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Yang Li; Dulmini Ralahamilage; Mahinda Vilathgamuwa; Yateendra Mishra; Troy Farrell; San Shing Choi; Changfu Zou. Model Order Reduction Techniques for Physics-Based Lithium-Ion Battery Management: A Survey. IEEE Industrial Electronics Magazine 2021, PP, 2 -18.
AMA StyleYang Li, Dulmini Ralahamilage, Mahinda Vilathgamuwa, Yateendra Mishra, Troy Farrell, San Shing Choi, Changfu Zou. Model Order Reduction Techniques for Physics-Based Lithium-Ion Battery Management: A Survey. IEEE Industrial Electronics Magazine. 2021; PP (99):2-18.
Chicago/Turabian StyleYang Li; Dulmini Ralahamilage; Mahinda Vilathgamuwa; Yateendra Mishra; Troy Farrell; San Shing Choi; Changfu Zou. 2021. "Model Order Reduction Techniques for Physics-Based Lithium-Ion Battery Management: A Survey." IEEE Industrial Electronics Magazine PP, no. 99: 2-18.
The increasing penetration level of photovoltaic (PV) systems in low-voltage networks causes voltage regulation issues. This brief proposes a new voltage regulation strategy utilizing distributed battery energy storage systems (BESSs) while incorporating the inevitable communication delays. The proposed strategy ensures that the voltage regulation burden is appropriately shared among all involved BESSs in the network. The effects of communication delays on the performance of the proposed strategy are analyzed and an admissible delay bound is established. Case studies are conducted to verify the effectiveness of the proposed strategy.
Lantao Xing; Yateendra Mishra; Yu-Chu Tian; Gerard Ledwich; Changyun Wen; Wangli He; Wenli Du; Feng Qian. Distributed Voltage Regulation for Low-Voltage and High-PV-Penetration Networks With Battery Energy Storage Systems Subject to Communication Delay. IEEE Transactions on Control Systems Technology 2021, PP, 1 -8.
AMA StyleLantao Xing, Yateendra Mishra, Yu-Chu Tian, Gerard Ledwich, Changyun Wen, Wangli He, Wenli Du, Feng Qian. Distributed Voltage Regulation for Low-Voltage and High-PV-Penetration Networks With Battery Energy Storage Systems Subject to Communication Delay. IEEE Transactions on Control Systems Technology. 2021; PP (99):1-8.
Chicago/Turabian StyleLantao Xing; Yateendra Mishra; Yu-Chu Tian; Gerard Ledwich; Changyun Wen; Wangli He; Wenli Du; Feng Qian. 2021. "Distributed Voltage Regulation for Low-Voltage and High-PV-Penetration Networks With Battery Energy Storage Systems Subject to Communication Delay." IEEE Transactions on Control Systems Technology PP, no. 99: 1-8.
As a key part of modern power systems, DC microgrid is becoming increasingly important. Among different control methods for DC microgrid, secondary control has been widely investigated since it can guarantee both current sharing and DC bus voltage restoration. However, the existing secondary control results only consider fixed current sharing ratio among DC converters, and thus they cannot be applied to the case where an adjustable current sharing ratio is desired. Motivated by this observation, this paper presents a new distributed secondary control strategy. By imposing a time-varying droop gain and specifying the ``virtual voltage drop", this strategy is able to ensure adjustable current sharing ratio among DC converters. Moreover, the effects of time delay on the control performance is also analyzed. Three case studies and two hardware-in-the-loop (HIL) tests are provided to verify the efficacy of the presented strategy.
Lantao Xing; Fanghong Guo; Xiaokang Liu; Changyun Wen; Yateendra Mishra; Yu-Chu Tian. Voltage Restoration and Adjustable Current Sharing for DC Microgrid With Time Delay via Distributed Secondary Control. IEEE Transactions on Sustainable Energy 2020, 12, 1068 -1077.
AMA StyleLantao Xing, Fanghong Guo, Xiaokang Liu, Changyun Wen, Yateendra Mishra, Yu-Chu Tian. Voltage Restoration and Adjustable Current Sharing for DC Microgrid With Time Delay via Distributed Secondary Control. IEEE Transactions on Sustainable Energy. 2020; 12 (2):1068-1077.
Chicago/Turabian StyleLantao Xing; Fanghong Guo; Xiaokang Liu; Changyun Wen; Yateendra Mishra; Yu-Chu Tian. 2020. "Voltage Restoration and Adjustable Current Sharing for DC Microgrid With Time Delay via Distributed Secondary Control." IEEE Transactions on Sustainable Energy 12, no. 2: 1068-1077.
The curtailment of photovoltaic (PV) power injection is one of the ways to mitigate the overvoltage issue in residential distribution networks with high levels of PVs. The reactive power compensation (RPC) of PV inverter, when applied in conjunction with the active power curtailment (APC) of battery energy storage system (BESS), is more effective in improving the voltage profile. Hence, a coordinated power compensation algorithm (PCA) is proposed in this article to regulate the voltage and reduce the power curtailment while serving requisite load demand. Both RPC and APC are integrated to improve the voltage regulation margin in a low-voltage distribution network. Using bus voltage sensitivities, the integrated RPC and APC are performed on the most sensitive PV inverter and BESS for voltage regulation. The proposed PCA has a large capability in voltage regulation as it performs RPC before APC, reducing the amount of total PV power curtailment. Simulation studies are conducted on distribution feeders to demonstrate the effectiveness of the proposed approach.
Zhanqiang Zhang; Yateendra Mishra; Chunxia Dou; Dong Yue; Bo Zhang; Yu-Chu Tian. Steady-State Voltage Regulation With Reduced Photovoltaic Power Curtailment. IEEE Journal of Photovoltaics 2020, 10, 1853 -1863.
AMA StyleZhanqiang Zhang, Yateendra Mishra, Chunxia Dou, Dong Yue, Bo Zhang, Yu-Chu Tian. Steady-State Voltage Regulation With Reduced Photovoltaic Power Curtailment. IEEE Journal of Photovoltaics. 2020; 10 (6):1853-1863.
Chicago/Turabian StyleZhanqiang Zhang; Yateendra Mishra; Chunxia Dou; Dong Yue; Bo Zhang; Yu-Chu Tian. 2020. "Steady-State Voltage Regulation With Reduced Photovoltaic Power Curtailment." IEEE Journal of Photovoltaics 10, no. 6: 1853-1863.
Voltage regulation is imperative for the successful operation of electricity distribution networks, especially with a high level of photovoltaic (PV) systems. Power compensation control (PCC) that uses both reactive power compensation and active power curtailment has shown promising results in alleviating voltage rise problems. It crucially relies on real-time communications among distributed PV systems. However, the transmission of state measurements and control signals in PCC is hampered by inevitable communication delays. Therefore, it is important to not only estimate the maximum tolerable communication delay (MTCD) but also develop an alternative technique for PCC under abnormal communication delay (ACD) conditions. This paper presents a delay-tolerant predictive PCC for voltage regulation in distribution feeders. After estimating the MTCD based on voltage and power mutation, it uses normal PCC for effective operation when communication delay is within MTCD, or switches to predictive PCC under ACD conditions. An accurate prediction is achieved using a double neural network with on-line adjustment of weights and samples. Simulations on a sample distribution network demonstrate the effectiveness of our presented approach.
Zhanqiang Zhang; Yateendra Mishra; Dong Yue; Chun-Xia Dou; Bo Zhang; Yu-Chu Tian. Delay-Tolerant Predictive Power Compensation Control for Photovoltaic Voltage Regulation. IEEE Transactions on Industrial Informatics 2020, 17, 4545 -4554.
AMA StyleZhanqiang Zhang, Yateendra Mishra, Dong Yue, Chun-Xia Dou, Bo Zhang, Yu-Chu Tian. Delay-Tolerant Predictive Power Compensation Control for Photovoltaic Voltage Regulation. IEEE Transactions on Industrial Informatics. 2020; 17 (7):4545-4554.
Chicago/Turabian StyleZhanqiang Zhang; Yateendra Mishra; Dong Yue; Chun-Xia Dou; Bo Zhang; Yu-Chu Tian. 2020. "Delay-Tolerant Predictive Power Compensation Control for Photovoltaic Voltage Regulation." IEEE Transactions on Industrial Informatics 17, no. 7: 4545-4554.
The detection and localization of dc arc faults is a major problem in large grid-connected photovoltaic systems. Hence, a time-domain technique based on the mathematical morphology called the decomposed open–close alternating sequence (DOCAS) is proposed in this article for the detection and localization of such fault conditions. The dc arc is usually sustained if sufficient fault current exists, and this phenomenon is captured by generating sustained random spikes at the output of the DOCAS algorithm that correlates to the rate of change in the dc arc current and voltage signals to detect incidences of dc arc faults when they occur. The proposed method further incorporates a technique for fault localization based on the increased effective resistance under dc arc fault conditions. Moreover, the effective fault resistance is further used as a noise filtering function for noise suppression. The method has been tested under different levels of low irradiances, fault location, and noise condition, and the results are presented to demonstrate the characteristics of the proposed technique.
Moses Kavi; Yateendra Mishra; Mahinda Vilathgamuwa. DC Arc Fault Detection For Grid-Connected Large-Scale Photovoltaic Systems. IEEE Journal of Photovoltaics 2020, 10, 1489 -1502.
AMA StyleMoses Kavi, Yateendra Mishra, Mahinda Vilathgamuwa. DC Arc Fault Detection For Grid-Connected Large-Scale Photovoltaic Systems. IEEE Journal of Photovoltaics. 2020; 10 (5):1489-1502.
Chicago/Turabian StyleMoses Kavi; Yateendra Mishra; Mahinda Vilathgamuwa. 2020. "DC Arc Fault Detection For Grid-Connected Large-Scale Photovoltaic Systems." IEEE Journal of Photovoltaics 10, no. 5: 1489-1502.
Compared to conventional empirical or equivalent circuit-based Battery Management Systems (BMS), Advanced Battery Management Systems (ABMS) incorporate sophisticated electrochemical battery models that estimate health-related states with improved accuracy to achieve the desired outcomes. Equivalent Circuit Models based on electrochemical principles are used to reduce the complexity of the sophisticated electrochemical battery models while ensuring the required accuracy. Side reaction induced battery capacity loss is one of the crucial aspects to be addressed in ABMS. This paper proposes a control strategy to minimize the side reaction induced capacity loss by changing the cell series-parallel configuration dynamically inside the battery pack. Reduced-order equivalent circuit model based on electrochemical theory is adopted to model the internal kinetics of Li-ion battery. The cells which have a better State of Health (SOH) condition given the higher priority to contribute to the output voltage and connect in series than the cells with lower SOH. Simulation results show a considerable amount of capacity loss reduction after introducing the proposed method.
Dulmini Karunathilake; Don Mahinda Vilathgamuwa; Yateendra Mishra; Troy W. Farrell; San Shing Choi. Capacity Loss Reduction using Smart-Battery Management System for Li-ion Battery Energy Storage Systems. 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) 2020, 997 -1002.
AMA StyleDulmini Karunathilake, Don Mahinda Vilathgamuwa, Yateendra Mishra, Troy W. Farrell, San Shing Choi. Capacity Loss Reduction using Smart-Battery Management System for Li-ion Battery Energy Storage Systems. 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE). 2020; ():997-1002.
Chicago/Turabian StyleDulmini Karunathilake; Don Mahinda Vilathgamuwa; Yateendra Mishra; Troy W. Farrell; San Shing Choi. 2020. "Capacity Loss Reduction using Smart-Battery Management System for Li-ion Battery Energy Storage Systems." 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE) , no. : 997-1002.
Dynamic average consensus (DAC) has found applications in various systems. The existing event-triggered DAC algorithms have not well addressed the effects of key communication link failures, i.e. the communication link failures that lead to the separation of the initial communication topology. This paper presents a modified event-triggered DAC algorithm which is independent of its initial conditions. As a result, it is robust against key communication link failures. In this algorithm, each agent can decide locally when to transmit signals to its neighbors. In this way, the communication burden among the neighboring agents is reduced. A numerical example is provided to illustrate the effectiveness of the proposed algorithm. Moreover, the proposed algorithm is applied to a state-of-charge balance control problem of batteries in energy systems, and both simulations and hardware in the loop (HIL) tests are provided to demonstrate the control performance.
Lantao Xing; Qianwen Xu; Changyun Wen; Yu-Chu Tian; Yateendra Mishra; Gerard Ledwich; Yong Duan Song. Robust Event-Triggered Dynamic Average Consensus Against Communication Link Failures With Application to Battery Control. IEEE Transactions on Control of Network Systems 2020, 7, 1559 -1570.
AMA StyleLantao Xing, Qianwen Xu, Changyun Wen, Yu-Chu Tian, Yateendra Mishra, Gerard Ledwich, Yong Duan Song. Robust Event-Triggered Dynamic Average Consensus Against Communication Link Failures With Application to Battery Control. IEEE Transactions on Control of Network Systems. 2020; 7 (3):1559-1570.
Chicago/Turabian StyleLantao Xing; Qianwen Xu; Changyun Wen; Yu-Chu Tian; Yateendra Mishra; Gerard Ledwich; Yong Duan Song. 2020. "Robust Event-Triggered Dynamic Average Consensus Against Communication Link Failures With Application to Battery Control." IEEE Transactions on Control of Network Systems 7, no. 3: 1559-1570.
Alan Louis; Gerard Ledwich; Geoff Walker; Yateendra Mishra. Measurement Sensitivity and Estimation Error in Distribution System State Estimation using Augmented Complex Kalman Filter. Journal of Modern Power Systems and Clean Energy 2020, 8, 657 -668.
AMA StyleAlan Louis, Gerard Ledwich, Geoff Walker, Yateendra Mishra. Measurement Sensitivity and Estimation Error in Distribution System State Estimation using Augmented Complex Kalman Filter. Journal of Modern Power Systems and Clean Energy. 2020; 8 (4):657-668.
Chicago/Turabian StyleAlan Louis; Gerard Ledwich; Geoff Walker; Yateendra Mishra. 2020. "Measurement Sensitivity and Estimation Error in Distribution System State Estimation using Augmented Complex Kalman Filter." Journal of Modern Power Systems and Clean Energy 8, no. 4: 657-668.
Hatim G. Abood; Victor Sreeram; Yateendra Mishra. An incremental meter placement method for state estimation considering collinear measurements and high leverage points. International Journal on Smart Sensing and Intelligent Systems 2020, 13, 1 -12.
AMA StyleHatim G. Abood, Victor Sreeram, Yateendra Mishra. An incremental meter placement method for state estimation considering collinear measurements and high leverage points. International Journal on Smart Sensing and Intelligent Systems. 2020; 13 (1):1-12.
Chicago/Turabian StyleHatim G. Abood; Victor Sreeram; Yateendra Mishra. 2020. "An incremental meter placement method for state estimation considering collinear measurements and high leverage points." International Journal on Smart Sensing and Intelligent Systems 13, no. 1: 1-12.
This study proposes a hybrid energy trading scheme for peer-to-peer (P2P) energy trading in transactive energy markets. Market players can participate in different markets, including local markets, trading with neighbourhood areas, and traditional trading with the grid. In each local market, a community manager (CM) facilitates energy trading and negotiates with other CMs for neighbourhood trading. Based on the heterogeneous preferences of players of each community, each local market has a different price, which is different from market price for neighbourhood trading and trading with the grid. A distributed market clearing mechanism is presented that incorporates coordination among different markets. Also, a network utilisation charge function is defined to apply price signals to the market players to reflect network constraints in energy trading. These price signals are calculated based on the technical constraints in each market and are applied to the corresponding players based on their contribution to network constraints violation. Performance of the proposed trading scheme is evaluated against different market structures and through several case studies.
Mohsen Khorasany; Yateendra Mishra; Gerard Ledwich. Hybrid trading scheme for peer‐to‐peer energy trading in transactive energy markets. IET Generation, Transmission & Distribution 2019, 14, 245 -253.
AMA StyleMohsen Khorasany, Yateendra Mishra, Gerard Ledwich. Hybrid trading scheme for peer‐to‐peer energy trading in transactive energy markets. IET Generation, Transmission & Distribution. 2019; 14 (2):245-253.
Chicago/Turabian StyleMohsen Khorasany; Yateendra Mishra; Gerard Ledwich. 2019. "Hybrid trading scheme for peer‐to‐peer energy trading in transactive energy markets." IET Generation, Transmission & Distribution 14, no. 2: 245-253.
Direct current (DC) microgrid is being increasingly investigated in modern power grid. An important issue in DC microgrid operation is to ensure proper current sharing among converters. While this has been addressed through droop control, the resulting voltage deviation in DC bus has to be compensated. To solve this problem, a new distributed secondary control scheme is presented in this paper for both current sharing and voltage restoration. A key part of the presented scheme is the integration of a new parameter ‘virtual voltage drop’ defined from droop gain and line resistance. Since the DC bus voltage is not required as a feedback signal, the proposed secondary control is simple and easy to design and implement. In addition, as the proposed scheme has no requirement for the loads, it can handle both resistance loads and constant power loads (CPLs). Simulations as well as experimental studies are carried out to demonstrate the effectiveness of the proposed scheme.
Lantao Xing; Yateendra Mishra; Fanghong Guo; Pengfeng Lin; Yang Yang; Gerard Ledwich; Yu-Chu Tian. Distributed Secondary Control for Current Sharing and Voltage Restoration in DC Microgrid. IEEE Transactions on Smart Grid 2019, 11, 2487 -2497.
AMA StyleLantao Xing, Yateendra Mishra, Fanghong Guo, Pengfeng Lin, Yang Yang, Gerard Ledwich, Yu-Chu Tian. Distributed Secondary Control for Current Sharing and Voltage Restoration in DC Microgrid. IEEE Transactions on Smart Grid. 2019; 11 (3):2487-2497.
Chicago/Turabian StyleLantao Xing; Yateendra Mishra; Fanghong Guo; Pengfeng Lin; Yang Yang; Gerard Ledwich; Yu-Chu Tian. 2019. "Distributed Secondary Control for Current Sharing and Voltage Restoration in DC Microgrid." IEEE Transactions on Smart Grid 11, no. 3: 2487-2497.
Dipesh Lamsal; Victor Sreeram; Yateendra Mishra; Deepak Kumar. Output power smoothing control approaches for wind and photovoltaic generation systems: A review. Renewable and Sustainable Energy Reviews 2019, 113, 1 .
AMA StyleDipesh Lamsal, Victor Sreeram, Yateendra Mishra, Deepak Kumar. Output power smoothing control approaches for wind and photovoltaic generation systems: A review. Renewable and Sustainable Energy Reviews. 2019; 113 ():1.
Chicago/Turabian StyleDipesh Lamsal; Victor Sreeram; Yateendra Mishra; Deepak Kumar. 2019. "Output power smoothing control approaches for wind and photovoltaic generation systems: A review." Renewable and Sustainable Energy Reviews 113, no. : 1.
This study presents a methodology for reactive power compensation provided by distribution static synchronous compensators (DSTATCOMs) to mitigate the voltage fluctuation and increase the solar energy harvest via photovoltaic (PV) inverters accordingly in medium-voltage distribution systems. An approximate method that uses one power flow run with the base-case system is analytically developed to offer a fast estimation of the location and size of DSTATCOMs to enhance the local voltage controllability over sunshine hours. This study then presents daily local reactive power control, where the control signals are calculated based on instantaneous measurements of the voltage at each bus without requiring any communications. The control method involves estimating the amount of reactive power support by the installed DSTATCOMs to reduce the voltage fluctuation during daytime while PV inverters are fully used to harvest the solar energy. At night-time, the DSTATCOMs operate as a master in voltage-controlled mode with other PV inverters in load mode if required to minimise the energy loss while improving the voltage profile. The proposed method has been tested on a 69-bus distribution system with 1 min load and 1 s solar power profiles and validated using a repeated power flow-based exact solution.
Duong Quoc Hung; Yateendra Mishra. Voltage fluctuation mitigation: fast allocation and daily local control of DSTATCOMs to increase solar energy harvest. IET Renewable Power Generation 2019, 13, 2558 -2568.
AMA StyleDuong Quoc Hung, Yateendra Mishra. Voltage fluctuation mitigation: fast allocation and daily local control of DSTATCOMs to increase solar energy harvest. IET Renewable Power Generation. 2019; 13 (14):2558-2568.
Chicago/Turabian StyleDuong Quoc Hung; Yateendra Mishra. 2019. "Voltage fluctuation mitigation: fast allocation and daily local control of DSTATCOMs to increase solar energy harvest." IET Renewable Power Generation 13, no. 14: 2558-2568.
Increase in the deployment of Distributed Energy Resources (DERs) has triggered a new trend to redesign electricity markets as consumer-centric markets relying on Peer-to-Peer (P2P) approaches. In the P2P markets, players can directly negotiate under bilateral energy trading to match demand and supply. The trading scheme should be designed adequately to incentivise players to participate in the trading process actively. This paper proposes a decentralised P2P energy trading scheme for electricity markets with high penetration of DERs. A novel algorithm using primal-dual gradient method is described to clear the market in a fully decentralised manner without interaction of any central entity. Also, to incorporate technical constraints in the energy trading, line flow constraints are modelled in the bilateral energy trading to avoid overloaded or congested lines in the system. This market structure respects market players' preferences by allowing bilateral energy trading with product differentiation. The performance of the proposed method is evaluated using simulation studies, and it is found that market players can trade energy to maximise their welfare without violating line flow constraints. Also, compared with other similar methods for P2P trading, the proposed approach needs lower data exchange and has a faster convergence rate.
Mohsen Khorasany; Yateendra Mishra; Gerard Ledwich. A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets. IEEE Transactions on Industrial Electronics 2019, 67, 4646 -4657.
AMA StyleMohsen Khorasany, Yateendra Mishra, Gerard Ledwich. A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets. IEEE Transactions on Industrial Electronics. 2019; 67 (6):4646-4657.
Chicago/Turabian StyleMohsen Khorasany; Yateendra Mishra; Gerard Ledwich. 2019. "A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets." IEEE Transactions on Industrial Electronics 67, no. 6: 4646-4657.
This paper proposes a computationally efficient home energy management scheduler (HEMS) to minimize the cost of electricity consumption (CoEC) within a home which consists of rooftop Photovoltaics (PVs), a battery energy storage system (BESS), and controllable appliances. Differential dynamic programming (DDP) algorithm is used and the uncertainty of PV generation and household demand along with the battery degradation is incorporated. The DDP algorithm divides the original problem space into several smaller subspaces and iteratively searches for a better solution within a subspace. The effectiveness of the developed framework is investigated through numerical simulations. The proposed HEMS minimizes the CoEC by determining an appropriate schedule of all devices ensuring an acceptable level for the customer comfort. The DPP-based HEMS is faster than the exact DP, approximate DP and MILP method. It is implemented in an intra-day setting where the BESS power is adjusted based on real-time observations of uncertain variables.
Babak Jeddi; Yateendra Mishra; Gerard Ledwich. Differential Dynamic Programming Based Home Energy Management Scheduler. IEEE Transactions on Sustainable Energy 2019, 11, 1427 -1437.
AMA StyleBabak Jeddi, Yateendra Mishra, Gerard Ledwich. Differential Dynamic Programming Based Home Energy Management Scheduler. IEEE Transactions on Sustainable Energy. 2019; 11 (3):1427-1437.
Chicago/Turabian StyleBabak Jeddi; Yateendra Mishra; Gerard Ledwich. 2019. "Differential Dynamic Programming Based Home Energy Management Scheduler." IEEE Transactions on Sustainable Energy 11, no. 3: 1427-1437.
This paper proposes a new DC Arc-fault Detection method in battery modules using Decomposed Open-Close Alternating Sequence (DOCAS) based morphological filters. The proposed method relies on the State of health, state of charge and temperature measurements from battery management systems (BMS). The detailed electrochemical model of the battery is used, and the proposed DC arc-fault detector identifies the existence of an arcing fault by generating spikes at its output. The algorithm is enhanced by an adaptive threshold classifier for noise suppression. The proposed method is tested for different types of series and parallel DC arc-faults in Battery Energy storage systems. The simulation results demonstrate that effectiveness of the proposed method.
Moses Kavi; Yateendra Mishra; Yang Li; Don Mahinda Vilathgamuwa. Detection of DC Arc-Faults in Battery Energy Storage Systems. 2019 IEEE 13th International Conference on Power Electronics and Drive Systems (PEDS) 2019, 1 -5.
AMA StyleMoses Kavi, Yateendra Mishra, Yang Li, Don Mahinda Vilathgamuwa. Detection of DC Arc-Faults in Battery Energy Storage Systems. 2019 IEEE 13th International Conference on Power Electronics and Drive Systems (PEDS). 2019; ():1-5.
Chicago/Turabian StyleMoses Kavi; Yateendra Mishra; Yang Li; Don Mahinda Vilathgamuwa. 2019. "Detection of DC Arc-Faults in Battery Energy Storage Systems." 2019 IEEE 13th International Conference on Power Electronics and Drive Systems (PEDS) , no. : 1-5.
A risk-aware electricity retailer may alleviate concern about wholesale pool-price volatility through coordinated demand response (DR) trading with aggregators who act as intermediaries between end-users and the market operator (MO). This article proposes cost-efficient integration of DR into electricity markets using a bi-level optimisation framework. In the upper-level, the retailer's problem is to maximise expected payoff, i.e. revenues earned by selling energy to end-users minus the expected cost of purchasing from the wholesale energy pool and the DR aggregators. The evolving mean reverting volatility in pool electricity prices is captured as a stochastic jump-diffusion process. The conditional value-at-risk (CVaR) measure is explicitly incorporated into the problem to limit the risk of payoff loss due to the price volatility. The lower-level problem involves the aggregator's strategic bidding offer in which the primary objective of the MO is to minimise the DR transaction cost. In the DR offer setting, the conflicting economic interest to increase the aggregator's payoff is captured. A Lagrangian relaxation method with associated Karush Kuhn Tucker (KKT) optimality is used to solve these problems. The simulation results consider plausible case studies and provide the effectiveness of the proposed market model.
Nur Mohammad; Yateendra Mishra. Retailer's risk‐aware trading framework with demand response aggregators in short‐term electricity markets. IET Generation, Transmission & Distribution 2019, 13, 2611 -2618.
AMA StyleNur Mohammad, Yateendra Mishra. Retailer's risk‐aware trading framework with demand response aggregators in short‐term electricity markets. IET Generation, Transmission & Distribution. 2019; 13 (13):2611-2618.
Chicago/Turabian StyleNur Mohammad; Yateendra Mishra. 2019. "Retailer's risk‐aware trading framework with demand response aggregators in short‐term electricity markets." IET Generation, Transmission & Distribution 13, no. 13: 2611-2618.
This paper proposes a multiobjective home energy management unit (MO-HEMU) to balance the electricity payment and thermal discomfort of a household by properly scheduling devices in a time-varying price environment. The thermal discomfort is measured by the deviation of indoor and hot water temperature from the user’s ideal temperature. The home devices include solar Photovoltaics, a battery storage system, deferrable, and thermal appliances. The proposed MO-HEMU is formulated as a dynamic program and a method based on the approximated dynamic programming is used as the scheduling algorithm. The developed method, called multistep look-ahead algorithm, is an iterative algorithm that overcomes the curse of dimensionality of the exact DP by choosing a decision based on a limited number of stages ahead. The effectiveness of the proposed model is investigated through numerical simulations. The proposed MO-HEMU enables customers to find the desired trade-off between electricity payment and a discomfort level.
Babak Jeddi; Yateendra Mishra; Gerard Ledwich. Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach. 2019 IEEE Milan PowerTech 2019, 1 -6.
AMA StyleBabak Jeddi, Yateendra Mishra, Gerard Ledwich. Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach. 2019 IEEE Milan PowerTech. 2019; ():1-6.
Chicago/Turabian StyleBabak Jeddi; Yateendra Mishra; Gerard Ledwich. 2019. "Multiobjective Home Appliances Scheduling Considering Customer Thermal Discomfort: A Multistep Look-ahead ADP-Based Approach." 2019 IEEE Milan PowerTech , no. : 1-6.
Modern power grid is increasingly integrated with battery energy storage systems (BESSs). This paper deals with the problem of state-of-charge (SoC) balance control for multiple distributed BESSs in smart grid. The BESSs are expected to work cooperatively to not only fulfil the overall power requirement but also meet the constraints of the same relative SoC variation rate. To achieve this objective, a distributed SoC balance control approach is presented with event-triggered signal transmissions. It is designed with the dynamic average consensus (DAC) mechanism for parameter estimations. The DAC enables distributed control of each BESS through communicating with its neighboring BESSs. Different from traditional periodic signal transmission, the event-triggered signal transmission embedded in our approach allows each BESS to transmit signal to its neighboring BESSs only when needed, thus reducing the communication traffic. Theoretical lower bounds are established for consecutive interevent intervals such that the Zeno behavior is excluded. Case studies are conducted to demonstrate the effectiveness of the presented approach.
Lantao Xing; Yateendra Mishra; Yu-Chu Tian; Gerard Ledwich; Chunjie Zhou; Wenli Du; Feng Qian. Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2019, 49, 1601 -1611.
AMA StyleLantao Xing, Yateendra Mishra, Yu-Chu Tian, Gerard Ledwich, Chunjie Zhou, Wenli Du, Feng Qian. Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2019; 49 (8):1601-1611.
Chicago/Turabian StyleLantao Xing; Yateendra Mishra; Yu-Chu Tian; Gerard Ledwich; Chunjie Zhou; Wenli Du; Feng Qian. 2019. "Distributed State-of-Charge Balance Control With Event-Triggered Signal Transmissions for Multiple Energy Storage Systems in Smart Grid." IEEE Transactions on Systems, Man, and Cybernetics: Systems 49, no. 8: 1601-1611.