scholarly journals Smart Grid Dispatching Optimization for System Resilience Improvement

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Liao ◽  
Chengjun Ji
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Smart Grid ◽  
Objective Function ◽  
Real Time ◽  
Power Supply ◽  
Optimization Model ◽  
Collaborative Optimization ◽  
The Real ◽  
The Cost

A large number of modern communication technologies and sensing technologies are incorporated into the smart grid, which makes its structure unique. The centralized optimized dispatch method of traditional power grids is difficult to achieve effective dispatch of smart grids. Based on the analysis of power generation plan and maintenance plan optimization model, this paper establishes a smart grid power generation and maintenance collaborative optimization model with distributed renewable energy. The objective function of this collaborative optimization problem is the operating cost of conventional units, the cost of wind power generation, and the cost of overhauling units; the constraints considered mainly include system constraints and overhaul constraints. The solution method of combinatorial optimization is analyzed, and the genetic optimization algorithm adopted in this paper is selected and discussed. According to the characteristics of the system, various loads are modeled, and power supply constraints are considered. By establishing an effective objective function, the adjustable load scheduling problem is transformed into a solvable optimal control problem. Taking into account the uncertain factors in the system, the advantage of the real-time control system is that it can realize the dynamic update scheduling of the load, so it is more in line with the requirements of the actual system. The real-time algorithm proposed in the paper is based on a distributed control strategy, which can not only realize dynamic compensation for random fluctuations in renewable energy power generation but also satisfy the load curve optimization under the premise of making full use of power supply resources. In addition, simulation experiments compare the load dispatching capabilities of the proposed algorithm with the existing algorithms, thereby verifying the performance of the proposed method.

scholarly journals Hybrid bypass technique to mitigate leakage current in the grid-tied inverter

2022 ◽  
Vol 12 (1) ◽  
pp. 131
Author(s):  
Geetha Kamurthy ◽  
Sreenivasappa Bhupasandra Veeranna
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Smart Grid ◽  
Leakage Current ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Good Efficiency ◽  
Distributed Power ◽  
Distributed Power Generation ◽  
Bypass Technique

The extensive use of fossil fuel is destroying the balance of nature that could lead to many problems in the forthcoming era. Renewable energy resources are a ray of hope to avoid possible destruction. Smart grid and distributed power generation systems are now mainly built with the help of renewable energy resources. The integration of renewable energy production system with the smart grid and distributed power generation is facing many challenges that include addressing the issue of isolation and power quality. This paper presents a new approach to address the aforementioned issues by proposing a hybrid bypass technique concept to improve the overall performance of the grid-tied inverter in solar power generation. The topology with the proposed technique is presented using traditional H5, oH5 and H6 inverter. Comparison of topologies with literature is carried out to check the feasibility of the method proposed. It is found that the leakage current of all the proposed inverters is 9 mA and total harmonic distortion is almost about 2%. The proposed topology has good efficiency, common mode and differential mode characteristics.

scholarly journals Experimental Analysis of Modified DC-P&O Technique with Arm Controller for a Stand-Alone 40 W PV System

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6169
Author(s):  
Ashish Kumar Singhal ◽  
Narendra Singh Beniwal ◽  
Khalid Almutairi ◽  
Joshuva Arockia Dhanraj ◽  
Ali Mostafaeipour ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Renewable Energy Sources ◽  
Duty Ratio ◽  
Resistive Load ◽  
Renewable Energy Resources ◽  
Pv System ◽  
The Real ◽  
Fast Tracking ◽  
Pv Panel

The world is moving towards the generation of electricity with renewable energy sources (RES) due to the deterioration of the green environment and trying to replace non-renewable energy resources. The real-time results are achieved with the help of an arm controller, having good controller efficiency with the Waijung toolbox, compatible with MATLAB using STM32ST-link utility. In this paper, the authors are focused on areas such as easy to implement controller efficiency, and real-time solutions for modified direct-control perturbation & observation (DC-P&O) technique based on 32- bit ARM Cortex microcontroller (STM32F407VGT6) with embedded programming using Waijung blocksets, which offers very expected outcomes of the problem to make the stand-alone system efficient with fast-tracking. The observation setup is tested with a 40-watt photovoltaic (PV) panel with resistive load for achieving its stability. The designed algorithm enhances the efficiency of the controller by 84.48% for the real-time parameters of the PV panel at maximum power point (MPP) for a 57% duty ratio.

scholarly journals Assessing Renewable Energy Sources for Electricity (RES-E) Potential using a CAPM-Analogous Multi-Stage Model

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3599 ◽  
Author(s):  
Martinez-Fernandez ◽  
deLlano-Paz ◽  
Calvo-Silvosa ◽  
Soares
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Carbon Capture ◽  
Renewable Energy Sources ◽  
Carbon Capture And Storage ◽  
Offshore Wind ◽  
Energy Sources ◽  
Low Carbon ◽  
Multi Stage ◽  
The Cost

Carbon mitigation is a major aim of the power-generation regulation. Renewable energy sources for electricity are essential to design a future low-carbon mix. In this work, financial Modern Portfolio Theory (MPT) is implemented to optimize the power-generation technologies portfolio. We include technological and environmental restrictions in the model. The optimization is carried out in two stages. Firstly, we minimize the cost and risk of the generation portfolio, and afterwards, we minimize its emission factor and risk. By combining these two results, we are able to draw an area which can be considered analogous to the Capital Market Line (CML) used by the Capital Asset Pricing model (CAPM). This area delimits the set of long-term power-generation portfolios that can be selected to achieve a progressive decarbonisation of the mix. This work confirms the relevant role of small hydro, offshore wind, and large hydro as preferential technologies in efficient portfolios. It is necessary to include all available renewable technologies in order to reduce the cost and the risk of the portfolio, benefiting from the diversification effect. Additionally, carbon capture and storage technologies must be available and deployed if fossil fuel technologies remain in the portfolio in a low-carbon approach.

An Integer Programming Optimization Model of Container Shipping of Sea-Carriage

2012 ◽  
Vol 220-223 ◽  
pp. 2678-2683
Author(s):  
Bin Wang ◽  
Tao Yang
Keyword(s):  
Integer Programming ◽  
Objective Function ◽  
Optimization Model ◽  
Container Shipping ◽  
Empty Container ◽  
Shipping Company ◽  
Shipping Cost ◽  
Total Profit ◽  
Empty Containers ◽  
The Cost

The paper dose research about the optimization of container shipping of sea –carriage for meeting the goods transport requirement by use of integer programming. Both laden and empty containers are combined into a system. In particular, the effect of special laden container shipping capacity on the shipping plan is investigated. In the model, the objective function is to maximize the total profit of container shipping. The profit caused by laden container shipping minus the cost caused by both laden and empty container shipping equal to the total profit. The constraints to the model include meeting the need of both laden and empty containers, shipping limit to both common and special laden containers , the number of empty container supported. Lingo9.0 is used to solve the model and shipping methods in varied parameters are shown by simulation. The aim of the paper is to provide a reasonable plan of container shipping of sea-carriage, so the container shipping cost of a shipping company can be reduced and the its profit made by container shipping are maximized.

scholarly journals An Augmented Virtuality Based Solar Energy Power Calculator in Electrical Engineering

2015 ◽  
Vol 5 (1) ◽  
pp. 4 ◽  
Author(s):  
Clement Ehimika Ohireime Onime ◽  
James Uhomoibhi ◽  
Ermanno Pietrosemoli
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Solar Energy ◽  
Renewable Energy Sources ◽  
Electrical Energy ◽  
Photovoltaic Panel ◽  
Augmented Virtuality ◽  
Hands On ◽  
Electrical Engineers ◽  
The Cost

It is becoming increasingly important to include information about power generation from renewable energy sources in the training of electrical engineers. Solar energy is arguably the most common renewable energy source in use today. Providing practical hands-on training on solar energy power generation today requires the use of photovoltaic panel devices which are used for transforming solar energy into electrical energy. In many developing countries, practical hands-on training on solar power generation is limited due to the cost of photovoltaic panel devices and so the training consists of theoretical and tutorial classes sometimes supported by remote and virtual laboratories. This paper presents an augmented virtuality tool where real-time information from a mobile device’s sensors is used directly within a virtual or computer generated environment. The tool provides a practical context for hands-on tutorial exercises on solar energy power generation.

scholarly journals Potential for anaerobic digestion of dairy farm effluent in New Zealand

2015 ◽  
Vol 77 ◽  
pp. 71-76 ◽  
Author(s):  
A.Milet J.S. Rowarth ◽  
F.G. Scrimgeour
Keyword(s):  
Renewable Energy ◽  
New Zealand ◽  
Anaerobic Digestion ◽  
Power Supply ◽  
Dairy Farm ◽  
Energy Profile ◽  
Potential Environmental Impact ◽  
Land Disposal ◽  
The Cost ◽  
Reducing Potential

Efficient effluent management allows capturing of nutrient benefits while reducing potential environmental impact. In New Zealand research has focussed on ponds and land disposal, whereas digesters are being implemented overseas. When biogas produced by anaerobic digestion is collected, it can be used to produce heat and electricity; this has been done in some countries trying to increase their renewable energy profile (e.g., France), but the cost is not always offset by the benefits. Analysis of policies concerning power supply in France and New Zealand revealed very large differences between the two countries, which, in combination with differences in population density, availability of co-digestion products and dairy shed effluent type, means that the establishment of biodigesters is unlikely in New Zealand unless there are changes in policy to encourage greater renewable energy via implementation assistance. Keywords: Biodigester, co-digestion, energy

scholarly journals Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform

2020 ◽  
Vol 12 (16) ◽  
pp. 6582
Author(s):  
Lingyan Xu ◽  
Fenglian Huang ◽  
Jianguo Du ◽  
Dandan Wang
Keyword(s):  
Power Generation ◽  
Supply Chain ◽  
Renewable Energy ◽  
Power Plant ◽  
Power Supply ◽  
Emission Reduction ◽  
Cost Coefficient ◽  
Reduction Cost ◽  
Reduction Effort ◽  
Preference Coefficient

Sustainability in power supply chain has been supported by emission reduction of coal-fired power generation and increasing renewable energy power generation. Under the power market reform of direct power purchase transactions, this paper focuses on the channel selection and emission reduction decisions of power supply chain. From the theoretical perspective, this paper develops the decision-making models of centralized and decentralized power supply chain, which consist of one renewable energy power generation enterprise, one coal-fired power plant and one power grid enterprise. The optimal strategies of power quantities and profits for power supply chain members and their corresponding numerical experiments are analyzed in different cases. The results show that there are qA1Nc*<qA1Lc* for renewable energy power generation enterprise A, qB1Nc*>qB1Lc* and eBNc*>eBLc* for coal-fired power plant B, which indicate that the direct power purchase channel in the centralized scenario is conducive to promoting the transaction quantity of renewable energy power generation, as well as the on-grid power quantity and emission reduction efforts of coal-fired power plant B. Furthermore, the profit of whole power supply chain could be enhanced by the increasing on-grid power preference coefficient of coal-fired power generation, subsidy for renewable energy power generation and preference coefficient for clean production, and by the decreasing emission reduction cost coefficient of coal-fired power plant. Additionally, the emission reduction effort of coal-fired power plant is positively relevant with preference coefficient for clean production, whereas it is negatively relevant with power grid wheeling charge, emission reduction cost coefficient and subsidy for renewable energy power generation. Our findings can provide useful managerial insights for policymakers and enterprises in the sustainability of power supply chain.

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