Pub Date : 2016-06-02DOI: 10.1109/CTPP.2016.7482927
J. Morsali, K. Zare, M. T. Hagh
In this paper, automatic generation control (AGC) problem of an interconnected two-area multi-source power system is investigated. Each control area includes generations from reheat thermal, gas, and hydro units. Appropriate dynamic models are used for simulation of physical constraints of governor dead band (GDB) effect in the reheat thermal and generation rate constraint (GRC) in the reheat thermal and hydro generating units. This paper demonstrates that evaluating the dynamic performance of AGC without regarding these issues does not show precise and realistic results. A simple integral (I) controller is considered as secondary load frequency controller (LFC) loop. The LFC design is formulated as an optimization problem in which integral of time multiplied squared error (ITSE) performance index is minimized by an improved particle swarm optimization (IPSO) algorithm to adjust I controller. The LFC performance is evaluated under step, sinusoidal and random load perturbation patterns. To show the robustness of the proposed approach, sensitivity analyses are performed under various uncertainty scenarios. All simulations are performed in MATLAB/SIMULINK environment. The results are compared with the case of without considering the GDB and GRC non-linearity effects. The results demonstrate that with considering the GRC and GDB, the oscillations are not damped effectively and even they are increasing under uncertainty conditions.
{"title":"AGC of interconnected multi-source power system with considering GDB and GRC nonlinearity effects","authors":"J. Morsali, K. Zare, M. T. Hagh","doi":"10.1109/CTPP.2016.7482927","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482927","url":null,"abstract":"In this paper, automatic generation control (AGC) problem of an interconnected two-area multi-source power system is investigated. Each control area includes generations from reheat thermal, gas, and hydro units. Appropriate dynamic models are used for simulation of physical constraints of governor dead band (GDB) effect in the reheat thermal and generation rate constraint (GRC) in the reheat thermal and hydro generating units. This paper demonstrates that evaluating the dynamic performance of AGC without regarding these issues does not show precise and realistic results. A simple integral (I) controller is considered as secondary load frequency controller (LFC) loop. The LFC design is formulated as an optimization problem in which integral of time multiplied squared error (ITSE) performance index is minimized by an improved particle swarm optimization (IPSO) algorithm to adjust I controller. The LFC performance is evaluated under step, sinusoidal and random load perturbation patterns. To show the robustness of the proposed approach, sensitivity analyses are performed under various uncertainty scenarios. All simulations are performed in MATLAB/SIMULINK environment. The results are compared with the case of without considering the GDB and GRC non-linearity effects. The results demonstrate that with considering the GRC and GDB, the oscillations are not damped effectively and even they are increasing under uncertainty conditions.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133412764","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483060
Meisam Moradi, A. Badri, R. Ghandehari
Economic dispatch (ED) is an optimization tool that is used to allocate active load demands to the generating units through optimizing cost functions subject to the non-linear and non-convex operation constraints. Economic dispatch is a non-convex and non-linear problem in power systems. The problem characteristic is due to the valve-point effect in the generation unit cost functions, transmission losses, emission constrains and etc. Therefore, proposing an effective economic dispatch solution method for this optimization problem is important. Most optimization algorithm methods suffer from poor convergence characteristics for larger constrained problems. To overcome this difficulty, grey wolf optimization (GWO) approach is presented in this paper to solve the non-linear and non-convex economic dispatch problem taking into account valve-point effects and transmission losses. To represent the effectiveness of the GWO algorithm, the obtained results are compared with some existing meta-heuristics methods. These results show the effectiveness and the superiority of GWO algorithm over the other well-known methods.
{"title":"Non-convex constrained economic dispatch with valve point loading effect using a grey wolf optimizer algorithm","authors":"Meisam Moradi, A. Badri, R. Ghandehari","doi":"10.1109/CTPP.2016.7483060","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483060","url":null,"abstract":"Economic dispatch (ED) is an optimization tool that is used to allocate active load demands to the generating units through optimizing cost functions subject to the non-linear and non-convex operation constraints. Economic dispatch is a non-convex and non-linear problem in power systems. The problem characteristic is due to the valve-point effect in the generation unit cost functions, transmission losses, emission constrains and etc. Therefore, proposing an effective economic dispatch solution method for this optimization problem is important. Most optimization algorithm methods suffer from poor convergence characteristics for larger constrained problems. To overcome this difficulty, grey wolf optimization (GWO) approach is presented in this paper to solve the non-linear and non-convex economic dispatch problem taking into account valve-point effects and transmission losses. To represent the effectiveness of the GWO algorithm, the obtained results are compared with some existing meta-heuristics methods. These results show the effectiveness and the superiority of GWO algorithm over the other well-known methods.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"5 s11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388726","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483058
Moien Mohamadi, E. Roshandel, Sayed Mokhtar Gheasaryan, Pooya Khoshkalamyan
With the advancements of photovoltaic panels Solar power plants extend their grip further in the power system every day. It is necessary that these new power plants work together with classic power plants. In this paper the simultaneous operation of a solar power plant with a steam power plant in a power system has been considered. The solar power plant operates with incremental conductance maximum power point tracking (IncCon MPPT) with direct control which is implemented through a boost converter. The inverter of solar power plant is manipulated to perform active power filtering in addition to converting DC power to AC. A d-q reference frame controller is used to perform the active power filtering. The steam power plant is also uses a PSS to stabilize the power system and damp power transients. A metaheuristic method called smart line search teaching learning based optimization (SLS-TLBO) is used to optimize the PSS parameter. In this paper, it is shown that the simultaneous operation of solar power plant can enhance the performance of the power system.
{"title":"Stability and power factor improvement in a power system with simultaneous generation of steam and solar power plant","authors":"Moien Mohamadi, E. Roshandel, Sayed Mokhtar Gheasaryan, Pooya Khoshkalamyan","doi":"10.1109/CTPP.2016.7483058","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483058","url":null,"abstract":"With the advancements of photovoltaic panels Solar power plants extend their grip further in the power system every day. It is necessary that these new power plants work together with classic power plants. In this paper the simultaneous operation of a solar power plant with a steam power plant in a power system has been considered. The solar power plant operates with incremental conductance maximum power point tracking (IncCon MPPT) with direct control which is implemented through a boost converter. The inverter of solar power plant is manipulated to perform active power filtering in addition to converting DC power to AC. A d-q reference frame controller is used to perform the active power filtering. The steam power plant is also uses a PSS to stabilize the power system and damp power transients. A metaheuristic method called smart line search teaching learning based optimization (SLS-TLBO) is used to optimize the PSS parameter. In this paper, it is shown that the simultaneous operation of solar power plant can enhance the performance of the power system.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133509080","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483055
Nazanin Behrooz, A. Ghaffarinejad, Razieh Salahandish
The orange peel extract (OPE) molecules inhibition of mild steel corrosion in 1 M HCl solution studied in this article. Orange peel is an industrial waste from juice processing so the orange peel extract is one of the possible ways for protecting mild steel from corrosion. Potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) showed that the OPE acts as bioinhibitor in the acidic media. The results showed that by increasing the inhibitor concentration up to 2 g L-1 and decreasing the temperature, the inhibition efficiency increased (>90%). The inhibiting effect could be attributed to the presence of organic compounds with functional groups including O, N, Cl, Br and F atoms in the OPE which are adsorbed on the surface of the mild steel that analyzed by GC-MS.
本文研究了橙皮提取物(OPE)分子在1 M HCl溶液中对低碳钢的缓蚀作用。柑桔皮是果汁加工过程中的工业废渣，因此柑桔皮提取物是保护低碳钢免受腐蚀的可能方法之一。动电位极化和电化学阻抗谱(EIS)表明，OPE在酸性介质中具有生物抑制剂的作用。结果表明，将缓蚀剂浓度提高至2 g L-1，降低温度，缓蚀剂的缓蚀效率可提高90%。气相色谱-质谱分析表明，这种抑制作用可能是由于OPE中含有O、N、Cl、Br和F等官能团的有机化合物吸附在低碳钢表面所致。
{"title":"Effect of orange peel extract on the corrosion of mild steel in 1 M HCl solution","authors":"Nazanin Behrooz, A. Ghaffarinejad, Razieh Salahandish","doi":"10.1109/CTPP.2016.7483055","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483055","url":null,"abstract":"The orange peel extract (OPE) molecules inhibition of mild steel corrosion in 1 M HCl solution studied in this article. Orange peel is an industrial waste from juice processing so the orange peel extract is one of the possible ways for protecting mild steel from corrosion. Potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) showed that the OPE acts as bioinhibitor in the acidic media. The results showed that by increasing the inhibitor concentration up to 2 g L-1 and decreasing the temperature, the inhibition efficiency increased (>90%). The inhibiting effect could be attributed to the presence of organic compounds with functional groups including O, N, Cl, Br and F atoms in the OPE which are adsorbed on the surface of the mild steel that analyzed by GC-MS.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133747080","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7482929
M. G. Kazemi, M. Montazeri
Regarding a disturbance attenuation level as a measure of the robustness of an observer, the robust Fault Detection (FD) of Lipschitz nonlinear systems is noticed here. A nonlinear observer is designed based on different criteria for the class of nonlinear systems called Lipschitz nonlinear system. An FD system is obtained based on the nonlinear observer, which has some robustness aspect in the presence of disturbance and can efficiently detect various sensor and component faults. Simulation results show the effectiveness of the proposed FD system for the nonlinear Heat Recovery Steam Generator (HRSG) plant.
{"title":"Robust fault detection of Lipschitz nonlinear systems: Application to heat recovery steam generator","authors":"M. G. Kazemi, M. Montazeri","doi":"10.1109/CTPP.2016.7482929","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482929","url":null,"abstract":"Regarding a disturbance attenuation level as a measure of the robustness of an observer, the robust Fault Detection (FD) of Lipschitz nonlinear systems is noticed here. A nonlinear observer is designed based on different criteria for the class of nonlinear systems called Lipschitz nonlinear system. An FD system is obtained based on the nonlinear observer, which has some robustness aspect in the presence of disturbance and can efficiently detect various sensor and component faults. Simulation results show the effectiveness of the proposed FD system for the nonlinear Heat Recovery Steam Generator (HRSG) plant.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126738855","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7482931
B. Jeddi, A. H. Einaddin, R. Kazemzadeh
Realistic optimal power flow is a non-convex and complicated optimization problem which tries to economically dispatch the load between different generation units and some other objective functions, while the operational limitations of each unit are satisfied. In this paper three non-commensurable and contradictory objectives namely total fuel cost, total emission, and total real power loss are considered which conclude to a multi-objective (MO) optimization problem. Also, this paper proposes a multi-objective electromagnetism-like algorithm (MOEMA) based on the Pareto dominance concept and external archive strategy to solve the formulated MO problem. The feasibility and effectiveness of the proposed method is tested on the IEEE 30-bus test system and obtained numerical results are compared with the results of other heuristic methods reported in recent literature. The single and MO optimization results prove the effectiveness of the proposed optimization algorithms over other methods.
{"title":"Optimal power flow problem considering the cost, loss, and emission by multi-objective electromagnetism-like algorithm","authors":"B. Jeddi, A. H. Einaddin, R. Kazemzadeh","doi":"10.1109/CTPP.2016.7482931","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482931","url":null,"abstract":"Realistic optimal power flow is a non-convex and complicated optimization problem which tries to economically dispatch the load between different generation units and some other objective functions, while the operational limitations of each unit are satisfied. In this paper three non-commensurable and contradictory objectives namely total fuel cost, total emission, and total real power loss are considered which conclude to a multi-objective (MO) optimization problem. Also, this paper proposes a multi-objective electromagnetism-like algorithm (MOEMA) based on the Pareto dominance concept and external archive strategy to solve the formulated MO problem. The feasibility and effectiveness of the proposed method is tested on the IEEE 30-bus test system and obtained numerical results are compared with the results of other heuristic methods reported in recent literature. The single and MO optimization results prove the effectiveness of the proposed optimization algorithms over other methods.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126419035","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483059
Mohsen Rezayati, M. Haerinia, E. Afjei
This paper will examine the technical examine the technical and economic optimization of renewable energy for residential buildings. Due to climate conditions, different cities have a different potential for the use of renewable energies. For this study, the optimal model using HOMER software for an apartment with a maximum power consumption of 63 kW and 393 kWh of energy per day provided. The cost and useful life of the equipment, whichever is investigated. The cost of diesel fuel, solar radiation and wind speed, sensitivity was considered as variables and sensitivity analysis was performed. Simulations are carried out starting from hourly local load demand, wind speed data, approximate solar radiation, and energy market. Various configurations and various available contracts for obtaining energy from the different sources are analyzed and compared. The results show that Esfahan has the potential for reduction of energy cost, pollutant and dependency on the grid, along with substantial economic benefits. For this city, the combination of diesel generators and solar panels with battery and inverter, as the most appropriate way to provide such a power can be exploited. Also, this work has showed that Yazd is a good selection for using renewable energy, without considering diesel generator.
{"title":"Technical and economic analysis of employing variety of renewable energy in buildings, taking into account different climatic conditions","authors":"Mohsen Rezayati, M. Haerinia, E. Afjei","doi":"10.1109/CTPP.2016.7483059","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483059","url":null,"abstract":"This paper will examine the technical examine the technical and economic optimization of renewable energy for residential buildings. Due to climate conditions, different cities have a different potential for the use of renewable energies. For this study, the optimal model using HOMER software for an apartment with a maximum power consumption of 63 kW and 393 kWh of energy per day provided. The cost and useful life of the equipment, whichever is investigated. The cost of diesel fuel, solar radiation and wind speed, sensitivity was considered as variables and sensitivity analysis was performed. Simulations are carried out starting from hourly local load demand, wind speed data, approximate solar radiation, and energy market. Various configurations and various available contracts for obtaining energy from the different sources are analyzed and compared. The results show that Esfahan has the potential for reduction of energy cost, pollutant and dependency on the grid, along with substantial economic benefits. For this city, the combination of diesel generators and solar panels with battery and inverter, as the most appropriate way to provide such a power can be exploited. Also, this work has showed that Yazd is a good selection for using renewable energy, without considering diesel generator.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127766854","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7482926
M. Rahnama, A. Vahedi
Reliability and availability of synchronous generator in power plant is related to performance of exciter system that is coupled mechanically and electrically to synchronous generator. This paper focused on the condition monitoring of rotating rectifier diodes in brushless exciter. Two common types of diode failures such as diode open-circuit and diode short-circuit on the one branch of rotating rectifier are simulated during no load and full load conditions. All accessible signals of main generator and exciter are analyzed by FFT method. In the end best signals for detection fault condition are introduced and suitable criteria to distinguish between diode failures are presented.
{"title":"Rotary diode failure detection in brushless exciter system of power plant synchronous generator","authors":"M. Rahnama, A. Vahedi","doi":"10.1109/CTPP.2016.7482926","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482926","url":null,"abstract":"Reliability and availability of synchronous generator in power plant is related to performance of exciter system that is coupled mechanically and electrically to synchronous generator. This paper focused on the condition monitoring of rotating rectifier diodes in brushless exciter. Two common types of diode failures such as diode open-circuit and diode short-circuit on the one branch of rotating rectifier are simulated during no load and full load conditions. All accessible signals of main generator and exciter are analyzed by FFT method. In the end best signals for detection fault condition are introduced and suitable criteria to distinguish between diode failures are presented.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133411663","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7483054
Ehsan Kazemi Robati, M. Shivaie, M. Ameli
In this paper, a novel approach is presented to find the optimal adjustment of Automatic Generation Control (AGC) system in a two-area power system. In the proposed method, a newly developed harmony search algorithm is implemented to solve the non-convex non-linear problem of AGC. In order to show efficiency of the proposed approach, the response of HSA-Optimized system to disturbances is compared with the results of GA-Optimized system. The cost function of the proposed problem is considered based on Integral of Time Multiplied Square Error (ITSE). In order to improve the system performance, frequency bias factor (FBF) is modeled in the problem and the proposed method is implemented in a non-linear interconnected two area power system. Simulation results verified that employing the proposed approach in optimization process of control system would guarantee a better system performance comparing to other methods.
{"title":"A novel approach to improve automatic generation control of a two-area power system considering frequency bias factor","authors":"Ehsan Kazemi Robati, M. Shivaie, M. Ameli","doi":"10.1109/CTPP.2016.7483054","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7483054","url":null,"abstract":"In this paper, a novel approach is presented to find the optimal adjustment of Automatic Generation Control (AGC) system in a two-area power system. In the proposed method, a newly developed harmony search algorithm is implemented to solve the non-convex non-linear problem of AGC. In order to show efficiency of the proposed approach, the response of HSA-Optimized system to disturbances is compared with the results of GA-Optimized system. The cost function of the proposed problem is considered based on Integral of Time Multiplied Square Error (ITSE). In order to improve the system performance, frequency bias factor (FBF) is modeled in the problem and the proposed method is implemented in a non-linear interconnected two area power system. Simulation results verified that employing the proposed approach in optimization process of control system would guarantee a better system performance comparing to other methods.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117252174","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 : 1900-01-01DOI: 10.1109/CTPP.2016.7482932
Mojgan Mollahassani-pour, M. Rashidinejad, A. Abdollahi
This paper proposes a novel mechanism for maintenance scheduling of generating units in the smart environment concentrating on Demand Response Resources (DRRs). DRRs as virtual power plants in energy policy decisions affect the controllability of power system ranging from short-term to long-term. Here, an economic model of responsive loads based upon price elasticity of demand and customers' benefit function is utilized. The nominated multi objective security constrained Preventive Maintenance (PM) scheduling incorporating Demand Response Programs (DRPs), aims to minimizing total system expenditures and generated emissions over the scheduling time horizon. Total system expenditures include operation and maintenance costs, reserve cost, and total incentive due to participating in DRPs. Utilizing Lexicographic method as one of the Multi Objective Decision Making (MODM) techniques, the maintenance scheme, commitment status, energy and reserve scheduling are determined along the scheduling horizon. Furthermore, the actual potential for customers' participation in DRPs and, multifarious optimal incentive in per bus are also derived. Several analyses are carried out on the IEEE-RTS to confirm the capability of the proposed framework.
{"title":"Responsive loads effects on maintenance scheduling of generators using lexicographic technique","authors":"Mojgan Mollahassani-pour, M. Rashidinejad, A. Abdollahi","doi":"10.1109/CTPP.2016.7482932","DOIUrl":"https://doi.org/10.1109/CTPP.2016.7482932","url":null,"abstract":"This paper proposes a novel mechanism for maintenance scheduling of generating units in the smart environment concentrating on Demand Response Resources (DRRs). DRRs as virtual power plants in energy policy decisions affect the controllability of power system ranging from short-term to long-term. Here, an economic model of responsive loads based upon price elasticity of demand and customers' benefit function is utilized. The nominated multi objective security constrained Preventive Maintenance (PM) scheduling incorporating Demand Response Programs (DRPs), aims to minimizing total system expenditures and generated emissions over the scheduling time horizon. Total system expenditures include operation and maintenance costs, reserve cost, and total incentive due to participating in DRPs. Utilizing Lexicographic method as one of the Multi Objective Decision Making (MODM) techniques, the maintenance scheme, commitment status, energy and reserve scheduling are determined along the scheduling horizon. Furthermore, the actual potential for customers' participation in DRPs and, multifarious optimal incentive in per bus are also derived. Several analyses are carried out on the IEEE-RTS to confirm the capability of the proposed framework.","PeriodicalId":309316,"journal":{"name":"2016 6th Conference on Thermal Power Plants (CTPP)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131283053","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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