system. As the requirement in the power is more the DG placement becomes important. When planned to make the DG placement, cost analysis becomes as a major concern. And if the DGs operate as reactive power compensator it is most helpful in power quality maintenance. So, this paper deals with the optimal power system planning with renewable DGs which can be used as a reactive powe

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Lenin, K. "Meleagris Gallopavo Algorithmfor Solving Optimal Reactive Power Problem." International Journal of Applied Power Engineering 7, no. 2 (2018): 99–110. https://doi.org/10.11591/ijape.v7.i2.pp99-110.

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In this paper, Meleagris Gallopavo Algorithm (MGA) is proposed for solving optimal reactive power problem. As a group-mate Meleagris gallopavo follow their poultry to explore food, at the same time it prevent the same ones to eat their own food. Always the overriding individuals have the lead to grab more food and Meleagris gallopavo would arbitrarily pinch the high-quality food which has been already found by other Meleagris gallopavo. In the region of the mother Meleagris gallopavo, Poults always search for food. In the projected MGA additional parameters are eliminated, in order to upsurge

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15

Song, Jiayin, Chao Lu, Qiang Ma, et al. "Distributed Integrated Synthetic Adaptive Multi-Objective Reactive Power Optimization." Symmetry 14, no. 6 (2022): 1275. http://dx.doi.org/10.3390/sym14061275.

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Reactive power is the core problem of voltage stability and economical operation in power systems. Aiming at the problem that multi-objective normalization reactive power optimization function is dependent on weight, an integrated synthesis of adaptive multi-objective particle swarm optimization (ISAMOPSO) is proposed to achieve weight adaptive. Through seven test functions and three algorithm comparison experiments, it is proved that the ISAMOPSO algorithm has stronger global search capability and better convergence. Considering the optimal access position and capacity of distributed generati

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16

Kalinchyk, Vasyl, Vitaliy Pobigaylo, Vitaliy Kalinchyk, and Viktor Skosyrev. "Reactive power control." Bulletin of NTU "KhPI". Series: Problems of Electrical Machines and Apparatus Perfection. The Theory and Practice, no. 2 (6) (December 9, 2021): 36–39. http://dx.doi.org/10.20998/2079-3944.2021.2.07.

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The article investigates the methods of control of reactive power modes. It is shown that ensuring the efficiency of electricity transmission and distribution is inseparable from setting and solving problems related to reducing electricity losses in networks. Moreover, one of the most effective ways to reduce electricity losses, as well as improve its quality at the terminals of electrical receivers is to compensate for reactive power, which is carried out using various compensating devices. It is shown that the control of the reactive power mode is carried out in accordance with the Methodolo

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17

Rugthaicharoencheep, Nattachote, Manat Boonthienthong, and Aroon Charlangsut. "Optimal Reactive Power Control in Power System with Particle Swarm Optimization Technique." Applied Mechanics and Materials 891 (May 2019): 246–52. http://dx.doi.org/10.4028/www.scientific.net/amm.891.246.

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This paper considers an application of Newton's optimal power flow to the solution of the secondary voltage/reactive power control in power system. This procedure is based on the sensitivity theory applied to the determination of zones for the secondary voltage/ reactive power control and corresponding reduced set of regulating sources, whose reactive outputs represent control variables in the optimal power flow program. PSO is applied to solve the OPF problem for optimal power flow the optimal power flow program output becomes a schedule to be used by operators in the process of OPF-PSO (Opti

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18

Lenin, Kanagasabai. "Chaotic Algorithm for Solving Optimal Reactive Power Problem." International Journal of Darshan Institute on Engineering Research & Emerging Technology 9, no. 1 (2020): 35–40. http://dx.doi.org/10.32692/ijdi-eret/9.1.2020.2006.

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19

Lenin, K., B. Ravindhranath Reddy, and M. Suryakalavathi. "Propagation Algorithm for Solving Optimal Reactive Power Problem." International Journal of Engineering Research in Africa 24 (June 2016): 103–11. http://dx.doi.org/10.4028/www.scientific.net/jera.24.103.

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This paper presents a nature inspired heuristic optimization algorithm based on lightning progression called the propagation algorithm (PA) to solve optimal reactive power problem. It is from the imitated natural phenomenon of lightning and the procedure of step frontrunner propagation using the theory of fast particles. Three particle kinds are established to distinguish the transition particles that produce the first step frontrunner population, the space particles that attempt to turn out to be the frontrunner, and the prime particle that epitomize the particle thrilled from best positioned

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Lenin, Kanagasabai. "Brachytrupes Algorithm for Solving Optimal Reactive Power Problem." Ingénierie des systèmes d information 24, no. 1 (2019): 43–46. http://dx.doi.org/10.18280/isi.240105.

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21

Liu, Zhi Jian, Zi Qi Zhao, and Bo Li. "Study on Application of STATCOM in Dynamic Reactive Power Compensation of Wind Farm Integration." Applied Mechanics and Materials 672-674 (October 2014): 255–61. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.255.

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As an increasing proportion of wind power in power grid, reactive power problem has become the most important problems in wind power integration. But as a result of wind power is a kind of intermittent energy sources, and put it into use in a large scale only just beginning. Many urgent problems which affect on system stability need to be resolved, such as voltage stability, reactive power compensation. This paper discussed the problems which around the reactive power compensation and angle stability issues while wind power integration. The reactive power compensation device named STATCOM inst

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22

Mahesh, V., and N. Kamaraj. "Reactive Power Pricing by Power Flow Tracing Method." Applied Mechanics and Materials 626 (August 2014): 202–7. http://dx.doi.org/10.4028/www.scientific.net/amm.626.202.

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Power flow tracing based reactive power pricing scheme is presented in this paper. A method is suggested to solve the problem of bidirectional flow of reactive power. The reactive power allocated by each generator to all the load buses is found and the corresponding cost to be paid by the load to generator is calculated. Super position principle based method is used to calculate the allocation of reactive power by the generators to the loads. Costs allocated for generators are found using quadratic cost function. The method is implemented on IEEE standard bus system and the results are found s

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Hemeida, Mahmoud, Tomonobu Senjyu, Salem Alkhalaf, Asmaa Fawzy, Mahrous Ahmed, and Dina Osheba. "Reactive Power Management Based Hybrid GAEO." Sustainability 14, no. 11 (2022): 6933. http://dx.doi.org/10.3390/su14116933.

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Electrical power networks are expanded regularly to meet growing energy requirements. Reactive power dispatch (RPD) optimization is a powerful tool to enhance a system’s efficiency, reliability, and security. RPD optimization is classified as a non-linear and non-convex problem. In this paper, the RPD optimization problem is solved based on novel hybrid genetic algorithms—equilibrium optimizer (GAEO) optimization algorithms. The control variables are determined in such a way that optimizes RPD and minimizes power losses. The efficiency of the proposed optimization algorithms is compared to oth

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Tang, Yong Hong, Lin Xu, Hong Fan, and Yu De Yang. "A Method for Online Reactive Power Optimization Problem in Regional Power Grid." Applied Mechanics and Materials 347-350 (August 2013): 1515–19. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1515.

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The automatic voltage control system in regional power grid is a significant measure to improve the system voltage and the power quality. It relies on online reactive power optimization. This paper proposes a novel algorithm aimed to build an online reactive power optimization model, which uses a hybrid algorithm combined the primal-dual interior point method and branch and bound method. Dealing with the discrete variables and continuous variables separately, the solution speed and accelerate convergence problem is improved rapidly. Finally, the efficiency of the proposed method is verified by

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Kanagasabai, Lenin. "Polar wolf optimization algorithm for solving optimal reactive power problem." International Journal of Applied Power Engineering 9, no. 2 (2020): 107~112. https://doi.org/10.5281/zenodo.7349673.

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This paper proposes polar wolf optimization (PWO) algorithm to solve the optimal reactive power problem. Proposed algorithm enthused from actions of polar wolves. Leader’s wolves which denoted as xα are accountable for taking judgment on hunting, resting place, time to awaken etc. second level is xβ those acts when there is need of substitute in first case. Then xγ be as final level of the wolves. In the modeling social hierarchy is developed to discover the most excellent solutions acquired so far. Then the encircling method is used to describe circle-shaped vicinity ar

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Vijai, Jairaj* Vishnu. J. "SSSC WITH POD CONTROLLER FOR REACTIVE POWER COMPENSATION IN INDUCTION GENERATORS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 309–15. https://doi.org/10.5281/zenodo.56977.

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One of the main problems faced by the Induction generator during fault is voltage sag. This phenomenon is really an undesirable one. The main aim is to introduce SSSC as a solution for this problem. It is connected in series for necessary compensation on its load side. To remove this problem it should be compensated by injecting a voltage in series so that it can provide necessary compensation. For that purpose we are using reactive power compensative devices (FACTS devices). Among the series connected FACTS devices SSSC is more preferred. It consists of a voltage source inverter (VSI). The se

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Dr.K.Lenin. "ANTELOPE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM." International Journal of Research - Granthaalayah 5, no. 8 (2017): 191–201. https://doi.org/10.5281/zenodo.886268.

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In this paper, Antelope Algorithm (AA) is proposed for solving optimal reactive power dispatch problem. A population of candidate solution move toward as a herd of Antelope out a sequence of jumps through the exploration space in order to find the most outstanding solution. The main idea of this algorithm is fairly different from the population based algorithms, as the individual solutions are stirred collectively in a herd-like approach. Projected Antelope Algorithm (AA) algorithm has been tested in standard IEEE 30 bus test system and simulation results show clearly about the superior perfor

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Dr.K.Lenin. "ENHANCED MINE BLAST ALGORITHM FOR SOLVING REACTIVE POWER PROBLEM." International Journal of Research - Granthaalayah 5, no. 9 (2017): 206–16. https://doi.org/10.5281/zenodo.1002646.

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In this paper Enhanced Mine Blast (EMB) algorithm which based on mine bomb explosion concept is proposed to solve optimal reactive power problem.The clue of the projected Enhanced Mine Blast (EMB) algorithm is based on the examination of a mine bomb explosion, in which the thrown pieces of shrapnel crash with other mine bombs near the explosion area resulting in their explosion. In this paper convergence speed has been enhanced. Proposed Enhanced Mine Blast (EMB) algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior

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Artemenko, M. Yu, Yu V. Kutafin, P. B. Fedorchenko, V. V. Chopyk, and I. A. Shapoval. "OVERCOMING THE THIRD HARMONIC PROBLEM IN THE THEORY OF ACTIVE FILTRATION OF THREE-PHASE THREE-WIRE POWER SUPPLY SYSTEMS." Praci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini 2025, no. 70 (2025): 84–92. https://doi.org/10.15407/publishing2025.70.084.

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In this paper the mechanism of occurrence and a quantitative assessment of the third harmonic effect in the instantane-ous active current vector of a three-phase power supply system with symmetrical sinusoidal source voltages in the pres-ence of line load asymmetry are elucidated. It is shown that additional filtering of the instantaneous reactive power pulsating component of the consumed three-phase current eliminates the problem of the third harmonic and fully corre-sponds to shunt active filtering by the integral orthogonal components of the unbalance power. A new method of shunt active fil

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Xie, Zhihua, Wenqi Wei, and Peng Jia. "Reactive power and voltage control based on reactive power compensation coefficient and sensitivity factor." Journal of Physics: Conference Series 2855, no. 1 (2024): 012007. http://dx.doi.org/10.1088/1742-6596/2855/1/012007.

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Abstract Aiming at the problems that the existing reactive power allocation methods do not take into account the specific operating state of each doubly-fed induction generator (DFIG) and the established optimization model has many variables and is complicated, this paper proposes to construct an optimization model based on reactive power compensation coefficient and sensitivity factor, to reduce the number of variables in the mathematical model and simplify the expression of the relationship between each key parameter, so the speed of the reactive power and voltage control are improved. In th

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Dr.K., Lenin. "POLAR PARTICLE SWARM OPTIMIZATION ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM." International Journal of Research - Granthaalayah 6, no. 6 (2018): 335–45. https://doi.org/10.5281/zenodo.1308976.

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This paper presents Polar Particle Swarm optimization (PPSO) algorithm for solving optimal reactive power problem. The standard Particle Swarm Optimization (PSO) algorithm is an innovative evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous best to optimize problems. In the proposed PPSO algorithm that enhances the behaviour of PSO and avoids the local minima problem by using a polar function to search for more points in the search space in order to evaluate the efficiency of proposed algorithm, it has been tested on IEEE 30 bus s

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Tudose, Andrei M., Irina I. Picioroaga, Dorian O. Sidea, and Constantin Bulac. "Solving Single- and Multi-Objective Optimal Reactive Power Dispatch Problems Using an Improved Salp Swarm Algorithm." Energies 14, no. 5 (2021): 1222. http://dx.doi.org/10.3390/en14051222.

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The optimal reactive power dispatch (ORPD) problem represents a fundamental concern in the efficient and reliable operation of power systems, based on the proper coordination of numerous devices. Therefore, the ORPD calculation is an elaborate nonlinear optimization problem that requires highly performing computational algorithms to identify the optimal solution. In this paper, the potential of metaheuristic methods is explored for solving complex optimization problems specific to power systems. In this regard, an improved salp swarm algorithm is proposed to solve the ORPD problem for the IEEE

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Li, Zheng Yuan, Gang Zhang, Chao Li, Wei Zheng, and Jing Jing Zheng. "Reactive Power Optimization Based on Immune Clonal Selection Algorithm." Advanced Materials Research 1030-1032 (September 2014): 1751–54. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1751.

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Based on the full understanding of the current status of the reactive power optimization study, we propose an improved type of immune algorithm to solve the reactive power optimization problem by introducing the immune clonal selection algorithm (ICSA) genetic manipulation, affinity of mature, cloning and memory mechanism, and use the appropriate operator to ensure that the algorithm can quickly converge to the global optimal solution to improve the efficiency of the algorithm solving and solution accuracy, avoiding the "curse of dimensionality" and precocious problems. ICSA algorithm is propo

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Sundaravazhuthi*, V., Dr A. Alli Rani, and M. Manoj Kumar. "Raise Voltage Stability Limit of a Power System using Reactive Power Compensation Technique." International Journal of Innovative Technology and Exploring Engineering 8, no. 12 (2019): 2931–34. http://dx.doi.org/10.35940/ijitee.k1752.1081219.

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In recent years, voltage stability problems have been increasing since power systems operate close to stability limits. The voltage stability problem of a power system is associated with a rapid voltage drop due to heavy system load and it occurs because of inadequate reactive power support at some critical bus. One of the serious consequences of the voltage stability is a system blackout, and this has received more attention in recent years. Accurate determination of stability limit and amount of reactive power injection to stabilize is important.This paper proposes to determine voltage stabi

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Dr.K., Lenin. "REDUCTION OF ACTIVE POWER LOSS BY IMPROVED TABU SEARCH ALGORITHM." International Journal of Research - Granthaalayah 6, no. 7 (2018): 1–9. https://doi.org/10.5281/zenodo.1321287.

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In this paper, an Improved Tabu Search (ITS) algorithm has been proposed to solve the optimal reactive power problem. In this work Tabu Search- has been hybridized with Simulated Annealing algorithm to solve the optimal reactive power problem. Hybridization of these two algorithms improves the exploration & exploitation capabilities during the search. Proposed Improved Tabu Search (ITS) algorithm has been tested in Standard IEEE 57,118 bus systems & real power loss has been comparatively reduced with voltage profiles are within the limits.

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GÜMÜŞ, Talha Enes, Selçuk EMİROĞLU, and Türker Fedai ÇAVUŞ. "REDUCING ACTIVE POWER LOSSES WITH OPTIMAL REACTIVE POWER DISPATCH IN 114 BUS NORTHWESTERN ANATOLIAN POWER SYSTEM." INTERNATIONAL REFEREED JOURNAL OF ENGINEERING AND SCIENCES, no. 18 (2022): 0. http://dx.doi.org/10.17366/uhmfd.2022.18.5.

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Aim: In this study, it has been proposed to solve the Optimal Reactive Power Dispatch (ORPD) problem with Genetic Algorithm (GA) in order to minimize the active power losses and voltage fluctuations in the 114 bus Northwestern Anatolian (NWA) power system. Method: The ORPD problem, which is modeled as a nonlinear optimization problem, has been solved by using GA. The ORPD problem has been applied to a large 114 bus power system in Northwestern Anatolia. By solving the ORPD problem, terminal voltages of generators and reactive power values of shunt compensators, which are optimal control variab

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Li, Yecheng, Pengcheng Guo, Wenbin Zhuang, et al. "A Dynamic Reactive Power Allocation Method for Sending-End Power System of the UHVDC Delivering Large Terminal of Renewable Energy." Mathematical Problems in Engineering 2023 (February 4, 2023): 1–12. http://dx.doi.org/10.1155/2023/9764844.

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Allocation of reactive power equipment can relieve the transient overvoltage, which is a big threat to the sending-end electric power system of ultrahigh-voltage direct current (UHVDC). However, the dynamic reactive power allocation mostly depends on the trial-and-error method, lacking in an optimal allocation method based on the quantitative evaluation index. To deal with the abovementioned problem, in this study, a dynamic reactive power optimal allocation method is proposed based on the reactive power compensation sensitivity. In detail, first, based on the existing transient overvoltage as

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38

Zeinalzadeh, Ashkan, Reza Ghorbani, and Ehsan Reihani. "Optimal Power Flow Problem with Energy Storage, Voltage and Reactive Power Control." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2014 (May 5, 2014): 204–10. http://dx.doi.org/10.5687/sss.2014.204.

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Muhammed Neda, Omar, and Alfian Ma'arif. "Chaotic Particle Swarm Optimization for Solving Reactive Power Optimization Problem." International Journal of Robotics and Control Systems 1, no. 4 (2022): 523–33. http://dx.doi.org/10.31763/ijrcs.v1i4.539.

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The losses in electrical power systems are a great problem. Multiple methods have been utilized to decrease power losses in transmission lines. The proper adjusting of reactive power resources is one way to minimize the losses in any power system. Reactive Power Optimization (RPO) problem is a nonlinear and complex optimization problem and contains equality and inequality constraints. The RPO is highly essential in the operation and control of power systems. Therefore, the study concentrates on the Optimal Load Flow calculation in solving RPO problems. The Simple Particle Swarm Optimization (P

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Lei, Lin, Yi Nan Ge, and Qin Yuan. "Improvement and Application of Genetic Algorithms in Reactive Power Optimization of Power Network." Advanced Materials Research 354-355 (October 2011): 1058–63. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.1058.

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Reactive power optimization that is optimized by Simple Genetic Algorithms has many limitations. According to the problem of reactive power optimization of high voltage system, the Simple Genetic Algorithms is improved. The improved algorithm is applied in reactive power optimization of IEEE-6 bus system, the results indicate that the improvement is effective and it can accelerate the convergence speed and enhance the ability of optimization.

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Zhao, Wen Qing, Li Wei Wang, Fei Fei Han, and De Wen Wang. "Reactive Power Optimization in Power System Based on Adaptive Particle Swarm Optimization." Advanced Materials Research 846-847 (November 2013): 1209–12. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1209.

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This paper summarizes the reactive power optimization of power system characteristics and requirements, proposed to target the active power loss of reactive power optimization mathematical model, And the traditional classical algorithm can not handle the limitations of discrete variables, using the adaptive particle swarm optimization algorithm to solve the problem of reactive power optimization. By testing on IEEE30 bus system simulation, comparing different algorithm optimization results show the effectiveness and superiority of APSO algorithm.

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Wadood, Abdul, Ejaz Ahmed, Sang Bong Rhee, and Babar Sattar Khan. "A Fractional-Order Archimedean Spiral Moth–Flame Optimization Strategy to Solve Optimal Power Flows." Fractal and Fractional 8, no. 4 (2024): 225. http://dx.doi.org/10.3390/fractalfract8040225.

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This research utilizes the innovative fractional-order Archimedean spiral moth–flame optimization (FO-AMFO) technique to address the issues of the optimal reactive power dispatch (ORPD) problem. The formulated fitness function aims to minimize power losses and determine the ideal flow of reactive power for the IEEE 30- and 57-bus test systems. The extensive functions of the fractional evolutionary computing strategy are utilized to address the minimization problem of ORPD. This involves determining the control variables, such as VAR compensators, bus voltages, and the tap setting of the transf

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Rahmouni, Abdelkader. "Impact of the hybrid reactive power compensator on the power grid used a fuzzy PI regulator." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 1 (2021): 170. http://dx.doi.org/10.11591/ijpeds.v12.i1.pp170-182.

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The work presented in this article is a contribution to the problem of controlling reactive powers and voltages in an electrical network. Among these control tools, the static reactive power compensator (SVC) was chosen because of its simplicity of control. SVC is one of the Alternative Flexible Current Transmission Systems (FACTS) devices which help to solve the problems encountered in the operation of electrical networks, either on the distribution side or on the transport side. To increase its compensation efficiency in the face of harmonic currents which cause voltage distortion, we have i

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Abdelkader, Rahmouni. "Impact of the hybrid reactive power compensator on the power grid used a fuzzy PI regulator." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 1 (2021): 170–82. https://doi.org/10.11591/ijpeds.v12.i1.pp170-182.

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The work presented in this article is a contribution to the problem of controlling reactive powers and voltages in an electrical network. Among these control tools, the static reactive power compensator (SVC) was chosen because of its simplicity of control. SVC is one of the alternative flexible current transmission systems (FACTS) devices which help to solve the problems encountered in the operation of electrical networks, either on the distribution side or on the transport side. To increase its compensation efficiency in the face of harmonic currents which cause voltage distortion, we have i

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Lenin, Kanagasabai. "Chaotic based Pteropus algorithm for solving optimal reactive power problem." International Journal of Advances in Applied Sciences (IJAAS) 9, no. 4 (2020): 265–69. https://doi.org/10.11591/ijaas.v9.i4.pp265-269.

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In this work, a Chaotic based Pteropus algorithm (CPA) has been proposed for solving optimal reactive power problem. Pteropus algorithm imitates deeds of the Pteropus. Normally Pteropus while flying it avoid obstacles by using sonar echoes, particularly utilize time delay. To the original Pteropus algorithm chaotic disturbance has been applied and the optimal capability of the algorithm has been improved in search of global solution. In order to augment the population diversity and prevent early convergence, adaptively chaotic disturbance is added at the time of stagnation. Furthermore, explor

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Kanagasabai, Lenin. "Enhanced wormhole optimizer algorithm for solving optimal reactive power problem." International Journal of Informatics and Communication Technology (IJ-ICT) 9, no. 1 (2020): 1–8. https://doi.org/10.11591/ijict.v9i1.pp1-8.

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In this paper Enhanced Wormhole Optimizer (EWO) algorithm is used to solve optimal reactive power problem. Proposed algorithm based on the Wormholes which exploits the exploration space. Between different universes objects are exchanged through white or black hole tunnels. Regardless of the inflation rate, through wormholes objects in all universes which possess high probability will shift to the most excellent universe. In the projected Enhanced Wormhole Optimizer (EWO) algorithm in order to avoid the solution to be get trapped into the local optimal solution Levy flight has been applied. Pro

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Kanagasabai, Lenin. "Solving optimal reactive power problem by hurricane search optimization algorithm." International Journal of Applied Power Engineering 10, no. 1 (2021): 26~29. https://doi.org/10.11591/ijape.v10.i1.pp26-29.

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In this paper proposed hurricane search optimization (HSO) algorithm is proposed to solve optimal reactive power problem. An upward motion of air is caused due to release of heat which creates a low-pressure zone and by the rotation of the earth that is set into spin. In this spiraling airflow when energy is high then hurricane is created. Projected HSO algorithm design is based on the examination of the horizontal wind structure in a hurricane and how the wind parcels the progression in the neighboring atmosphere. A mixture of wind models has been developed for past few years to Backtesting a

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Lenin, K., B. Ravindhranath Reddy, and M. Suryakalavathi. "Enhanced differential evolution algorithm for solving reactive power problem." International Journal of Advanced Computer Research 6, no. 26 (2016): 172–76. http://dx.doi.org/10.19101/ijacr.2016.625016.

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Lenin, K. "UNIQUE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM." International Journal of Research -GRANTHAALAYAH 5, no. 2 (2017): 122–34. http://dx.doi.org/10.29121/granthaalayah.v5.i2.2017.1712.

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In this paper, a new algorithm based on krill herd actions, named as Antarctic krill Herd Algorithm (AKHA) is proposed for solving optimal reactive power dispatch problem. The AKHA algorithm is based on behavior of krill individuals. The minimum distance of each individual krill from food and from uppermost density of the herd are deliberated as the foremost mission for the krill movement. Projected AKHA algorithm has been tested in standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss and volt

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Lenin, K. "ANTELOPE ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER DISPATCH PROBLEM." International Journal of Research -GRANTHAALAYAH 5, no. 8 (2017): 191–201. http://dx.doi.org/10.29121/granthaalayah.v5.i8.2017.2212.

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In this paper, Antelope Algorithm (AA) is proposed for solving optimal reactive power dispatch problem. A population of candidate solution move toward as a herd of Antelope out a sequence of jumps through the exploration space in order to find the most outstanding solution. The main idea of this algorithm is fairly different from the population based algorithms, as the individual solutions are stirred collectively in a herd-like approach. Projected Antelope Algorithm (AA) algorithm has been tested in standard IEEE 30 bus test system and simulation results show clearly about the superior perfor

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