Pub Date : 2015-10-05DOI: 10.1109/PESGM.2015.7286355
Taesic Kim, Jihoon Yun, W. Qiao
This paper proposes a multiagent system (MAS) modeling and control architecture for a residential DC microgrid (RDCMG). The RDCMG mainly consists of a solid state transformer (SST) and DC smart homes equipped with DC loads, a home photovoltaic system, an energy storage system, electric vehicle (EV)/plug-in hybrid EV and other controllable loads, and advanced sensing and communication devices. The proposed MAS consisting of individual smart home agents and a control agent aims to minimize the electricity costs for the smart homes and alleviate the peak load of the SST during operation. These are achieved by agent utility functions and the best operating time algorithm in the MAS. The proposed MAS is validated by simulation studies for a RDCMG with five smart homes.
{"title":"A multiagent system for residential DC microgrids","authors":"Taesic Kim, Jihoon Yun, W. Qiao","doi":"10.1109/PESGM.2015.7286355","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286355","url":null,"abstract":"This paper proposes a multiagent system (MAS) modeling and control architecture for a residential DC microgrid (RDCMG). The RDCMG mainly consists of a solid state transformer (SST) and DC smart homes equipped with DC loads, a home photovoltaic system, an energy storage system, electric vehicle (EV)/plug-in hybrid EV and other controllable loads, and advanced sensing and communication devices. The proposed MAS consisting of individual smart home agents and a control agent aims to minimize the electricity costs for the smart homes and alleviate the peak load of the SST during operation. These are achieved by agent utility functions and the best operating time algorithm in the MAS. The proposed MAS is validated by simulation studies for a RDCMG with five smart homes.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827566","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7286228
Jiaqi Liang, L. Qi, J. Lindtjørn, F. Wendt
A frequency-dependent DC voltage droop control is proposed for hybrid energy storage systems in a DC microgrid. Only local DC voltage measurement is required to realize coordination of resources with different discharge time. Stability analysis and controller optimization are studied to design the proposed controller. Example simulation results for a DC diesel-electric ship are shown. Results show promising performance of the proposed hybrid energy storage control strategy.
{"title":"Frequency dependent DC voltage droop control for hybrid energy storage in DC microgrids","authors":"Jiaqi Liang, L. Qi, J. Lindtjørn, F. Wendt","doi":"10.1109/PESGM.2015.7286228","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286228","url":null,"abstract":"A frequency-dependent DC voltage droop control is proposed for hybrid energy storage systems in a DC microgrid. Only local DC voltage measurement is required to realize coordination of resources with different discharge time. Stability analysis and controller optimization are studied to design the proposed controller. Example simulation results for a DC diesel-electric ship are shown. Results show promising performance of the proposed hybrid energy storage control strategy.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124665211","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7286571
A. Tiwari, V. Ajjarapu
Reactive power planning or VAR planning is critical to ensure acceptable power quality and system robustness. While addressing var planning, the key issue is optimal allocation i.e. location and size of reactive power sources. Security of power systems is a major concern during contingencies. So, consideration of all plausible contingencies during planning process is important. However, consideration of such a large number of contingencies makes the problem size big hence complex to solve. This paper presents a computer package for solving multiple contingency constrained reactive power planning. To reduce the complexity of optimization problem due to consideration of multiple contingencies a new methodology is proposed, where the overall problem is solved in two phases. The optimization problem is formulated as Mixed Integer Non Linear Programming (MINLP) optimization problem, which is solved by the state of art solvers. Further the efficiency of integer optimization is increased by incorporating system based knowledge. The effectiveness of the proposed approach is illustrated using the 75 bus system.
{"title":"A computer package for multi-contingency constrained reactive power planning","authors":"A. Tiwari, V. Ajjarapu","doi":"10.1109/PESGM.2015.7286571","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286571","url":null,"abstract":"Reactive power planning or VAR planning is critical to ensure acceptable power quality and system robustness. While addressing var planning, the key issue is optimal allocation i.e. location and size of reactive power sources. Security of power systems is a major concern during contingencies. So, consideration of all plausible contingencies during planning process is important. However, consideration of such a large number of contingencies makes the problem size big hence complex to solve. This paper presents a computer package for solving multiple contingency constrained reactive power planning. To reduce the complexity of optimization problem due to consideration of multiple contingencies a new methodology is proposed, where the overall problem is solved in two phases. The optimization problem is formulated as Mixed Integer Non Linear Programming (MINLP) optimization problem, which is solved by the state of art solvers. Further the efficiency of integer optimization is increased by incorporating system based knowledge. The effectiveness of the proposed approach is illustrated using the 75 bus system.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125299690","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7286473
Guodong Liu, O. Ceylan, Yan Xu, K. Tomsovic
With increasing penetration of distributed generation in the distribution networks (DN), the secure and optimal operation of DN has become an important concern. In this paper, an iterative quadratic constrained quadratic programming model to minimize voltage deviations and maximize distributed energy resource (DER) active power output in a three phase unbalanced distribution system is developed. The optimization model is based on the linearized sensitivity coefficients between controlled variables (e.g., node voltages) and control variables (e.g., real and reactive power injections of DERs). To avoid the oscillation of solution when it is close to the optimum, a golden search method is introduced to control the step size. Numerical simulations on modified IEEE 13 nodes test feeders show the efficiency of the proposed model. Compared to the results solved by heuristic search (harmony algorithm), the proposed model converges quickly to the global optimum.
{"title":"Optimal voltage regulation for unbalanced distribution networks considering distributed energy resources","authors":"Guodong Liu, O. Ceylan, Yan Xu, K. Tomsovic","doi":"10.1109/PESGM.2015.7286473","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286473","url":null,"abstract":"With increasing penetration of distributed generation in the distribution networks (DN), the secure and optimal operation of DN has become an important concern. In this paper, an iterative quadratic constrained quadratic programming model to minimize voltage deviations and maximize distributed energy resource (DER) active power output in a three phase unbalanced distribution system is developed. The optimization model is based on the linearized sensitivity coefficients between controlled variables (e.g., node voltages) and control variables (e.g., real and reactive power injections of DERs). To avoid the oscillation of solution when it is close to the optimum, a golden search method is introduced to control the step size. Numerical simulations on modified IEEE 13 nodes test feeders show the efficiency of the proposed model. Compared to the results solved by heuristic search (harmony algorithm), the proposed model converges quickly to the global optimum.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115945238","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7286120
J. Møller, H. Jóhannsson, J. Ostergaard
A method that exploits Thevenin equivalent representation for obtaining post-contingency steady-state nodal voltages is integrated with a method of detecting post-contingency aperiodic small-signal instability. The task of integrating stability assessment with contingency assessment is challenged by the cases of unstable post-contingency conditions. For unstable post-contingency conditions there exists no credible steady-state which can be used for basis of a stability assessment. This paper demonstrates how Thevenin Equivalent methods can be applied in algebraic representation of such bifurcation points which may be used in assessment of post-contingency aperiodic small-signal stability. The assessment method is introduced with a numeric example.
{"title":"Thevenin equivalent method for dynamic contingency assessment","authors":"J. Møller, H. Jóhannsson, J. Ostergaard","doi":"10.1109/PESGM.2015.7286120","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286120","url":null,"abstract":"A method that exploits Thevenin equivalent representation for obtaining post-contingency steady-state nodal voltages is integrated with a method of detecting post-contingency aperiodic small-signal instability. The task of integrating stability assessment with contingency assessment is challenged by the cases of unstable post-contingency conditions. For unstable post-contingency conditions there exists no credible steady-state which can be used for basis of a stability assessment. This paper demonstrates how Thevenin Equivalent methods can be applied in algebraic representation of such bifurcation points which may be used in assessment of post-contingency aperiodic small-signal stability. The assessment method is introduced with a numeric example.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127039986","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7285899
Chen He, Huang He, Zhang Yong, Su Yinsheng
For China Southern Power Grid (CSG), which has the feature of long distance power transmission with strong DC system and weak AC interconnection, low-frequency oscillation is more serious than before for specific operating situations. Therefore, using DC modulation technique to suppress inter-area low-frequency oscillation becomes a very important topic. This paper investigates low-frequency oscillation problem of CSG, and carries out system modal analyses to find out dominant inter-area oscillation modes, and then applies HVDC modulation to damping system oscillations. Gain optimization of modulation controllers of Yunnan-Guangdong DC systems is carried out to improve system damping performance. Simulations with and without modulation controllers are performed in frequency-domain and time-domain to verify the effectiveness of controllers.
{"title":"Researches on DC modulation to damp low frequency oscillation in China Southern Power Grid","authors":"Chen He, Huang He, Zhang Yong, Su Yinsheng","doi":"10.1109/PESGM.2015.7285899","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7285899","url":null,"abstract":"For China Southern Power Grid (CSG), which has the feature of long distance power transmission with strong DC system and weak AC interconnection, low-frequency oscillation is more serious than before for specific operating situations. Therefore, using DC modulation technique to suppress inter-area low-frequency oscillation becomes a very important topic. This paper investigates low-frequency oscillation problem of CSG, and carries out system modal analyses to find out dominant inter-area oscillation modes, and then applies HVDC modulation to damping system oscillations. Gain optimization of modulation controllers of Yunnan-Guangdong DC systems is carried out to improve system damping performance. Simulations with and without modulation controllers are performed in frequency-domain and time-domain to verify the effectiveness of controllers.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133720358","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7285954
Abdallah K. Farraj, Eman M. Hammad, D. Kundur
Feedback linearization distributed control schemes have recently been proposed to stabilize power systems after the occurrence of a physical fault. This paper investigates the performance of feedback linearization distributed controllers in the presence of non-ideal practical measurement, communication and storage constraints. This work investigates the impact of sampling frequency, quantization depth, communication latency, signal-to-noise ratio, and limits on external power on the performance of the controllers. Results of this work detail the performance and effectiveness of the feedback linearization controllers in the New England 39-bus power system under these different practical limitations.
{"title":"Robustness analysis of feedback linearization distributed control schemes in smart grid systems","authors":"Abdallah K. Farraj, Eman M. Hammad, D. Kundur","doi":"10.1109/PESGM.2015.7285954","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7285954","url":null,"abstract":"Feedback linearization distributed control schemes have recently been proposed to stabilize power systems after the occurrence of a physical fault. This paper investigates the performance of feedback linearization distributed controllers in the presence of non-ideal practical measurement, communication and storage constraints. This work investigates the impact of sampling frequency, quantization depth, communication latency, signal-to-noise ratio, and limits on external power on the performance of the controllers. Results of this work detail the performance and effectiveness of the feedback linearization controllers in the New England 39-bus power system under these different practical limitations.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637583","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7286319
M. Rahman, M. A. Mahmud, H. Pota, M. J. Hossain, A. Oo
In this paper, a distributed multi-agent scheme is presented for reactive power management with renewable energy sources (RESs). The multi-agent system (MAS) framework is developed for distribution systems to improve the stability which is mostly dominated by voltage and the agents in this framework coordinate among themselves using online information and energy flow. In this paper, the agents basically perform two tasks- reactive power estimation and necessary control actions. The topology of distribution network is used to estimate the required reactive power for maintaining voltage stability where distributed static synchronous compensators(DSTATCOMs) are used to supply this reactive power. The DSTATCOM is controlled by using a linear quadratic regulator (LQR) controller within the agent framework. The proposed scheme is further compared with the conventional approach to validate the simulation results.
{"title":"Distributed multi-agent scheme to improve dynamic voltage stability of distribution networks","authors":"M. Rahman, M. A. Mahmud, H. Pota, M. J. Hossain, A. Oo","doi":"10.1109/PESGM.2015.7286319","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286319","url":null,"abstract":"In this paper, a distributed multi-agent scheme is presented for reactive power management with renewable energy sources (RESs). The multi-agent system (MAS) framework is developed for distribution systems to improve the stability which is mostly dominated by voltage and the agents in this framework coordinate among themselves using online information and energy flow. In this paper, the agents basically perform two tasks- reactive power estimation and necessary control actions. The topology of distribution network is used to estimate the required reactive power for maintaining voltage stability where distributed static synchronous compensators(DSTATCOMs) are used to supply this reactive power. The DSTATCOM is controlled by using a linear quadratic regulator (LQR) controller within the agent framework. The proposed scheme is further compared with the conventional approach to validate the simulation results.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117082655","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7285900
Tao Ding, Can Huang, R. Bo, Runxin Li, Zhigang Yang, F. Li, Hongbin Sun
Security constrained economic dispatch (SCED) is an important tool for ISOs/RTOs to achieve economic power system operation in day-ahead and real-time markets. However, the wind generation uncertainty varying within a large range may make the SCED model unsolvable under certain scenarios. Thus, curtailment is utilized in this work to avoid the infeasibility in the presence of wind power uncertainty. It is found that the uncertainty set is affected by the curtailment restriction which is modeled as an interval number. By the use of interval arithmetic and big M approach, we construct a mixed integer linear programming (MILP) with the objective of minimizing the total curtailment costs, while guaranteeing the SCED to be feasible when wind power varies within its uncertainty set. Numerical results from a 118-bus test system over 24 time periods verify the effectiveness of this proposed method.
{"title":"Interval arithmetic based optimal curtailment for infeasible SCED considering wind power uncertainties","authors":"Tao Ding, Can Huang, R. Bo, Runxin Li, Zhigang Yang, F. Li, Hongbin Sun","doi":"10.1109/PESGM.2015.7285900","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7285900","url":null,"abstract":"Security constrained economic dispatch (SCED) is an important tool for ISOs/RTOs to achieve economic power system operation in day-ahead and real-time markets. However, the wind generation uncertainty varying within a large range may make the SCED model unsolvable under certain scenarios. Thus, curtailment is utilized in this work to avoid the infeasibility in the presence of wind power uncertainty. It is found that the uncertainty set is affected by the curtailment restriction which is modeled as an interval number. By the use of interval arithmetic and big M approach, we construct a mixed integer linear programming (MILP) with the objective of minimizing the total curtailment costs, while guaranteeing the SCED to be feasible when wind power varies within its uncertainty set. Numerical results from a 118-bus test system over 24 time periods verify the effectiveness of this proposed method.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131283040","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 : 2015-10-05DOI: 10.1109/PESGM.2015.7286024
P. Henneaux, Jiajia Song, E. Cotilla-Sánchez
Cascading outages in transmission power systems leading to blackouts or major power disruption are due to complex mechanisms. Some of the key mechanisms are intrinsically linked to power system dynamics that static models cannot represent. Additionally, stochastic failures of the protection devices are another important factor. Therefore, a dynamic probabilistic risk assessment of cascading outages is necessary. However, most of the existing approaches are based on static power system models. This paper discusses the limitation of these static models, reviews the state of the art on dynamic probabilistic risk assessment of cascading outages and proposes several techniques to solve the current challenges. Probabilistic dynamic simulations are compared to deterministic dynamic simulations using two test systems. The results show that probabilistic simulations show various impacts on the cascading risks for those two test systems.
{"title":"Dynamic probabilistic risk assessment of cascading outages","authors":"P. Henneaux, Jiajia Song, E. Cotilla-Sánchez","doi":"10.1109/PESGM.2015.7286024","DOIUrl":"https://doi.org/10.1109/PESGM.2015.7286024","url":null,"abstract":"Cascading outages in transmission power systems leading to blackouts or major power disruption are due to complex mechanisms. Some of the key mechanisms are intrinsically linked to power system dynamics that static models cannot represent. Additionally, stochastic failures of the protection devices are another important factor. Therefore, a dynamic probabilistic risk assessment of cascading outages is necessary. However, most of the existing approaches are based on static power system models. This paper discusses the limitation of these static models, reviews the state of the art on dynamic probabilistic risk assessment of cascading outages and proposes several techniques to solve the current challenges. Probabilistic dynamic simulations are compared to deterministic dynamic simulations using two test systems. The results show that probabilistic simulations show various impacts on the cascading risks for those two test systems.","PeriodicalId":423639,"journal":{"name":"2015 IEEE Power & Energy Society General Meeting","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127087095","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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