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Relevant bibliographies by topics / PMU placement problem

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Academic literature on the topic 'PMU placement problem'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "PMU placement problem"

1

Brueni, Dennis J., and Lenwood S. Heath. "The PMU Placement Problem." SIAM Journal on Discrete Mathematics 19, no. 3 (2005): 744–61. http://dx.doi.org/10.1137/s0895480103432556.

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Kolosok, I. N., E. S. Korkina, and A. M. Glazunova. "PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation." International Journal of Energy Optimization and Engineering 3, no. 1 (2014): 28–64. http://dx.doi.org/10.4018/ijeoe.2014010103.

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Creation of satellite communication systems gave rise to a new generation of measurement equipment – Phasor Measurement Unit (PMU). Integrated into the measurement system WAMS, the PMU sensors provide a real picture of state of energy power system (EPS). The issues of PMU placement when solving the problem of EPS state estimation (SE) are discussed in many papers. PMU placement is a complex combinatorial problem, and there is not any analytical function to optimize its variables. Therefore, this problem is often solved by the heuristic optimization methods. Depending on the chosen set of senso

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3

Wang, Zhong-Jie, Shu-Ying Yuan, Xuan Zhao, and Cheng-Chao Lu. "Differential evolution-based optimal placement of phase measurement unit considering measurement redundancy." International Journal of Modeling, Simulation, and Scientific Computing 06, no. 01 (2015): 1550016. http://dx.doi.org/10.1142/s1793962315500166.

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Phase measurement unit (PMU) is the key equipment for electric power system, which has been used to monitor and control power grid. But it is too expensive to deploy on each bus. So, we need to investigate how to deploy PMU to satisfy our observation requirements with minimum PMU numbers. This problem is called the optimal PMU placement (OPP). In this paper, we employ differential evolution (DE) algorithm to solve the OPP problem. Our optimization target is to make the power grid completely observable with maximum redundancy and minimum number of PMU. The proposed method is tested on IEEE 14-b

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Khalid, K., A. A. Ibrahim, N. A. M. Kamari, and M. H. M. Zaman. "An optimal placement of phasor measurement unit using new sensitivity indices." Bulletin of Electrical Engineering and Informatics 10, no. 1 (2021): 31–38. http://dx.doi.org/10.11591/eei.v10i1.2499.

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This paper presents an alternative approach to solve an optimal phasor measurement unit (PMU) placement by introducing two new sensitivity indices. The indices are constructed from the information measured from PMUs such as voltage magnitude and angle. These two parameters are essential for power system stability assessment and control. Therefore, fault analysis is carried out to obtain the voltage magnitude and angle deviations at all buses in order to construct the indices. An exhaustive search method is used to solve the linear integer programming problem where all possible combinations of

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Baba, Maveeya, Nursyarizal B. M. Nor, Muhammad Aman Sheikh, et al. "Optimization of Phasor Measurement Unit Placement Using Several Proposed Case Factors for Power Network Monitoring." Energies 14, no. 18 (2021): 5596. http://dx.doi.org/10.3390/en14185596.

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Recent developments in electrical power systems are concerned not only with static power flow control but also with their control during dynamic processes. Smart Grids came into being when it was noticed that the traditional electrical power system structure was lacking in reliability, power flow control, and consistency in the monitoring of phasor quantities. The Phasor Measurement Unit (PMU) is one of the main critical factors for Smart Grid (SG) operation. It has the ability to provide real-time synchronized measurement of phasor quantities with the help of a Global Positioning System (GPS)

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Khokhlov, Mikhail, and Olga Pozdnyakova. "The impact of system nonlinearities in the problem of optimal PMU placement for power system state estimation." E3S Web of Conferences 216 (2020): 01041. http://dx.doi.org/10.1051/e3sconf/202021601041.

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In PMU-based state estimation, a linear measurement model with phasors of both state variables and measurements expressed in rectangular coordinates has proven efficiency. The rectangular coordinate formulation is also used in optimal PMU placement problem aimed at providing the power system state estimation with the most informative measurements. In this case, it is assumed that the linearity of the measurement model ensures the optimality of the found placement of PMUs for any steady-state operating condition of the power system. The results presented in this paper show that this is not the

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Shafiullah, Md, M. Abido, Md Hossain, and A. Mantawy. "An Improved OPP Problem Formulation for Distribution Grid Observability." Energies 11, no. 11 (2018): 3069. http://dx.doi.org/10.3390/en11113069.

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Phasor measurement units (PMUs) are becoming popular and populating the power system grids rapidly due to their wide range of benefits and applications. This research paper proposes a comprehensive, effective, and revised formulation of the optimal PMU placement (OPP) problem with a view to minimizing the required number of PMU and ensuring the maximum number of measurement redundancy subjected to the full observability of the distribution grids. The proposed formulation also incorporates the presence of passive measurements/zero injection buses (ZIB) and the channel availability of the instal

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Liao, Chung-Shou, Tsung-Jung Hsieh, Xian-Chang Guo, Jian-Hong Liu, and Chia-Chi Chu. "Hybrid search for the optimal PMU placement problem on a power grid." European Journal of Operational Research 243, no. 3 (2015): 985–94. http://dx.doi.org/10.1016/j.ejor.2014.12.047.

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Wu, Zhi, Xiao Du, Wei Gu, Ping Ling, Jinsong Liu, and Chen Fang. "Optimal Micro-PMU Placement Using Mutual Information Theory in Distribution Networks." Energies 11, no. 7 (2018): 1917. http://dx.doi.org/10.3390/en11071917.

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Micro-phasor measurement unit (μPMU) is under fast development and becoming more and more important for application in future distribution networks. It is unrealistic and unaffordable to place all buses with μPMUs because of the high costs, leading to the necessity of determining optimal placement with minimal numbers of μPMUs in the distribution system. An optimal μPMU placement (OPP) based on the information entropy evaluation and node selection strategy (IENS) using greedy algorithm is presented in this paper. The uncertainties of distributed generations (DGs) and pseudo measurements are ta

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Shafiullah, Md, Md Ismail Hossain, M. A. Abido, Taher Abdel-Fattah, and A. H. Mantawy. "A modified optimal PMU placement problem formulation considering channel limits under various contingencies." Measurement 135 (March 2019): 875–85. http://dx.doi.org/10.1016/j.measurement.2018.12.039.

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Dissertations / Theses on the topic "PMU placement problem"

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Altman, James Ross. "A Practical Comprehensive Approach to PMU Placement for Full Observability." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31200.

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In recent years, the placement of phasor measurement units (PMUs) in electric transmission systems has gained much attention. Engineers and mathematicians have developed a variety of algorithms to determine the best locations for PMU installation. But often these placement algorithms are not practical for real systems and do not cover the whole process. This thesis presents a strategy that is practical and addresses three important topics: system preparation, placement algorithm, and installation scheduling. To be practical, a PMU strategy should strive for full observability, work well wi

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Book chapters on the topic "PMU placement problem"

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Recioui, Abdelmadjid. "Application of Teaching Learning-Based Optimization to the Optimal Placement of Phasor Measurement Units." In Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch018.

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In recent years, the placement of phasor measurement units (PMUs) in electric transmission systems has gained much attention. This chapter presents a binary teaching learning based optimization (BTLBO) algorithm for the optimal placement of phasor measurement units (PMUs). The optimal PMU placement problem is formulated to minimize the number of PMUs installation subject to full network observability at the power system buses. The efficiency of the proposed method is verified by the simulation results of IEEE14-bus, 30-bus, 57-bus-118 bus systems, respectively. The results show that the whole system can be observable with installing PMUs on less than 25% of system buses. For verification of our proposed method, the results are compared with some newly reported methods which show the method as a novel effective solution to obtain system measurements with the least number of phasor measurement units.

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Prakash, Tapan, Vinay Pratap Singh, and Soumya Ranjan Mohanty. "A Novel Binary Whale Optimization Algorithm-Based Optimal Placement of Phasor Measurement Units." In Handbook of Research on Power and Energy System Optimization. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3935-3.ch004.

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Wide-area measurement system (WAMS) is an important part of present power system structure as it provides real-time synchronized measurements of the system with the aid of phasor measurement units (PMUs). Due to economic considerations, PMUs should be installed at optimal locations. The optimal placement of PMUs (OPP) is a problem of optimally placing PMUs at strategic locations maintaining the full observability of the system. In this chapter, a novel binary whale optimization algorithm (BWOA) is applied to solve OPP problem. The maximization of measurement redundancy is considered in the objective function. The proposed algorithm is examined on five different test systems operating under normal operating conditions with or without inclusion of zero-injection buses (ZIBs) and compared with the reports available in literature. The results show the effectiveness of the proposed algorithm in solving OPPP.

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Conference papers on the topic "PMU placement problem"

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Bo Wang, Dichen Liu, and Li Xiong. "Advance ACO system in optimizing power system PMU placement problem." In 2009 IEEE 6th International Power Electronics and Motion Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/ipemc.2009.5157814.

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Wang, Bo, Dichen Liu, and Xiong Li. "An Improved Ant Colony System in Optimizing Power System PMU Placement Problem." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918138.

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Manousakis, N. M., G. N. Korres, and P. S. Georgilakis. "A detailed bibliographic analysis of optimal PMU placement problem in conventional and smart grids." In MedPower 2014. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1655.

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Chung-Shou Liao, Tsung-Jung Hsieh, Xian-Chang Guo, Jian-Hong Liu, and Chia-Chi Chu. "Applying power domination with hybrid search to optimal PMU placement problems." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672844.

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