Distribution system state estimation-A step towards smart grid

Ahmad, Fiaz; Rasool, Akhtar; Özsoy, Emre; Rajasekar, S.; Şabanoviç, Asif; Elitaş, Meltem

doi:10.1016/j.rser.2017.06.071

Cited by 143 publications

(103 citation statements)

References 122 publications

(217 reference statements)

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“…A solution to this problem is to deploy a wide area measurement system such as Advanced Measurement Infrastructure (AMI), supported by many newly installed smart meters. Despite the various methods proposed [23,24], due to the limited number of measurements downstream from the substations, only a limited number of utility companies have been implemented the state estimation [23]. This means along with growing penetration of DGs, more and more measurement devices should be installed in the network to efficiently deploy state estimation.…”

Section: Solutions For Wide Area Monitoringmentioning

confidence: 99%

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

et al. 2019

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In order to systematically shift existing control and management paradigms in distribution systems to new interoperable communication supported schemes in smart grids, we need to map newly developed use cases to standard reference models like Smart Grid Architecture Model (SGAM). From the other side, any new use cases should be tested and validated ex-ante before being deployed in the real-world system. Considering various types of actors in smart grids, use cases are usually tested using co-simulation platforms. Currently, there is no efficient co-simulation platform which supports interoperability analysis based on SGAM. In this paper, we present our developed test platform which offers a support to design new use cases based on SGAM. We used this platform to develop a new scheme for wide area monitoring of existing distribution systems under growing penetration of Photovoltaic production. Off-the-shelf solutions of state estimation for wide area monitoring are either used for passive distribution grids or applied to the active networks with wide measurement of distributed generators. Our proposed distribution state estimation algorithm does not require wide area measurements and relies on the data provided by a PV simulator we developed. This practical scheme is tested experimentally on a realistic urban distribution grid. The monitoring results shows a very low error rate of about 1 % by using our PV simulator under high penetration of PV with about 30 % error of load forecast. Using our SGAM-based platform, we could propose and examine an Internet-of-Things-based infrastructure to deploy the use case.

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Section: Solutions For Wide Area Monitoringmentioning

confidence: 99%

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

et al. 2019

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“…SE is a significant function in modern SGs that contributes to the management and control of operations of electrical transmissions [23,24]. Typically, the system state is defined as the minimum set of state variables that are used to define the entire power system through network topology, impedance parameters, etc.…”

Section: State Estimation In Sgmentioning

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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“…In addition to providing efficient data access, an SG must consider innovative energy management with high reliability. Therefore, some new SG frameworks have introduced SCADA to carry out the functions of effective monitoring and status assessment by using various types of equipment and sensors [30]. The advantage of SCADA is its supervisory control and data collection for commonly used livelihood infrastructure and industrial systems such as hydraulic systems, power generation systems.…”

Section: Smart Grid (Sg)mentioning

confidence: 99%

Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches

Chen

Huang

2019

Inventions

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This paper introduces an information security threat modeling (ISTM) scheme, which leverages the strengths of software engineering and risk management approaches, called I-SERM. The proposed I-SERM scheme effectively and efficiently prioritizes information security threats for IT systems that utilize a large number of sensors, such as Internet of Things (IoT)-based energy systems. I-SERM operations include determining functional components, identifying associated threat types, analyzing threat items, and prioritizing key threats with the use of software engineering tools such as product flow diagrams, use case diagrams, and data flow diagrams. By simultaneously referring to a proposed STRIDE+p matrix and a defined threat breakdown structure with reference score (TBS+r) scheme, the I-SERM approach enables systematic ISTM. To demonstrate the usability of I-SERM, this study presents a practical case aimed at electricity load balancing on a smart grid. In brief, this study indicates a substantive research direction that combines the advantages of software engineering and risk management into a systematic ISTM process. In addition, the demonstration of I-SERM in practice provides a valuable and practical reference for I-SERM application, and contributes to research in the field of information security designs for IoT-based Energy Internet systems. Inventions 2019, 4, 53 2 of 22ISTs, and taking the considerable remedial actions required are important steps that should be taken based on both theoretical and pragmatic consideration.The IoT has become a mainstream of ICT-based technology enabling smarter applications in the fields of facility monitoring and process management (i.e., Industry 4.0), medical areas, etc. IoT technology also makes possible the construction of smart power systems with intelligent energy management applications. Pan et al. [1] designed and implemented an IoT framework for smart energy functions in buildings. Marinakis and Doukas [2] also emphasized the enhancement of IoT-enabled intelligent energy management in buildings. In addition, Ejaz et al. [3] discussed the issue of how to adopt IoT technology to provide efficient energy management in smart cities. Noor-A-Rahim et al. [4] proposed an IoT-based framework to provide reliable communications between renewable energy facilities, remote IoT components, and control centers. These articles indicate that complex IoT-supported systems like smart buildings or cities, with many factors affecting the total energy consumption in different energy application scenarios, have been the focus of much Energy Internet research.Electricity is undoubtedly an indispensable form of energy for modern society. With the trend of rapid urbanization, people have become highly dependent on their use of electricity. As a result, the stability and reliability of the power supply plays a critical role in the operation of modern power systems. In addition to relying on the effective operation of power equipment, an ICT-supported infrastructure platform capable of superviso...

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Distribution system state estimation-A step towards smart grid

Cited by 143 publications

References 122 publications

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

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

Determining Information Security Threats for an IoT-Based Energy Internet by Adopting Software Engineering and Risk Management Approaches

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