Offshore Wind Energy Integration using Photovoltaic Systems and Batteries as Smoothing Devices

2021 ◽  
Vol 69 (2) ◽  
pp. 13-20
Author(s):  
Hakima MALOUM ◽  
Boukhalfa BENDAHMANE ◽  
Cristian NICHITA ◽  
Mouloud ADLI
Keyword(s):  
Energy Management ◽  
Wind Farm ◽  
Power Level ◽  
Distribution Network ◽  
Electrical Energy ◽  
Offshore Wind ◽  
Energy Integration ◽  
Management Algorithm ◽  
Power Deficit ◽  
The One

Currently, producing electrical energy is among the major concerns, which will continue to grow in the future. This is due, on the one hand, to the depletion and high conventional energy sources costs. On the other hand, because of the pollution they cause to the environment, hence the need to produce electrical energy from renewable and clean sources, such as wind, photovoltaic and tidal systems. The exploitation of the sea wind by offshore wind turbines is interesting and promising. In this context, this work aims to propose a new approach to hybrid offshore wind/photovoltaic/battery systems energy management. The power produced by the photovoltaic/battery will be used to compensate for the lack of power presented by offshore wind production in relation to the demand of the grid, as offshore wind is taken as a main source in this study. To achieve the set objective, an energy management algorithm is developed and implemented. This algorithm makes it possible to involve photovoltaics in the first place, in a progressive way according to the power deficit presented by the offshore park and the available sunshine. As it also aims to manage the charge and discharge of the battery bench last if the power supplied by the offshore wind farm alone or by offshore wind/photovoltaic does not match the demand. To verify the efficiency of this management algorithm, simulations of the offshore wind/photovoltaic/battery system were carried out under matlab/simpowers. This system is divided into several sub-systems: wind, photovoltaic and battery bank. Each of them is equipped with different specific infrastructure, as well as adequate control systems for proper operation. All subsystems are grouped together at a common connection point, where energy management is carried out prior to connection to the distribution network. The results obtained validated the main approaches of the proposed method allowing a reliable stabilization of the power level to the common connection point at the reference power that must be injected into the distribution network.

scholarly journals Home Energy Management Strategy-Based Meta-Heuristic Optimization for Electrical Energy Cost Minimization Considering TOU Tariffs

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 537
Author(s):  
Rittichai Liemthong ◽  
Chitchai Srithapon ◽  
Prasanta K. Ghosh ◽  
Rongrit Chatthaworn
Keyword(s):  
Energy Management ◽  
Energy Cost ◽  
Management Strategy ◽  
Cost Minimization ◽  
Distribution Network ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Heuristic Optimization ◽  
Energy Management Strategy ◽  
Home Energy Management

It is well documented that both solar photovoltaic (PV) systems and electric vehicles (EVs) positively impact the global environment. However, the integration of high PV resources into distribution networks creates new challenges because of the uncertainty of PV power generation. Additionally, high power consumption during many EV charging operations at a certain time of the day can be stressful for the distribution network. Stresses on the distribution network influence higher electricity tariffs, which negatively impact consumers. Therefore, a home energy management system is one of the solutions to control electricity consumption to reduce electrical energy costs. In this paper, a meta-heuristic-based optimization of a home energy management strategy is presented with the goal of electrical energy cost minimization for the consumer under the time-of-use (TOU) tariffs. The proposed strategy manages the operations of the plug-in electric vehicle (PEV) and the energy storage system (ESS) charging and discharging in a home. The meta-heuristic optimization, namely a genetic algorithm (GA), was applied to the home energy management strategy for minimizing the daily electrical energy cost for the consumer through optimal scheduling of ESS and PEV operations. To confirm the effectiveness of the proposed methodology, the load profile of a household in Udonthani, Thailand, and the TOU tariffs of the provincial electricity authority (PEA) of Thailand were applied in the simulation. The simulation results show that the proposed strategy with GA optimization provides the minimum daily or net electrical energy cost for the consumer. The daily electrical energy cost for the consumer is equal to 0.3847 USD when the methodology without GA optimization is used, whereas the electrical energy cost is equal to 0.3577 USD when the proposed methodology with GA optimization is used. Therefore, the proposed optimal home energy management strategy with GA optimization can decrease the daily electrical energy cost for the consumer up to 7.0185% compared to the electrical energy cost obtained from the methodology without GA optimization.

scholarly journals Wind Farm Power Production Assessment: Introduction of a New Actuator Disc Method and Comparison with Existing Models in the Context of a Case Study

2019 ◽  
Vol 9 (3) ◽  
pp. 431 ◽  
Author(s):  
Nikolaos Simisiroglou ◽  
Heracles Polatidis ◽  
Stefan Ivanell
Keyword(s):  
Wind Farm ◽  
Power Production ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Actuator Disc ◽  
Power Deficit ◽  
The Given ◽  
Method Show ◽  
Do So

The aim of the present study is to perform a comparative analysis of two actuator disc methods (ACD) and two analytical wake models for wind farm power production assessment. To do so, wind turbine power production data from the Lillgrund offshore wind farm in Sweden is used. The measured power production for individual wind turbines is compared with results from simulations, done in the WindSim software, using two ACD methods (ACD (2008) and ACD (2016)) and two analytical wake models widely used within the wind industry (Jensen and Larsen wake models). It was found that the ACD (2016) method and the Larsen model outperform the other method and model in most cases. Furthermore, results from the ACD (2016) method show a clear improvement in the estimated power production in comparison to the ACD (2008) method. The Jensen method seems to overestimate the power deficit for all cases. The ACD (2016) method, despite its simplicity, can capture the power production within the given error margin although it tends to underestimate the power deficit.

scholarly journals Wind farm potential for electrical energy supply to a neighbourhood of single-family houses located at the Polish Baltic seaside

2018 ◽  
Vol 49 ◽  
pp. 00137
Author(s):  
Marcin Zygmunt ◽  
Dariusz Gawin
Keyword(s):  
Energy Supply ◽  
Wind Farm ◽  
Wind Farms ◽  
Electrical Energy ◽  
Offshore Wind ◽  
Single Family ◽  
Residential Housing ◽  
Climate Conditions ◽  
Load Duration ◽  
Electrical Energy Production

The article presents an analysis for the Polish Baltic seaside concerning wind farm potential for producing electricity for housing. The analysis includes comparison of onshore and offshore wind climate parameters important for electrical energy production. The wind turbine parameters were assumed from the datasheet for two chosen turbines while the climate conditions for an onshore and an offshore location were set from the local measuring stations. For the purposes of this article, an energy model of a neighborhood of single-family houses was defined using Energy Plus software. Selection of house types was made following the present Polish statistics concerning newly constructed buildings. The electricity load duration curve of the neighborhood was carried out. Additionally, the analysis of electrical energy supply from wind farms for the analyzed location was performed. The analysis aim is assessment of the wind farm potential for covering energy needs of single family residential housing.

Collision of a Drifting Ship With Wind Turbines in a Wind Farm

2013 ◽  
Author(s):  
Hideyuki Suzuki ◽  
Shinya Okayama ◽  
Yukinari Fukumoto
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Turbines ◽  
Traffic Area ◽  
Marine Traffic ◽  
Multiple Collisions ◽  
The One

A multiple collisions caused by a drifting ship which lost control and entered into a wind farm (WF) may cause relatively large risk for a WF comprised of bottom mounted type offshore wind turbines. A bottom mounted type wind turbine will be installed relatively close to shore in Japan and sometimes close to dense marine traffic area. Consideration of the risk will be necessary in planning a WF. This paper presented an estimation of a damage caused by collision with a drifting ship accidentally entered a wind farm. The WF is assumed comprised of bottom mounted type offshore wind turbines. The size of the drift ship considered in the analysis is 6788 GT. For smaller ships, damage to wind turbine considered to be small. Entry of ships from sides other than the one facing sea route was ignored because the number of ship entries from the sides was considered small. Under a number of limitations, risk of multiple collisions in WF by a drifting ship was formulated and quantitatively estimated.

scholarly journals Improved Evaluation of The Wind Power Potential of a Large Offshore Wind Farm Using Four Analytical Wake Models

2021 ◽  
Vol 11 (1) ◽  
pp. 35-48
Author(s):  
Mohammed Amine Hassoine ◽  
Fouad Lahlou ◽  
Adnane Addaim ◽  
Abdessalam Ait Madi
Keyword(s):  
Wind Direction ◽  
Power Output ◽  
Power Loss ◽  
Wind Farm ◽  
Offshore Wind ◽  
Total Power ◽  
Offshore Wind Farm ◽  
Wake Effect ◽  
Power Deficit ◽  
Total Power Output

The objective of this paper is to investigate the ability of analytical wake models to estimate the wake effects between wind turbines (WTs). The interaction of multiple wakes reduces the total power output produced by a large offshore wind farm (LOFWF). This power loss is due to the effect of turbine spacing (WTS), if the WTs are too close, the power loss is very significant. Therefore, the optimization of turbine positions within the offshore wind farm requires an understanding of the interaction of wakes inside the wind farm. To better understand the wake effect, the Horns Rev 1 offshore wind farm has been studied with four wake models, Jensen, Larsen, Ishihara, and Frandsen. A comparative study of the wake models has been performed in several situations and configurations, single and multiple wakes are taken into consideration. Results from the Horns Rev1 offshore wind farm case have  been evaluated and compared to observational data, and also  with the previous studies. The power output of a row of WTs is sensitive to the wind direction. For example, if a row of ten turbines is aligned with the 270° wind direction, the full wake condition of WTs is reached and the power deficit limit predicted by Jensen model exceeds 70%. When a wind direction changes only of  10° (260° and 280°), the deficit limit reduces to 30%. The obtained results show that a significant power deficit occurs when the turbines are arranged in an aligned manner. The findings also showed that all four models gave acceptable predictions of the total power output. The comparison between the calculated and reported power output of Horns Revs 1 showed that the differences ranged from - 8.27 MW (12.49%) to 15.27 MW (23.06%) for the Larsen and Frandsen models, respectively.

scholarly journals An Efficient Approach for Reactive Power Compensation of Distribution Networks Using Particle Swarm Optimization

2020 ◽  
Vol 6 (7) ◽  
pp. 14-19
Author(s):  
Nikhil Dubey ◽  
Prof. Ranvijay
Keyword(s):  
Optimization Algorithm ◽  
Power Distribution ◽  
Reactive Power ◽  
Power Level ◽  
Distribution Network ◽  
Distribution Networks ◽  
Optimization Method ◽  
Power Distribution Network ◽  
Power Quality Conditioner ◽  
The One

The power compensation is the one of the problem in distribution network. The power compensation is done by maintain the reactive power in distribution network. The power is maintain the state of the UPQC (Uni?ed power quality conditioner). The UPAC controlled by the STATCOM or DSTATCOM. Different approaches use to maintain the power at needed level in the power distribution network the process done by MOPSO optimization method the MOPSO is the best for this process because we consider the lot of objective function to optimize the place of the UPQC. In our proposed work we find the power level in distribution network using optimization algorithm. The optimization algorithm is used to optimization the power and find which place is suitable for place the STATCOM or DSTATCOM. This is used to maintain the reactive power in distribution network.

Large-Scale Tests With Hydraulic and Pneumatic Overpressure for Monopile Decommissioning of Offshore Wind Turbines

2020 ◽  
Author(s):  
Nils Hinzmann ◽  
Jörg Gattermann ◽  
Patrick Lehn
Keyword(s):  
Large Scale ◽  
Wind Farm ◽  
Complete Removal ◽  
Offshore Wind ◽  
Lateral Loads ◽  
Offshore Wind Turbines ◽  
Measurement Concept ◽  
Set Up ◽  
The One ◽  
Large Scale Tests

Abstract The complete decommissioning of an offshore wind farm can be considered as a highly complex and hazardous approach. An unknown number of variables and unforeseen circumstances are involved in the decommissioning process. On the one hand the decommissioning of the top structure, such as blades, turbine and mast, can be handled relatively risk free by reversing the installation steps. More focus needs to be given to the recycling method and logistic. The foundation decommissioning on the other hand is a much more challenging procedure. Originally designed for high axial and lateral loads, the foundations are generally oversized concerning the loading capacity. With a diameter up to nine meter, an embedment of about 40 meter and a set up effect over 25 years, the necessary force to pull the pile out of the seabed can be assumed, if at all determinable, to be enormous. Different methods and techniques for a complete removal of offshore pile foundation are currently investigated within the project DeCoMP. Vibratory extraction and jet drilling aim for a reduction of the pile skin friction by creating a layer of less density between the pile shaft and pending soil. In a different approach the seabed is used as an abutment and a pressing force is applied by creating an overpressure inside the pile. The results of pilot test, presented in this paper, show the capability of overpressure pile decommissioning. On this basis scaled test with an extensive measurement concept will be carried out in 2020.

scholarly journals Price-Response Matrices Design Methodology for Electrical Energy Management Systems Based on DC Bus Signalling

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1787
Author(s):  
Lucas V. Bellinaso ◽  
Edivan L. Carvalho ◽  
Rafael Cardoso ◽  
Leandro Michels
Keyword(s):  
Power Management ◽  
Energy Management ◽  
Low Voltage ◽  
Electrical Energy ◽  
Power Sharing ◽  
Price Response ◽  
Energy Management Systems ◽  
Management Algorithm ◽  
Dc Bus ◽  
Battery Energy

Prosumers’ electrical installations (PEIs), as nanogrids and low-voltage microgrids, have gained importance in recent years following the development of standards such as the IEC 60364-8 series. In these systems, all distributed energy resources (DERs) are usually integrated using dc bus coupling. The IEC 60364-8-3 predicts an electrical energy management system (EEMS) for power-sharing. The overall research framework of this paper is the nanogrid power management, where complex algorithms are required, as well as the conventional state machines and hierarchical controls. However, the addition of new DERs in such systems is not straightforward due to the complicated parameter settings for energy usage optimization. A different control strategy, named price-based power management, has been conceived to make the EEMS scalable to include new sources and simplify parameterization. Since it is analogous to economic markets, most users understand the concepts and feel comfortable tuning parameters according to their own cost/benefits goals. This paper proposes a price-based power management algorithm for EEMS to automatically design the price-response matrices (PRMs). The PRMs are a way to organize power management, considering new DERs and variable price of energy. The main contribution is the methodology to design the PRMs. Experimental results are carried out to demonstrate the effectiveness of the proposed strategy. The results were obtained with a 1.5 kW prototype composed of a PV generator, battery energy storage, loads, and grid connection.

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