Performance Comparison of GA and PSO on Wind and Thermal Generation Dispatch

2014 ◽  
Vol 984-985 ◽  
pp. 759-763
Author(s):  
K. Dhayalini ◽  
S. Sathiyamoorthy ◽  
Christober Asir C. Rajan
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Pso Algorithm ◽  
Test System ◽  
Performance Comparison ◽  
Thermal Generation ◽  
Optimal Dispatch ◽  
Generation Dispatch

Due to the enormous increase in the power system load the conventional power generation plants never satisfy the power demand. So the power generating sectors turn into renewable energy sources. Wind power is a promising renewable energy source. It is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper GA and PSO algorithm are used to perform ED considering wind power generation and valve effect of thermal unit. The proposed method is validated with three and six unit test system. The results show the performance comparison of the two methods for solving the wind thermal dispatch problem.

Hybrid Evolutionary Particle Swarm Optimization for the Coordination of Wind and Thermal Generation Dispatch

2014 ◽  
Vol 573 ◽  
pp. 684-689
Author(s):  
K. Dhayalini ◽  
S. Sathiyamoorthy ◽  
Asir Rajan C. Christober
Keyword(s):  
Power Generation ◽  
Particle Swarm Optimization ◽  
Wind Power ◽  
Particle Swarm ◽  
Wind Power Generation ◽  
Total Production ◽  
Thermal Generation ◽  
Swarm Optimization ◽  
Optimal Dispatch ◽  
Generation Dispatch

Development of better wind and thermal coordination dispatch is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper hybrid Evolutionary Programming (EP) and Particle Swarm Optimization (PSO) approach is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost considering wind power generation and valve effect of thermal units. Numerical studies have been performed for three different test systems, i.e., six, thirteen and forty generating unit systems. The simulation results demonstrate the effectiveness of the proposed approach and shows the effect of wind power generation in reducing the total fuel.

scholarly journals An Appropriate Wind Model for The Reliability Assessment of Incorporated Wind Power in Power Generation System

2021 ◽  
Vol 264 ◽  
pp. 04083
Author(s):  
Abror Kurbanov ◽  
Mansur Khasanov ◽  
Anvar Suyarov ◽  
Urinboy Jalilov ◽  
Bakhodir Narimonov ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Reliability Assessment ◽  
Test System ◽  
Power Grids ◽  
Assessment Model ◽  
Positive Contribution ◽  
Fuel Prices

The use of renewable energy sources (RES) by many power grids companies around the world has increased significantly in recent years. The trend towards the use of RES is mainly due to ecological problems and rising fuel prices related to conventional power generation. Wind power is an approved source for power generation among renewable sources that makes a positive contribution to the global, social and economic environment. Today, wind turbine generator (WTG) is a mature, abundant, and eco-friendly power generation technology, and much of the electricity demand is supplied by wind. However, the uncertain nature of wind speed poses a variety of challenges for the planning and operation of power systems. One of the problems in increasing wind power can be seen in terms of assessment of power system reliability. This paper presents a reliability assessment model of power generation systems (PGS), including WTG, by using an analytical method. The presented model in this paper applied to the Roy Billinton Test System (RBTS). The methodology and results presented in this paper are intended to provide useful information to planners or developers seeking to assess the reliability of PGSs, including WTG.

Analysis about the Feasibility of Power Generation through Renewable Energy on Coral Reefs

2012 ◽  
Vol 512-515 ◽  
pp. 2625-2628
Author(s):  
Jie Liu ◽  
Hai Bo Jiang ◽  
Hang Guo
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Coral Reefs ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Ocean Current ◽  
Energy Sources ◽  
Development And Utilization ◽  
The Cost ◽  
Current Energy

This paper analyzed the feasibility of development and utilization of four kinds of renewable energy sources which are wind energy, wave energy and ocean current energy, solar energy and gave some specific recommendations about the use of wind power. The richness of four kinds of energy sources and some problems about the cost, reliability, installation, utilization and maintenance were systematically investigated. Studies have shown that on the coral reefs solar power generation has the more feasibility than wind power generation, and wave power generation and marine power generation have no feasibility within future ten years.

scholarly journals Voltage Profile and Sensitivity Analysis for a Grid Connected Solar, Wind and Small Hydro Hybrid System

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3555
Author(s):  
Noah Serem ◽  
Lawrence K. Letting ◽  
Josiah Munda
Keyword(s):  
Sensitivity Analysis ◽  
Renewable Energy ◽  
Wind Power ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Test System ◽  
Solar Pv ◽  
Voltage Profile ◽  
Hydro Power ◽  
Power Injection

Due to increase in integration of renewable energy into the grid and power quality issues arising from it, there is need for analysis and power improvement of such networks. This paper presents voltage profile, Q-V sensitivity analysis and Q-V curves analysis for a grid that is highly penetrated by renewable energy sources; solar PV, wind power and small hydro systems. Analysis is done on IEEE 39 bus test system with Wind power injection alone, PV power injection alone, with PV and wind power injection and with PV, wind and micro hydro power injection to the grid. The analysis is used to determine the buses where voltage stability improvement is needed. From the results, it was concluded that injection of the modeled wind power alone helped in stabilizing the voltage levels as determined from voltage profiles and reactive power margins. Replacing some of the conventional sources with PV power led to reduction of voltages for weak buses below the required standards. Injection of power from more than one renewable energy source helped in slightly improving the voltage levels. Distribution Static compensators (D-STATCOMs) were used to improve the voltage levels of the buses that were below the required standards.

Ant Colony Algorithm for the Coordination of Wind and Thermal Generation Dispatch

2013 ◽  
Vol 773 ◽  
pp. 132-138
Author(s):  
K. Dhayalini ◽  
S. Sathiyamoorthy ◽  
Asir Rajan C. Christober
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Ant Colony Algorithm ◽  
Economic Dispatch ◽  
Wind Power Generation ◽  
Ant Colony ◽  
Total Production ◽  
Thermal Generation ◽  
Generator System ◽  
Generation Dispatch

This paper presents the coordination of wind and thermal generation dispatch using Ant Colony Approach. Wind power is unpredictable and intermittent. As wind power penetrations increase in current power systems, its impact to conventional thermal unit should be investigated. The objective of this paper is the development of better wind thermal coordination economic dispatch which is necessary to determine the optimal dispatch scheme that can integrate wind power reliably and efficiently. In this paper Ant Colony Algorithm (ACA) is utilized to coordinate the wind and thermal generation dispatch and to minimize the total production cost in the economic dispatch considering wind power generation and valve effect of thermal units. A ten generator system with one wind power plant is tested to validate the effectiveness of the proposed model and method. Different simulations with and without wind power production are simulated. Simulation result shows the effect of wind power generation in reducing total fuel cost.

scholarly journals Comprehensive Analysis of Planning Operation and Protection of Microgrid Systems

2020 ◽  
pp. 40-58
Author(s):  
Raheel Muzzammel
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Renewable Energy Sources ◽  
Power Source ◽  
Test System ◽  
Comprehensive Analysis ◽  
Energy Sources ◽  
Optimal Power

Microgrid is a decentralized system in which electrical sources and loads are connected in a way that operates normally in connection with and in synchronous with conventional grid. This system has the ability to work autonomously by disconnecting from conventional grid in island mode. Microgrid offers large number of advantages in power system. Among them, integration of renewable energy sources, reliability, two-way power flow and cost effectiveness are the significant merits of microgrids. Besides its advantages, different challenges are associated with the planning, operation and protection of microgrid systems. Safe two-way power flow, reliable switching of renewable energy, optimal power flow, quick isolation of faulty part from healthy system and incorporation of energy mix modeling are the major challenges behind its real time implementation. In this research, comprehensive analysis is carried out on the planning, operation and protection of microgrid model. A test system is developed in Matlab/ Simulink in which solar power source, wind power source and diesel power source are modelled and connected to residential, commercial and industrial loads. Optimal power flow is achieved through Newton’s method. In addition to this, operation of microgrid test system is ensured by the observation of voltage, current and power under steady state and transient conditions of wind based power generation, DC and AC parameters for solar power generation and generation and demand of power in the case of diesel based power generation within acceptable limits. Circuit breakers are installed to ensure protection against faults. Priority is made on the basis of promotion of renewable energy sources. Moreover, realization of microgrid is depicted with its hardware prototype.

Power Electronics for Grid Integration of Wind Power Generation System

2016 ◽  
Vol 9 ◽  
pp. 10 ◽  
Author(s):  
Michael S Okundamiya
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Power Electronics ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Wind Power Generation ◽  
Generation System ◽  
Electricity Grid ◽  
Power Generation System ◽  
Promising Source

The rising demands for a sustainable energy system have stimulated global interests in renewable energy sources. Wind is the fastest growing and promising source of renewable power generation globally. The inclusion of wind power into the electric grid can severely impact the monetary cost, stability and quality of the grid network due to the erratic nature of wind. Power electronics technology can enable optimum performance of the wind power generation system, transferring suitable and applicable energy to the electricity grid. Power electronics can be used for smooth transfer of wind energy to electricity grid but the technology for wind turbines is influenced by the type of generator employed, the energy demand and the grid requirements. This paper investigates the constraints and standards of wind energy conversion technology and the enabling power electronic technology for integration to electricity grid.

scholarly journals Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems

2021 ◽  
Vol 13 (12) ◽  
pp. 6681
Author(s):  
Simian Pang ◽  
Zixuan Zheng ◽  
Fan Luo ◽  
Xianyong Xiao ◽  
Lanlan Xu
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Solar Power ◽  
Prediction Method ◽  
Random Fluctuation ◽  
Concentrating Solar Power ◽  
Short Term ◽  
Hybrid Forecasting ◽  
Energy Cluster

Forecasting of large-scale renewable energy clusters composed of wind power generation, photovoltaic and concentrating solar power (CSP) generation encounters complex uncertainties due to spatial scale dispersion and time scale random fluctuation. In response to this, a short-term forecasting method is proposed to improve the hybrid forecasting accuracy of multiple generation types in the same region. It is formed through training the long short-term memory (LSTM) network using spatial panel data. Historical power data and meteorological data for CSP plant, wind farm and photovoltaic (PV) plant are included in the dataset. Based on the data set, the correlation between these three types of power generation is proved by Pearson coefficient, and the feasibility of improving the forecasting ability through the hybrid renewable energy clusters is analyzed. Moreover, cases study indicates that the uncertainty of renewable energy cluster power tends to weaken due to partial controllability of CSP generation. Compared with the traditional prediction method, the hybrid prediction method has better prediction accuracy in the real case of renewable energy cluster in Northwest China.

scholarly journals Agricultural Residue Management for Sustainable Power Generation: The Poland Case Study

2021 ◽  
Vol 11 (13) ◽  
pp. 5907
Author(s):  
Valerii Havrysh ◽  
Antonina Kalinichenko ◽  
Anna Brzozowska ◽  
Jan Stebila
Keyword(s):  
Power Generation ◽  
Spatial Distribution ◽  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Agricultural Waste ◽  
Energy Utilization ◽  
Evaluation Methodology ◽  
Energy Sources ◽  
Energy Potential ◽  
Agricultural Residue

The European Union has set targets for renewable energy utilization. Poland is a member of the EU, and its authorities support an increase in renewable energy use. The background of this study is based on the role of renewable energy sources in improving energy security and mitigation of climate change. Agricultural waste is of a significant role in bioenergy. However, there is a lack of integrated methodology for the measurement of its potential. The possibility of developing an integrated evaluation methodology for renewable energy potential and its spatial distribution was assumed as the hypothesis. The novelty of this study is the integration of two renewable energy sources: crop residues and animal husbandry waste (for biogas). To determine agricultural waste energy potential, we took into account straw requirements for stock-raising and soil conservation. The total energy potential of agricultural waste was estimated at 279.94 PJ. It can cover up to 15% of national power generation. The spatial distribution of the agricultural residue energy potential was examined. This information can be used to predict appropriate locations for biomass-based power generation facilities. The potential reduction in carbon dioxide emissions ranges from 25.7 to 33.5 Mt per year.

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