scholarly journals A Novel Design and Optimization Software for Autonomous PV/Wind/Battery Hybrid Power Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Ali M. Eltamaly ◽  
Mohamed A. Mohamed
Keyword(s):  
Optimal Design ◽  
Power Systems ◽  
Computer Program ◽  
Energy System ◽  
Main Function ◽  
Hybrid Energy ◽  
Design And Optimization ◽  
Computer Simulation Program ◽  
Battery Energy ◽  
Short Time

This paper introduces a design and optimization computer simulation program for autonomous hybrid PV/wind/battery energy system. The main function of the new proposed computer program is to determine the optimum size of each component of the hybrid energy system for the lowest price of kWh generated and the best loss of load probability at highest reliability. This computer program uses the hourly wind speed, hourly radiation, and hourly load power with several numbers of wind turbine (WT) and PV module types. The proposed computer program changes the penetration ratio of wind/PV with certain increments and calculates the required size of all components and the optimum battery size to get the predefined lowest acceptable probability. This computer program has been designed in flexible fashion that is not available in market available software like HOMER and RETScreen. Actual data for Saudi sites have been used with this computer program. The data obtained have been compared with these market available software. The comparison shows the superiority of this computer program in the optimal design of the autonomous PV/wind/battery hybrid system. The proposed computer program performed the optimal design steps in very short time and with accurate results. Many valuable results can be extracted from this computer program that can help researchers and decision makers.

GTPRO: A Flexible, Interactive Computer Program for the Design and Optimization of Gas Turbine Power Systems

1988 ◽  
Author(s):  
Maher A. Elmasri
Keyword(s):  
Power Systems ◽  
Computer Program ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Combined Cycle ◽  
Process Flow ◽  
Technical Parameters ◽  
Design And Optimization ◽  
Trade Offs ◽  
Combined Cycles

A fast, interactive, flexible computer program has been developed to facilitate system selection and design for gas turbine based power and cogeneration plants. A data base containing ISO performance information on forty-two gas turbines is coupled to an off-design model to predict engine characteristics for different site and installation parameters. A heat recovery steam generator (HRSG) model allows boiler size and cost to be estimated as a function of the system’s technical parameters. The model can handle HRSG’s with up to two live steam pressures plus a third feedheating/deaerating drum. Five basic types of combined cycle are covered with up to four different process steam streams for cogeneration or gas turbine injection. Two additional feedheating steam bleeds are supported for condensing combined cycles. The program is intelligent with some internal decision making capabilities regarding process steam sourcing and flow directions and will automatically select the appropriate heat and mass balance procedures to cover a wide variety of process flow schematics. The program provides plotter outputs to show the cycle process flow schematic, T-s and h-s diagrams, and HRSG temperature profiles. An application of GTPRO in analyzing some technical and economic performance trade-offs for two-pressure combined cycles is presented.

Optimization and evaluation of a wind, solar and fuel cell hybrid system in supplying electricity to a remote district in national grid

2019 ◽  
Vol 14 (2) ◽  
pp. 408-418
Author(s):  
Reza Alayi ◽  
Alibakhsh Kasaeian ◽  
Atabak Najafi ◽  
Eskandar Jamali
Keyword(s):  
Hybrid System ◽  
Design Methodology ◽  
Energy System ◽  
Current Load ◽  
Hybrid Energy System ◽  
Content Type ◽  
Hybrid Energy ◽  
Design And Optimization ◽  
Load Demand ◽  
Hybrid Optimization Model

Purpose The important factors, which should be considered in the design of a hybrid system of photovoltaic and wind energy are discussed in this study. The current load demand for electricity, as well as the load profile of solar radiation and wind power of the specified region chosen in Iran, is the basis of design and optimization in this study. Hybrid optimization model for electric renewable (HOMER) software was used to simulate and optimize hybrid energy system technically and economically. Design/methodology/approach HOMER software was used to simulate and optimize hybrid energy system technically and economically. Findings The maximum radiation intensity for the study area is 7.95 kwh/m2/day for July and the maximum wind speed for the study area is 11.02 m/s for January. Originality/value This research is the result of the original studies.

scholarly journals An Improved Dispatch Strategy of a Grid-Connected Hybrid Energy System with High Penetration Level of Renewable Energy

2014 ◽  
Vol 2014 ◽  
pp. 1-18
Author(s):  
Yan Zhang ◽  
Jie Meng ◽  
Bo Guo ◽  
Tao Zhang
Keyword(s):  
Renewable Energy ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Fast Response ◽  
Time Shift ◽  
Frequency Regulation ◽  
Hybrid Energy ◽  
High Penetration ◽  
Battery Energy

As more and more renewable energy sources (RES) integrated into the conventional distribution system, how to make the current electric grid more reliable and efficient is becoming an important topic the world must face. In order to achieve these goals, grid-connected hybrid energy systems (HES) which contain battery energy storage systems (BESS) and many other advanced technologies have been developed and applied. Many benefits of BESS, such as high density of energy and power, have fast response in energy time-shift, frequency regulation, and so on. This paper focuses on the fluctuation alleviation and power quality improvement of grid-connected HES with high penetration level of RES. A multistage dispatch strategy of BESS for HES is proposed in this paper to mitigate the randomness and intermittence of the power flowed in HES because of high penetration level of RES integration. Four other conventional strategies are also discussed for evaluating the performance of the method proposed in this paper. Detailed cases and corresponding discussions are implemented, and the results show that the method proposed in this paper is more effective and robust than the other conventional strategies.

scholarly journals Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm

2019 ◽  
Vol 9 (6) ◽  
pp. 4905-4911
Author(s):  
N. Regis ◽  
C. M. Muriithi ◽  
L. Ngoo
Keyword(s):  
Power Systems ◽  
Cost Minimization ◽  
Storage System ◽  
Optimization Technique ◽  
Pso Algorithm ◽  
Energy System ◽  
Photovoltaic System ◽  
Pv System ◽  
Battery Capacity ◽  
Battery Energy

This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in residential grid-connected photovoltaic systems. The optimization technique targets the sizing of the battery storage system. With the liberation of power systems, the residential grid-connected photovoltaic system can supply power to the grid during peak hours or charge the battery during non-peak hours for later domestic use or for selling back to the grid during peak hours. However, this can only be achieved when the battery energy system in the residential photovoltaic system is optimized. The developed PSO algorithm aims at optimizing the battery capacity that will lower the operation cost of the system. The computational efficiency of the developed algorithm is demonstrated using real PV data from Strathmore University. A comparative study of a PV system with and without battery energy storage is carried out and the simulation results demonstrate that PV system with battery is more efficient when optimized with PSO.

scholarly journals Enabling Resilient Multi-Mode Controller in Power System With Re and Bes Using Firefly Algorithm

2020 ◽  
Author(s):  
Herlambang Setiadi ◽  
Mithulananthan Nadarajah ◽  
Md Rakibuzzaman Shah ◽  
Awan Uji Krismanto
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Firefly Algorithm ◽  
Stability Margin ◽  
Energy System ◽  
Wide Area ◽  
Stability Performance ◽  
Battery Energy ◽  
Multi Mode

This paper proposed a damping method for enhancing oscillatory stability performance of power systems with high penetration of renewable energy by a resilient wide-area multi-mode controller. The resilient wide-area multi-mode controller is used as an additional controller in a renewable energy system with a battery energy storage to enhance the damping of the critically weak modes. The weak modes are likely to be triggered in the event of line outages or any other disturbances, and the system may become unstable in the absence of proper corrective and preventive control. A firefly algorithm has been employed to design such a controller. Eigenvalue analysis and time-domain simulation are used to analyze the performance of the proposed controller in a realistic representative power system. From the simulation results, it is evident that the oscillatory stability performance of the renewable rich power system can be enhanced with the proposed control to keep the damping on critical modes to the industrial standards. Furthermore, renewable energy penetration can be increased significantly in the realistic representative system by introducing the proposed controller without disturbing the oscillatory stability margin.

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