Iran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101A network constrained bi-level model for optimal generation expansion planning and optimal determination of feed-in tariffs for renewable energy resources196844310.22109/jemt.2018.141337.1110ENSeyed ArashRafieiFaculty of electrical and computer engineering / University of Birjand0000-0002-3780-8877SaeedrezaGoldaniFaculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranHamidFalaghiFaculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranJournal Article20180719This paper presents a new model for strategic generation expansion planning as well as investor decision making. The generation expansion planning in this paper is including the purchase of a guaranteed power, which is discussed at HL2. The existing problem has a target year (30 years later), which consists of several steps. Regarding time periods and strategic behavior of investors, a bi-level model is presented. The upper-level issue involves investment decisions and strategic products with the goal of maximizing investor profit and the lower-level includes market clearing equations aimed at maximizing social welfare. The bi-level model presented using the KKT conditions is converted into a problem of mathematical programming with equilibrium constraints (MPEC). In this paper, the contract price of the guaranteed purchase, the market price and the strategic offers as a variable in the problem that are in the output of the problem. The proposed model is implemented on a 6-bus network.https://www.jemat.org/article_68443_cdb3fcd3d3fde62fe3b549a90793467e.pdfIran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101Numerical Study of the Influence of Geometric Variation of the Tower on the Inflow Air Velocity of one Solar Chimney Power Plant10177709310.22109/jemt.2018.108891.1048ENAhmadJameeiDepartment of Architecture, Imam Khomeini International University, Qazvin, IranPooriaAkbarzadeh3Department of Mechanical Engineering, Shahrood University of Technology, Shahrood, IranHasanZolfagharzadehDepartment of Architecture, Imam Khomeini International University, Qazvin, Iran,Seyd RahmanEghbaliDepartment of Architecture, Imam Khomeini International University, Qazvin, IranJournal Article20171129A solar chimney power plant (SCPP) is a renewable power technology which is able to convert heat energy from solar radiations to mechanical powers. In this study, the influence of geometric variation of the tower on the Air Velocity of one SCPP is numerically investigated. Regarding the importance of the kinetic power of the hot air on power generation of SCPP, This article aims to propose an approach to increase the air velocity by considering the various forms of the chimney without changing the main dimensions of SCPP. This approach increases the efficiency of the power plant. For the numerical simulations, a commercial CFD code solves the governing equations using the finite volume method. To simulate the problem in the 3-dimensional setting, by cutting a 15 degrees wedge out of the whole power plant geometry, a pi-shape domain is created. In order to validate the obtained results, the Manzanares Power Plant experimental data are utilized. In this study, ten forms of chimney wall based on a logical procedure are examined. By considering this procedure, an appropriate divergence form for the chimney wall is obtained. These results indicate that the final form (i.e. the divergence form of the chimney wall) has the highest updraft air velocity which is an important factor on wind turbine power generation. In addition, the average updraft air velocity increases from 15.66 m/s for the basic form to the value of 22.52 m/s for the best form (form 7), (i.e. the increment of around 43.81%).https://www.jemat.org/article_77093_420b0313c754ef4586339aa847d1d7c2.pdfIran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101Optimal Allocation of Renewable DG and Capacitor for Improving Technical and Economic Indices in Real Distribution System with Nonlinear Load Model18287709410.22109/jemt.2018.122495.1071ENMasoudAliloudepartment of electrical engineering, faculty of computer and electrical engineering, Urmia university, Urmia, Iran0000-0001-8144-9448MortazaFarsadidepartment of electrical engineering, faculty of computer and electrical engineering, Urmia university, IranHosseinShayeghiElectrical Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran.0000-0003-0398-399XJournal Article20180312In this article, simultaneous placement and sizing of renewable distributed generation (DG) and capacitor bank is done in the distribution system with load model sensitive to voltage and frequency. Moreover, the various Customers’ daily load patterns are considered for evaluating the proposed algorithm in more realistic conditions. It is shown that the load model and time of day can significantly affect the performance of Renewable DG and capacitor bank in the distribution system. Wind turbine and photovoltaic are considered as renewable DG units. For better evaluating the proposed method, two situations are assumed for renewable DG units; firstly it is considered that their initial conditions are available at all times but in the next step, the DG units are evaluated in the variable weather condition during the 24-hour. The proposed objective functions are the active/reactive power loss, the voltage stability and the profit of company of distribution system. The combination of multi-objective whale optimization algorithm and analytical hierarchy process is used for optimizing the objective functions and selecting the optimal location and size of DG units and capacitor banks. The proposed algorithm is evaluated using the IEEE 69-bus distribution system and the actual 101-bus distribution network in Khoy-Iran. The results indicate the high performance of the proposed method in improving the technical and economic indices of the standard and actual distribution systems.https://www.jemat.org/article_77094_52db805b055a1ea1c8690f6017000023.pdfIran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101Hybrid Strategy for Optimal Scheduling of Renewable Integrated Energy Hub Based on Stochastic/Robust Approach29387709510.22109/jemt.2018.142275.1113ENMohammadJadidbonabFaculty of Electrical and Computer Engineering, University of TabrizSajadMadadiUniversity of TabrizBehnamMohammadi-ivatlooFaculty of Electrical and Computer Engineering, University of Tabriz , Tabriz, Iran0000-0002-0255-8353Journal Article20180726Energy hubs play an undeniable role in the power system as the coupling among various energy infrastructures such as electrical network, natural gas system, thermal network and renewable generation systems. This paper assesses the renewable based energy hub (REH) optimal scheduling considering combined heat and power (CHP) unit, energy storage components, auxiliary boiler and wind turbine via hybrid stochastic/robust (HSR) approach. This paper proposes a strategy to control and model the uncertainties relevant to energy prices, wind turbine generation and energy demands by using the proposed HSR method. By using the HSR method, the global optimal results of the proposed REH scheduling problem can be reached. In addition, the computation burden of the proposed problem is reduced. Furthermore, by the HSR approach, the operator of the system can follow a robust strategy to immune the system against the worst events. The proposed system can participate in the thermal energy market beside electricity market by way of self-scheduling method. Three sets of possible scenarios are used to model the forecasted errors of demands and wind generation uncertainties, while robust optimization method is implemented to manage the uncertainties relevant to electrical and thermal energy prices.https://www.jemat.org/article_77095_d65bffd28c396d6b8b64582fd749730c.pdfIran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101Determining the Optimal Performance of Compressed Natural Gas (CNG) Station Based on PSO Algorithm39448037710.22109/jemt.2018.103355.1043ENHamidYazdaniDepartment of Chemical Engineering, Faculty of engineering, Payame-Noor University, Tehran, IranSeyedeh RahilMousaviFaculty of Engineering, Department of chemical engineering, University of Kashan, IranJournal Article20171031In this study, we have attempted to model the compression and fast filling processes of the compressed natural gas (CNG) and its simulation in FORTRAN programming software. In this modeling, natural gas has been considered as a real gas and AGA-8 equation of state is used for computing the compressibility factor and other thermodynamic properties. In order to compute the compressor work, the polytropic compression process of a real gas in a three stage compressor is considered. Also, the fast filling process (FFP) is modeled based on mass conservation and thermodynamic first laws in a non-adiabatic cylinder. Using the aforementioned proposed models, the compressor work, the heat lost in the coolers, final temperature and accumulated mass of the gas in the cylinder, fill ratio and refueling process time in different pressure arrangements of the station tanks are computed at 5 ambient temperatures. Finally, in order to determine the optimal operational conditions, the optimization was performed based on the particle swarm optimization (PSO) algorithm. The pressure arrangement of 4-8.1-16-20.5 MPa for the station tanks and ambient temperature equal to 273.15 K were reported as the optimal conditions.https://www.jemat.org/article_80377_d7624597aee42bffe1185d214d50feed.pdfIran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101Coordinated Generation and Transmission Expansion Planning with Optimal Wind and Thermal Power Integration45588057710.22109/jemt.2018.127882.1083ENMehdiNajjarFaculty of Electrical and Computer Engineering, University of Birjand, Birjand, IranHamidFalaghiFaculty of Electrical and Computer Engineering, University of Birjand0000-0002-5397-3143Journal Article20180420In this paper, coordinated transmission and generation expansion planning is presented and a comprehensive approach is proposed for determining optimal wind energy integration. In this way, a multi-state model is introduced for wind farms and correlation between wind farms is considered with a copula method. Optimal wind power integration is determined with regard to desired reliability level. In addition, thermal power integration is obtained for improvement of reliability in the presence of wind farms. Thus, optimal combination of new wind and thermal power is obtained considering technical and economic factors. The impacts of wind speed, correlation between wind farms, reliability level and emission penalty are evaluated on wind power integration and a Benders decomposition method is utilized that can be easily implemented on real large cases. The proposed method is applied to IEEE 24-bus and 118-bus test systems and its performance is demonstrated by evaluating the more influencing factors on wind farms integration.https://www.jemat.org/article_80577_4336f7e84ca672e3f6ea62a2d67c87af.pdfIran Energy Association (IEA)Journal of Energy Management and Technology2588-33722420181101The application of Imperialist Competitive Algorithm to the combined heat and power economic dispatch problem59698078710.22109/jemt.2018.141453.1111ENHosseinNourianfarRazi University, Kermanshah, IranHamdiAbdiElectrical Engineering Department, Engineering Faculty, Razi University, Kermanshah, IranJournal Article20180731As the penetration of multicarrier energy systems in power grid increases, the economical optimization analysis are becoming of increasing importance more and more. One of the most challenging issues in this context is optimizing the sophisticated combined carrier systems in power system operation field, especially solving the combined heat and power economic dispatch (CHPED) problems. This paper presents a solution for the sophisticated and non-convex CHPED problems applying the imperialist competitive algorithm (ICA). The idea of the introduced algorithm is derived from the social and political development of human societies. Different study cases by taking the effects of valve-point loading effect (VPLE) and transmission ohmic losses have been simulated to confirm the efficiency of the suggested algorithm. The obtained results from the ICA-based CHPED problem are compared with those obtained by various algorithms to prove the performance of the proposed algorithm in searching the optimal solution. As the results confirm, the ICA has superiority on CPSO, TVAC-PSO, RCGA, RCO, BCO, EP, DE, EMA, CSO, RCGA-IMM and GSA, which were previously proposed in this domain for solving the described problem.https://www.jemat.org/article_80787_493ee268b86fdedabcc6b49949174b90.pdf