Unit Commitment Incorporating Wind Generators Considering Emission Reduction

2011 ◽  
Vol 347-353 ◽  
pp. 3973-3977
Author(s):  
Xiao Hua Zhang ◽  
Jin Quan Zhao ◽  
Xing Ying Chen
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Power Systems ◽  
Emission Reduction ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Primary Energy ◽  
Energy Sources ◽  
Primary Energy Consumption ◽  
Wind Generators

The rise of environmental protection and the progressive exhaustion of traditional fossil energy sources have increased the interest in integrating renewable energy sources into existing power systems. The energy saving and emission reduction is of most importance. Wind energy could be one of the most promising renewable energy sources. However, the intermittency and unpredictability of wind power generation creates difficulty in control of frequency and generation scheduling. Many problems will arise in the renewable energy based hybrid power system. In this paper, a fuzzy unit commitment model including wind generators is presented. Primary energy consumption, gas emission and the risk of wind are synthetically considered. Through defining membership function, the deterministic problem is transformed into the fuzzy problem. Then it is reformulated into the nonlinear problem by means of the maximum-minimum fuzzy satisfaction. Improved Genetic Algorithms (IGA) is used to solve the fuzzy optimization problem. The simulation results of a 10-unit system demonstrate that the proposed method is feasible. It can compromise between the primary energy consumption and the risk according to the decision-maker’s will. It provides valuable information in both operational and planning problems in the future.

Power System for Beautiful China

2021 ◽  
Vol 144 ◽  
pp. 14-21
Author(s):  
Vladimir P. Polevanov ◽  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Natural Gas ◽  
Power System ◽  
Renewable Energy Sources ◽  
Primary Energy ◽  
Energy Resources ◽  
Energy Sources ◽  
Primary Energy Consumption ◽  
Leading Position

The growth in primary energy consumption in 2019 by 1.3% was provided by renewable energy sources and natural gas, which together provided 75% of the increase. China in the period 2010–2020 held a leading position in the growth of demand for energy resources, but according to forecasts, India will join it in the current decade.

scholarly journals Hydrogen energy system for renewable energy consumption

2021 ◽  
Vol 233 ◽  
pp. 01083
Author(s):  
SONG Jie ◽  
ZHU Yuting ◽  
LIANG Danxi ◽  
CHENG Qing ◽  
YAO Dawei ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Power Systems ◽  
Energy System ◽  
Electric Power Systems ◽  
Primary Energy ◽  
Hydrogen Energy ◽  
Primary Energy Consumption ◽  
Renewable Energy Consumption ◽  
Key Technologies

As a kind of high-quality secondary energy, hydrogen has great potential of application in energy storage and utilization and contributes to consumption of renewable energy in electric power systems. To further increase the proportion of renewable energy in primary energy consumption, this article introduces a hydrogen energy system for renewable energy consumption. In this article, significance and necessity of developing hydrogen energy system are elaborated, the overall structure of hydrogen energy system is presented, key technologies involved with hydrogen system are listed, economical efficiency of hydrogen energy system is analyzed, and development of hydrogen energy system in the future is forecasted.

scholarly journals Methodology of optimum unit commitment of energy systems with renewable energy sources

Vestnik IGEU ◽  
2020 ◽  
pp. 25-38
Author(s):  
S.G. Obukhov ◽  
G.N. Klimova ◽  
A. Ibrahim
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Electric Power ◽  
Optimization Problem ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Electric Power Systems ◽  
Electric Power System ◽  
Energy Sources ◽  
Particle Swarm Algorithm

One of the promising ways to improve the reliability and efficiency of power supply for customers in the areas remote from central electrical grid is the use of hybrid power systems with renewable energy sources. The primary task of designing such systems is the unit commitment of the generating equipment that provides the optimal technical and economic indexes of the electric power system. The stochastic nature of generation and nonlinearity of the characteristics of power plants cause a high complexity of solving this problem, which, from a mathematical point of view, is formulated as an optimization problem. An accurate and reliable solution of this optimization problem increases the efficiency of design and operation of hybrid electric power systems with renewable energy sources. And it is a vital task of modern power industry. A probabilistic-statistical methods and models for the analysis of experimental data are used to construct climatic time series and graphs of electrical loads. In addition, to study the operating modes of the electric power system the MatLab system is used for the simulation and modeling, and an evolutionary particle swarm algorithm is used to solve the optimization problem. The original model of solar radiation is used as a part of this methodology. This model provides forecasting the key characteristics of solar radiation in any geographical point of Russia including the areas that have no results of routine actinometric observation. Weibull distribution function is used to forecast daily variations of wind speed. It enhances the validity of forecasting of electricity generation of wind-driven power plant at daily time interval. As a result of the research, a method of optimum unit commitment has been developed for the equipment of electric power systems based on renewable energy sources. The use of the particle swarm algorithm as a part of the methodology provides reliable and accurate determination of the extremum of the objective function, which increases the efficiency of design and operation of hybrid electric power systems with renewable energy sources. The method has been tested on practical examples of optimum unit commitment for the equipment of electric power systems of various configurations and has proven its effectiveness. The technique is implemented as a software application, which ensures the convenience of its practical application. The obtained results can be used by companies involved in the design and operation of electric power systems using renewable energy generating units.

scholarly journals Empirical Research on the Relationship amongst Renewable Energy Consumption, Economic Growth and Foreign Direct Investment in Kazakhstan and Uzbekistan

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 332
Author(s):  
Janusz Grabara ◽  
Arsen Tleppayev ◽  
Malika Dabylova ◽  
Leonardus W. W. Mihardjo ◽  
Zdzisława Dacko-Pikiewicz
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Direct Investment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Renewable Energy Consumption ◽  
Integration Test ◽  
The Relationship

In this contemporary era, environmental problems spread at different levels in all countries of the world. Economic growth does not just depend on prioritizing the environment or improving the environmental situation. If the foreign direct investment is directed to the polluting industries, they will increase pollution and damage the environment. The purpose of the study is to consider the relationship between foreign direct investment in Kazakhstan and Uzbekistan and economic growth and renewable energy consumption. The study is based on data obtained from 1992 to 2018. The results show that there is a two-way link between foreign direct investment and renewable energy consumption in the considered two countries. The Granger causality test approach is applied to explore the causal relationship between the variables. The Johansen co-integration test approach is also employed to test for a relationship. The empirical results verify the existence of co-integration between the series. The main factors influencing renewable energy are economic growth and electricity consumption. To reduce dependence on fuel-based energy sources, Kazakhstan and Uzbekistan need to attract energy to renewable energy sources and implement energy efficiency based on rapid progress. This is because renewable energy sources play the role of an engine that stimulates the production process in the economy for all countries.

scholarly journals Changes in Energy Consumption in Agriculture in the EU Countries

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1570
Author(s):  
Tomasz Rokicki ◽  
Aleksandra Perkowska ◽  
Bogdan Klepacki ◽  
Piotr Bórawski ◽  
Aneta Bełdycka-Bórawska ◽  
...  
Keyword(s):  
European Union ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Correlation Coefficient ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
The European Union ◽  
Eu Countries ◽  
Research Hypothesis ◽  
The Eu

The paper’s main purpose was to identify and present the current situation and changes in energy consumption in agriculture in the European Union (EU) countries. The specific objectives were the determination of the degree of concentration of energy consumption in agriculture in the EU countries, showing the directions of their changes, types of energy used, and changes in this respect, establishing the correlation between energy consumption and changes in the economic and agricultural situation in the EU countries. All member states of the European Union were deliberately selected for research on 31 December 2018 (28 countries). The research period covered the years 2005–2018. The sources of materials were the literature on the subject, and data from Eurostat. Descriptive, tabular, and graphical methods were used to analyze and present materials, dynamics indicators with a stable base, Gini concentration coefficient, concentration analysis using the Lorenz curve, coefficient of variation, Kendall’s tau correlation coefficient, and Spearman’s rank correlation coefficient. A high concentration of energy consumption in agriculture was found in several EU countries, the largest in countries with the largest agricultural sector, i.e., France and Poland. There were practically no changes in the concentration level. Only in the case of renewable energy, a gradual decrease in concentration was visible. More and more countries developed technologies that allow the use of this type of energy. However, the EU countries differed in terms of the structure of the energy sources used. The majority of the basis was liquid fuels, while stable and gaseous fuels were abandoned in favor of electricity and renewable sources—according to which, in the EU countries, the research hypothesis was confirmed: a gradual diversification of energy sources used in agriculture, with a systematic increase in the importance of renewable energy sources. The second research hypothesis was also confirmed, according to which the increase in the consumption of renewable energy in agriculture is closely related to the economy’s parameters. The use of renewable energy is necessary and results from concern for the natural environment. Therefore, economic factors may have a smaller impact.

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