Wind Power Plant and Power-to-Gas System Coupled With Natural Gas Grid Infrastructure: Techno-Economic Optimization of Operation

2015 ◽  
Author(s):  
Giulio Guandalini ◽  
Stefano Campanari
Keyword(s):  
Power Plant ◽  
Natural Gas ◽  
Wind Power ◽  
Optimal Operation ◽  
Mixed Integer ◽  
Wind Power Plant ◽  
Grid Infrastructure ◽  
Wind Park ◽  
Power To Gas ◽  
Wind Resource

In this work, the coupled operation of a wind park and a hydrogen power-to-gas (P2G) technology is addressed in order to improve dispatchability and profitability of the wind resource. Among many available storage technologies currently under development, the P2G was chosen because of its large storage capacity and fast response. In particular, oppositely to traditional storage approaches, the solution that considers the direct injection of hydrogen in the natural gas grid infrastructure could reduce investment costs and improve the renewable fraction of fuels. Economic optimal operation and installed P2G power are calculated solving a mixed-integer linear programming (MILP) problem. Performances of the main component (electrolysis unit) are modeled, including additional costs for start-up and partial load operation losses. Technical limits on both electric and natural gas grids are also included. Some assumptions on the economic rules governing the electric grid unbalance are made, according to possible evolutions of the regulation framework focused on EU and Italian system. The simulation is performed on hourly basis, assuming realistic forecasted and real power production profiles from an actual mid-size (30 MW) wind power plant, together with prices of electricity markets and gas production. A sensitivity analysis is also performed varying both economic and technical parameters. Whereas in some scenarios the technology is profitable with the current investment costs, a reduction of electrolyzer costs down to expected mid-term targets would lead to a stronger competitiveness in each scenario. The study aims at identifying the influence of main technical and economic parameters on the effectiveness of the power-to-gas technology. Results show how the proposed solution allows better exploiting the wind resource, although the net electricity production can decrease due to the production of hydrogen, suggesting the possibility to substantially oversize the wind park in order to cover the same electric load.

Proposal of a novel mixed integer linear programming model for site selection of a wind power plant based on power maximization with use of mixed type wind turbines

2019 ◽  
Vol 31 (5) ◽  
pp. 825-841 ◽  
Author(s):  
Emin Sertaç Ari ◽  
Cevriye Gencer
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Wind Turbine ◽  
Wind Power ◽  
Integer Linear Programming ◽  
Site Selection ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Energy Sources ◽  
Wind Power Plant

Several methods that have been developed to obtain energy, which is indispensable for life and whose necessity has increased geometrically in the course of time, are no longer sustainable. Therefore, human being has headed towards sustainable alternative energy sources. Wind has been one of the most interested renewable energy sources for human as of the beginning of the 20th century. This study focuses on one of the most important work items at the establishment phase of this important energy source, power plant site selection. Within the scope of linear programming perspective, two models were presented based on mixed integer linear programming. The first model provides employment of single-type wind turbine on the selected site, whereas the second model, which was developed within the current study, aims additional increase in total power output by allowing employment of multiple-type wind turbine on the selected site. The same region showed up as the most appropriate site to establish wind power plant as a result of both models of the study.

Optimal operation of battery for wind-storage hybrid power plant

2019 ◽  
Author(s):  
Kaushik Das ◽  
Anatole Louis Theodore Philippe Grapperon ◽  
Poul Ejnar Sørensen ◽  
Anca Daniela Hansen
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Optimal Operation ◽  
Forecast Errors ◽  
Wind Power Plant ◽  
Price Forecast ◽  
Hybrid Power Plant ◽  
Variable Renewable Energy Sources ◽  
And Storage

<div>In order to participate in energy market, variable renewable energy sources need to reduce the uncertainty of forecast errors. Inclusion of storage can be a viable option not only to minimize the penalties due to forecast uncertainties but also to maximize the revenue generation. This paper presents a</div><div>decision framework for respecting the market constraints and maximise the revenues of a wind and storage power plant. Wind power and price forecast are used in convex optimisation algorithm for making day ahead decisions on battery operation. This day ahead optimisation results feed to an algorithm for operating in the balancing market. Several scenarios and case studies have been simulated to assess the value of storage for revenue maximization of a wind power plant. The results show that proposed algorithms can increase the revenue by more than 10% compared to the operation of wind power plant without battery.</div>

scholarly journals Robust Optimal Operation Strategy for a Hybrid Energy System Based on Gas-Fired Unit, Power-to-Gas Facility and Wind Power in Energy Markets

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6131 ◽  
Author(s):  
Masoud Agabalaye-Rahvar ◽  
Amin Mansour-Saatloo ◽  
Mohammad Amin Mirzaei ◽  
Behnam Mohammadi-Ivatloo ◽  
Kazem Zare ◽  
...  
Keyword(s):  
Natural Gas ◽  
Wind Power ◽  
Energy System ◽  
Optimal Operation ◽  
Electricity Price ◽  
Bidding Strategy ◽  
Energy Market ◽  
Gas Consumption ◽  
Power To Gas ◽  
Uncertainty Environment

Gas-fired power units (GFUs) are the best technology in recent years due to lower natural gas prices, higher energy transformation performance, and lower CO2 emission, as compared to the conventional power units (CPUs). A permanent storage facility called power-to-gas (P2G) technology can provide adaptation of ever-increasing renewable energy sources (RESs) fluctuations in power system operations, as well as reduce dependency to buy natural gas from the gas network. High investment and utilization expenditures of state-of-the-art P2G technology do not lead to economically effective operation individually. Therefore, in the present paper, an integrated GFUs-P2G-wind power unit (WPU) system is proposed to determine its optimal bidding strategy in the day-ahead energy market. A robust optimization approach is also taken into account to accommodate the proposed bidding strategy within the electricity price uncertainty environment. This problem was studied by using a case study that included a P2G facility, GFU, and WPUs to investigate the effectiveness and capability of the proposed robust bidding strategy in the day-ahead energy market. Simulation results indicate that the obtained profit increase by introducing the integrated energy system, and the P2G facility has a significant effect on participating GFUs, which have gas-consumption limitations in order to achieve maximum profit. Moreover, as it can be said, the amount of purchased natural gas is decreased in the situations, which do not have any gas-consumption limitations. Furthermore, the proposed system’s operation in the robust environment provides more robustness against electricity price deviations, although it leads to lower profit. In addition, deploying P2G technology causes about 1% incrementation in the introduced system profit.

scholarly journals Optimal operation of battery for wind-storage hybrid power plant

2019 ◽  
Author(s):  
Kaushik Das ◽  
Anatole Louis Theodore Philippe Grapperon ◽  
Poul Ejnar Sørensen ◽  
Anca Daniela Hansen
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Optimal Operation ◽  
Forecast Errors ◽  
Wind Power Plant ◽  
Price Forecast ◽  
Hybrid Power Plant ◽  
Variable Renewable Energy Sources ◽  
And Storage

<div>In order to participate in energy market, variable renewable energy sources need to reduce the uncertainty of forecast errors. Inclusion of storage can be a viable option not only to minimize the penalties due to forecast uncertainties but also to maximize the revenue generation. This paper presents a</div><div>decision framework for respecting the market constraints and maximise the revenues of a wind and storage power plant. Wind power and price forecast are used in convex optimisation algorithm for making day ahead decisions on battery operation. This day ahead optimisation results feed to an algorithm for operating in the balancing market. Several scenarios and case studies have been simulated to assess the value of storage for revenue maximization of a wind power plant. The results show that proposed algorithms can increase the revenue by more than 10% compared to the operation of wind power plant without battery.</div>

scholarly journals Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3329 ◽  
Author(s):  
Carlos Méndez ◽  
Yusuf Bicer
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Natural Gas ◽  
Wind Turbine ◽  
Wind Power ◽  
Wind Farm ◽  
Oil And Gas ◽  
Environmental Benefits ◽  
Wind Power Plant

This study analyzes the possibility to use the wind’s kinetic energy to produce electricity in Northern Qatar for the natural gas processing industry. An evaluation of the wind potentiality is performed based on a thorough analysis of parameters such as wind speed and direction, temperature, atmospheric pressure, and air density. In addition, based on the measured parameters, a commercial wind turbine is selected, and a case study is presented in order to quantify the energy that a wind farm could produce and its environmental benefits. Furthermore, an economical assessment is made to quantify the repercussions that it could produce if this wind farm substitutes a fraction of the energy demand (within the oil and gas field) that is currently generated by traditional hydrocarbons. The results indicate that the environmental parameters, led by a 5.06 m/s wind speed mean, allow the production of wind energy in the area with an annual CO2 savings of 6.813 tons in a 17 MW wind power plant. This enables Qatar to reduce its internal oil and gas consumption. As a result, the amount of hydrocarbon (natural gas) saved could be used for exportation purposes, generating a positive outcome for the economy with a cost savings of about 3.32 million US$ per year through such a small size wind power plant. From the energy production point of view, the natural parameters enable a single wind turbine to produce an average of 6995.26 MWh of electricity. Furthermore, the wind farm utilized in the case study is capable of generating an average of 34.976 MWh in a year.

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