Multi-area distributed three-phase state estimation for unbalanced active distribution networks

Chen, Sheng; Wei, Zhinong; Sun, Guoqiang; Liu, Ning; Sun, Yonghui; Zhu, Ying

doi:10.1007/s40565-016-0237-0

Cited by 24 publications

(8 citation statements)

References 36 publications

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“…Chusovitin et al [62] compared a three-phase model to a decoupled model in which SE is solved for each phase. Chen et al [63] used a three-phase DG model to represent unbalanced power injections, while Brinkmann et al [64] developed a generic method that supports the decision between using the single-and three-phase state estimator method, depending on the network topology and metering configuration. Blazic [65] proposed the decoupling of the gain matrix to consider specific characteristics of low-voltage distribution network.…”

Section: Grid Models In Dsse Practical Limitations Of Model Topologiesmentioning

confidence: 99%

“…As it was highlighted at the beginning of this section, the range of SE methods published in the literature is broad. Besides conventional solutions, large emphasis has been placed on the use of artificial intelligence: fuzzy logic [74,75], artificial neural network [76][77][78][79], particle swarm optimization [80,81], evolutionary algorithms [82], interior point optimization and brain storm optimization [83], biogeography based optimization [84], firefly algorithm [85], Kalman-filters [73,[86][87][88][89][90] and advanced techniques (forecastaided SE [50,73], multi-area SE [14,63,67,68,[91][92][93], and event triggered approaches [94]).…”

Section: Application Constraints Of the Algorithmsmentioning

confidence: 99%

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The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

et al. 2021

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Global trends such as the growing share of renewable energy sources in the generation mix, electrification, e-mobility, and the increasing number of prosumers reshape the electricity value chain, and distribution systems are necessarily affected. These systems were planned, developed, and operated as a passive structure for decades with low level of observability. Due to the increasing number of system states, real time operation planning and flexibility services are the key in transition to an active grid management. In this pathway, distribution system state estimation (DSSE) has a great potential, but the real demonstration of this technique is in an early stage, especially on low-voltage level. This paper focuses on the gap between theory and practice and summarizes the limits of low-voltage DSSE implementation. The literature and the main findings follow the general structure of a state estimation process (meter placement, bad data detection, observability, etc.) giving a more essential and traceable overview structure. Moreover, the paper provides a comprehensive mapping of the possible use-cases state estimation and evaluates 27 different experimental sites to conclude on the practical applicability aspects.

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Section: Grid Models In Dsse Practical Limitations Of Model Topologiesmentioning

confidence: 99%

Section: Application Constraints Of the Algorithmsmentioning

confidence: 99%

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

et al. 2021

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“…(2) Indirect connected that is power electronic converter interface with distribution system [35]. The photovoltaics generator is modelled as constant power model with converter interface [36,37]. The indirect connected DG's have internal controllable states and actual states that need to be monitored [38].…”

Section: Dg In Dssementioning

confidence: 99%

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

Bhattar

Pindoriya

Sharma

2021

IET cyber-phys. syst.

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The penetration of renewable energy sources (RES) in distribution systems has entailed heavy deployment of monitoring and control infrastructure in the distribution system. This deployment of sensors and communication infrastructure has led to the emergence of a modern grid with a complex cyber-physical network. On one hand, the cyber-physical system can play a pivotal role in coordination and control of distribution systems through distribution system state estimation (DSSE). On the other hand, the risk caused by cyber-attack has emerged as a major challenge for grid operation. The modelling aspects, namely DC loads, plug-in-vehicle and distributed generators (DGs) in DSSE and security aspects in cyber-physical distribution systems, are highlighted herein. This paper is divided into different sections emphasising on the problems and challenges associated with DSSE, cyber-attack focussing primarily on impact of false data injection (FDI) attack and co-simulation platform for investigation of vulnerability of cyber-physical systems. A comparative study among various DSSE and challenges namely, pseudo-measurement, time synchronisation and communication issues are discussed. The potential investigation of FDI and need for a co-simulation platform in distribution systems for risk analysis are also addressed. The opportunities and future research in the field of cyber-physical distribution systems are discussed in depth. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Some efforts have been made in recent years to develop the DSE method. The most commonly used method is the distributed multi-area state estimation as in [11]- [16]. In this type of methods, the entire power system is partitioned into several small areas.…”

Section: Introductionmentioning

confidence: 99%

Fully Distributed State Estimation for Power System with Information Propagation Algorithm

Cheng

Gao

et al. 2020

Journal of Modern Power Systems and Clean Energy

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In this paper, a new fully distributed state estimation (DSE) based on weighted least square (WLS) method and graph theory is proposed for power system. The proposed method is fully distributed so that the centralized facilities, e.g., supervisory control and data acquisition (SCADA) and centralized estimators, are not required. Also, different from the existing DSE methods, the proposed method is a bus-level DSE method, in which the power system is not required to be partitioned into several areas. In order to realize the proposed fully distributed DSE method, a novel information propagation algorithm is developed in this paper. This algorithm has great potential in future applications since it is useful to broadcast the local information of the nodes to the entire system in a fully distributed network. The proposed DSE method is compared with the conventional centralized state estimation method and existing multi-area DSE method in different models in this paper. The results show that the proposed method has better performance than the traditional methods.

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Multi-area distributed three-phase state estimation for unbalanced active distribution networks

Cited by 24 publications

References 36 publications

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

The Challenges of Low Voltage Distribution System State Estimation—An Application Oriented Review

A combined survey on distribution system state estimation and false data injection in cyber‐physical power distribution networks

Fully Distributed State Estimation for Power System with Information Propagation Algorithm

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