Model Predictive Control of Wind-Photovoltaic Hybrid System Connected to Grid

2017 ◽  
Vol 6 (3) ◽  
pp. 216
Author(s):  
Houda Abidi ◽  
Abdelkader Mami
Keyword(s):  
Predictive Control ◽  
Hybrid System ◽  
Energy System ◽  
Reference Tracking ◽  
Control Approach ◽  
Hybrid Energy ◽  
Electrical Grid ◽  
Parameter Variations ◽  
Predicted Values ◽  
The Cost

<span>This work focuses on Model based Predictive Control (MPC) for photovoltaic-wind hybrid energy system connected to electrical grid. Several benefits  are offered by this method  such as robustness against a  parameter variations, minimum output current distortion and excellent reference tracking. In order to minimize the cost function or the error between the  predicted values and their references, MPC-based algorithm permit to select and apply the  optimal voltage vector. Simulation results under Psim environment show a fast dynamic behavior of hybrid system with minimal errors, accuracy and usefulness of the considered control approach.</span>

Comparative Energy Cost Analysis of Hybrid System and Diesel Generator in Powering Selected Base Transceiver Stations in Nigeria

2017 ◽  
Author(s):  
Peter Ozaveshe Oviroh ◽  
Tien-Chien Jen ◽  
Nosa Idusuyi ◽  
Olushola Gbadeyan
Keyword(s):  
Hybrid System ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Base Station ◽  
Maintenance Cost ◽  
Diesel Generator ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Prohibitive Cost ◽  
The Cost

The rapid increase in global communication infrastructure in developing countries has drawn significant attention to the telecom sector. However, the dismal performance of the power sector in some countries like Nigeria poses a great challenge to the telecom industry which requires a reliable, efficient and environmentally friendly energy supply. Unstable electric grids, an erratic power supply, non-availability of trained and skilled personnel, and a prohibitive cost of site maintenance cumulatively have increased the need to harness abundant renewable energy sources, such as solar and wind. A comparative study of the viability of solar-diesel hybrid against diesel-only generator systems in powering a base station using the cost of kilowatt hour (kWh) self-generated electricity and levelised cost of energy (LCOE) was undertaken using data from some sites located in the Southwest (SW) and the Northeast (NE) regions of Nigeria. Homer Pro Software was used in data analysis. The results obtained showed that with a hybrid energy system (solar and diesel generator), there were 79% savings in fuel consumption, 83.2% savings in operation and maintenance cost for the hybrid energy system in the SW. The savings on fueling as a result of the use of hybrid systems was 86%, and the carbon footprint reduction was 76%. Furthermore, the cost of operation was reduced by 51% for Northeast. The LCOE for the solar hybrid system was determined to be $1.44 for NE1A and NE1B while that of NE2A was $1.46 and NE2B $1.47.

scholarly journals FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
High Voltage ◽  
Field Programmable Gate Arrays ◽  
Energy System ◽  
Maximum Power ◽  
Hybrid Energy ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.

scholarly journals Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 233 ◽  
Author(s):  
Omar Mohammed ◽  
Yassine Amirat ◽  
Mohamed Benbouzid
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Hybrid System ◽  
High Reliability ◽  
Energy System ◽  
System Model ◽  
Optimization Approach ◽  
Hybrid Energy ◽  
Optimal Energy ◽  
Optimal Energy Management

Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.

Optimization and evaluation of a wind, solar and fuel cell hybrid system in supplying electricity to a remote district in national grid

2019 ◽  
Vol 14 (2) ◽  
pp. 408-418
Author(s):  
Reza Alayi ◽  
Alibakhsh Kasaeian ◽  
Atabak Najafi ◽  
Eskandar Jamali
Keyword(s):  
Hybrid System ◽  
Design Methodology ◽  
Energy System ◽  
Current Load ◽  
Hybrid Energy System ◽  
Content Type ◽  
Hybrid Energy ◽  
Design And Optimization ◽  
Load Demand ◽  
Hybrid Optimization Model

Purpose The important factors, which should be considered in the design of a hybrid system of photovoltaic and wind energy are discussed in this study. The current load demand for electricity, as well as the load profile of solar radiation and wind power of the specified region chosen in Iran, is the basis of design and optimization in this study. Hybrid optimization model for electric renewable (HOMER) software was used to simulate and optimize hybrid energy system technically and economically. Design/methodology/approach HOMER software was used to simulate and optimize hybrid energy system technically and economically. Findings The maximum radiation intensity for the study area is 7.95 kwh/m2/day for July and the maximum wind speed for the study area is 11.02 m/s for January. Originality/value This research is the result of the original studies.

scholarly journals Techno-Economic Analysis of Grid-Connected PV and Fuel Cell Hybrid System Using Different PV Tracking Techniques

2020 ◽  
Vol 10 (23) ◽  
pp. 8515
Author(s):  
Saif Mubaarak ◽  
Delong Zhang ◽  
Yongcong Chen ◽  
Jinxin Liu ◽  
Longze Wang ◽  
...  
Keyword(s):  
Hybrid System ◽  
Energy Systems ◽  
Energy System ◽  
Vital Role ◽  
Pv System ◽  
Hybrid Energy ◽  
Cost Of Energy ◽  
System Components ◽  
Pv Generation

Solar energy has attracted the attention of researchers around the world due to its advantages. However, photovoltaic (PV) panels still have not attained the desired efficiency and economic mature. PV tracking techniques can play a vital role in improving the performance of the PV system. The aim of this paper is to evaluate and compare the technical and economic performance of grid-connected hybrid energy systems including PV and fuel cells (FC) by applying major types of PV tracking technique. The topology and design principles and technical description of hybrid system components are proposed in this paper. Moreover, this paper also introduces economic criteria, which are used to evaluate the economy of different PV tracking techniques and seek the optimal configuration of system components. In the case study, the results show that the vertical single axis tracker was ranked 1st in terms of highest PV generation, penetration of renewable energy to the grid, lowest CO2 emission, highest energy sold to the grid and lowest purchased, and lowest net present cost (NPC) and levelized cost of energy (LCOE). The study found that the optimal design of a grid-connected hybrid energy system (PV-FC) was by using a vertical single axis tracker which has the lowest NPC, LCOE.

scholarly journals Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 924 ◽  
Author(s):  
Pedro Bento ◽  
Hugo Nunes ◽  
José Pombo ◽  
Maria Calado ◽  
Sílvio Mariano
Keyword(s):  
Energy Systems ◽  
Energy System ◽  
Short Term ◽  
Operation Optimization ◽  
Hybrid Energy ◽  
Price Forecast ◽  
Hybrid Energy Systems ◽  
The Cost ◽  
Transportation Electrification ◽  
Installed Capacity

The scenario where the renewable generation penetration is steadily on the rise in an increasingly atomized system, with much of the installed capacity “sitting” on a distribution level, is in clear contrast with the “old paradigm” of a natural oligopoly formed by vertical structures. Thereby, the fading of the classical producer–consumer division to a broader prosumer “concept” is fostered. This crucial transition will tackle environmental harms associated with conventional energy sources, especially in this age where a greater concern regarding sustainability and environmental protection exists. The “smoothness” of this transition from a reliable conventional generation mix to a more volatile and “parti-colored" one will be particularly challenging, given escalating electricity demands arising from transportation electrification and proliferation of demand-response mechanisms. In this foreseeable framework, proper Hybrid Energy Systems sizing, and operation strategies will be crucial to dictate the electric power system’s contribution to the “green” agenda. This paper presents an optimal power dispatch strategy for grid-connected/off-grid hybrid energy systems with storage capabilities. The Short-Term Price Forecast information as an important decision-making tool for market players will guide the cost side dispatch strategy, alongside with the storage availability. Different scenarios were examined to highlight the effectiveness of the proposed approach.

scholarly journals Investigation of solar-powered drip irrigation: The case study of the Jordan Valley 

2017 ◽  
Vol 63 (No. 4) ◽  
pp. 168-171
Author(s):  
Perakis Christoforos ◽  
Kyriakarakos George ◽  
Hani Nabeel Bani ◽  
Hammad Shaker ◽  
Damasiotis Markos
Keyword(s):  
Drip Irrigation ◽  
Energy System ◽  
Electricity Production ◽  
Diesel Generator ◽  
Jordan Valley ◽  
Battery System ◽  
Electrical Grid ◽  
Solar Powered ◽  
The Cost

Agriculture is the sector that consumes by far most water globally. Much research efforts aim at minimizing losses through the use of drip irrigation. Rural agricultural areas often do not have access to a main electrical grid to power the pumps needed for drip irrigation; it reduces the options in paying for a grid extension, getting a diesel generator or investing in an off-grid renewable energy system. In this paper, these alternatives are assessed technically and economically under real world conditions through the Jordan Valley case study. The results show that the autonomous photovoltaic (PV)-battery system is preferable to the use of a diesel generator, as well as it is preferable to the main grid extension in many cases depending on the cost of grid electricity and distance from the grid. For current subsidized grid electricity retail price to farmers, the PV-battery system becomes more attractive above a 300 m distance from the grid, while if the actual cost of electricity production in Jordan is taken into account, then it breaks even to 128 m. 

scholarly journals Feasibility Study of Hybrid Wind-Diesel-Battery Power Generating Systems: Parametric and Sensitivity Analysis

2018 ◽  
Vol 171 ◽  
pp. 01004 ◽  
Author(s):  
Hussein Ibrahim ◽  
Mazen Ghandour ◽  
Georges El-Jamal
Keyword(s):  
Hybrid System ◽  
Fossil Fuels ◽  
Assessment Tool ◽  
Energy Generation ◽  
Energy System ◽  
Generation System ◽  
Hybrid Energy ◽  
Grid Connection ◽  
Hourly Data ◽  
Renewable Energy Generation

The renewables energies are being used to reduce the environmental pollution, combat the climate change and burning of fossil fuels. For remote or decentralized areas, where grid connection is very complex, renewable energy generation system can be a reliable and optimized source of energy. Moreover, wind-diesel-solar hybrid system technology promises lots of opportunities in remote areas which are far from the main grid and are supplied by diesel gensets. This paper is based on the analysis of a hybrid energy system for optimization. The analysis of the hybrid system is realized in the HOMER software package. The HOMER software was utilized as the assessment tool with modeling performed with hourly data of wind speed, solar radiation and load. In this study, the remote village of Tuktoyaktuk situated in Northwest Territories of Canada has been taken for the discussion of the optimization analysis of a hybrid energy generation system.

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