• Title/Summary/Keyword: Sources of Electricity

Search Result 270, Processing Time 0.029 seconds

Stochastic Gradient Descent Optimization Model for Demand Response in a Connected Microgrid

  • Sivanantham, Geetha;Gopalakrishnan, Srivatsun
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.16 no.1
    • /
    • pp.97-115
    • /
    • 2022
  • Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

Assessment of electricity demand at domestic level in Balochistan, Pakistan

  • Urooj, Rabail;Ahmad, Sheikh Saeed
    • Advances in Energy Research
    • /
    • v.5 no.1
    • /
    • pp.57-64
    • /
    • 2017
  • Electricity is basic need for country development. But at the present time proper planning and policy is require at high pace for power generation network extension due to the increasing population growth rate. Present study aimed to analyze the present and future demand for electricity at household level in Province of Balochistan of Pakistan via simulation modeling. Data of year 2004-2005 was used as baseline data for electricity consumption to predict future demand of electricity at both rural and urban domestic level up to subsequent 30 years, with help of LEAP software. Basically three scenarios were created to run software. One scenario was Business-As-Usual and other two were green scenarios i.e., solar and wind energy scenarios. Results predicted that by using alternative energy sources, demand for electricity will be fulfill and will also reduce burden on non-renewable energy sources due to the greater potential for solar and wind energy present in Balochistan.

Elasticity of substitution of renewable energy for nuclear power: Evidence from the Korean electricity industry

  • Kim, Kwangil
    • Nuclear Engineering and Technology
    • /
    • v.51 no.6
    • /
    • pp.1689-1695
    • /
    • 2019
  • This study suggests a simple economic model to analyze electricity grid that consists of different power sources. The substitutability of renewable energy for nuclear power in Korean electricity transmission network is investigated by suggested model. The monthly data from January 2006 to December 2013 reported by Electricity Power Statistics Information System (EPSIS) of Korea Power EXchange (KPX) are used. To estimate the elasticities of substitution among four power sources (i.e. coal, natural gas, nuclear power, and renewable energy), this paper uses the trans-log cost function model on which local concavity restrictions are imposed. The estimated Hicks-Allen and Morishima elasticity of substitution shows that renewable electricity and nuclear power are complementary. The results also evidenced that renewable electricity and fossil fueled thermal power generation are substitutes.

Load Control between PV Power Plants and Diesel Generators

  • Mohamed Khalil Abdalla MohamedAli;AISHA HASSAN ABDALLA HASHIM;OTHMAN KHALIFA
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.6
    • /
    • pp.33-40
    • /
    • 2024
  • Introducing renewable energy sources, such as wind and photovoltaic arrays, in microgrids that supply remote regions with electricity represents a significant leap in electricity generation. Combining photovoltaic panels and diesel engines is one of the most common ways to supply electricity to rural communities. Such hybrid systems can reduce the cost of electricity generation in these remote power systems because they use free energy to balance the power generated by diesel engines. However, the combination of renewable energy sources and diesel engines tends to complicate the sizing and control of the entire system due to the intermittent nature of renewable energy sources. This study sought to investigate this issue in depth. It proposes a robust hybrid controller that can be used to facilitate optimum power sharing between a PV power source and diesel generators based on the dynamics of the available PV energy at any given time. The study also describes a hybrid PV-diesel power plant's essential functional parts that produce electricity for a microgrid using a renewable energy source. Power control needs to be adjusted to reduce the cost of power generation.

Potential of the Green Power Consumption in Korea (우리나라 녹색전력의 소비잠재력 연구)

  • Lee, Chang-Hoon;Hwang, Seok-Joon
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 2006.06a
    • /
    • pp.343-346
    • /
    • 2006
  • Although renewable energy sources are more environmentally friendly than fossil energy sources, it is far more costly, considering current technological standards. It would not present many competitive advantages in the power market. If the renewable electricity is viable in the market, the government should take 'visible' actions to compensate production costs. Popular policies, such as Feed-In-Tariff and Renewable Portfolio Standards, can help to attract investors into generators of renewable electricity. But presently, they are mainly financed through a undifferentiated increase of electricity bills and occasionally confronted with the opposition of the electricity consumers. And most policies tend to focus on increasing the supply of renewable electricity with little consideration toward elevating the motivation of consumers. This study evaluates the potential of environmentally friendly energy consumption and examines the 'green pricing' program which realize the potential.

  • PDF

Portfolio Analysis on the New Power Generation Sources of the Sixth Basic Plan for Long Term Electricity Demand and Supply (포트폴리오 이론을 활용한 제6차 전력수급기본계획의 신규전원구성 비교 연구)

  • Kim, Juhan;Kim, Jinsoo
    • Environmental and Resource Economics Review
    • /
    • v.23 no.4
    • /
    • pp.583-615
    • /
    • 2014
  • Including the rolling black out in 2011, Korea has suffered from rapid increase of electricity consumption and demand forecasting failure for last five years. In addition, because of the Fukushima disaster, high fuel prices, and introduction of new generation sources such as renewables, the uncertainty on a power supply strategy increases. Consequently, a stable power supply becomes the new agenda and a revisino of strategy for new power generation sources is needed. In the light of this, we appraises the sixth basic plan for long term electricity demand and supply considering the changes of foreign and domestic conditions. We also simulate a strategy for the new power generation sources using a portfolio analysis method. As results, a diversity of power generation sources will increase and the share of renewable power generation will be surged on the assumptions of a cost reduction of renewable power sources and an increase of fuel costs. Particularly, on the range of a risk level(standard deviation) from 0.06 and 0.09, the efficient frontier has the most various power sources. Besides, the existing power plan is not efficient so that an improvement is needed. Lastly, the development of an electricity storage system and energy management system is necessary to make a stable and efficient power supply condition.

Analysis on the Replacement Cost of Nuclear Energy Using a Stochastic Programming Model (확률계획법을 활용한 원자력 대체비용의 분석)

  • Chung, Jaewoo;Min, Daiki
    • Korean Management Science Review
    • /
    • v.30 no.1
    • /
    • pp.139-148
    • /
    • 2013
  • A nuclear energy has been one of the most important sources to securely supply electricity in South Korea. Its weight in the national electricity supply has kept increasing since the first nuclear reactor was built in 1978. The country relies on the nuclear approximately 31.4% in 2012 and it is expected to increase to 48.5% in 2024 based on the long-term electricity supply plan announced by the Korean government. However, Fukushima disaster due to 9.0 magnitude earthquake followed by the tsunami has raised deep concerns on the security of the nuclear power plants. The policy makers of the country are much interested in analyzing the cost structure of the power supply in the case that the nuclear is diminished from the current supply portion. This research uses a stochastic model that aims to evaluate the long-term power supply plan and provides an extensive cost analysis on the changes of the nuclear power supply. To evaluate a power supply plan, the research develops a few plausible energy mix scenarios by changing the installed capacities of energy sources from the long-term electricity supply plan. The analyses show that the nuclear is still the most attractive energy source since its fuel cost is very much stable compared to the other sources. Also the results demonstrate that a large amount of financial expenditure is additionally required every year if Koreans agree on the reduction of nuclear to increase national security against a nuclear disaster.

Reappraisal of Feed-In Tariffs of Electricity Generating from New and Renewable Energy Sources (신.재생에너지원 발전전력 차액지원을 위한 현행 기준가격의 재산정)

  • Kim, Eun-Il;Kim, Keon-Hoon
    • 한국태양에너지학회:학술대회논문집
    • /
    • 2008.04a
    • /
    • pp.281-286
    • /
    • 2008
  • Current feed-in tariffs(FIT) of Electricity generating from new and renewable energy sources are reappraised with the corrected formula of levelized generation cost(LGC) of utility power. The LGC of new and renewable electricity should be formulated in explicitly reflecting the capital cost and corporate tax during the economic life cycle based on its realistic application data. An applicable term of the FITs should, especially, be equal to the economic life cycle. The revised FITs issued in 2006 were, however, derived from the incorrect formula described in the study of KERI(Korea Electrotechnology Research Institute), and consequently misestimated. The reappraisal values for FIT of new and renewable electricity were shown and interpreted in this paper. An FIT of PV more than 30 kW, for example, should be 972.86 won/kWh instead of current 677.38 won/kWh increasing 43.6%. An upward revision of other FITs for new and renewable electricities should also be required in the range of 8.6% to 47.3%.

  • PDF

A Study on the Participation of Virtual Power Plant Based Technology Utilizing Distributed Generation Resources in Electricity Market (분산발전자원을 활용한 가상발전소 기반 기술의 전력시장 참여 방안에 대한 연구)

  • Lee, Yun-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers P
    • /
    • v.65 no.2
    • /
    • pp.94-100
    • /
    • 2016
  • A virtual power plant (VPP) technology is a cluster of distributed generation installations. VPP system is that integrates several types of distributed generation sources, so as to give a reliable overall power supply. Virtual power plant systems play a key role in the smart grids concept and the move towards alternative sources of energy. They ensure improved integration of the renewable energy generation into the grids and the electricity market. VPPs not only deal with the supply side, but also help manage demand and ensure reliability of grid functions through demand response (DR) and other load shifting approaches in real time. In this paper, utilizing a variety of distributed generation resources(such as emergency generator, commercial generator, energy storage device), activation scheme of the virtual power plant technology. In addition, through the analysis of the domestic electricity market, it describes a scheme that can be a virtual power plant to participate in electricity market. It attempts to derive the policy support recommendation in order to obtain the basics to the prepared in position of power generation companies for the commercialization of virtual power plant.

Examination of excess electricity generation patterns in South Korea under the renewable initiative for 2030

  • Kim, Philseo;Cho, So-Bin;Yim, Man-Sung
    • Nuclear Engineering and Technology
    • /
    • v.54 no.8
    • /
    • pp.2883-2897
    • /
    • 2022
  • According to the Renewable Energy 3020 Implementation Plan announced in 2017 by the South Korean government, the electricity share of renewable energy will be expanded to 20% of the total electricity generation by 2030. Given the intermittency of electricity generation from renewable energy, realization of such a plan presents challenges to managing South Korea's isolated national electric grid and implies potentially large excess electricity generation in certain situations. The purpose of this study is: 1) to develop a model to accurately simulate the effects of excess electricity generation from renewables which would arise during the transition, and 2) to propose strategies to manage excess electricity generation through effective utilization of domestic electricity generating capabilities. Our results show that in periods of greater PV and wind power, namely the spring and fall seasons, the frequency of excess electricity generation increases, while electricity demand decreases. This being the case, flexible operation of coal and nuclear power plants along with LNG and pumped-storage hydroelectricity can be used to counterbalance the excess electricity generation from renewables. In addition, nuclear energy plays an important role in reducing CO2 emissions and electricity costs unlike the fossil fuel-based generation sources outlined in the 8th Basic Plan.