Distributed State Estimation of Multi-region Power System based on Consensus Theory

Xia, Shiwei; Zhang, Qian; Jing, Jiangping; Ding, Zhaohao; Jiang, Yu; Chen, Bing; Wu, Haiwei

doi:10.3390/en12050900

Cited by 14 publications

(4 citation statements)

References 24 publications

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“…1. Topology of the IEEE 14 bus system IEEE 118 bus system is not provided here but it should be mentioned that, the topology of distributed IEEE 118 bus system is adopted from [18]. The objective value for IEEE 118 bus system is 102.7758.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Optimal partitioning in distributed state estimation considering a modified convergence criterion

Asefi¹,

Gryazina²,

Leite³

2021

Preprint

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Distributed state estimation (DSE) is considered as a more robust and reliable alternative for centralized state estimation (CSE) in power system. Especially, taking into account the future power grid, so called smart grid in which bi-directional transfer of energy and information happens, and renewable energy sources with huge indeterminacy are applied more than before. Combining the mentioned features and complexity of the power network, there is a high probability that CSE face problems such as communication bottleneck or security/reliability issues. So, DSE has the potential to be considered as a solution to solve the mentioned issues. In this paper, first, a modified convergence criterion is proposed and has been tested for different approaches of DSE problem, considering the most important factors such as iteration number, convergence rate, and data needed to be transferred to/from each area. Then, an optimal partitioning technique has been implemented for clustering the system into different areas. Besides the detailed analysis and comparison of recent DSE methods, the proposed partitioning method's effectiveness has been shown in this paper.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Optimal partitioning in distributed state estimation considering a modified convergence criterion

Asefi¹,

Gryazina²,

Leite³

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…However, this method detects modified data and is not able The SE process is carried out using two systems as follows: (i) Centralized SE system, and (ii) distributed SE system. The major problems involved in the centralized SE system are high computational overhead and high complexity burdens for the control center [25]. To resolve all problems existing in the centralized SE system, the distributed SE system was introduced.…”

Section: Related Work On Fdi Attack Detectionmentioning

confidence: 99%

T2S2G: A Novel Two-Tier Secure Smart Grid Architecture to Protect Network Measurements

Aziz

Jin²,

Abdulqadder³

et al. 2019

Energies

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False data injection (FDI) attacks are a major security threat to smart grid (SG) communication systems. In FDI attacks, the attacker has the ability of modifying the measurements transmitted by smart grid entities such as smart meters, buses, etc. Many solutions have been proposed to mitigate FDI attacks in the SG. However, most of these solutions rely on centralized state estimation (SE), which is computationally expensive. To engulf this problem in FDI attack detection and to improve security of SGs, this paper proposes novel two-tier secure smart grid (T2S2G) architecture with distributed SE. In T2S2G, measurement collection and SE are involved in first tier while compromised meter detection is involved in second tier. Initially the overall SG system is divided into four sections by the weighted quad tree (WQT) method. Each section is provided with an aggregator, which is responsible to perform SE. Measurements from power grids are collected by remote terminal units (RTUs) and encrypted using a parallel enhanced elliptic curve cryptography (PEECC) algorithm. Then the measurements are transmitted to the corresponding aggregator. Upon collected measurements, aggregator estimates state using the amended particle swarm optimization (APSO) algorithm in a distributed manner. To verify authenticity of aggregators, each aggregator is authenticated by a logical schedule based authentication (LSA) scheme at the control server (CS). In the CS, fuzzy with a neural network (FNN) algorithm is employed for measurements classification. Our proposed T2S2G shows promising results in the following performance metrics: Estimation error, number of protected measurements, detection probability, successful detection rate, and detection delay.

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“…The communication network and the physical power grid have formed a strong coupling closed-loop system. The events that affect the performance of the communication network, such as data loss, transmission delay (Pall et al, 2016;Xia et al, 2019a,b), channel interruption, and physical faults of communication equipment (Li et al, 2019), will directly or indirectly affect the situation awareness (Xi et al, 2019;Xia et al, 2019c;Xiao et al, 2019) and control command's execution of the physical power grid, resulting in protection's malfunction, and in serious cases, it will cause cascading failures, such as the blackout in the United States and Canada in 2003 and the blackout in Ukraine in 2015. Consequently, more attention is paid to the interaction between the physical power grid and the power communication network in the research of CPPS.…”

Section: Introductionmentioning

confidence: 99%

Review of Modeling and Simulation Methods for Cyber Physical Power System

et al. 2021

Self Cite

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With the development of informatization and intellectualization technology, the power system has become the cyber-physical power system (CPPS) with deep integration of the cyber side and the physical side. As the support system of smart grids with new forms and features, the CPPS considers the coupling relationship between the communication network and the physical power grid, and is a research hotspot in the field of smart grids. This paper provides an overview of the CPPS framework and describes the interaction between the communication network and the physical power grid. Then the mainstream modeling and simulation methods of CPPS are summarized, and the advantages and disadvantages of each method are pointed out. In the end, the paper looks forward to the possible research directions of CPPS in the future. The article provides researchers with different perspectives on the dynamic model and simulation methods of CPPS.

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Distributed State Estimation of Multi-region Power System based on Consensus Theory

Cited by 14 publications

References 24 publications

Optimal partitioning in distributed state estimation considering a modified convergence criterion

Optimal partitioning in distributed state estimation considering a modified convergence criterion

T2S2G: A Novel Two-Tier Secure Smart Grid Architecture to Protect Network Measurements

Review of Modeling and Simulation Methods for Cyber Physical Power System

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