Bi-level mixed-integer linear programming algorithm for evaluating the impact of load-redistribution attacks on Volt-VAR optimization in high- and medium-voltage distribution systems

Shen, Zhijun; Liu, Mingbo; Xu, Lixin; Lu, Wentian

doi:10.1016/j.ijepes.2020.106683

Cited by 19 publications

(12 citation statements)

References 30 publications

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“…To simplify, we take the ES trading model with only ES station as an example and reconfigure the MP model (46) [31].…”

Section: • the Master Problem (Denoted As Mp)mentioning

confidence: 99%

Relaxation‐based bi‐lever reformulation and decomposition algorithm‐based collaborative optimization of multi‐microgrid for cloud energy storage

Feng

et al. 2023

IET Generation Trans & Dist

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Energy storage devices become an indispensable part of modern power systems with high renewable energy penetration level. To reduce the operating costs, it is a promising way to allow the sharing and leasing of energy storage devices. In this paper, a bi-lever optimized dispatch scheme is proposed to improve the usage efficiency of cloud energy storage in multi microgrids (MMG) system. Minimizing the operating costs of shared cloud energy storage is the main task of the upper lever while maximizing the profits of MMG is the goal of the lower lever. Moreover, the transaction cost and benefit between the two levers play an important role in system level optimization. This leads to a hybrid optimization problem with both discrete decision variables and continuous decision variables. To solve the problem, a relaxation-based bi-lever reformulation and decomposition algorithm is developed. The effectiveness of the proposed bi-lever dispatch optimization model is verified by carrying out numerical experiments in three scenarios. It is shown that the proposed cloud energy storage service can effectively reduce the operating cost of MMG.

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“…To simplify, we take the ES trading model with only ES station as an example and reconfigure the MP model (46) [31].…”

Section: • the Master Problem (Denoted As Mp)mentioning

confidence: 99%

Relaxation‐based bi‐lever reformulation and decomposition algorithm‐based collaborative optimization of multi‐microgrid for cloud energy storage

Feng

et al. 2023

IET Generation Trans & Dist

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“…Evaluations on a modified IEEE 33-bus distribution test system with one On-LTC, nine Capacitor Banks (CBs), four PV systems and 32 smart meters highlight that there is a 1% increase in the voltage magnitude along with a 16% increase in the On-LTC tap position which results in abnormal feeder voltage profile in both the physical and cyber layers. Shen et al Shen et al (2021) extended the previous work by modeling a load redistribution attack on VVC as a single-leader-multi-follower bi-level mixed-integer linear programming (BMILP) model to maximize voltage profiles and increase load curtailment costs. Real-world experiments on a High-and-medium-voltage distribution system (HMVDS) in China demonstrate fluctuations on the reactive power support and voltage profiles by up to 83%.…”

Section: Volt-var Controlmentioning

confidence: 99%

False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey

Husnoo¹,

Anwar²,

Hosseinzadeh³

et al. 2021

Preprint

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With the proliferation of smart devices and revolutions in communications, electrical distribution systems are gradually shifting from passive, manually-operated and inflexible ones, to a massively interconnected cyber-physical smart grid to address the energy challenges of the future. However, the integration of several cutting-edge technologies has introduced several security and privacy vulnerabilities due to the large-scale complexity and resource limitations of deployments. Recent research trends have shown that False Data Injection (FDI) attacks are becoming one of the most malicious cyber threats within the entire smart grid paradigm. Therefore, this paper presents a comprehensive survey of the recent advances in FDI attacks within active distribution systems and proposes a taxonomy to classify the FDI threats with respect to smart grid targets. The related studies are contrasted and summarized in terms of the attack methodologies and implications on the electrical power distribution networks. Finally, we identify some research gaps and recommend a number of future research directions to guide and motivate prospective researchers.⋆ This document is the results of the research project funded by the Centre for

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“…3) A tailored algorithm that integrates the traditional Karush-Kuhn-Tucker-based (KKT-based) reformulation approach [23] and a relaxation-based bi-level reformulation and decomposition (RBRD) algorithm [24] is developed to solve the proposed bi-level bidding model. Based on the traditional KKT-based reformulation approach, the proposed bi-level model is transformed into a bi-level mixed-integer linear programming (BMILP) model with only mixed-integer linear programming (MILP) lower-level problems, which can be globally solved using the RBRD algorithm.…”

Section: Contribution and Organizationmentioning

confidence: 99%

“…To tackle this challenge, the original BMINLP model is transformed into a special tractable form based on the linearization and approximation techniques applied in Section 2.4. To solve this special BMINLP model with both linear programming (LP) lower-level problems and MILP lower-level problems, a tailored algorithm integrating the traditional KKT-based reformulation approach [23] and the RBRD algorithm [24] is proposed in this section. Moreover, the nonlinear term (i.e., F1) in the objective function in the upper-level problem can be linearized through the strong duality theorem [23], and hence, this special BMINLP model is converted into the BMILP model.…”

Section: Linearization Of the Line Flow Capacity Constraints In Dsmentioning

confidence: 99%

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An Accelerated Stackelberg Game Approach for Distributed Energy Resource Aggregator Participating in Energy and Reserve Markets Considering Security Check

Shen

Liu

et al. 2021

SSRN Journal

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Bi-level mixed-integer linear programming algorithm for evaluating the impact of load-redistribution attacks on Volt-VAR optimization in high- and medium-voltage distribution systems

Cited by 19 publications

References 30 publications

Relaxation‐based bi‐lever reformulation and decomposition algorithm‐based collaborative optimization of multi‐microgrid for cloud energy storage

Relaxation‐based bi‐lever reformulation and decomposition algorithm‐based collaborative optimization of multi‐microgrid for cloud energy storage

False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey

An Accelerated Stackelberg Game Approach for Distributed Energy Resource Aggregator Participating in Energy and Reserve Markets Considering Security Check

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