2021 Power System and Green Energy Conference (PSGEC)

2021 ◽  
Keyword(s):  
Power System ◽  
Green Energy

scholarly journals Future Directions for Power System Interconnection from Korea’s Perspective

2021 ◽  
pp. 48-53
Author(s):  
J. Yoon ◽  
S. Song
Keyword(s):  
Power System ◽  
Energy Security ◽  
Green Energy ◽  
Energy Utilization ◽  
Stable Operation ◽  
Interconnected System ◽  
Future Directions ◽  
System Interconnection ◽  
Term Energy ◽  
Northeast Asian

The power system interconnection between Northeast Asian countries has been discussed since 2000 but has not been realized to date due to various obstacles. This paper specifies the expected future energy policy, long-term energy supply plan, and necessity of power interconnection from the Korean viewpoint, including the climate change agreement. There are very many interconnection scenarios presented by various institutes in NEA countries now. These studies contain the overall preliminary feasibility results but do not consider the environmental effects, energy security, and market reforms. Do these existing studies show how we could interconnect specific countries? This paper discusses the trading potentials for green energy utilization between countries and some obstacles to be removed to promote the energy interconnection projects from technical, economic, marketable, and energy security standpoints. Especially, energy security in terms of politics, as well as vulnerability characteristics of renewable energy, could cause the interconnected system blackouts. These could be a serious obstacle to realization and continuous stable operation of these interconnection projects. Finally, this paper will specify the future directions and possible scenarios for power system interconnection by integrating these issues comprehensively from Korea's perspective.

Design of fuzzy logic controller for load frequency control in an isolated hybrid power system

2020 ◽  
Vol 39 (6) ◽  
pp. 8273-8283
Author(s):  
N. Kirn Kumar ◽  
V. Indra Gandhi
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Pso Algorithm ◽  
Green Energy ◽  
Load Frequency Control ◽  
Control Technique ◽  
Hybrid Power System ◽  
Hybrid Power

As the world is moving towards green energy generation to reduce the pollution by renewable sources such as wind, solar, geothermal and more. These sources are intermittent in nature, to coordinate and control with traditional power generating units a control technique is necessary. This paper mainly focuses on the design of fuzzy based classical controller using a PSO algorithm for optimal controller gains to control the frequency variations in island hybrid power system. The considered mathematical model comprises of a diesel generating model, wind turbine generator and a battery storage system. Fuzzy is an intelligent controller which is designed with trial and error rules or on the basis of past experience provided by experts or by optimization methods for optimized gains using computational algorithms. To give best solution for these kinds of problems with FLCs traditional controllers are integrated with fuzzy logic. The PSO algorithm is applied to tune the classical controller gains to decrease the frequency deviation of the island power system, during the different load and wind disturbances. The Fuzzy PID classical controller shows the best performance compared with the only fuzzy and Fuzzy-PI controller configurations by illustrating the under shoot, overshoot and settling time and the proposed method is robust for various loading conditions and different wind changes.

Stand-Alone Power System for Monitoring and Control of the Temperature

2013 ◽  
Vol 291-294 ◽  
pp. 2570-2573
Author(s):  
Florin Dragomir ◽  
Otilia Elena Dragomir ◽  
Adrian Oprea
Keyword(s):  
Power System ◽  
Power Supply ◽  
Temperature Regulation ◽  
Green Energy ◽  
Financial Impact ◽  
Monitoring And Control ◽  
Honey Production ◽  
Increase Productivity ◽  
Alternative Sources ◽  
And Control

The main objective of the article is to stimulate interest of the consumers for the green energy considering the environmental and the financial impact (in this case by increasing productivity) of this one. For these arguments, this article proposes a real application, with autonomy in the power supply, for control the temperature in the hive using energy from alternative sources (through a solar panel). The temperature regulation is controlled by a microcontroller. For setting the temperature of the hive some bees are used at the expense of honey production. If there would be no need to adjust the temperature of the hive bees when the hive would increase productivity (worker bees population and honey production).

scholarly journals Overview of the Load-source Duality Modeling for Demand Side

2021 ◽  
Vol 2095 (1) ◽  
pp. 012007
Author(s):  
Xueying Wang ◽  
Yawei Xue ◽  
Dong Peng ◽  
Lang Zhao ◽  
Hongyang Liu ◽  
...  
Keyword(s):  
Power System ◽  
Demand Response ◽  
Control Method ◽  
Development Trend ◽  
Green Energy ◽  
Load Response ◽  
Safety And Reliability ◽  
The Difference ◽  
Response Modeling ◽  
And Control

Abstract With the increase of load and clean-green energy connect to the power system, big challenges are brought to the traditional control method of generation-follows-load (GFL). Therefore, it is important to study the load-follows-generation (LFG) models which can achieve active demand response by changing the load temporarily to reduce the difference between maximum and minimum load. This paper introduces the concept of LFG and GFL models, summarizes the difference between them and puts forward the concept of load-source duality at first. Then, introduces load response modeling, optimization objectives, constraints, scheduling methods and control methods of six LFG models based on the recent research results in this area. Each model can alleviate the pressure in maintaining stability on the generation side, improving the safety and reliability of the power system. Finally, this paper puts forward the future development trend of LFG models based on the overviews.

Coordination and Optimization of Energy Using the Multiple Linear Regression Analysis in a Green Power System

2011 ◽  
Vol 201-203 ◽  
pp. 539-542 ◽  
Author(s):  
Xiao Na Niu ◽  
Ying Sun ◽  
Chuan Hui Zhao ◽  
Shen Hang Yu
Keyword(s):  
Power System ◽  
Linear Regression Analysis ◽  
Tidal Energy ◽  
Multiple Linear Regression Analysis ◽  
Social Benefit ◽  
Resource Scarcity ◽  
Green Energy ◽  
Biomass Energy ◽  
Assessment Model ◽  
Green Power

The State Grid has proposed to construct a strong smart grid to solve the resource scarcity, environmental pollution and other social problems, which will certainly drive the development of green energy, such as wind energy, solar energy, tidal energy and biomass energy. The study will build a Green Power System Assessment Model (GPSAM) using multivariate statistical analysis to optimize the energy resources of a region and finally to provide reference for the construction of a new plant or the plant expansion to get the balance of environment benefit, economic benefit and social benefit.

An AHP Application for Solar Power Systems Selection

2011 ◽  
Vol 314-316 ◽  
pp. 2112-2115
Author(s):  
Che Wei Chang ◽  
Hao En Chueh ◽  
Hsin Lin
Keyword(s):  
Global Warming ◽  
Power Systems ◽  
Power System ◽  
Analytical Hierarchy Process ◽  
Solar Power ◽  
Green Energy ◽  
Ahp Model ◽  
Hierarchy Process

Last few years, global warming is a growing problem, and green-energy becoming popular, thus the solar power system more important. In this paper, we use the Analytical Hierarchy Process (AHP) model to help company choose suitable solar power systems.

scholarly journals Faults Signature Extraction in Wind Farm Integrated Transmission Line Topology

2018 ◽  
Vol 12 (1) ◽  
pp. 246
Author(s):  
Osaji Emmanuel ◽  
Mohammad Lutfi Othman ◽  
Hashim Hizam ◽  
Muhammad M. Othman ◽  
Elhad Akar E. ◽  
...  
Keyword(s):  
Power System ◽  
Transmission Line ◽  
Wind Farm ◽  
Climate Impact ◽  
Green Energy ◽  
Classification Model ◽  
Pv Systems ◽  
Generation Cost ◽  
Wavelet Multiresolution Analysis ◽  
Future Work

<p>The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protection compromise challenges in power system due to in-feeds fault current penetration from RGES on existing system, leading to an undesired trip of the healthy section of TL, equipment damages, and safety failure. A comparison study of extracted faults signature from two proposed Transmission Line (TL) network topologies with and without WFG integration, for onward fault identification, and classification model design. Descrete wavelet multiresolution Analysis (DWMRA) of extracted one-cycle fault signal signatures from 11 faults type’s scenarios in Matlab. Result demonstrated a unique fault signatures across all simulated faults scenarios harness for future work of an adaptive unit protection model for this new area of DG integration.</p>

scholarly journals Visions, Scenarios and Action Plans Towards Next Generation Tanzania Power System

Energies ◽  
2012 ◽  
Vol 5 (10) ◽  
pp. 3908-3927 ◽  
Author(s):  
Santos Kihwele ◽  
Kyeon Hur ◽  
Alex Kyaruzi
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Grid ◽  
Green Energy ◽  
Action Plans ◽  
Next Generation ◽  
Smart Power ◽  
The Future ◽  
Aging Infrastructure ◽  
High Tariff

This paper presents strategic visions, scenarios and action plans for enhancing Tanzania Power Systems towards next generation Smart Power Grid. It first introduces the present Tanzanian power grid and the challenges ahead in terms of generation capacity, financial aspect, technical and non-technical losses, revenue loss, high tariff, aging infrastructure, environmental impact and the interconnection with the neighboring countries. Then, the current initiatives undertaken by the Tanzania government in response to the present challenges and the expected roles of smart grid in overcoming these challenges in the future with respect to the scenarios presented are discussed. The developed scenarios along with visions and recommended action plans towards the future Tanzanian power system can be exploited at all governmental levels to achieve public policy goals and help develop business opportunities by motivating domestic and international investments in modernizing the nation’s electric power infrastructure. In return, it should help build the green energy economy.

scholarly journals Renewable Energy Sources and Battery Forecasting Effects in Smart Power System Performance

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 373 ◽  
Author(s):  
Mehdi Bagheri ◽  
Venera Nurmanova ◽  
Oveis Abedinia ◽  
Mohammad Salay Naderi ◽  
Noradin Ghadimi ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Renewable Energy Sources ◽  
Forecast Model ◽  
Green Energy ◽  
Energy Sources ◽  
Smart Power ◽  
Power Generators ◽  
Wind Power Generator ◽  
Power System Performance

In this study, the influence of using acid batteries as part of green energy sources, such as wind and solar electric power generators, is investigated. First, the power system is simulated in the presence of a lead–acid battery, with an independent solar system and wind power generator. In the next step, in order to estimate the output power of the solar and wind resources, a novel forecast model is proposed. Then, the forecasting task is carried out considering the conditions related to the state of charge (SOC) of the batteries. The optimization algorithm used in this model is honey bee mating optimization (HBMO), which operates based on selecting the best candidates and optimization of the prediction problem. Using this algorithm, the SOC of the batteries will be in an appropriate range, and the number of on-or-off switching’s of the wind turbines and photovoltaic (PV) modules will be reduced. In the proposed method, the appropriate capacity for the SOC of the batteries is chosen, and the number of battery on/off switches connected to the renewable energy sources is reduced. Finally, in order to validate the proposed method, the results are compared with several other methods.

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