UID:
almahu_9949984444902882
Format:
1 online resource (278 pages)
Edition:
First edition.
ISBN:
9780443221866
,
9780443221873
Note:
Front Cover -- Next-Generation Cyber-Physical Microgrid Systems -- Next-Generation Cyber-Physical Microgrid Systems: A Practical Guide to Communication Technologies for Resilience -- Copyright -- Contents -- List of contributors -- Preface -- Summary -- 5 salient features -- 1 - Demand response analysis in microgrids with blockchain: A comprehensive cyber-physical approach -- 1.1 Introduction -- 1.1.1 Smart grid -- 1.1.2 Intelligent infrastructure for sustainable future -- 1.1.3 Blockchain -- 1.1.4 Consensus algorithm -- 1.1.4.1 Proof-of-work -- 1.1.4.2 Proof-of-stake -- 1.1.4.3 Proof-of-elapsed-time -- 1.1.4.4 Practical Byzantine fault tolerance -- 1.1.4.5 Simplified Byzantine fault tolerance -- 1.1.4.6 Proof-of-activity -- 1.1.4.7 Proof-of-importance -- 1.1.4.8 Proof-of-capacity -- 1.1.4.9 Proof-of-burn -- 1.1.4.10 Proof-of-weight -- 1.1.5 Chain length -- 1.2 Literature review -- 1.2.1 Deductive versus inductive research approaches -- 1.2.2 Research methods -- 1.3 Methodology and implementations: Blockchain in smart grid -- 1.3.1 Building a blockchain -- 1.3.2 Adding transactions to a block -- 1.3.3 Creation of genesis blocks -- 1.3.4 PoW in smart grid -- 1.3.5 Hash function -- 1.3.6 Endpoint -- 1.3.7 Smart contracts for smart grid -- 1.4 Conclusion -- References -- 2 - Cyber-physical security in a stand-alone photovoltaic system for rural electrification -- 2.1 Introduction -- 2.2 Cyber-physical security in a stand-alone PV system on sustainable energies -- 2.3 Cyber-physical security in a stand-alone PV system on SG and everyday life -- 2.4 Results and discussion -- 2.5 Conclusion -- References -- 3 - A brief review on control strategies for hydrostatic transmission-based wind turbines -- 3.1 Introduction -- 3.2 Modeling of HST-based WT -- 3.3 HST control -- 3.3.1 Conventional HST -- 3.3.1.1 Challenges in conventional HST.
,
3.3.2 DHST control -- 3.3.2.1 Challenges in DHST -- 3.4 Conclusion -- References -- 4 - Optimal placing and sizing of distributed generation in distribution system with different weighing factors -- 4.1 Introduction -- 4.2 Modeling and analysis by test bus system -- 4.2.1 IEEE-30 test bus system -- 4.2.1.1 Constraints data -- 4.2.1.2 Cost characteristics for test bus system modeling -- 4.2.2 Evaluation of weighting factors from IEEE-30 bus system -- 4.2.2.1 Modeling and simulation of DG type 1 -- 4.2.2.2 Modeling and simulation of DG type 2 -- 4.2.3 Validation and analysis of test bus system results -- 4.2.3.1 Validation of the proposed algorithm by test bus system results -- Validate PSO -- Validate power flow results -- 4.2.3.2 Analyze test bus system results with literature review -- 4.3 Conclusion -- Appendix -- References -- 5 - Modeling and optimization of distributed energy resources in microgrid -- 5.1 Introduction -- 5.2 Modeling of distributed energy resources -- 5.2.1 Solar cell modeling -- 5.2.2 Wind turbine modeling -- 5.3 Optimization techniques -- 5.4 Optimization techniques for the RDNs -- 5.5 Solution techniques -- 5.5.1 Parameter improved particle swarm optimization -- 5.5.2 Improved PIPSO -- 5.5.3 Power loss minimization with improved PIPSO -- 5.5.4 Improved biogeography-based optimization -- 5.5.4.1 Mutation operator -- 5.5.4.2 Improved migration operator -- 5.6 Simulation results and discussion -- 5.7 Conclusion -- References -- 6 - Microgrid energy management systems with secure communication modeling -- Abbreviation -- 6.1 Introduction -- 6.1.1 Architecture of MG EMS -- 6.1.2 Challenges and solutions in MG -- 6.2 Proposed system -- 6.2.1 Hardware implementation -- 6.2.2 Working of proposed system -- 6.2.3 Accessing web page -- 6.2.4 Load priority functioning diagram -- 6.2.4.1 Block diagram -- 6.3 Results.
,
6.3.1 Proposed system under ideal state -- 6.3.2 Web page for smart energy meter data real-time monitoring -- 6.4 Conclusion -- References -- 7 - Modeling and analysis of a standalone hybrid green microgrid system -- 7.1 Introduction -- 7.2 Modeling of the hybrid system -- 7.2.1 Design of the PV system -- 7.2.2 Designing the wind system -- 7.2.2.1 Designing the PMSG -- 7.2.3 Modeling of BESSs -- 7.2.4 Designing VSI in HSMG -- 7.3 Controller implementation for HSMG -- 7.3.1 MPPT control of PV system -- 7.3.2 SMC implementation in PMSG for HSMG -- 7.3.3 Controller design of BESS -- 7.3.4 Designing the SMC for VSI in HSMG -- 7.4 Results and discussion -- 7.4.1 Case: 1-Constant source and load condition -- 7.4.2 Case: 2-Varying source and load condition -- 7.4.3 Case: 3-Increasing load condition -- 7.4.4 Case: 4-Decreasing load condition -- 7.4.4.1 System performance indices -- 7.5 Conclusion -- References -- 8 - Machine learning based side channel power attack analysis of VLSI implementations in microgrids -- 8.1 Introduction -- 8.2 Related works -- 8.3 Background -- 8.3.1 Side-channel analysis -- 8.3.2 Machine learning -- 8.3.2.1 Random forest -- 8.3.3 S-box -- 8.3.4 ML evaluation metrics -- 8.3.4.1 Precision -- 8.3.4.2 Recall -- 8.3.4.3 F1 score -- 8.3.4.4 Accuracy -- 8.3.4.5 Loss -- 8.3.4.6 Mean squared loss -- 8.3.5 Labeling methods in ML -- 8.3.5.1 Least significant bit -- 8.3.5.2 Most significant bit -- 8.3.5.3 Hamming weight -- 8.3.5.4 Identity-based labeling -- 8.3.6 PRESENT block cipher -- 8.3.6.1 Pseudocode -- 8.4 Experimental setup -- 8.4.1 SCA datasets -- 8.4.1.1 ASCAD dataset -- 8.4.2 Evaluation procedure -- 8.4.3 Hyperparameter tuning -- 8.4.4 Observation -- 8.4.4.1 Metrics data for N=20 -- 8.4.4.2 Metrics data for N=100 -- 8.5 Results and discussion -- 8.5.1 Implementation on N=20 in our custom dataset custom dataset.
,
8.5.2 Implementation on N=100 in our custom dataset custom dataset -- 8.6 Conclusions and future work -- References -- 9 - Detecting and mitigating cyber-physical attacks in microgrids to ensure resilient and sustainable communities -- 9.1 Introduction -- 9.2 Threats and impacts of cyber-physical attacks on microgrids -- 9.2.1 Overview of microgrids -- 9.2.2 Cyber-physical threats -- 9.2.3 Impacts of cyber-physical attacks on microgrids -- 9.3 Detection techniques for cyber-physical attacks -- 9.3.1 Intrusion detection systems -- 9.3.2 Anomaly detection approaches -- 9.3.3 Signature-based detection methods -- 9.3.4 Machine learning-based detection models -- 9.4 Mitigation strategies for cyber-physical attacks -- 9.4.1 Secure communication protocols -- 9.4.2 Access control and authentication mechanisms -- 9.4.3 Network segmentation and isolation -- 9.4.3.1 Network segmentation -- 9.4.3.2 Benefits of network segmentation -- 9.4.3.3 Network isolation -- 9.4.3.4 Benefits of network isolation -- 9.4.4 Incident response and recovery plans -- 9.5 Case studies and real-world examples -- 9.5.1 Case study 1: Cyber-physical attack on a microgrid -- 9.5.2 Case study 2: Successful detection and mitigation of an attack -- 9.6 Policy and regulatory considerations -- 9.7 Conclusion -- References -- 10 - Blockchain technology for hybrid AC-DC microgrids -- 10.1 Introduction -- 10.2 Literature survey -- 10.2.1 Blockchain definition and background -- 10.2.2 Blockchain technology -- 10.2.3 Distributed ledger technology -- 10.2.4 Smart contract -- 10.3 Blockchain categories -- 10.3.1 Permissioned versus permissionless -- 10.3.2 On-chain or off-chain -- 10.3.3 Mechanisms for consensus -- 10.4 Blockchain attributes -- 10.5 Microgrid and blockchain linkage -- 10.6 Application of blockchain in AC/DC hybrid microgrid -- 10.7 Blockchain algorithms/solutions.
,
10.7.1 Blockchain consensus algorithm -- 10.7.1.1 Proof-of-work -- 10.7.1.2 Proof-of-stake -- Operations on a validator -- 10.7.1.3 Proof-of-authority -- 10.7.1.4 Byzantine fault tolerance -- Practical byzantine fault tolerance -- Federated byzantine agreement -- 10.7.1.5 Proof-of-capacity -- 10.7.1.6 Proof-of-burn -- Functions of PoB protocol -- OP_RETURN < -- data -- Properties of PoB protocol -- 10.8 Conclusion -- References -- Index -- Back Cover.
Additional Edition:
Print version: Swathika, O. V. Gnana Next-Generation Cyber-Physical Microgrid Systems San Diego : Elsevier,c2024
Language:
English
Bookmarklink
