Pub Date : 2020-08-02DOI: 10.1109/PESGM41954.2020.9281394
Omar Alrumayh, Kankar Bhattacharya
One of the main advantages of smart grids is the presence of advanced communication technologies that facilitate grid operators and local distribution companies (LDCs) to communicate directly with customers. While at one end, the end-user customers seek to optimize their energy consumption by deploying home energy management systems (HEMSs), the LDCs on the other hand, seek to improve the grid operational efficiency and reduce losses. In this paper, a two-stage optimization framework is developed wherein multiple HEMS simultaneously optimize their respective energy consumption patterns, and determines their flexibility provision, which is communicated to the LDC. The LDC aggregates the controllable demand profile and the flexibilities of each HEMS to optimize its operational performance and hence the peak reduction signals which are sent to the HEMS. Studies are carried out considering a 33-bus distribution system coordinating with 1295 houses connected at different buses, and with varying customer preferences and objectives to demonstrate the applicability of the proposed scheme.
{"title":"Flexibility of Residential Loads for Demand Response Provisions in Smart Grid","authors":"Omar Alrumayh, Kankar Bhattacharya","doi":"10.1109/PESGM41954.2020.9281394","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281394","url":null,"abstract":"One of the main advantages of smart grids is the presence of advanced communication technologies that facilitate grid operators and local distribution companies (LDCs) to communicate directly with customers. While at one end, the end-user customers seek to optimize their energy consumption by deploying home energy management systems (HEMSs), the LDCs on the other hand, seek to improve the grid operational efficiency and reduce losses. In this paper, a two-stage optimization framework is developed wherein multiple HEMS simultaneously optimize their respective energy consumption patterns, and determines their flexibility provision, which is communicated to the LDC. The LDC aggregates the controllable demand profile and the flexibilities of each HEMS to optimize its operational performance and hence the peak reduction signals which are sent to the HEMS. Studies are carried out considering a 33-bus distribution system coordinating with 1295 houses connected at different buses, and with varying customer preferences and objectives to demonstrate the applicability of the proposed scheme.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"1 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":"129584963","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/PESGM41954.2020.9281843
N. Avila, Leonardo Callegaro, J. Fletcher
The development of advanced composite load models is imperative for accurate dynamic stability analysis of electric power systems. In North America, the Load Modelling Task Force (LMTF) endorsed the WECC composite load model for dynamic simulations of transmission networks. However, due to its complex dynamics and large number of parameters, little attention has been paid to the estimation of its parameters from online measurements. This load model incorporates the switching action of different built-in protection devices, which negatively affects the performance of conventional nonlinear programming algorithms. This paper introduces a hybrid optimization approach to estimate the parameters of the WECC composite load model. Parameters associated with dynamic and static equations, which are constrained by the physical interpretation of the model, are estimated by nonlinear programming techniques. On the other hand, protection parameters are estimated using a surrogate model of the objective function based on Radial Basis Function (RBF) optimization. The proposed scheme is validated with simulated and actual measurements collected across Australia.
{"title":"Measurement-Based Parameter Estimation for the WECC Composite Load Model with Distributed Energy Resources","authors":"N. Avila, Leonardo Callegaro, J. Fletcher","doi":"10.1109/PESGM41954.2020.9281843","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281843","url":null,"abstract":"The development of advanced composite load models is imperative for accurate dynamic stability analysis of electric power systems. In North America, the Load Modelling Task Force (LMTF) endorsed the WECC composite load model for dynamic simulations of transmission networks. However, due to its complex dynamics and large number of parameters, little attention has been paid to the estimation of its parameters from online measurements. This load model incorporates the switching action of different built-in protection devices, which negatively affects the performance of conventional nonlinear programming algorithms. This paper introduces a hybrid optimization approach to estimate the parameters of the WECC composite load model. Parameters associated with dynamic and static equations, which are constrained by the physical interpretation of the model, are estimated by nonlinear programming techniques. On the other hand, protection parameters are estimated using a surrogate model of the objective function based on Radial Basis Function (RBF) optimization. The proposed scheme is validated with simulated and actual measurements collected across Australia.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"1 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":"128396841","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/PESGM41954.2020.9281675
Xinglei Liu, Jun Liu, Xia Zhao
Combined Cooling, Heating and Power (CCHP) system, as a typical form of Integrated Energy System (IES), enhances the coupling of cooling, heating and power network. In this paper, a sequential method for multi-energy flow calculation of CCHP-IES is proposed based on two-stage integrated energy system composed of district and terminal CCHP system. Firstly, the mathematical models of heating and power network are established respectively. Secondly, a more detailed terminal cooling network model with cold airflow as transmission medium is developed based on the general laws and the heat transfer characteristics of pipeline in fluid mechanics, aiming at increasing the accuracy of energy flow calculation results. On this basis, an energy flow calculation model of CCHP-IES is constructed. Numerical case analysis shows that the proposed terminal network model can improve the accuracy of the energy flow calculation, and the sequential method can reduce the convergence time to no longer than 0.236s.
{"title":"Energy Flow Calculation Method of Combined Cooling, Heating and Power System with Terminal Cooling Network Model","authors":"Xinglei Liu, Jun Liu, Xia Zhao","doi":"10.1109/PESGM41954.2020.9281675","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281675","url":null,"abstract":"Combined Cooling, Heating and Power (CCHP) system, as a typical form of Integrated Energy System (IES), enhances the coupling of cooling, heating and power network. In this paper, a sequential method for multi-energy flow calculation of CCHP-IES is proposed based on two-stage integrated energy system composed of district and terminal CCHP system. Firstly, the mathematical models of heating and power network are established respectively. Secondly, a more detailed terminal cooling network model with cold airflow as transmission medium is developed based on the general laws and the heat transfer characteristics of pipeline in fluid mechanics, aiming at increasing the accuracy of energy flow calculation results. On this basis, an energy flow calculation model of CCHP-IES is constructed. Numerical case analysis shows that the proposed terminal network model can improve the accuracy of the energy flow calculation, and the sequential method can reduce the convergence time to no longer than 0.236s.","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":"128559316","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/PESGM41954.2020.9281451
W. Balliet, F. Wilches-Bernal, J. Wold
Practical implementations of synthetic inertia (SI) control require fast and accurate frequency estimation from measurable data. While previous research has shown that SI can be effective at improving inertial and primary frequency regulation when accurate frequency measurements are available, these works typically do not include the technicalities of frequency estimation in their analysis. This paper presents a testbed that allows the user to examine such estimation methods and their effect on SI control performance. An SI control compensator is then designed and implemented for a test case. The compensator is shown to reduce many of the limitations imposed by point-on-wave based frequency estimation on the SI control action.
{"title":"A Testbed for Synthetic Inertia Control Design using Point-on-Wave Frequency Estimates","authors":"W. Balliet, F. Wilches-Bernal, J. Wold","doi":"10.1109/PESGM41954.2020.9281451","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281451","url":null,"abstract":"Practical implementations of synthetic inertia (SI) control require fast and accurate frequency estimation from measurable data. While previous research has shown that SI can be effective at improving inertial and primary frequency regulation when accurate frequency measurements are available, these works typically do not include the technicalities of frequency estimation in their analysis. This paper presents a testbed that allows the user to examine such estimation methods and their effect on SI control performance. An SI control compensator is then designed and implemented for a test case. The compensator is shown to reduce many of the limitations imposed by point-on-wave based frequency estimation on the SI control action.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"15 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":"128567990","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/PESGM41954.2020.9281904
M. Xia, Zhihao Hua, Qifang Chen, Meijing Lv
This paper focuses on the joint optimization scheduling of multi-region integrated energy systems (IES) and the influence of regional heating networks on joint scheduling. The IES model is firstly established, including the heating network model and the internal equipment model. Then, in order to ensure the independence of each IES, a bi-level model of multi-region IESs joint scheduling considering regional heating network is established, which is solved by distributed algorithm-analysis target cascading method (ATC). Finally, the simulation results show that the proposed model can effectively optimize the energy scheduling between IESs while ensuring the independence of each IES. The regional heating network can be used as heat storage equipment to participate in the joint scheduling, and absorbs the excess heat energy in IES that cannot be transferred to other IESs.
{"title":"Distributed Optimal Scheduling of Multi-region Integrated Energy Systems Considering Regional Heating Network","authors":"M. Xia, Zhihao Hua, Qifang Chen, Meijing Lv","doi":"10.1109/PESGM41954.2020.9281904","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281904","url":null,"abstract":"This paper focuses on the joint optimization scheduling of multi-region integrated energy systems (IES) and the influence of regional heating networks on joint scheduling. The IES model is firstly established, including the heating network model and the internal equipment model. Then, in order to ensure the independence of each IES, a bi-level model of multi-region IESs joint scheduling considering regional heating network is established, which is solved by distributed algorithm-analysis target cascading method (ATC). Finally, the simulation results show that the proposed model can effectively optimize the energy scheduling between IESs while ensuring the independence of each IES. The regional heating network can be used as heat storage equipment to participate in the joint scheduling, and absorbs the excess heat energy in IES that cannot be transferred to other IESs.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"1 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":"129153481","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/PESGM41954.2020.9281858
Fengzhang Luo, Tianyu Zhang, Chengshan Wang, Peng Li, L. Yao
An optimal planning model of the sectional switch and tie line for the distribution network is proposed considering the trade-off between the system reliability and economy. Firstly, the fault incidence matrixes are established for the distribution network, and the explicit analytical expression of the system reliability index is realized by the algebraic operation of the fault incidence matrixes and fault parameter vectors. Then, the 0-1 integer quadratically constrained optimization model is established for the sectional switch configuration considering the capacity constraint of the tie line. Finally, the sectional switches and tie lines are optimized jointly to ensure the economic investment and maximize the system reliability. The distribution network in Taiwan Power Company (TPC) is used to verify the applicability of the proposed optimization method. Compared with the intelligent optimization algorithm, the mathematical programming method in this paper can always find the global optimal switch configuration quickly. In addition, the influence of the tie line capacity constraints on the sectional switch configuration is also considered, which can provide practical reference for the power network planners in the optimization design of the distribution network.
{"title":"Optimal Design of the Sectional Switch and Tie Line for the Distribution Network based on the Fault Incidence Matrix","authors":"Fengzhang Luo, Tianyu Zhang, Chengshan Wang, Peng Li, L. Yao","doi":"10.1109/PESGM41954.2020.9281858","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281858","url":null,"abstract":"An optimal planning model of the sectional switch and tie line for the distribution network is proposed considering the trade-off between the system reliability and economy. Firstly, the fault incidence matrixes are established for the distribution network, and the explicit analytical expression of the system reliability index is realized by the algebraic operation of the fault incidence matrixes and fault parameter vectors. Then, the 0-1 integer quadratically constrained optimization model is established for the sectional switch configuration considering the capacity constraint of the tie line. Finally, the sectional switches and tie lines are optimized jointly to ensure the economic investment and maximize the system reliability. The distribution network in Taiwan Power Company (TPC) is used to verify the applicability of the proposed optimization method. Compared with the intelligent optimization algorithm, the mathematical programming method in this paper can always find the global optimal switch configuration quickly. In addition, the influence of the tie line capacity constraints on the sectional switch configuration is also considered, which can provide practical reference for the power network planners in the optimization design of the distribution network.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"1 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":"129160724","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/PESGM41954.2020.9282026
H. Ergun, Jaykumar Dave, D. Hertem, F. Geth
HVDC is becoming an increasingly important part of the present day transmission systems. Accurate models of active and reactive power control capabilities of HVDCconverter stations are required to analyze the operation of power systems consisting of ac and dc grids, including ancillary services and security. Different converter station technologies exist, with varying control characteristics. This paper develops an optimal power flow model for ac and dc grids. A variety of formulations, from non-linear to convexified to linearized, are developed and implemented in an open-source tool. A convex relaxation formulation of a parameterized ac–dc converter model is developed. The hierarchy of common ac optimal power flow formulations is mapped to formulations for converter stations and dc grids. Numerical illustrations for a number of test cases, up to 3120 ac nodes and up to ten dc nodes and converters, are provided.
{"title":"Optimal Power Flow for AC–DC Grids: Formulation, Convex Relaxation, Linear Approximation, and Implementation","authors":"H. Ergun, Jaykumar Dave, D. Hertem, F. Geth","doi":"10.1109/PESGM41954.2020.9282026","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282026","url":null,"abstract":"HVDC is becoming an increasingly important part of the present day transmission systems. Accurate models of active and reactive power control capabilities of HVDCconverter stations are required to analyze the operation of power systems consisting of ac and dc grids, including ancillary services and security. Different converter station technologies exist, with varying control characteristics. This paper develops an optimal power flow model for ac and dc grids. A variety of formulations, from non-linear to convexified to linearized, are developed and implemented in an open-source tool. A convex relaxation formulation of a parameterized ac–dc converter model is developed. The hierarchy of common ac optimal power flow formulations is mapped to formulations for converter stations and dc grids. Numerical illustrations for a number of test cases, up to 3120 ac nodes and up to ten dc nodes and converters, are provided.","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":"124654699","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/PESGM41954.2020.9282104
Mohamed Elsir, A. Al-Awami
Handling the variability associated with integrating large capacities of renewable energy sources (RES) to the power grid is a challenge that system operators have been encountering. On the other hand, the need for water desalination to produce sufficient freshwater in arid areas increases the importance of suitable energy sources for sustainable operation. This paper proposes coordinating the operation of a renewable-rich power system with the operation of grid-connected, reverse-osmosis (RO) water desalination plants (WDP) to minimize their combined operational costs and maximize the utilization of RES. A unit commitment model is presented that harnesses the energy flexibility of WDPs in day-ahead power system scheduling. From the power system operation standpoint, these WDPs will be considered as controllable demands. Simulation results demonstrate the benefits of the proposed coordination on enhancing system efficiency and reducing the combined operational costs of both systems.
{"title":"Coordinating the Operation of Water Desalination and a Renewables-Rich Electric Power Grid","authors":"Mohamed Elsir, A. Al-Awami","doi":"10.1109/PESGM41954.2020.9282104","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282104","url":null,"abstract":"Handling the variability associated with integrating large capacities of renewable energy sources (RES) to the power grid is a challenge that system operators have been encountering. On the other hand, the need for water desalination to produce sufficient freshwater in arid areas increases the importance of suitable energy sources for sustainable operation. This paper proposes coordinating the operation of a renewable-rich power system with the operation of grid-connected, reverse-osmosis (RO) water desalination plants (WDP) to minimize their combined operational costs and maximize the utilization of RES. A unit commitment model is presented that harnesses the energy flexibility of WDPs in day-ahead power system scheduling. From the power system operation standpoint, these WDPs will be considered as controllable demands. Simulation results demonstrate the benefits of the proposed coordination on enhancing system efficiency and reducing the combined operational costs of both systems.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"29 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":"129237825","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/PESGM41954.2020.9281535
Subho Paul, N. Padhy
This article illustrates a real time centralized energy management process for a residential flat building under randomly updated energy price, rooftop solar generation and load demand at each flat. The residents at each flat are considered to be non-identical as far as their response towards respective power consumption are concerned, which is modelled as utility function of the flat occupants. The derived optimization problem is solved by utilizing Lyapunov optimization technique, which does not require the probabilistic estimation of the uncertain parameters but only their real time values. Convexity of the derived problem is validated to proof the existence of only one optimum result i.e. global minima. Proposed real time energy management process is implemented on a building having four flats. Superiority of the proposed strategy is established by comparing with another real time method named greedy algorithm.
{"title":"Residential Flat Building Energy Management under Random Energy Price, Solar Power and Load","authors":"Subho Paul, N. Padhy","doi":"10.1109/PESGM41954.2020.9281535","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9281535","url":null,"abstract":"This article illustrates a real time centralized energy management process for a residential flat building under randomly updated energy price, rooftop solar generation and load demand at each flat. The residents at each flat are considered to be non-identical as far as their response towards respective power consumption are concerned, which is modelled as utility function of the flat occupants. The derived optimization problem is solved by utilizing Lyapunov optimization technique, which does not require the probabilistic estimation of the uncertain parameters but only their real time values. Convexity of the derived problem is validated to proof the existence of only one optimum result i.e. global minima. Proposed real time energy management process is implemented on a building having four flats. Superiority of the proposed strategy is established by comparing with another real time method named greedy algorithm.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"65 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":"130591259","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/PESGM41954.2020.9282099
Yiping Chen, L. Xiao, Qin Gao, Kehan Zeng, Shengjing She, Rongzhao Yang
A piecewise linearization model is developed for the analysis of ultra-low frequency oscillation, taking the nonlinearity of governor deadband and the automatic generation control (AGC) into considerations. Firstly, the ultra-low frequency oscillations occurred in actual power grids are discussed in depth. Then, based on the piecewise linearization model developed, the AGC-excited frequency mode is calculated and key factors that influence the frequency stability are analyzed using the eigenvalue approach. Results show that the governor deadband introduces a frequency mode that likely to be excited by large frequency bias coefficient B of the AGC system. To avoid this frequency oscillation, it is advised that B should be properly tuned under the situation when only the secondary frequency regulation is activated.
{"title":"Analysis of Frequency Oscillation Caused by AGC in Hydro-Dominant Power Grids using Piecewise Linearization Method","authors":"Yiping Chen, L. Xiao, Qin Gao, Kehan Zeng, Shengjing She, Rongzhao Yang","doi":"10.1109/PESGM41954.2020.9282099","DOIUrl":"https://doi.org/10.1109/PESGM41954.2020.9282099","url":null,"abstract":"A piecewise linearization model is developed for the analysis of ultra-low frequency oscillation, taking the nonlinearity of governor deadband and the automatic generation control (AGC) into considerations. Firstly, the ultra-low frequency oscillations occurred in actual power grids are discussed in depth. Then, based on the piecewise linearization model developed, the AGC-excited frequency mode is calculated and key factors that influence the frequency stability are analyzed using the eigenvalue approach. Results show that the governor deadband introduces a frequency mode that likely to be excited by large frequency bias coefficient B of the AGC system. To avoid this frequency oscillation, it is advised that B should be properly tuned under the situation when only the secondary frequency regulation is activated.","PeriodicalId":106476,"journal":{"name":"2020 IEEE Power & Energy Society General Meeting (PESGM)","volume":"30 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":"123355784","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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