scholarly journals Scope of Intelligence Approcahes for Unit Commitment Under Uncertain Sustainable Energy Environment For Effective Vehicle To Grid Operations-A Comprehensive Review

2020 ◽  
Vol 184 ◽  
pp. 01034
Author(s):  
Dinesh Dhawale ◽  
Vikram Kumar Kamboj
Keyword(s):  
Electric Vehicles ◽  
Unit Commitment ◽  
Sustainable Energy ◽  
Optimization Techniques ◽  
The Other ◽  
Power Demand ◽  
Unit Commitment Problem ◽  
Vehicle To Grid ◽  
The Impact ◽  
Selection Of

Electric vehicles are getting popularity as these are eco-friendly and could be a part of power sector in the future. Electric Vehicles are the smart hybrid vehicles, which stores electric power during their operation, which could be stored in storage cells. These electric vehicles may be plug-in electric vehicles or battery operated electric vehicles. The concept of aggregators may be utilized, wherein the stored energy in vehicles could be supplied to grid during parking hours .This also facilitate the consumers to sale power during the high power demand and purchase power during low power demand. Thus, a bi-directional flow of power could be possible either from vehicle to grid or vice-versa. A large penetration of electric vehicles could result in increase in power demand which could be compensated by proper coordinated unit commitment and optimization techniques. The increasing load on grid by the impact of demand and trends in small generating units which require proper selection of number of generating units to put in line and other units in off condition calls for the concept of unit commitment. It is the selection of more efficient units to be in service and shutting down the other unit while maintaining all the other constraint constant. This would result in effective power flow in an economic manner, simultaneously maintaining the adequacy and reliability of the system. The proposed research represents the scope of intelligence algorithm for unit commitment problem with effective solution of vehicle to grid operations along with sustainable energy for realistic power system.

scholarly journals A review of optimization techniques applied to solve unit commitment problem in microgrid

2019 ◽  
Vol 15 (3) ◽  
pp. 1161
Author(s):  
Karthik N ◽  
A K Parvathy ◽  
Arul Rajagopalan ◽  
S Baskar
Keyword(s):  
Literature Review ◽  
Optimization Problem ◽  
Time Perspective ◽  
Unit Commitment ◽  
Optimization Techniques ◽  
Energy Sources ◽  
Power Demand ◽  
Unit Commitment Problem ◽  
Ecological Constraints ◽  
Commitment Problem

<p>Unit Commitment (UC) is an optimization problem used to find out the least cost dispatch of obtainable generation resources to meet up an expected electric power demand over a certain time perspective under generational, technical and ecological constraints. In the midst of the momentous increase of non-conventional energy sources incorporation into the power system networks, effects caused by these system alterations to the UC are dynamically being studied and examined by worldwide researchers. This paper presents a literature review of application of several optimization algorithms to elucidate the UC problem in microgrids. Lastly a few basic challenges arising from the new optimization approaches in microgrids are addressed.</p>

scholarly journals A New Solution to Profit Based Unit Commitment Problem Considering PEVs/BEVs and Renewable Energy Sources

2020 ◽  
Vol 184 ◽  
pp. 01070
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Production Cost ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Unit Commitment Problem ◽  
Load Demand ◽  
Commitment Problem ◽  
The Impact

Daily load demand for industrial, residential and commercial sectors are changing day by day. Also, inclusion of e-mobility has totally effected the operations of realistic power sector. Hence, to meet this time varying load demand with minimum production cost is very challenging. The proposed research work focuses on the mathematical formulation of profit based unit commitment problem of realistic power system considering the impact of battery electric vehicles, hybrid electric vehicles and plug in electric vehicles and its solution using Intensify Harris Hawks Optimizer (IHHO). The coordination of plants with each other is named as Unit commitment of plants in which the most economical patterns of the generating station is taken so as to gain low production cost with higher reliability. But with the increase in industrialization has affected the environment badly so to maintain the balance between the generation and environment a new thinking of generating low cost power with high reliability by causing less harm to environment i.e. less emission of flue gases is adopted by considering renewable energy sources.

scholarly journals An Improved, Negatively Correlated Search for Solving the Unit Commitment Problem’s Integration with Electric Vehicles

2019 ◽  
Vol 11 (24) ◽  
pp. 6945
Author(s):  
Qun Niu ◽  
Kecheng Jiang ◽  
Zhile Yang
Keyword(s):  
Electric Vehicles ◽  
Unit Commitment ◽  
Low Voltage ◽  
Polynomial Optimization ◽  
Rapid Development ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Unit Commitment Problem ◽  
Charging Mode ◽  
The Impact

With the rapid development of plug-in electric vehicles (PEVs), the charging of a number of PEVs has already brought huge impact and burden to the power grid, particularly at the medium and low voltage distribution networks. This presents a big challenge for further mass roll-out of electric vehicles. To assess the impact of charging of substantial number of electric vehicles on the grid, a model of 30000 PEVs integrated with unit commitment (UCEV) was investigated in this study. The unit commitment was a large-scale, mixed-integer, nonlinear, NP-Hard (non-deterministic polynomial) optimization problem, while the integration of PEVs further increased the complexity of the model. In this paper, a global best inspired negatively correlated search (GBNCS) method which extends the evolutionary logic of negatively correlated search is proposed to tackle the UCEV problem. In the proposed algorithm, a rounding transfer function in GBNCS, is deployed to convert real-valued variables into binary ones; further, the global best information is combined in the population to improve the efficiency of the algorithm. Numerical results confirmed that the proposed GBNCS can achieve good performance in both a basic IEEE 10 unit commitment problem and the UCEV problem. It was also shown that, among four charging modes, the off-peak charging mode and EPRI (Electric Power Research Institute) charging mode are more economical in PEV charging.

scholarly journals Analysis of EV Cost-Based Charging Load Profiles

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 2
Author(s):  
Elisavet Koutsi ◽  
Sotirios Deligiannis ◽  
Georgia Athanasiadou ◽  
Dimitra Zarbouti ◽  
George Tsoulos
Keyword(s):  
Electric Vehicles ◽  
User Preferences ◽  
Reference Scenario ◽  
Electricity Prices ◽  
Horizon 2020 ◽  
Vehicle To Grid ◽  
Electrical Grid ◽  
Incentive Strategies ◽  
Grid Load ◽  
The Impact

During the last few decades, electric vehicles (EVs) have emerged as a promising sustainable alternative to traditional fuel cars. The work presented here is carried out in the context of the Horizon 2020 project MERLON and targets the impact of EVs on electrical grid load profiles, while considering both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operation modes. Three different charging policies are considered: the uncontrolled charging, which acts as a reference scenario, and two strategies that fall under the umbrella of individual charging policies based on price incentive strategies. Electricity prices along with the EV user preferences are taken into account for both charging (G2V) and discharging (V2G) operations, allowing for more realistic scenarios to be considered.

scholarly journals Adaptive Robust Optimization-Based Optimal Operation of Microgrids Considering Uncertainties in Arrival and Departure Times of Electric Vehicles

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2646 ◽  
Author(s):  
Se-Hyeok Choi ◽  
Akhtar Hussain ◽  
Hak-Man Kim
Keyword(s):  
Robust Optimization ◽  
Electric Vehicles ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Market Price ◽  
Optimal Operation ◽  
Worst Case ◽  
Price Signals ◽  
Power Trading ◽  
The Impact

The optimal operation of microgrids is challenging due to the presence of various uncertain factors, i.e., renewable energy sources, loads, market price signals, and arrival and departure times of electric vehicles (EVs). In order to incorporate these uncertainties into the operation model of microgrids, an adaptive robust optimization-based operation method is proposed in this paper. In particular, the focus is on the uncertainties in arrival and departure times of EVs. The optimization problem is divided into inner and outer problems and is solved iteratively by introducing column and constraint cuts. The unit commitment status of dispatchable generators is determined in the outer problem. Then, the worst-case realizations of all the uncertain factors are determined in the inner problem. Based on the values of uncertain factors, the generation amount of dispatchable generators, the amount of power trading with the utility grid, and the charging/discharging amount of storage elements are determined. The performance of the proposed method is evaluated using three different cases, and sensitivity analysis is carried out by varying the number of EVs and the budget of uncertainty. The impact of the budget of uncertainty and number of EVs on the operation cost of the microgrid is also evaluated considering uncertainties in arrival and departure times of EVs.

scholarly journals Sustainable energy transition in Central Asia: status and challenges

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mirjana Radovanović ◽  
Sanja Filipović ◽  
Andrea Andrejević Panić
Keyword(s):  
Quantitative Analysis ◽  
Central Asia ◽  
Sustainable Energy ◽  
International Energy Agency ◽  
Energy Transition ◽  
Regulatory Framework ◽  
The Other ◽  
Special Importance ◽  
Other Hand ◽  
The Impact

Abstract Background The paper aims at gaining insight into the implementation of the process of sustainable energy transition in the countries of Central Asia: Kazakhstan, Kyrgyz Republic, Tajikistan, Turkmenistan, and Uzbekistan. Information and scientific studies on the situation in these countries is scarce. On the other hand, these are resource-rich countries, some are exporters, and all are energy transit countries. The main aim of the paper was realized by applying the energy policies and regulatory framework analysis, defining priorities and monitoring selected indicators prescribed by the International Energy Agency. Methods The following methods were used in the quantitative analysis: measurement of data intercorrelation; Pearson test of correlation; principal component analysis (with rotation method: Oblimin with Kaiser normalization); Kaiser–Meyer–Olkin measure of sampling adequacy, Bartlett’s test of sphericity and t-test. The period covered by the quantitative analysis: 1990–2018, provided that the available data for 2019 or 2020 were used in certain cases. Results Sustainable energy transition is, at the analysis of policies and data, at a low level. There is no adequate regulatory framework in these countries. The energy transition takes place exclusively within the framework of providing enough energy, without regard to sustainability, while even energy exporting countries are not making efforts to achieve a sustainable energy transition. Conclusions There are no indications that the energy transition in the countries of Central Asia will take place according to the standards of the European Union or global bodies. On the other hand, having in mind the natural resources of the mentioned countries and the specific geopolitical position, monitoring the changes is of special importance. The impact of changes on sustainability can be determined mainly ex post.

scholarly journals Comparison and Analysis of GPS Measured Electric Vehicle Charging Demand: The Case of Western Sweden and Seattle

2021 ◽  
Vol 9 ◽  
Author(s):  
Elias Hartvigsson ◽  
Niklas Jakobsson ◽  
Maria Taljegard ◽  
Mikael Odenberger
Keyword(s):  
United States ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
The United States ◽  
Power Demand ◽  
Driving Patterns ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
The Impact ◽  
Charging Demand

Electrification of transportation using electric vehicles has a large potential to reduce transport related emissions but could potentially cause issues in generation and distribution of electricity. This study uses GPS measured driving patterns from conventional gasoline and diesel cars in western Sweden and Seattle, United States, to estimate and analyze expected charging coincidence assuming these driving patterns were the same for electric vehicles. The results show that the electric vehicle charging power demand in western Sweden and Seattle is 50–183% higher compared to studies that were relying on national household travel surveys in Sweden and United States. The after-coincidence charging power demand from GPS measured driving behavior converges at 1.8 kW or lower for Sweden and at 2.1 kW or lower for the United States The results show that nominal charging power has the largest impact on after-coincidence charging power demand, followed by the vehicle’s electricity consumption and lastly the charging location. We also find that the reduction in charging demand, when charging is moved in time, is largest for few vehicles and reduces as the number of vehicles increase. Our results are important when analyzing the impact from large scale introduction of electric vehicles on electricity distribution and generation.

scholarly journals Index Kultural pada Penerjemahan Novel Eclipse: Sebuah Pendekata Semiotik

2019 ◽  
Vol 25 (2) ◽  
pp. 323-342
Author(s):  
Tri Pujiati
Keyword(s):  
Qualitative Method ◽  
The Other ◽  
Target Language ◽  
Source Language ◽  
Semiotic Approach ◽  
The Right ◽  
The Impact ◽  
Bahasa Indonesia ◽  
Selection Of ◽  
Stephenie Meyer

Budaya merupakan salah satu tantangan utama yang ditemukan dalam menerjemahkan bahasa Inggris ke dalam bahasa Indonesia. Penelitian ini bertujuan untuk mengetahui dampak indeks budaya terhadap terjemahan Novel Eclipse karya Stephenie Meyer. Penelitian ini menggunakan metode kualitatif dan pendekatan semiotik dalam penerjemahan. Terdapat 30 data yang diambil dari novel Eclipse dan terjemahannya dalam bahasa Indonesia dengan teknik. Hasil penelitian ini menunjukkan bahwa (1) indeks budaya yang digunakan oleh penerjemah sebagai cara untuk mempertahankan budaya sumber itu sendiri memiliki dampak besar pada bahasa target. Ada beberapa terjemahan yang tidak dapat diterima dalam bahasa target karena maknanya tidak tersedia dalam bahasa Indonesia, indeks budaya lainnya diterima dalam bahasa target karena ada persamaan arti yang sesuai dengan bahasa sumber; (2) sebagai cara untuk menyelesaikan masalah dalam menerjemahkan budaya, penerjemah menggunakan prosedur transferensi dan naturalisasi. Terdapat 87% menggunakan prosedur transferensi dan 13% menggunakan naturalisasi. Simpulan umum dari penelitian ini menunjukkan bahwa beberapa strategi penerjemahan tersebut tidak akurat di dalam bahasa sasaran sehingga penerjemah perlu mempertimbangkan pemilihan prosedur yang tepat sehingga terjemahan yang dihasilkan dapat diterima dalam bahasa sasaran. Culture is one of the main important challenges found in translating English into Indonesian language. This research aims to know the impact of cultural index on translation of Eclipse Novel by Stephenie Meyer. This research uses qualitative method and semiotic approach in translation. There are 30 data taken from Eclipse novel and its translation in Indonesian language. The results of this study show that (1) cultural index which used by translator as a way to defend the source culture and source language (henceforth SL) itself has a great impact on target language (henceforth TL). There are some translations which cannot be accepted in target language because the meaning is not available in Indonesian language, the other cultural index are accepted in TL as there are equivalence meaning that correspondence the SL; (2) as a way to solve the problem in translating culture, the translator uses transference and naturalization procedure. There are about 87% used transference procedure and 13% used naturalization. The general conclusion of this study shows that some of these strategies are not accurate in the target language so translators need to consider the selection of the right procedure so that the resulting translation can be accepted in the target language.

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