Pub Date : 2014-12-01DOI: 10.1109/SGC.2014.7151039
A. A. Khodadoost Arani, G. Gharehpetian
Recently voltage source inverters have played an important role in stability of Microgrids (MGs). These inverters are controlled by droop control method. This method has several advantages such as using of local signals and satisfying steady state behavior of VSIs. But in transient, inverters have unbalanced power sharing and consequently circulating current flows between them. This current without feeding load flows and causes losses. In this paper for eliminating these problems, a new method based on conventional droop method is presented. This new method uses absolute value of current signal only and replacing LPF by a DC Mean Block. To compare two methods, a system with two parallel inverters is simulated in MATLAB. Comparison between Results of two methods shows effectiveness of proposed method in improvement of VSIs' behavior in transient response.
{"title":"A new control method for improving transient response of parallel VSIs in islanded microgrids","authors":"A. A. Khodadoost Arani, G. Gharehpetian","doi":"10.1109/SGC.2014.7151039","DOIUrl":"https://doi.org/10.1109/SGC.2014.7151039","url":null,"abstract":"Recently voltage source inverters have played an important role in stability of Microgrids (MGs). These inverters are controlled by droop control method. This method has several advantages such as using of local signals and satisfying steady state behavior of VSIs. But in transient, inverters have unbalanced power sharing and consequently circulating current flows between them. This current without feeding load flows and causes losses. In this paper for eliminating these problems, a new method based on conventional droop method is presented. This new method uses absolute value of current signal only and replacing LPF by a DC Mean Block. To compare two methods, a system with two parallel inverters is simulated in MATLAB. Comparison between Results of two methods shows effectiveness of proposed method in improvement of VSIs' behavior in transient response.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"3 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":"127855180","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.2014.7151035
N. Nikmehr, S. Najafi-Ravadanegh
Future distribution networks consist of some Micro grids (MGs) or Small Scale Energy Zones (SSEZs). In this paper the economic operation of SSEZs is formulated and solved as an optimization problem. A probabilistic model for Small Scale Energy Resources (SSERs) and load demand is used at each SSEZs to determine the optimal scheduling of microgrids with minimum operating cost. The power transaction between MGs and between MGs and the main is regulated based on the total operating cost and regarding the sold or purchase power either by microgrids or by main grid. The stochastically analysis of generated power with SSERs and their corresponding costs is determined considering optimization constraints and explained as PDF and CDF. The Imperialist Competitive Algorithm (ICA) and Particle Swarm Optimization (PSO) algorithm are applied to comparative study of the results as optimization algorithms. Based on the results, it is possible to determine the power demand and transaction between each SSEZs and the main grid. Besides, the results confirm that the power sharing between microgrids and main grid can decrease the operating cost of the smart distribution grids.
{"title":"Probabilistic optimal power dispatch in multi-microgrids using heuristic algorithms","authors":"N. Nikmehr, S. Najafi-Ravadanegh","doi":"10.1109/SGC.2014.7151035","DOIUrl":"https://doi.org/10.1109/SGC.2014.7151035","url":null,"abstract":"Future distribution networks consist of some Micro grids (MGs) or Small Scale Energy Zones (SSEZs). In this paper the economic operation of SSEZs is formulated and solved as an optimization problem. A probabilistic model for Small Scale Energy Resources (SSERs) and load demand is used at each SSEZs to determine the optimal scheduling of microgrids with minimum operating cost. The power transaction between MGs and between MGs and the main is regulated based on the total operating cost and regarding the sold or purchase power either by microgrids or by main grid. The stochastically analysis of generated power with SSERs and their corresponding costs is determined considering optimization constraints and explained as PDF and CDF. The Imperialist Competitive Algorithm (ICA) and Particle Swarm Optimization (PSO) algorithm are applied to comparative study of the results as optimization algorithms. Based on the results, it is possible to determine the power demand and transaction between each SSEZs and the main grid. Besides, the results confirm that the power sharing between microgrids and main grid can decrease the operating cost of the smart distribution grids.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"10 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":"114225795","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.2014.7150700
Leila Rashidi, J. Moshtagh, Vahid Maleki Meiabady
Voltage control is one of the most important issues in smart grids. Using the communication infrastructure and management that created in smart grids, end-user reactive power capable device can be coordinated for voltage support. Application and implementation of smart grids cause a fundamental change in the methods of reducing and eliminating voltage issues in distribution grids. Due to increasing role of Distributed Generations in distribution grids, by using traditional control methods, voltage issues cannot be improved desirably. In this paper a decentralized control scheme is proposed to control voltage in distribution grids. In this decentralized method, each network bus is equipped with a sensor and an oscillator to measure required parameters. It is shown that by using local coupling method, one can design the network without the need for a central controller. Genetic Algorithm is used as optimization method aimed at identifying the optimal asset of the voltage controllers. To verify the method, it is applied on the IEEE 33- bus system (unbalanced case).
{"title":"Decentralized control for optimal voltage regulation in smart distribution grids","authors":"Leila Rashidi, J. Moshtagh, Vahid Maleki Meiabady","doi":"10.1109/SGC.2014.7150700","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150700","url":null,"abstract":"Voltage control is one of the most important issues in smart grids. Using the communication infrastructure and management that created in smart grids, end-user reactive power capable device can be coordinated for voltage support. Application and implementation of smart grids cause a fundamental change in the methods of reducing and eliminating voltage issues in distribution grids. Due to increasing role of Distributed Generations in distribution grids, by using traditional control methods, voltage issues cannot be improved desirably. In this paper a decentralized control scheme is proposed to control voltage in distribution grids. In this decentralized method, each network bus is equipped with a sensor and an oscillator to measure required parameters. It is shown that by using local coupling method, one can design the network without the need for a central controller. Genetic Algorithm is used as optimization method aimed at identifying the optimal asset of the voltage controllers. To verify the method, it is applied on the IEEE 33- bus system (unbalanced case).","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"154 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":"121724261","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.2014.7090860
Seyed Mohsen, Mohammadi Hoseini Nezhad, A. Fereidunian, H. Lesani, Mirjavad Hashemi Gavgani
Power system reliability enhancement is one of the main goals pursued by making the systems smart. Self-healing, which includes fault detection, fault isolation, reconfiguration and service restoration, is the most notable feature of the smart grids in this regards. Increased penetration of distributed generation sources in power grids has even more facilitated the service restoration process. Onn the other hand, the significant progress in the technologies used in battery manufacturing has economically justified the utilization of electric vehicles in the improvement of system reliability. Nevertheless, in order to optimally make use of plug-in hybrid electric vehicles, their owner behavior should be properly modelled in the first place. In this paper stochastic nature of electric vehicle's behavior is modelled and the parking lots needed for self-healing in the islanding situation are optimally placed in the power grid. The proposed method is experimented on a 35-bus system. The results of simulation reveal that optimal usage of electric vehicles has notable effect on the improvement of system self-healing in islanding mode which consecutively results in the enhancement of power system reliability.
{"title":"Enhancement of self-healing property of smart grid in islanding mode using electric vehicles and direct load control","authors":"Seyed Mohsen, Mohammadi Hoseini Nezhad, A. Fereidunian, H. Lesani, Mirjavad Hashemi Gavgani","doi":"10.1109/SGC.2014.7090860","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090860","url":null,"abstract":"Power system reliability enhancement is one of the main goals pursued by making the systems smart. Self-healing, which includes fault detection, fault isolation, reconfiguration and service restoration, is the most notable feature of the smart grids in this regards. Increased penetration of distributed generation sources in power grids has even more facilitated the service restoration process. Onn the other hand, the significant progress in the technologies used in battery manufacturing has economically justified the utilization of electric vehicles in the improvement of system reliability. Nevertheless, in order to optimally make use of plug-in hybrid electric vehicles, their owner behavior should be properly modelled in the first place. In this paper stochastic nature of electric vehicle's behavior is modelled and the parking lots needed for self-healing in the islanding situation are optimally placed in the power grid. The proposed method is experimented on a 35-bus system. The results of simulation reveal that optimal usage of electric vehicles has notable effect on the improvement of system self-healing in islanding mode which consecutively results in the enhancement of power system reliability.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"63 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":"123520666","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.2014.7151036
M. Dalali, H. Kargar
Optimal PMU placement (OPP) is often done for full observability of network with minimum number of PMUs and maximum redundancy. On the other hand, placement of PMUs at HVDC connected buses is necessary for estimation of voltage stability margin. In this paper, OPP is done to achieve all of above goals. Binary integer linear programming (BILP) is used as solver algorithm, due to linear and binary characteristics of problem. OPP is tested on IEEE 14-bus test system and impact of HVDC location is studied on the number of required PMUs. Finally, different contingencies consist of single PMU failure, single line outage and occurrence of simultaneous events are presented in the paper.
{"title":"Placement of PMUs in HVDC connected networks considering voltage stability requirements","authors":"M. Dalali, H. Kargar","doi":"10.1109/SGC.2014.7151036","DOIUrl":"https://doi.org/10.1109/SGC.2014.7151036","url":null,"abstract":"Optimal PMU placement (OPP) is often done for full observability of network with minimum number of PMUs and maximum redundancy. On the other hand, placement of PMUs at HVDC connected buses is necessary for estimation of voltage stability margin. In this paper, OPP is done to achieve all of above goals. Binary integer linear programming (BILP) is used as solver algorithm, due to linear and binary characteristics of problem. OPP is tested on IEEE 14-bus test system and impact of HVDC location is studied on the number of required PMUs. Finally, different contingencies consist of single PMU failure, single line outage and occurrence of simultaneous events are presented in the paper.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"22 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":"126159650","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.2014.7150702
Tohid Shekari, A. Gholami, F. Aminifar
Transportation and electricity industries are known as the major sources of greenhouse gas emissions. Integration of electric vehicles (EVs) into the power network can considerably reduce the emission, for which transport is the fastest-growing emission sector. Moreover, gridable vehicles (GVs), i.e., EVs with vehicle-to-grid capability, can help to level the load profile by acting as loads, energy sources, and energy storage in smart grids. However, it is important to scrutinize the impacts of these vehicles by considering the operating and security constraints simultaneously. In this study, three different scenarios of EV integration are applied to a 9-bus test system. In each scenario, power losses, reliability, voltage profile, and load profile are analyzed comprehensively. In addition, the optimal size and location of parking lots are determined. The cuckoo optimization algorithm (COA) with high ability to find the best result, is applied to solve the mentioned nonlinear problem.
{"title":"Optimal parking lot placement considering operational and security limitations using COA","authors":"Tohid Shekari, A. Gholami, F. Aminifar","doi":"10.1109/SGC.2014.7150702","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150702","url":null,"abstract":"Transportation and electricity industries are known as the major sources of greenhouse gas emissions. Integration of electric vehicles (EVs) into the power network can considerably reduce the emission, for which transport is the fastest-growing emission sector. Moreover, gridable vehicles (GVs), i.e., EVs with vehicle-to-grid capability, can help to level the load profile by acting as loads, energy sources, and energy storage in smart grids. However, it is important to scrutinize the impacts of these vehicles by considering the operating and security constraints simultaneously. In this study, three different scenarios of EV integration are applied to a 9-bus test system. In each scenario, power losses, reliability, voltage profile, and load profile are analyzed comprehensively. In addition, the optimal size and location of parking lots are determined. The cuckoo optimization algorithm (COA) with high ability to find the best result, is applied to solve the mentioned nonlinear problem.","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":"128966228","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.2014.7150704
Amin Danandeh Hesar, Mahmoud Ahmadian Attari
In this paper, at first, the main vulnerability of a BPLC network in the cyberspace of a home-area section is introduced. Then, we simulate several cyberattacks using a modified version of a NSL-KDD dataset that is applicable in any desired BPLC network. The nodes are mainly metering and controlling devices that handle the consumed Internet traffic plus electricity bill. The communicational protocol for our network is IEEE 1901 which is a standard protocol among broadband communication devices that work in a BPLC network. In the main part of our simulations, we have benefited from three types of Intrusion Detection Systems (IDS) using two Artificial Immune System (AIS) algorithms as well as an algorithm based on Support Vector Machines (SVM). At the end of our simulations, we compare these three Intrusion Detection Systems according to FPR, FNR, and DR criteria. Simulation results show that with our modified dataset and methods we can ensure a pretty high accuracy in intrusion detection and prevention in the home area of a desired BPLC network.
{"title":"Simulating and analysis of cyber attacks on a BLPC network","authors":"Amin Danandeh Hesar, Mahmoud Ahmadian Attari","doi":"10.1109/SGC.2014.7150704","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150704","url":null,"abstract":"In this paper, at first, the main vulnerability of a BPLC network in the cyberspace of a home-area section is introduced. Then, we simulate several cyberattacks using a modified version of a NSL-KDD dataset that is applicable in any desired BPLC network. The nodes are mainly metering and controlling devices that handle the consumed Internet traffic plus electricity bill. The communicational protocol for our network is IEEE 1901 which is a standard protocol among broadband communication devices that work in a BPLC network. In the main part of our simulations, we have benefited from three types of Intrusion Detection Systems (IDS) using two Artificial Immune System (AIS) algorithms as well as an algorithm based on Support Vector Machines (SVM). At the end of our simulations, we compare these three Intrusion Detection Systems according to FPR, FNR, and DR criteria. Simulation results show that with our modified dataset and methods we can ensure a pretty high accuracy in intrusion detection and prevention in the home area of a desired BPLC network.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"128 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":"115779858","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.2014.7090863
Mirjavad Hashemi Gavgani, M. Abedi, F. Karimi, M. Aghamohammadi
As a precautionary remedy, load shedding has always been regarded as a strong choice when facing a voltage collapse. On the other hand, Demand Response (DR) is often an interactive communication which highlights customer's participation, more often in smart grid technologies. Moreover, DR plan is introduced as an appropriate choice when system Voltage Stability is jeopardized. In this paper, a new approach for improving voltage security is brought up using DR plan, sensitivity analysis and neural network which is accentuated by its super-fast processing. Since different load patterns result in different Pmax and PV curve, a unique way of DR units participation is explored in which the optimum load decrease pattern and consequently the optimum VSM improvement are met when the least amount of DR units participation is employed, In this research, IEEE 39-BUS power grid is selected as the case study, and PV curve method is used for voltage seeurity analysis. Then MLP ANNs are used to speed up the calculations during the system operation.
{"title":"Demand response-based voltage security improvement using artificial neural networks and sensitivity analysis","authors":"Mirjavad Hashemi Gavgani, M. Abedi, F. Karimi, M. Aghamohammadi","doi":"10.1109/SGC.2014.7090863","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090863","url":null,"abstract":"As a precautionary remedy, load shedding has always been regarded as a strong choice when facing a voltage collapse. On the other hand, Demand Response (DR) is often an interactive communication which highlights customer's participation, more often in smart grid technologies. Moreover, DR plan is introduced as an appropriate choice when system Voltage Stability is jeopardized. In this paper, a new approach for improving voltage security is brought up using DR plan, sensitivity analysis and neural network which is accentuated by its super-fast processing. Since different load patterns result in different Pmax and PV curve, a unique way of DR units participation is explored in which the optimum load decrease pattern and consequently the optimum VSM improvement are met when the least amount of DR units participation is employed, In this research, IEEE 39-BUS power grid is selected as the case study, and PV curve method is used for voltage seeurity analysis. Then MLP ANNs are used to speed up the calculations during the system operation.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"56 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":"127059247","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.2014.7150710
R. Safari, B. Tavassoli
In this paper, the problem of stability analysis of networked control systems with multiple communication channels, time-varying delays and generalized nonlinear perturbations is addressed. By applying Lyapunov-Krasovskii functional and by exploiting Newton-Leibniz formula and some free-weighting matrices, a new sufficient delay dependent criteria is established for checking the asymptotical stability of the considered system in the linear matrix inequality (LMI) framework. Via available software packages, the obtained LMI is easy to implement and verify. In addition, a numerical example is presented to indicate the effectiveness of the proposed criteria.
{"title":"Stability analysis of networked control systems with generalized nonlinear perturbations","authors":"R. Safari, B. Tavassoli","doi":"10.1109/SGC.2014.7150710","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150710","url":null,"abstract":"In this paper, the problem of stability analysis of networked control systems with multiple communication channels, time-varying delays and generalized nonlinear perturbations is addressed. By applying Lyapunov-Krasovskii functional and by exploiting Newton-Leibniz formula and some free-weighting matrices, a new sufficient delay dependent criteria is established for checking the asymptotical stability of the considered system in the linear matrix inequality (LMI) framework. Via available software packages, the obtained LMI is easy to implement and verify. In addition, a numerical example is presented to indicate the effectiveness of the proposed criteria.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"6 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":"125754554","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.2014.7151037
Reza Keypour, S. Bazyari
The micro-grid technology provides an effective technical approach for the new energy and renewable energy to grid-connect; however, the micro-grid optimal operation is one of the most important and difficult studies. The implementation in CO2 Emissions Trade provides favorable conditions for micro-grid operating economically. In order to analyze the effects of CO2 Emissions Trade on grid-connected micro-grid, CO2 Emissions Trade is taken into account to build an optimal operation model of micro-grid. The modified Artificial Fish Swarm Algorithm (AFSA) has been issued to solve the model based on the target, the lowest totally economic cost. The results of the simulation on typical micro-grid show that the model is suitable to solve micro-grid parallel running, and more important, the CO2 Emissions Trade can significantly improve the economics of micro-grid.
微电网技术为新能源和可再生能源并网提供了有效的技术途径;然而,微电网优化运行问题一直是微电网优化研究的重点和难点之一。二氧化碳排放权交易的实施为微电网经济运行提供了有利条件。为了分析二氧化碳排放权交易对并网微网的影响,考虑二氧化碳排放权交易,建立微网最优运行模型。提出了一种改进的人工鱼群算法(Artificial Fish Swarm Algorithm, AFSA),以总经济成本最低为目标求解模型。对典型微电网的仿真结果表明,该模型适用于解决微电网并网运行问题,并且CO2排放权交易能够显著提高微电网的经济性。
{"title":"Optimal scheduling of DERs in a micro-grid by considering CO2 emissions trade","authors":"Reza Keypour, S. Bazyari","doi":"10.1109/SGC.2014.7151037","DOIUrl":"https://doi.org/10.1109/SGC.2014.7151037","url":null,"abstract":"The micro-grid technology provides an effective technical approach for the new energy and renewable energy to grid-connect; however, the micro-grid optimal operation is one of the most important and difficult studies. The implementation in CO2 Emissions Trade provides favorable conditions for micro-grid operating economically. In order to analyze the effects of CO2 Emissions Trade on grid-connected micro-grid, CO2 Emissions Trade is taken into account to build an optimal operation model of micro-grid. The modified Artificial Fish Swarm Algorithm (AFSA) has been issued to solve the model based on the target, the lowest totally economic cost. The results of the simulation on typical micro-grid show that the model is suitable to solve micro-grid parallel running, and more important, the CO2 Emissions Trade can significantly improve the economics of micro-grid.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"164 9 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":"125962282","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}