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TOC Alert for Publication# 4082359 2018May 24<![CDATA[Stability and control of mixed AC–DC systems with VSC-HVDC: a review]]>1210220722194171<![CDATA[Circulating current suppression with improved DC-link power quality for modular multilevel converter]]>12102220223010731<![CDATA[Optimal PMU placement for pessimistic dynamic vulnerability assessment]]>1210223122372996<![CDATA[Modified concentric power swing blocker applicable in UPFC compensated line]]>1210223822464046<![CDATA[Understanding DC-side high-frequency resonance in MMC-HVDC system]]>H(s) and G(s). This study shows that both amplitudes of H(s), i.e. Abs [H(s)] and resonance peak of G(s) affect the encirclement radius of the Nyquist curve, and the encirclement radius reaches the largest at the resonance frequency. More importantly, the power transfer capability is restricted by the DC-side resonance since the more transmitted power leads to larger Abs [H(s)]. The impedance model is verified by both time-domain simulations and frequency responses imposed by impedance frequency scan in power systems computer-aided design/electro-magnetic transient design and control. Besides, an active damping control approach is introduced to suppress the resonance on DC side.]]>1210224722551857<![CDATA[Provision of flexible ramping product by battery energy storage in day-ahead energy and reserve markets]]>1210225622642328<![CDATA[Transient overvoltage response performance of transformer windings with short-circuit fault]]>1210226522723506<![CDATA[Locating all real solutions of power flow equations: a convex optimisation-based method]]>1210227322791051<![CDATA[Algorithm for islanding detection in photovoltaic generator network connected to low-voltage grid]]>1210228022874959<![CDATA[Dynamic stability enhancement of TCSC-based tidal power generation using quasi-oppositional harmony search algorithm]]>d–q-axis decomposition. Eigenvalue analysis is performed using the frequency-domain approach to study the steady-state stability while the time-domain-based simulation is carried out to determine the dynamic stability of the studied system. To corroborate the effectiveness of QOHSA, results yielded by this algorithm are compared with those obtained using particle swarm optimisation technique. It may be inferred from the results obtained in this study that the QOHSA tuned TCSC outperforms the other in improving the overall stability of the TPGS-based SMIB system following disturbance. Furthermore, a similar analysis is extended to the TPGS-based multi-machine power system model to validate the efficiency of QOHSA in optimal designing of TCSC for dynamic stability improvement.]]>1210228822982637<![CDATA[Hierarchical parallel dynamic estimator of states for interconnected power system]]>1210229923062086<![CDATA[MILP-based technique for smart self-healing grids]]>1210230723161304<![CDATA[Technique for inrush current modelling of power transformers based on core saturation analysis]]>λ-i equivalent circuit is proposed for saturated core transformer by transformation of conventional v-i circuit. This λ-i equivalent circuit clearly shows the effect of parameters on transformer saturation and inrush current; and provides a powerful insight into these phenomena. Moreover, new equations are developed which can predict inrush current and core-flux envelopes. The predicted waveforms can be compared with measured transformer current to detect transformer internal-fault during inrush current, which is a challenge in transformer protection. This model and the equations are compared with the recorded inrush current waveform of a real transformer, and simulation results. These comparisons verify the efficiency of the model and accuracy of the equations.]]>1210231723242864<![CDATA[Real-time optimal management of reverse power flow in integrated power and gas distribution grids under large renewable power penetration]]>1210232523312973<![CDATA[Error reduction of phasor measurement unit data considering practical constraints]]>1210233223391959<![CDATA[Optimising regulation of aggregated thermostatically controlled loads based on multi-swarm PSO]]>1210234023464267<![CDATA[Estimating electromechanical oscillation modes from synchrophasor measurements in bulk power grids using FSSI]]>changing the model order successively over the defined range given by a mean of singular values based order determination strategy. Additionally, the proposed approach is highly reliable against prevalent measurement noises owing to RCs and the EOMS. The performance of the proposed method is evaluated in Kundur's two-area test system by comparing with MOSSI, Prony and autoregressive moving average exogenous. Its applicability for both the ringdown and ambient data is also demonstrated with the phasor measurement units field-measurement data from the China Southern Power Grid. The results confirmed the accuracy, robustness and efficiency of the proposed approach for oscillation mode estimation.]]>1210234723582564<![CDATA[Impacts of the model uncertainty on the voltage regulation problem of medium-voltage distribution systems]]>1210235923683685<![CDATA[Non-cooperative and cooperative optimisation of battery energy storage system for energy management in multi-microgrid]]>1210236923773559<![CDATA[Method for voltage drop compensation in a multi-terminal dc network]]>1210237823872058<![CDATA[Adaptive primary droop control for islanded operation of hybrid AC–DC MGs]]>1210238823963160<![CDATA[Power coordinated control method with frequency support capability for hybrid single/three-phase microgrid]]>1210239724056135<![CDATA[Coordinated predictive control for wind farm with BESS considering power dispatching and equipment ageing]]>1210240624143969<![CDATA[Design and implementation of perturbation observer-based robust passivity-based control for VSC-MTDC systems considering offshore wind power integration]]>1210241524245104<![CDATA[Wide-area measurement system-based model-free approach of post-fault rotor angle trajectory prediction for on-line transient instability detection]]>1210242524356398<![CDATA[Artificial intelligence-based short-circuit fault identifier for MT-HVDC systems]]>1210243624433665<![CDATA[Hierarchical optimisation strategy in microgrid based on the consensus of multi-agent system]]>1210244424513407<![CDATA[PSO of power cable performance in complex surroundings]]>1210245224613765<![CDATA[Single-phase high-impedance fault protection for low-resistance grounded distribution network]]>π, and its amplitude is much greater than 0. Base on the above significant difference, the protection criterion for HIFs in the LGRDN can be obtained. Theory analysis and simulation results show that the proposed method does not need to check the polarities of the zero-sequence current transformers and is able to remove faulty feeder reliably. Besides, the protection can accurately operate for HIFs in the case of noise interference and unbalanced current. The experimental results based on RTDS also show the efficiency of the proposed method.]]>1210246224702940<![CDATA[Decentralised frequency<?show [AQ ID=Q1]?>-based control of a population of heterogeneous ACs without power oscillations]]>1210247124792340<![CDATA[Moisture estimation for oil-immersed bushing based on FDS method: at a reference temperature]]>1210248024865242<![CDATA[Measurements on partial discharge in on-site operating power transformer: a case study]]>1210248724956653<![CDATA[Corrigendum: Dual function ferroresonance and fault current limiter based on DC reactor]]>121024962496299<![CDATA[Erratum: Passive islanding detection scheme based on autocorrelation function of modal current envelope for photovoltaic units]]>121024972497300