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Renewable energy resources like wind generation are being rapidly integrated into modern power systems. Energy storage systems (ESS) are being viewed as a game-changer for renewable integration due to their ability to absorb the variability and uncertainty arising from the wind generation. While abundant literature is available on system adequacy and operational reliability evaluation, operational adequacy studies considering wind and energy storage have received very little attention, despite their elevated significance. This work presents a novel framework that integrates wind power and energy storage models to a bulk power system model to sequentially evaluate the operational adequacy in the operational mission time. The analytical models are developed using a dynamic system state probability evaluation approach by incorporating a system state probability estimation technique, wind power probability distribution, state enumeration, state transition matrix, and time series analysis in order to quantify the operational adequacy of a bulk power system integrated with wind power and ESS. The loss of load probability (LOLP) is used as the operational adequacy index to quantify the spatio-temporal variation in risk resulting from the generation and load variations, their distribution on the network structure, and the operational strategies of the integrated ESS. The proposed framework is aimed to serve as a guideline for operational planning, thereby simplifying the decision-making process for system operators while considering resources like wind and energy storage facilities. The methodology is applied to a test system to quantify the reliability and economic benefits accrued from different operational strategies of energy storage in response to wind generation and other operational objectives in different system scenarios.
Tej Krishna Shrestha; Rajesh Karki. Utilizing Energy Storage for Operational Adequacy of Wind-Integrated Bulk Power Systems. Applied Sciences 2020, 10, 5964 .
AMA StyleTej Krishna Shrestha, Rajesh Karki. Utilizing Energy Storage for Operational Adequacy of Wind-Integrated Bulk Power Systems. Applied Sciences. 2020; 10 (17):5964.
Chicago/Turabian StyleTej Krishna Shrestha; Rajesh Karki. 2020. "Utilizing Energy Storage for Operational Adequacy of Wind-Integrated Bulk Power Systems." Applied Sciences 10, no. 17: 5964.
The random failure of components in a distribution network leads to power supply interruptions to electricity customers. Among different failure modes in the distribution network components, active failure is more frequent and requires the circuit breaker operations to isolate faulty segments. Active failure of a breaker causes the operation of a backup breaker, thus, exposing the larger segment of the network to outages. This paper proposes a new analytical methodology to identify breaker active failure events involving different order of contingencies. This methodology introduces an active breaker incidence (ABI) matrix to capture the active failure of breakers leading to load point failures. The ABI matrix is concatenated to the incidence matrix of the minimal path to form a new incidence matrix which reflects the information of all failure events including active failure of circuit breakers. These failure events are then utilized to evaluate the reliability indices. The proposed methodology is illustrated in a test distribution network. A study conducted on the IEEE Gold Book Standard Network shows that that the methodology effectively identifies and includes breaker failure events to evaluate the reliability performance, and that the proposed methodology can be utilized to make investment decisions in modern industrial distribution systems.
Kiran Raj Timalsena; Prasanna Piya; Rajesh Karki. A Novel Methodology to Incorporate Circuit Breaker Active Failure in Reliability Evaluation of Electrical Distribution Networks. IEEE Transactions on Power Systems 2020, 36, 1013 -1022.
AMA StyleKiran Raj Timalsena, Prasanna Piya, Rajesh Karki. A Novel Methodology to Incorporate Circuit Breaker Active Failure in Reliability Evaluation of Electrical Distribution Networks. IEEE Transactions on Power Systems. 2020; 36 (2):1013-1022.
Chicago/Turabian StyleKiran Raj Timalsena; Prasanna Piya; Rajesh Karki. 2020. "A Novel Methodology to Incorporate Circuit Breaker Active Failure in Reliability Evaluation of Electrical Distribution Networks." IEEE Transactions on Power Systems 36, no. 2: 1013-1022.
Power interruptions can cause significant financial losses to commercial and industrial customers. Backup generators and multiple utility supply feeders are often employed to improve the reliability and minimize such losses. The customer reliability depends not only on the service entrance reliability and backup generator system but also on the reliability of the components, such as circuit breakers, cables, bus bars, etc., used in the distribution facilities of the customers. This paper investigates the reliability impacts of investing in the backup generation and high-quality system components on industrial/commercial distribution systems supplied with different levels of service entrance reliability. The effects of different levels of redundancy in the backup generation and their start times are also examined. The IEEE Std 493-2007 Gold Book network is used for the illustration using data provided by the US Army Corp (PREP). The case studies presented can provide valuable insight to commercial/industrial customers for making efficient decisions for reliability investment.
Kiran Raj Timalsena; Rajesh Karki; Prasanna Piya; Safal Bhattarai. Need-based reliability investment in industrial/commercial power distribution systems. International Journal of System Assurance Engineering and Management 2020, 11, 747 -754.
AMA StyleKiran Raj Timalsena, Rajesh Karki, Prasanna Piya, Safal Bhattarai. Need-based reliability investment in industrial/commercial power distribution systems. International Journal of System Assurance Engineering and Management. 2020; 11 (3):747-754.
Chicago/Turabian StyleKiran Raj Timalsena; Rajesh Karki; Prasanna Piya; Safal Bhattarai. 2020. "Need-based reliability investment in industrial/commercial power distribution systems." International Journal of System Assurance Engineering and Management 11, no. 3: 747-754.
Prajjwal Gautam; Prasanna Piya; Rajesh Karki. Resilience Assessment of Distribution Systems Integrated With Distributed Energy Resources. IEEE Transactions on Sustainable Energy 2020, 12, 338 -348.
AMA StylePrajjwal Gautam, Prasanna Piya, Rajesh Karki. Resilience Assessment of Distribution Systems Integrated With Distributed Energy Resources. IEEE Transactions on Sustainable Energy. 2020; 12 (1):338-348.
Chicago/Turabian StylePrajjwal Gautam; Prasanna Piya; Rajesh Karki. 2020. "Resilience Assessment of Distribution Systems Integrated With Distributed Energy Resources." IEEE Transactions on Sustainable Energy 12, no. 1: 338-348.
Climatic hydrological changes cause considerable seasonal and yearly energy variation in hydro dominant electric power systems. Extreme weather events are becoming more frequent in recent years causing dramatic impacts on energy availability in such systems. A significant amount of energy is often wasted due to reservoir overflow during wet seasons. By contrast, the scarcity of water in dry seasons results in inadequate power generation to meet the system demand, and therefore degrades overall system reliability. The high risks associated with an extreme dry hydrological condition should not be ignored in long term system adequacy planning of hydro dominant utilities. This paper presents a probabilistic method to incorporate diurnal, seasonal and yearly energy management strategies in run-of-river and storage type hydropower plant planning and operation in order to minimize the adverse impact of energy uncertainty and maintain long-term system adequacy. The impacts of reservoir capacity and demand side management on water utilization and system reliability are investigated with case studies illustrated using the IEEE Reliability Test System modified to create a hydro dominant system. The achieved benefits of reliability enhancement strategies are analyzed and compared in this paper.
Fang Fang; Rajesh Karki; Prasanna Piya. Probabilistic Reliability Enhancement Strategies of Hydro Dominant Power Systems under Energy Uncertainty. Sustainability 2020, 12, 3663 .
AMA StyleFang Fang, Rajesh Karki, Prasanna Piya. Probabilistic Reliability Enhancement Strategies of Hydro Dominant Power Systems under Energy Uncertainty. Sustainability. 2020; 12 (9):3663.
Chicago/Turabian StyleFang Fang; Rajesh Karki; Prasanna Piya. 2020. "Probabilistic Reliability Enhancement Strategies of Hydro Dominant Power Systems under Energy Uncertainty." Sustainability 12, no. 9: 3663.
Stochastic failures in a distribution network result in different reliability events, such as voltage sags and momentary and sustained interruptions, causing significant financial losses for many customers. Strategic utilization of energy storage system (ESS) can help mitigate these reliability events. This paper investigates the role of ESS toward providing reliability solutions in the context of an active distribution system. In this regard, scenario-based probabilistic modeling of reliability event mitigation with the ESS is presented, which is integrated into the reliability evaluation framework. The proposed approach is efficient in assessing reliability solutions with ESS considering storage technology type, power/energy rating, hardware availability, presence of other distributed energy resources, etc. A range of case studies is conducted to evaluate mitigation of reliability events at a different level of the distribution system. Valuable insights into the efficient utilization of ESS are provided based on findings.
Prajjwal Gautam; Prasanna Piya; Rajesh Karki. Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems. Applied Sciences 2019, 9, 4392 .
AMA StylePrajjwal Gautam, Prasanna Piya, Rajesh Karki. Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems. Applied Sciences. 2019; 9 (20):4392.
Chicago/Turabian StylePrajjwal Gautam; Prasanna Piya; Rajesh Karki. 2019. "Utilizing Energy Storage for Reliability Solutions in Active Distribution Systems." Applied Sciences 9, no. 20: 4392.
Rising uncertainty in power systems due to ongoing system and operational changes has led to increasing risks in operating a system in a reliable and economic manner. There are growing reliability concerns with the widely used methods, such as the N-1 criterion, to determine operating reserve requirement during unit commitment, and the economic load dispatch method to allocate regulating margin to respond to disturbances. These deterministic methods do not consider the uncertainty or stochastic nature of power systems and are often inadequate to maintain the required operating reliability of modern power systems. This paper introduces a reliability index, designated as the committed generators’ response risk (CGRR) that can be used to maintain a specified level of operating reliability. A probabilistic method to evaluate the CGRR is presented and validated using a Monte Carlo simulation technique. An application of the new index and the methodology is illustrated using the IEEE Reliability Test System. The CGRR provides a comprehensive operating risk measurement of the committed generation until further assistance is available to support the system, and therefore helps operators in decision making for unit commitment and dispatch of the generating units to meet the projected load in the short future time.
Nahakul Nepal; Rajesh Karki. Quantifying Power System Operational Reliability. Applied Sciences 2019, 9, 2777 .
AMA StyleNahakul Nepal, Rajesh Karki. Quantifying Power System Operational Reliability. Applied Sciences. 2019; 9 (14):2777.
Chicago/Turabian StyleNahakul Nepal; Rajesh Karki. 2019. "Quantifying Power System Operational Reliability." Applied Sciences 9, no. 14: 2777.
Integration of an energy storage system (ESS) into a distribution network not only affects the supply reliability of the customer, but also has distinct reliability implications and consequences to the utility. The reliability value associated with an ESS highly depends on the ownership, market and regulatory structures. This paper presents a probabilistic framework to evaluate the reliability value of ESS to the distribution system considering aforementioned factors. In this regard, a new probabilistic reliability model of ESS is developed and integrated into a sequential Monte Carlo based simulation framework. The developed ESS model consists of the Markov based component model and the mixed integer linear programming based formulation of operating strategies that incorporate different scenarios of ownership, market structures, and the ESS characteristics. The reliability/financial risk performance of the Distribution System Operator (DSO) with ESS under quality regulations are quantified. Furthermore, the developed ESS model is utilized to explore the prospect of investor-owned ESS providing supply recovery and distribution grid capacity services to the DSO. Case studies are conducted on a test distribution network to show the effectiveness of the proposed model. Finally, the paper presents discussions on important considerations for efficient utilization of ESS in active distribution systems.
Prajjwal Gautam; Rajesh Karki; Prasanna Piya. Probabilistic Modeling of Energy Storage to Quantify Market Constrained Reliability Value to Active Distribution Systems. IEEE Transactions on Sustainable Energy 2019, 11, 1043 -1053.
AMA StylePrajjwal Gautam, Rajesh Karki, Prasanna Piya. Probabilistic Modeling of Energy Storage to Quantify Market Constrained Reliability Value to Active Distribution Systems. IEEE Transactions on Sustainable Energy. 2019; 11 (2):1043-1053.
Chicago/Turabian StylePrajjwal Gautam; Rajesh Karki; Prasanna Piya. 2019. "Probabilistic Modeling of Energy Storage to Quantify Market Constrained Reliability Value to Active Distribution Systems." IEEE Transactions on Sustainable Energy 11, no. 2: 1043-1053.
With the increased uncertainty in the power system operation due to growing penetration of highly intermittent energy sources such as wind power, the need for the impact assessment of the renewable penetration on system operating risk and the quantification of benefits of using energy storage technologies is more than ever. A recovery-risk-analysis based analytical framework for operating risk assessment of windintegrated bulk power system following a major contingency disturbance is presented in this paper. Two new indices that quantify the recovery risk profile of the bulk power system and its load delivery points following major disturbances are introduced in this work. The indices obtained from the proposed framework quantifies the impact of increasing wind penetration on the system operating risk and the reliability benefits of using fast-responding energy storage system such as flywheel energy storage systems. The proposed methodology is illustrated through several case studies carried out in a test system.
Saket Adhikari; Rajesh Karki; Prasanna Piya. Recovery Risk Mitigation of Wind Integrated Bulk Power System With Flywheel Energy Storage. IEEE Transactions on Power Systems 2019, 34, 3484 -3493.
AMA StyleSaket Adhikari, Rajesh Karki, Prasanna Piya. Recovery Risk Mitigation of Wind Integrated Bulk Power System With Flywheel Energy Storage. IEEE Transactions on Power Systems. 2019; 34 (5):3484-3493.
Chicago/Turabian StyleSaket Adhikari; Rajesh Karki; Prasanna Piya. 2019. "Recovery Risk Mitigation of Wind Integrated Bulk Power System With Flywheel Energy Storage." IEEE Transactions on Power Systems 34, no. 5: 3484-3493.
Growth of renewable power penetration has exposed modern power systems to high operating risks, due to intermittency and uncertainty inherent in such energy sources. It is therefore essential to assess the associated risks and explore potential resources to mitigate these risks. This paper presents a novel approach for response risk evaluation of wind-integrated power system. The proposed approach utilizes a probabilistic integrated disturbance model and introduces a new comparative risk index designated as the Response Risk Multiplication Factor (RRMF) to quantify the impact of increasing penetration of wind power and the contribution of flywheel energy storage system (FESS) on the power system operational reliability. The developed model incorporates the wind-power uncertainty, the specific charge/discharge, storage performance and failure characteristics of FESS and embeds the posterior probability approach to utilize the known information on time of day and FESS SOC. The developed model is applied to the IEEE Reliability Test System to illustrate its usability in assessment of the impact on power system operating risk due to large operating penetration of wind power and effectiveness of FESS in risk mitigation.
Saket Adhikari; Rajesh Karki. Integrated Disturbance Response Modeling of Wind-Integrated Power Systems to Quantify the Operational Reliability Benefits of Flywheel Energy Storage. IEEE Transactions on Sustainable Energy 2018, 10, 1152 -1160.
AMA StyleSaket Adhikari, Rajesh Karki. Integrated Disturbance Response Modeling of Wind-Integrated Power Systems to Quantify the Operational Reliability Benefits of Flywheel Energy Storage. IEEE Transactions on Sustainable Energy. 2018; 10 (3):1152-1160.
Chicago/Turabian StyleSaket Adhikari; Rajesh Karki. 2018. "Integrated Disturbance Response Modeling of Wind-Integrated Power Systems to Quantify the Operational Reliability Benefits of Flywheel Energy Storage." IEEE Transactions on Sustainable Energy 10, no. 3: 1152-1160.
Malhar Padhee; Rajesh Karki. Bulk system reliability impacts of forced wind energy curtailment. AIMS Energy 2018, 6, 505 -520.
AMA StyleMalhar Padhee, Rajesh Karki. Bulk system reliability impacts of forced wind energy curtailment. AIMS Energy. 2018; 6 (3):505-520.
Chicago/Turabian StyleMalhar Padhee; Rajesh Karki. 2018. "Bulk system reliability impacts of forced wind energy curtailment." AIMS Energy 6, no. 3: 505-520.
This chapter titled “Sustainable Energy Optimization in a Smart Microgrid” presented the methodology for developing a smart microgrid optimization model that can be used to determine the most financially economical combination of microgrid technologies with acceptable level of system reliability. The smart microgrid optimization model assessed various combinations of PV and wind turbine renewable generation in increments of 5 kW varying between 0 and 200 kW. Battery energy storage was also considered in combination with renewable generation in increments of 5 kWh from 0 to 200 kWh. The smart microgrid optimization model was developed in the MATLAB environment and incorporated a smart microgrid management system to achieve additional fuel savings and increased system reliability by utilizing load shedding and load deferral techniques. Microgrid power system reliability was assessed using an SMCS simulation model. The accuracy of the model was verified using the SIPSREL program developed at the University of Saskatchewan. Results indicated that the implementation of renewable generation, battery energy storage and DSM techniques can substantially reduce the lifetime operational costs of a microgrid while increasing power system reliability. Implementation of energy storage technologies to reduce fossil fuel consumption as well as to increase renewable generation penetration is an area of ongoing research, as is the application of microgrid technology to improve remote power system reliability.
Ryan Jansen; Rajesh Karki. Sustainable Energy Optimization in a Smart Microgrid. Sustainable Power Systems 2017, 111 -132.
AMA StyleRyan Jansen, Rajesh Karki. Sustainable Energy Optimization in a Smart Microgrid. Sustainable Power Systems. 2017; ():111-132.
Chicago/Turabian StyleRyan Jansen; Rajesh Karki. 2017. "Sustainable Energy Optimization in a Smart Microgrid." Sustainable Power Systems , no. : 111-132.
Wind is rapidly emerging as an important energy source in electric power systems. As wind penetration increases to relatively large scales, it becomes important in system planning to assess the capacity value and reliability impacts of wind resources, as well as the renewable energy utilization and the environmental benefits from them. Wind farms are at the top of the priority loading order, and all the wind energy generated is utilized to serve the load in scenarios where wind penetration is relatively low. In high wind penetration scenario, however, wind energy is occasionally spilled or curtailed due the limitations in operating reserve or ramping capability of the scheduled generating units. It becomes increasingly important to account for the wind curtailment scenarios and wind diversity effects when considering large scale wind power in capacity planning. Wind curtailment scenarios in different operating conditions have been analyzed in this paper by considering typical conventional generating units and their operating characteristics. Subsequently, an analytical technique for reliability and energy assessment is developed which incorporates the wind diversity and wind curtailment effects. The applications of the developed method to quantify the reliability, energy and environmental benefits of wind power are illustrated on a practical power system.
Malhar Padhee; Rajesh Karki. Reliability/environmental impacts of wind energy curtailment due to ramping constraints. International Journal of System Assurance Engineering and Management 2016, 1 -10.
AMA StyleMalhar Padhee, Rajesh Karki. Reliability/environmental impacts of wind energy curtailment due to ramping constraints. International Journal of System Assurance Engineering and Management. 2016; ():1-10.
Chicago/Turabian StyleMalhar Padhee; Rajesh Karki. 2016. "Reliability/environmental impacts of wind energy curtailment due to ramping constraints." International Journal of System Assurance Engineering and Management , no. : 1-10.
Variability of wind power is one of the main concerns of power system operation with significant wind power. Energy storage can be employed in conjunction with wind power to reduce the uncertainty associated with wind power. This study assumes the storage facility being operated by the wind farm operator for the explicit purpose of minimising the risk of wind power commitment. A time-dependent wind power model is developed in conjunction with the energy storage model for short operating lead times that are conditional on the initial wind and storage conditions. This study presents a probabilistic method to assess the reliability contribution of energy storage using two probabilistic indices: the wind power commitment risk and the unit commitment risk.
Suman Thapa; Rajesh Karki. Reliability benefit of energy storage in wind integrated power system operation. IET Generation, Transmission & Distribution 2016, 10, 807 -814.
AMA StyleSuman Thapa, Rajesh Karki. Reliability benefit of energy storage in wind integrated power system operation. IET Generation, Transmission & Distribution. 2016; 10 (3):807-814.
Chicago/Turabian StyleSuman Thapa; Rajesh Karki. 2016. "Reliability benefit of energy storage in wind integrated power system operation." IET Generation, Transmission & Distribution 10, no. 3: 807-814.
Environmental concerns caused by burning fossil fuel and the safety concerns associated with nuclear power plants have led to increased interest and investment in wind power. Wind penetration in power systems has been rapidly increasing worldwide and has resulted in increased variability and uncertainty in power generation. Proper modeling of the wind resource has, therefore, become increasingly important in modern wind-integrated power systems. The correlation between wind speeds at multiple wind farms considerably affects the overall variability of wind power generation. Many power utilities are considering expansion to multiple wind farms. Analysis of wind power at different sites requires sufficient time-synchronized wind data in order to incorporate their cross-correlations in the evaluation model. Such data are usually not available or very limited for many prospective wind sites that may be considered in energy planning or policy making. This paper proposes a simple analytical method to develop approximate wind models when time-synchronized wind data for two wind sites are not available and further extends the method to incorporate more than two wind sites.
Dinesh Dhungana; Rajesh Karki. Data Constrained Adequacy Assessment for Wind Resource Planning. IEEE Transactions on Sustainable Energy 2014, 6, 219 -227.
AMA StyleDinesh Dhungana, Rajesh Karki. Data Constrained Adequacy Assessment for Wind Resource Planning. IEEE Transactions on Sustainable Energy. 2014; 6 (1):219-227.
Chicago/Turabian StyleDinesh Dhungana; Rajesh Karki. 2014. "Data Constrained Adequacy Assessment for Wind Resource Planning." IEEE Transactions on Sustainable Energy 6, no. 1: 219-227.
There are diverse visions on how to go about achieving reliability, energy conservation, and efficiency with environmental compliance through the inter-disciplinary integration of information and communication technologies (ICT) and power system technologies to facilitate the modernization of grids. The paradigm of smart grid has been brought forward and is being continually improvised to cater to the energy demands of the twenty-first century. However, the term “reliability” used in invariably defining and outlining the characteristic features of smart grids seems to be in a generic context, and more often than not qualitative. The aim of this chapter is to appraise the challenges presented by the envisioned transformation towards Smart grids in terms of capturing the anticipated quantitative reliability benefits and the growing need for allied reliability-related studies.
Vijay Venu Vadlamudi; Rajesh Karki; Gerd H. Kjølle; Kjell Sand. Reliability-Centric Studies in Smart Grids: Adequacy and Vulnerability Considerations. Reliability Modeling and Analysis of Smart Power Systems 2014, 1 -15.
AMA StyleVijay Venu Vadlamudi, Rajesh Karki, Gerd H. Kjølle, Kjell Sand. Reliability-Centric Studies in Smart Grids: Adequacy and Vulnerability Considerations. Reliability Modeling and Analysis of Smart Power Systems. 2014; ():1-15.
Chicago/Turabian StyleVijay Venu Vadlamudi; Rajesh Karki; Gerd H. Kjølle; Kjell Sand. 2014. "Reliability-Centric Studies in Smart Grids: Adequacy and Vulnerability Considerations." Reliability Modeling and Analysis of Smart Power Systems , no. : 1-15.
The financial viability of the inclusion of a smart micro-grid monitoring and management system is presented in this paper. The smart micro-grid management system monitors distributed generation characteristics from various sources, and performs load curtailment and/or load deferral when and where possible to transfer energy use to periods of less expensive generation. A base case off-grid system using propane generators is presented and optimized to include renewable generation and battery storage. The smart micro-grid management system is then added to curtail and shift consumer loads to achieve energy efficiency and financial benefit to the system.
Ryan Jansen; Rajesh Karki. Development of a smart micro-grid management system. International Journal of System Assurance Engineering and Management 2014, 6, 110 -118.
AMA StyleRyan Jansen, Rajesh Karki. Development of a smart micro-grid management system. International Journal of System Assurance Engineering and Management. 2014; 6 (2):110-118.
Chicago/Turabian StyleRyan Jansen; Rajesh Karki. 2014. "Development of a smart micro-grid management system." International Journal of System Assurance Engineering and Management 6, no. 2: 110-118.
Wind power generation is significantly different from conventional thermal and hydro power generation in the sense that the wind power is governed by the atmosphere and cannot be dispatched like the conventional units in order to respond to the system requirements. The operational reliability of a conventional system depends on the failures of the committed units and the lead time of the next available unit. The reliability contribution of a wind turbine generator is mainly governed by the variability of wind speed at the wind site. A short-term wind model developed for the specific lead time should be suitably combined with the other committed units to evaluate the operational reliability of a power system with significant wind penetration. The area risk concept, previously developed to evaluate the reliability contribution of rapid start units and hot reserve units that are committed later in the lead time, is extended in this paper to incorporate wind power in evaluating the system reliability. The developed method is applied to the IEEE-RTS to evaluate the operational system well-being indices.
Suman Thapa; Rajesh Karki; Roy Billinton. Utilization of the Area Risk Concept for Operational Reliability Evaluation of a Wind-Integrated Power System. IEEE Transactions on Power Systems 2013, 28, 4771 -4779.
AMA StyleSuman Thapa, Rajesh Karki, Roy Billinton. Utilization of the Area Risk Concept for Operational Reliability Evaluation of a Wind-Integrated Power System. IEEE Transactions on Power Systems. 2013; 28 (4):4771-4779.
Chicago/Turabian StyleSuman Thapa; Rajesh Karki; Roy Billinton. 2013. "Utilization of the Area Risk Concept for Operational Reliability Evaluation of a Wind-Integrated Power System." IEEE Transactions on Power Systems 28, no. 4: 4771-4779.
Wind power is regarded as the most suitable environment friendly alternative to conventional bulk power generation. Many countries around the world are rapidly installing wind farms, and several nations have already arrived at a position where a significant portion of their electric energy supply is contributed by wind power. Wind power generation is mainly dependant on the wind characteristics at the particular location and has an uncertain and random nature.
Suman Thapa; Rajesh Karki; Roy Billinton. Application of Hourly Time Series Models in Day-ahead Wind Power Commitment. Reliability and Risk Evaluation of Wind Integrated Power Systems 2013, 45 -58.
AMA StyleSuman Thapa, Rajesh Karki, Roy Billinton. Application of Hourly Time Series Models in Day-ahead Wind Power Commitment. Reliability and Risk Evaluation of Wind Integrated Power Systems. 2013; ():45-58.
Chicago/Turabian StyleSuman Thapa; Rajesh Karki; Roy Billinton. 2013. "Application of Hourly Time Series Models in Day-ahead Wind Power Commitment." Reliability and Risk Evaluation of Wind Integrated Power Systems , no. : 45-58.
Adverse environmental impacts of carbon emissions are causing increasing concerns to the general public throughout the world. Electric energy generation from conventional energy sources is considered to be a major contributor to these harmful emissions. High emphasis is therefore being given to green alternatives of energy, such as wind and solar. Wind energy is being perceived as a promising alternative. This source of energy technology and its applications have undergone significant research and development over the past decade. As a result, many modern power systems include a significant portion of power generation from wind energy sources. The impact of wind generation on the overall system performance increases substantially as wind penetration in power systems continues to increase to relatively high levels. It becomes increasingly important to accurately model the wind behavior, the interaction with other wind sources and conventional sources, and incorporate the characteristics of the energy demand in order to carry out a realistic evaluation of system reliability. Power systems with high wind penetrations are often connected to multiple wind farms at different geographic locations. Wind speed correlations between the different wind farms largely affect the total wind power generation characteristics of such systems, and therefore should be an important parameter in the wind modeling process. This paper evaluates the effect of the correlation between multiple wind farms on the adequacy indices of wind-integrated systems. The paper also proposes a simple and appropriate probabilistic analytical model that incorporates wind correlations, and can be used for adequacy evaluation of multiple wind-integrated systems.
Rajesh Karki; Dinesh Dhungana; Roy Billinton. An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations. Applied Sciences 2013, 3, 107 -121.
AMA StyleRajesh Karki, Dinesh Dhungana, Roy Billinton. An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations. Applied Sciences. 2013; 3 (1):107-121.
Chicago/Turabian StyleRajesh Karki; Dinesh Dhungana; Roy Billinton. 2013. "An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations." Applied Sciences 3, no. 1: 107-121.