LIST OF SYMBOLS m Number of criteria n Number of alternatives TVHD Total voltage harmonic distortion VSS Voltage sag score Va, Vb, Vc Post sag RMS voltages of phase A, B and C respectively VUF Voltage unbalance factor Vp Positive sequence voltage component Vn Negative sequence voltage component Vab, Vbc, Vca Three-phase imbalanced line voltages Vabe Difference between the line voltage Vab and the average line voltage VPPI Voltage Profile Performance Index A Pairwise comparison matrix ajk General element of pairwise comparison matrix j, k Names of criterion w Vector of criteria weight S Matrix of PQ phenomena scores v Vector of global PQ phenomena scores Fi Vector of individual corresponding indices of PQ phenomena Fthr Vector of threshold values of indices p Number of PQ phenomena considered UPQIi Unified power quality index for the i th bus Wg, Wd, Wl Weights assigned to grid, DG and load bus group respectively Ag, Ad, Al PQ priority scores of grid, DG and load bus group respectively g Total number of utility grid buses d Total number of DG buses l Total number of load buses wi Power quality importance score of the i th bus of the corresponding bus group UPQIg Unified power quality index of grid bus group UPQId Unified power quality index of DG bus group UPQIl Unified power quality index of load bus group UPQIoverall Unified power quality index of the overall system Iph Photocurrent Is Load current Id Diode current Ish Shunt current Fs Solar radiation To Ambient temperature Vs Load voltage P1, P2, P3 Constants Tj Junction temperature e The charge of an electron a The ideality factor of a diode Ns The number of cells connected in series K Boltzmann's constant Rs The value of series resistance Eg Energy bandgap

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A data breach can seriously impact organizational intellectual property, resources, time, and product value. The risk of system intrusion is augmented by the intrinsic openness of commonly utilized technologies like TCP/IP protocols. As TCP relies on IP addresses, an attacker may easily trace the IP address of the organization. Given that many organizations run the risk of data breach and cyber-attacks at a certain point, a repeatable and well-developed incident response framework is critical to shield them. Enterprise cloud possesses the challenges of security, lack of transparency, trust and loss of controls. Technology eases quickens the processing of information but holds numerous risks including hacking and confidentiality problems. The risk increases when the organization outsources the cloud storage services through the vendor and suffers from security breaches and need to create security systems to prevent data networks from being compromised. The business model also leads to insecurity issues which derail its popularity. An attack mitigation system is the best solution to protect online services from emerging cyber-attacks. This research focuses on cloud computing security, cyber threats, machine learning-based attack detection, and mitigation system. The proposed SDN-based multilayer machine learning-based self-defense system effectively detects and mitigates the cyber-attack and protects cloud-based enterprise solutions. The results show the accuracy of the proposed machine learning techniques and the effectiveness of attack detection and the mitigation system.

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Shunt active power filter (SAPF) belongs to the class of custom power devices (CPDs) and offers compensation to harmonics originated owing to customer side nonlinear loads, reactive power and unbalance in the distribution power networks functioning in current control mode (CCM). The performance of a SAPF as a harmonic compensator entirely relies on the control technique i.e. the precise detection of the harmonic current components of load that are necessary to be compensated. In the present work, a 3-phase SAPF, inspired by a Lyapunov function based control approach, has been designed for compensation of harmonics resulted in the feeder current owing to the customer side nonlinearity. A control law is determined in the proposed strategy which makes the derivative of the Lyapunov function consistently a negative one for an entire set of stable states. The DC-link capacitor voltage is regulated at constant reference through the proportional-integral (PI) controller. In this method rating of the shunt active power filter is considerably reduced than the other two broadly employed conventional methods. Furthermore, the harmonic compensation efficacy of the proposed Lyapunov function based SAPF is compared with the one based on other two conventional approaches under four different system scenarios namely a simple nonlinear load with and without utility side voltage distortion, a modified IEEE 13 bus test distribution system loaded with a 3phase chopper fed direct current (DC) motor drive at a single bus and last especially for increasing the harmonic-constrained penetration level of renewable energy. Results obtained through simulation performed in MATLAB/Simulink shows that total harmonic distortion (THD) of source current and dynamic, as well as steady-state performance with Lyapunov function based controller, is significantly improved than the other two conventional methods. Also, the robust compensation performance of the SAPF empowers it to deal with the high penetration of renewable energy.

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