Pub Date : 2014-12-01DOI: 10.1109/SGC.2014.7090870
M. Gitizadeh, Sasan Farhadi, Sajjad Safarloo
This paper proposes a multi-objective model for optimal energy management of CHP based MG (microgrid) with the goal of cost and emission minimization. In order to serve the power and heat demands of the MG with minimum cost and emission, demand response (DR) program has been implemented. Demand response programs encourage consumers to respond to short-term variations in market electricity prices to reduce their demand during peak load hours. The MG considered in this paper consists of power only units, heat only units, CHP (combined heat and power) units and energy storage system. Proposed MG is capable to sell/buy electrical energy to/from the grid. This paper studies two cases in order to confirm the performance of the proposed method.
{"title":"Multi-objective energy management of CHP-based microgrid considering demand response programs","authors":"M. Gitizadeh, Sasan Farhadi, Sajjad Safarloo","doi":"10.1109/SGC.2014.7090870","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090870","url":null,"abstract":"This paper proposes a multi-objective model for optimal energy management of CHP based MG (microgrid) with the goal of cost and emission minimization. In order to serve the power and heat demands of the MG with minimum cost and emission, demand response (DR) program has been implemented. Demand response programs encourage consumers to respond to short-term variations in market electricity prices to reduce their demand during peak load hours. The MG considered in this paper consists of power only units, heat only units, CHP (combined heat and power) units and energy storage system. Proposed MG is capable to sell/buy electrical energy to/from the grid. This paper studies two cases in order to confirm the performance of the proposed method.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133111580","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090871
A. A. Khodadoost Arani, A. H. Nazeri Ardekani, G. Gharehpetian
A new control method to improve in transient response of parallel inverters in islanded Microgrids is presented in this paper. The conventional droop is a good choice for controlling VSIs in microgrid disconnected from main grid. But this method has some drawback such as inappropriate transient response. The proposed scheme, based on the droop control method, uses current feedback signal that passed from a controller and is subtracted from no load frequency. This method is applied to obtain good active power sharing and decreasing circulating current in transient. In this work, a great improvement in transient response is achieved by introducing this new scheme. Simulation results that achieved by MATLAB, verify the improvements in the proposed method.
{"title":"Improving power sharing between parallel voltage source inverters using enhanced droop controller","authors":"A. A. Khodadoost Arani, A. H. Nazeri Ardekani, G. Gharehpetian","doi":"10.1109/SGC.2014.7090871","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090871","url":null,"abstract":"A new control method to improve in transient response of parallel inverters in islanded Microgrids is presented in this paper. The conventional droop is a good choice for controlling VSIs in microgrid disconnected from main grid. But this method has some drawback such as inappropriate transient response. The proposed scheme, based on the droop control method, uses current feedback signal that passed from a controller and is subtracted from no load frequency. This method is applied to obtain good active power sharing and decreasing circulating current in transient. In this work, a great improvement in transient response is achieved by introducing this new scheme. Simulation results that achieved by MATLAB, verify the improvements in the proposed method.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123244210","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 : 2014-12-01DOI: 10.1109/SGC.2014.7151040
H. Karimi, Javad Ansari, A. Gholami, A. Kazemi
In recent years, greenhouse gas emission has become a critical issue for the international community. In this regard, transportation and electricity industries as main sources of this pollution have been taken into consideration widely. Increase in equipment's efficiency and using and developing new technologies such as Electric Vehicles (EVs), EVs with vehicle-togrid capability, referred to as “gridable vehicles” (GVs), and Renewable Energy Sources (RESs) are recommended as solutions for solving the emission problem. Charging EVs from grid increases grid load, especially the peak load. This increase in load will consequently increase the amount of energy losses, fuel cost of power generation, need for initial investment, and power plant emissions. Thus, to any decision making, it is important to study and analyze all important effective factors simultaneously. In this paper, EVs and RESs penetration in power system is investigated in terms of economics/environment. A multi-objective optimization is applied to a ten-unit system to find the optimal cost and well to wheel emission simultaneously. In order to have a more accurate and close to realistic survey, an extended model of Wind Farm (WF) cost function is employed in power dispatch calculations.
{"title":"A comprehensive well to wheel analysis of plug-in vehicles and renewable energy resources from cost and emission viewpoints","authors":"H. Karimi, Javad Ansari, A. Gholami, A. Kazemi","doi":"10.1109/SGC.2014.7151040","DOIUrl":"https://doi.org/10.1109/SGC.2014.7151040","url":null,"abstract":"In recent years, greenhouse gas emission has become a critical issue for the international community. In this regard, transportation and electricity industries as main sources of this pollution have been taken into consideration widely. Increase in equipment's efficiency and using and developing new technologies such as Electric Vehicles (EVs), EVs with vehicle-togrid capability, referred to as “gridable vehicles” (GVs), and Renewable Energy Sources (RESs) are recommended as solutions for solving the emission problem. Charging EVs from grid increases grid load, especially the peak load. This increase in load will consequently increase the amount of energy losses, fuel cost of power generation, need for initial investment, and power plant emissions. Thus, to any decision making, it is important to study and analyze all important effective factors simultaneously. In this paper, EVs and RESs penetration in power system is investigated in terms of economics/environment. A multi-objective optimization is applied to a ten-unit system to find the optimal cost and well to wheel emission simultaneously. In order to have a more accurate and close to realistic survey, an extended model of Wind Farm (WF) cost function is employed in power dispatch calculations.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122659511","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090874
Morteza Shabanzadeh, M. Dehbashian
This paper presents a robust-based procedure to evaluate the impact of uncertainty on optimal sizing of stochastic Renewable Energy Sources (RES) such as photovoltaic panels (PVs) and small-scale wind power plants (WPPs). The feasibility study of an isolated system in the midterm planning horizon is aimed at determining whether it can adequately satisfy the demand. Accordingly, the objective of the model is to provide a convenient decision making framework for supplying the demand of a typical smart research institute merely by RES such that it would guarantee the minimum investment cost. However, due to RES inherent uncertainty, these generators are often unable to meet demand reliably. Given this, smartly operating Energy Storage Systems (ESS) are being advocated as a solution for increasing the reliability of such intermittent renewable sources. An Iranian smart research center is chosen as a case study to illustrate the effectiveness of the proposed model.
{"title":"Robust decision making tool for optimal RES-ESS mix of a smart grid-independent research center","authors":"Morteza Shabanzadeh, M. Dehbashian","doi":"10.1109/SGC.2014.7090874","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090874","url":null,"abstract":"This paper presents a robust-based procedure to evaluate the impact of uncertainty on optimal sizing of stochastic Renewable Energy Sources (RES) such as photovoltaic panels (PVs) and small-scale wind power plants (WPPs). The feasibility study of an isolated system in the midterm planning horizon is aimed at determining whether it can adequately satisfy the demand. Accordingly, the objective of the model is to provide a convenient decision making framework for supplying the demand of a typical smart research institute merely by RES such that it would guarantee the minimum investment cost. However, due to RES inherent uncertainty, these generators are often unable to meet demand reliably. Given this, smartly operating Energy Storage Systems (ESS) are being advocated as a solution for increasing the reliability of such intermittent renewable sources. An Iranian smart research center is chosen as a case study to illustrate the effectiveness of the proposed model.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127686330","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090864
H. Bevrani
The characteristics of smart grids introduce robust control techniques as more powerful and suitable control tools for control synthesis/analysis problems in these grids. However, there are some important challenges in application of robust control theorems in new power systems. Here, two main challenges are discussed and probable solutions are given to fill the existing gap between the power of robust control theorems and smart grid control designs.
{"title":"On Future of Robust Control in Smart Grids","authors":"H. Bevrani","doi":"10.1109/SGC.2014.7090864","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090864","url":null,"abstract":"The characteristics of smart grids introduce robust control techniques as more powerful and suitable control tools for control synthesis/analysis problems in these grids. However, there are some important challenges in application of robust control theorems in new power systems. Here, two main challenges are discussed and probable solutions are given to fill the existing gap between the power of robust control theorems and smart grid control designs.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415679","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090854
S. Pazouki, M. Haghifam
Electricity and gas infrastructures were independently utilized to supply different energy demands in the past. Nowadays, new technologies such as Combined heat and power (CHP) facilitates integration of different energy infrastructures with significant benefits. Efficiency increase and operation costs reduction as well as reliability enhancement and emission reduction are considered as prominent characteristics of combining different energy networks. In this paper, effects of different energy storages on performance of multi carrier energy networks and operation costs are presented. Energy hub approach and MIP (Mixed integer linear programming) model of GAMS are employed to solve the problem. An energy hub including electricity and gas networks is modeled for integration of the storages (electric, gas and heat) to supply electricity and heat demands. The results also demonstrate important effects of the technologies when the proposed hub has not potential to sell additional produced electricity to the network. Furthermore, the significant impacts of the technologies are shown when electricity and heat demands increase.
{"title":"Impact of energy storage technologies on multi carrier energy networks","authors":"S. Pazouki, M. Haghifam","doi":"10.1109/SGC.2014.7090854","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090854","url":null,"abstract":"Electricity and gas infrastructures were independently utilized to supply different energy demands in the past. Nowadays, new technologies such as Combined heat and power (CHP) facilitates integration of different energy infrastructures with significant benefits. Efficiency increase and operation costs reduction as well as reliability enhancement and emission reduction are considered as prominent characteristics of combining different energy networks. In this paper, effects of different energy storages on performance of multi carrier energy networks and operation costs are presented. Energy hub approach and MIP (Mixed integer linear programming) model of GAMS are employed to solve the problem. An energy hub including electricity and gas networks is modeled for integration of the storages (electric, gas and heat) to supply electricity and heat demands. The results also demonstrate important effects of the technologies when the proposed hub has not potential to sell additional produced electricity to the network. Furthermore, the significant impacts of the technologies are shown when electricity and heat demands increase.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134260938","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090872
A. Fereidunian
This paper presents the biological inspiration and core idea of healer reinforcement of self-healing in smart grid. First, the self-healing system in human is briefly studied for mild wound-healing, followed by the similar FLISR (fault location, isolation and service restoration) process in distribution automation of smart grid. An analogy is expressed between selfhealing in human wound-healing and FLISR, both performed in four phases. The healer reinforcement idea is then introduced, which is inspired by immune system boosting. Realizations of the healer reinforcement notion are introduced at the end as practical examples.
{"title":"Healer reinforcement: a cybernetic approach to self-healing in smart grid","authors":"A. Fereidunian","doi":"10.1109/SGC.2014.7090872","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090872","url":null,"abstract":"This paper presents the biological inspiration and core idea of healer reinforcement of self-healing in smart grid. First, the self-healing system in human is briefly studied for mild wound-healing, followed by the similar FLISR (fault location, isolation and service restoration) process in distribution automation of smart grid. An analogy is expressed between selfhealing in human wound-healing and FLISR, both performed in four phases. The healer reinforcement idea is then introduced, which is inspired by immune system boosting. Realizations of the healer reinforcement notion are introduced at the end as practical examples.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134314709","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 : 2014-12-01DOI: 10.1109/SGC.2014.7151033
H. Heydari, Seyyed Mehdi Oladali, E. Heydari, A. Nazarzadeh
Voltage sag is one of the most severe power quality disturbances to be dealt with by the industrial sector, as it can cause severe process disruptions and results in substantial economic loss. This paper presents an optimal method of control for the low voltage dynamic voltage restorer (DVR). The DVR was a power electronics device that was able to compensate voltage sags on critical loads dynamically. The compensating signals are determined dynamically based on the difference between desired and measured values. The control strategy adopted for generating reference signal plays a key role in deciding the dynamic behavior of a system. This work proposes a novel control algorithm for simultaneous sag compensation. The salient advantages of the proposed method are compensating long duration deeper voltage sags, both for 1 phase and three phase voltage sag. The proposed method has been simulated with MATLAB Simulink to show the applicability of it rather than the other previous control methods of DVR.
{"title":"Smart optimal control of DVR to compensate voltage sag of the critical loads in the distribution power system","authors":"H. Heydari, Seyyed Mehdi Oladali, E. Heydari, A. Nazarzadeh","doi":"10.1109/SGC.2014.7151033","DOIUrl":"https://doi.org/10.1109/SGC.2014.7151033","url":null,"abstract":"Voltage sag is one of the most severe power quality disturbances to be dealt with by the industrial sector, as it can cause severe process disruptions and results in substantial economic loss. This paper presents an optimal method of control for the low voltage dynamic voltage restorer (DVR). The DVR was a power electronics device that was able to compensate voltage sags on critical loads dynamically. The compensating signals are determined dynamically based on the difference between desired and measured values. The control strategy adopted for generating reference signal plays a key role in deciding the dynamic behavior of a system. This work proposes a novel control algorithm for simultaneous sag compensation. The salient advantages of the proposed method are compensating long duration deeper voltage sags, both for 1 phase and three phase voltage sag. The proposed method has been simulated with MATLAB Simulink to show the applicability of it rather than the other previous control methods of DVR.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131764086","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090876
N. Hajilu, G. Gharehpetian, S. Hosseinian, M. Kohansal
Compared with the traditional power systems, microgrids (MGs) with distributed generations (DGs) are becoming more and more attractive during last decade. The MGs can operate autonomously or it can be connected to larger grids. During VSC-based MG islanded operation, which use droop controller method, the desired frequency of VSCs is altering regarding the output active power. One of the main issues for MG operator is accurate selection of control system parameters and proper strategy determination for MG operation. So stability analysis of MG in different operation condition is important. In this paper, an autonomous active and reactive power distribution strategy is proposed. Also equations for the components of a typical MG are modeled and then several fault conditions are simulated. Real-time results are presented to verify the proposed stability analysis strategy.
{"title":"Stability anaysis in autonomous VSC-based microgrid in the presence of disturbances","authors":"N. Hajilu, G. Gharehpetian, S. Hosseinian, M. Kohansal","doi":"10.1109/SGC.2014.7090876","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090876","url":null,"abstract":"Compared with the traditional power systems, microgrids (MGs) with distributed generations (DGs) are becoming more and more attractive during last decade. The MGs can operate autonomously or it can be connected to larger grids. During VSC-based MG islanded operation, which use droop controller method, the desired frequency of VSCs is altering regarding the output active power. One of the main issues for MG operator is accurate selection of control system parameters and proper strategy determination for MG operation. So stability analysis of MG in different operation condition is important. In this paper, an autonomous active and reactive power distribution strategy is proposed. Also equations for the components of a typical MG are modeled and then several fault conditions are simulated. Real-time results are presented to verify the proposed stability analysis strategy.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131896896","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090856
Masoud Bashari, A. Rahimi-Kian, S. Farhangi
This paper presents a new information based method of prediction which helps to obtain more information from a little data set and applies it on a data set of photovoltaic power plant of University of Tehran which only contained data of 100 days at the time of research. In this way some conventional models of time series are applied on the data set and output of models are fused by some common fusion algorithms and a new fusion algorithm which is proposed in this paper. Results show that using fusion algorithm a better forecasting could be obtained in the sense of maximum error of forecasting, root mean square of error, similarity in forecasting pattern of power generation in cloudy days and finally statistical characteristics of residuals. Results also express proposed algorithm could be observed as a good fusion algorithm.
{"title":"Forecasting generation of a PV power plant with a little data-set using information fusion","authors":"Masoud Bashari, A. Rahimi-Kian, S. Farhangi","doi":"10.1109/SGC.2014.7090856","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090856","url":null,"abstract":"This paper presents a new information based method of prediction which helps to obtain more information from a little data set and applies it on a data set of photovoltaic power plant of University of Tehran which only contained data of 100 days at the time of research. In this way some conventional models of time series are applied on the data set and output of models are fused by some common fusion algorithms and a new fusion algorithm which is proposed in this paper. Results show that using fusion algorithm a better forecasting could be obtained in the sense of maximum error of forecasting, root mean square of error, similarity in forecasting pattern of power generation in cloudy days and finally statistical characteristics of residuals. Results also express proposed algorithm could be observed as a good fusion algorithm.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124310977","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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