Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281902
H. Fan, Zhi-gang Su, Pei-hong Wang, Kwang Y. Lee
With recent development of renewable energy, the once-through boiler-turbine (OTBT) units in China are required to improve operating flexibility in order to absorb more renewable energy integrated into power grid. However, it is a challenge for control systems to provide load following capability while maintaining safe operation. To this end, this paper proposes a dynamic nonlinear model of OTBT units by incorporating superheated steam temperature dynamics. Model structure is derived from mass and energy conservation laws by using a lumped parameter method, and parameters and functions in the structure are identified by using an optimization algorithm with running data. Besides, the model proposed contains the influence of total spray water flow on steam enthalpy in separator and on superheated steam temperature. Validation results show that the proposed model has acceptable steady-state and dynamic accuracies as well as a proper physical structure, and it can be used for controller design to improve control performance.
{"title":"A Dynamic Nonlinear Model of Once-Through Boiler Turbine Units with Superheated Steam Temperature","authors":"H. Fan, Zhi-gang Su, Pei-hong Wang, Kwang Y. Lee","doi":"10.1109/PESGM41954.2020.9281902","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281902","url":null,"abstract":"With recent development of renewable energy, the once-through boiler-turbine (OTBT) units in China are required to improve operating flexibility in order to absorb more renewable energy integrated into power grid. However, it is a challenge for control systems to provide load following capability while maintaining safe operation. To this end, this paper proposes a dynamic nonlinear model of OTBT units by incorporating superheated steam temperature dynamics. Model structure is derived from mass and energy conservation laws by using a lumped parameter method, and parameters and functions in the structure are identified by using an optimization algorithm with running data. Besides, the model proposed contains the influence of total spray water flow on steam enthalpy in separator and on superheated steam temperature. Validation results show that the proposed model has acceptable steady-state and dynamic accuracies as well as a proper physical structure, and it can be used for controller design to improve control performance.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127868868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281914
Xiaoyu Cao, Jianxue Wang, Jianhui Wang, Bo Zeng
The advanced switching techniques enable the topology reconfiguration of microgrids in active distribution network. In this paper, we enhance and generalize the traditional reconfiguration strategy resorting to the concept of “dynamic microgrids” (i.e., the reorganization of microgrids boundaries), to achieve a higher operational feasibility against the emergency islandings. Also, a risk-averse two-stage mixed integer conic program model is presented to support the networked microgrids planning with generalized reconfiguration decisions. The microgrids capacity expansion and seasonal reconfiguration decisions are made in the first stage, and validated under stochastic islanding scenarios in the second stage, where the network operations are captured by a second-order conic program (SOCP). Furthermore, a conditional value-at-risk (CVaR) measure is involved to quantitatively control the islanding risks. By theoretically proving the strong duality of the SOCP subproblem, we develop and customize Benders decomposition method with the guaranteed finite convergence to the optimal value. Finally, numerical results on 33- and 56-bus networked microgrids validate the effectiveness of proposed reconfiguration strategy as well as planning approach. Our method demonstrates a cost-saving up to 22.56% when comparing to the traditional scheme with fixed microgrids boundaries.
{"title":"A Risk-Averse Conic Model for Networked Microgrids Planning with Reconfiguration and Reorganizations","authors":"Xiaoyu Cao, Jianxue Wang, Jianhui Wang, Bo Zeng","doi":"10.1109/PESGM41954.2020.9281914","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281914","url":null,"abstract":"The advanced switching techniques enable the topology reconfiguration of microgrids in active distribution network. In this paper, we enhance and generalize the traditional reconfiguration strategy resorting to the concept of “dynamic microgrids” (i.e., the reorganization of microgrids boundaries), to achieve a higher operational feasibility against the emergency islandings. Also, a risk-averse two-stage mixed integer conic program model is presented to support the networked microgrids planning with generalized reconfiguration decisions. The microgrids capacity expansion and seasonal reconfiguration decisions are made in the first stage, and validated under stochastic islanding scenarios in the second stage, where the network operations are captured by a second-order conic program (SOCP). Furthermore, a conditional value-at-risk (CVaR) measure is involved to quantitatively control the islanding risks. By theoretically proving the strong duality of the SOCP subproblem, we develop and customize Benders decomposition method with the guaranteed finite convergence to the optimal value. Finally, numerical results on 33- and 56-bus networked microgrids validate the effectiveness of proposed reconfiguration strategy as well as planning approach. Our method demonstrates a cost-saving up to 22.56% when comparing to the traditional scheme with fixed microgrids boundaries.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134497646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281606
Bo Zhou, X. Ai, Jiakun Fang, W. Yao, J. Wen
To guarantee the operational security of the renewable power system, the uncertainty of renewable energy generation (REG) should be fully considered. However, the traditional robust unit commitment (RUC) cannot access the variation of REG inside the operational period. Hence, this paper proposes the continuous-trajectory (CT) RUC considering the beyond-the-resolution (BtR) uncertainty. The critical impact factors characterizing the BtR variation are analyzed, and then the BtR uncertainty is modeled. The mathematical formulation of CT-RUC is derived and shifted from the time domain to the time-dependent function space so that the optimization can be tractably solved. The comparison between traditional RUC and CT-RUC demonstrates that the consideration of the BtR uncertainty can result in a more robust solution.
{"title":"Continuous-Trajectory Robust Unit Commitment Considering Beyond-the-Resolution Uncertainty","authors":"Bo Zhou, X. Ai, Jiakun Fang, W. Yao, J. Wen","doi":"10.1109/PESGM41954.2020.9281606","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281606","url":null,"abstract":"To guarantee the operational security of the renewable power system, the uncertainty of renewable energy generation (REG) should be fully considered. However, the traditional robust unit commitment (RUC) cannot access the variation of REG inside the operational period. Hence, this paper proposes the continuous-trajectory (CT) RUC considering the beyond-the-resolution (BtR) uncertainty. The critical impact factors characterizing the BtR variation are analyzed, and then the BtR uncertainty is modeled. The mathematical formulation of CT-RUC is derived and shifted from the time domain to the time-dependent function space so that the optimization can be tractably solved. The comparison between traditional RUC and CT-RUC demonstrates that the consideration of the BtR uncertainty can result in a more robust solution.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114812671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281871
Boya Hou, S. Bose, K. Haran
Electrification of aviation can potentially mitigate carbon emissions of air travel. Battery-electric and hybrid electric aircraft will impose charging requirements on airports. In this paper, we study the impacts of electrification on electricity demands at O’Hare International (ORD) airport. We consider the scenario where domestic US carriers partially adopt hybrid electric aircraft (HEA), but operate their airplanes based on current flight schedules. Under various battery technology evolution scenarios, we then compute the increase in electricity demand (both daily average and peak) to operate flights at ORD. The data analysis reveals substantial increase in airport energy demands that demands grid upgrades at airports.
{"title":"Powering Electric Aircraft at O’Hare Airport: A Case Study","authors":"Boya Hou, S. Bose, K. Haran","doi":"10.1109/PESGM41954.2020.9281871","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281871","url":null,"abstract":"Electrification of aviation can potentially mitigate carbon emissions of air travel. Battery-electric and hybrid electric aircraft will impose charging requirements on airports. In this paper, we study the impacts of electrification on electricity demands at O’Hare International (ORD) airport. We consider the scenario where domestic US carriers partially adopt hybrid electric aircraft (HEA), but operate their airplanes based on current flight schedules. Under various battery technology evolution scenarios, we then compute the increase in electricity demand (both daily average and peak) to operate flights at ORD. The data analysis reveals substantial increase in airport energy demands that demands grid upgrades at airports.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114514653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281745
G. Todeschini, S. Balasubramaniam, P. Igić
Due to the interaction converter control, pre-existing distortion and grid impedance, the harmonic levels caused by renewable energy sources (RESs) are continuously changing, and their assessment requires the use of dedicated computer models. Several time-domain models have been proposed to carry out this analysis, however, they fall short of at least one requirement: either they do not provide accurate results, or they require an excessively long simulation time. This paper presents a novel time-domain model to address the gap described above: the proposed model employs average functions and a novel switching emulator. Therefore, it is referred to as ‘average model with switching emulator’ (AMSE). The proposed model is compared with existing models, and the results indicate that the AMSE meet both requirements stated above, as it accurately represents harmonic distortion while reducing significantly the simulation time. The second part of the paper discusses mitigating solutions to harmonic amplification in systems with a high penetration of VSCs, and shows the effectiveness of using an Active Filter to reduce harmonic levels in system experiencing resonance conditions.
{"title":"Time-domain Modeling of a Distribution System to Predict Harmonic Interaction Between PV Converters","authors":"G. Todeschini, S. Balasubramaniam, P. Igić","doi":"10.1109/PESGM41954.2020.9281745","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281745","url":null,"abstract":"Due to the interaction converter control, pre-existing distortion and grid impedance, the harmonic levels caused by renewable energy sources (RESs) are continuously changing, and their assessment requires the use of dedicated computer models. Several time-domain models have been proposed to carry out this analysis, however, they fall short of at least one requirement: either they do not provide accurate results, or they require an excessively long simulation time. This paper presents a novel time-domain model to address the gap described above: the proposed model employs average functions and a novel switching emulator. Therefore, it is referred to as ‘average model with switching emulator’ (AMSE). The proposed model is compared with existing models, and the results indicate that the AMSE meet both requirements stated above, as it accurately represents harmonic distortion while reducing significantly the simulation time. The second part of the paper discusses mitigating solutions to harmonic amplification in systems with a high penetration of VSCs, and shows the effectiveness of using an Active Filter to reduce harmonic levels in system experiencing resonance conditions.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114519398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9282006
A. Narayan, Batoul Hage Hassan, S. Attarha, C. Krüger, D. Babazadeh, S. Lehnhoff
Provision of grid services in modern power systems is highly dependent on their automation systems for monitoring, communication and decision making. These automation systems are vital for the reliable operation of the grid during and after disruptive events. This papers explores the concept of Grid Function Virtualization (GFV) as a potential approach to enhance the operational flexibility of grid automation systems. To this end, a review on applications of virtualization in related domains including smart grids is presented. Furthermore, the GFV architecture along with its building blocks is discussed. The benefits of the proposed GFV concept in dealing with power system disruptions is then demonstrated via real time simulations with an ICT-enriched CIGRE MV benchmark grid.
{"title":"Grid Function Virtualization for Reliable Provision of Services in Cyber-Physical Energy Systems","authors":"A. Narayan, Batoul Hage Hassan, S. Attarha, C. Krüger, D. Babazadeh, S. Lehnhoff","doi":"10.1109/PESGM41954.2020.9282006","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282006","url":null,"abstract":"Provision of grid services in modern power systems is highly dependent on their automation systems for monitoring, communication and decision making. These automation systems are vital for the reliable operation of the grid during and after disruptive events. This papers explores the concept of Grid Function Virtualization (GFV) as a potential approach to enhance the operational flexibility of grid automation systems. To this end, a review on applications of virtualization in related domains including smart grids is presented. Furthermore, the GFV architecture along with its building blocks is discussed. The benefits of the proposed GFV concept in dealing with power system disruptions is then demonstrated via real time simulations with an ICT-enriched CIGRE MV benchmark grid.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117056468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281982
B. Bhatti, Sarmad Hanif, M. Alam, T. Mcdermott, P. Balducci
A combined day-ahead (look-ahead) and real-time optimization approach is proposed to schedule Battery Energy Storage System (BESS) real and reactive power dispatch. The look ahead scheduling agent maximizes profit and essentially performs the function of energy arbitrage by looking at forecasted prices, network constraints and BESS operating conditions to generate real power dispatch schedule. While this schedule is followed, the real time optimization agent computes an optimum reactive power set-point (for a particular objective function) using optimal power flow framework. The concepts are implemented by co-simulation of the legacy tools and demonstrated on a large real-world distribution system. In addition to the profits from energy arbitrage, optimum reactive power set point computation results in achieving desirable network attributes like flat voltage profiles and minimizing voltage deviations from desired value.
{"title":"A Combined Day-ahead and Real-time Scheduling Approach for Real and Reactive Power Dispatch of Battery Energy Storage","authors":"B. Bhatti, Sarmad Hanif, M. Alam, T. Mcdermott, P. Balducci","doi":"10.1109/PESGM41954.2020.9281982","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281982","url":null,"abstract":"A combined day-ahead (look-ahead) and real-time optimization approach is proposed to schedule Battery Energy Storage System (BESS) real and reactive power dispatch. The look ahead scheduling agent maximizes profit and essentially performs the function of energy arbitrage by looking at forecasted prices, network constraints and BESS operating conditions to generate real power dispatch schedule. While this schedule is followed, the real time optimization agent computes an optimum reactive power set-point (for a particular objective function) using optimal power flow framework. The concepts are implemented by co-simulation of the legacy tools and demonstrated on a large real-world distribution system. In addition to the profits from energy arbitrage, optimum reactive power set point computation results in achieving desirable network attributes like flat voltage profiles and minimizing voltage deviations from desired value.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"12 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116399253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281769
Lusha Wang, J. Kwon, Omer Verbas, A. Rousseau, Zhi Zhou
The distribution system operation and planning are facing a great challenge from the increasing penetration of electric vehicles, especially in case of large amount of aggregated simultaneously charging load at public charging stations. This paper proposes a comprehensive planning method for allocating charging stations with a minimum impact on distribution system hosting capacity while satisfying public charging demand with reasonable travel distance and investment cost. A new concept of extra load hosting capacity (ELHC) is proposed to evaluate the maximum extra load that the system can absorb without operational violations. The EV charging demand is estimated using a transportation simulation tool with real-world data. The distribution system is modeled with a linear three-phase branch flow model that captures the multi-phase and unbalance of a distribution system. The planning problem is formulated as a mixed-integer linear programming (MILP) problem and is validated on the IEEE 123 node test feeder together with real-world Illinois transportation network data.
{"title":"Charging Station Planning to Maximize Extra Load Hosting Capacity in Unbalanced Distribution System","authors":"Lusha Wang, J. Kwon, Omer Verbas, A. Rousseau, Zhi Zhou","doi":"10.1109/PESGM41954.2020.9281769","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281769","url":null,"abstract":"The distribution system operation and planning are facing a great challenge from the increasing penetration of electric vehicles, especially in case of large amount of aggregated simultaneously charging load at public charging stations. This paper proposes a comprehensive planning method for allocating charging stations with a minimum impact on distribution system hosting capacity while satisfying public charging demand with reasonable travel distance and investment cost. A new concept of extra load hosting capacity (ELHC) is proposed to evaluate the maximum extra load that the system can absorb without operational violations. The EV charging demand is estimated using a transportation simulation tool with real-world data. The distribution system is modeled with a linear three-phase branch flow model that captures the multi-phase and unbalance of a distribution system. The planning problem is formulated as a mixed-integer linear programming (MILP) problem and is validated on the IEEE 123 node test feeder together with real-world Illinois transportation network data.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121945074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281409
M. Hosseini, M. Parvania
This paper proposes two computationally efficient mixed integer optimization models, in quadratic-constrained (QC) and linear forms, for optimal real-time fault isolation and service restoration (FISR) in distribution systems. The proposed models integrate an efficient integer programming formulation to model the automated switching operation, which use only one set of binary variables, and therefore are suitable to use in real-time switching application because of their relatively lower computational burden. The proposed models are implemented on the 32-bus and 123-bus test distribution systems under multiple fault scenarios in order to compare their accuracy and speed of computations. The simulations results show that the linear model can provide FISR solutions in almost real-time, with an acceptable accuracy compared to the QC model.
{"title":"Computationally Efficient Formulations for Fault Isolation and Service Restoration in Distribution Systems","authors":"M. Hosseini, M. Parvania","doi":"10.1109/PESGM41954.2020.9281409","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281409","url":null,"abstract":"This paper proposes two computationally efficient mixed integer optimization models, in quadratic-constrained (QC) and linear forms, for optimal real-time fault isolation and service restoration (FISR) in distribution systems. The proposed models integrate an efficient integer programming formulation to model the automated switching operation, which use only one set of binary variables, and therefore are suitable to use in real-time switching application because of their relatively lower computational burden. The proposed models are implemented on the 32-bus and 123-bus test distribution systems under multiple fault scenarios in order to compare their accuracy and speed of computations. The simulations results show that the linear model can provide FISR solutions in almost real-time, with an acceptable accuracy compared to the QC model.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"30 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120815262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281992
S. Yamujala, Anjali Jain, R. Bhakar, Jyotirmay Mathur, Priyanka Kushwaha
Flexibility in operations is gaining importance to facilitate large share of renewable energy sources in generation mix. Various resources and market-based ramp products are practiced for enhancing system flexibility. This work aims at modelling such flexible ramp products from conventional units and Energy storage systems, especially pumped hydro energy storage and battery energy storage systems. The paper further presents a techno-economic analysis of two flexibility enhancement methodologies-Energy storage systems and lower technical minimum of generating units. A MILP based scheduling problem with a 15-minute temporal day-ahead security constrained unit commitment and a 5-minute temporal real-time security constrained economic dispatch is formulated with FRP procurement decisions in day-ahead scheduling for the studies. Effectiveness of proposed model is studied on IEEE RTS 24 bus system using GAMS 24.2.3. Results show that integration of ESS coupled with lower technical minimum of conventional units would enhance market efficiencies and system reliability.
{"title":"Harnessing Flexibility from Energy Storage and Turndown Capability of Generating Units","authors":"S. Yamujala, Anjali Jain, R. Bhakar, Jyotirmay Mathur, Priyanka Kushwaha","doi":"10.1109/PESGM41954.2020.9281992","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281992","url":null,"abstract":"Flexibility in operations is gaining importance to facilitate large share of renewable energy sources in generation mix. Various resources and market-based ramp products are practiced for enhancing system flexibility. This work aims at modelling such flexible ramp products from conventional units and Energy storage systems, especially pumped hydro energy storage and battery energy storage systems. The paper further presents a techno-economic analysis of two flexibility enhancement methodologies-Energy storage systems and lower technical minimum of generating units. A MILP based scheduling problem with a 15-minute temporal day-ahead security constrained unit commitment and a 5-minute temporal real-time security constrained economic dispatch is formulated with FRP procurement decisions in day-ahead scheduling for the studies. Effectiveness of proposed model is studied on IEEE RTS 24 bus system using GAMS 24.2.3. Results show that integration of ESS coupled with lower technical minimum of conventional units would enhance market efficiencies and system reliability.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123927965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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