scholarly journals Bidding strategy for the coordinated operation of wind power plants and NGG-P2G units in the electricity market

2021 ◽  
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Bidding Strategy ◽  
Wind Power Plants

scholarly journals Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies

2017 ◽  
Author(s):  
Linda Ponta ◽  
Luca Oneto ◽  
Davide Anguita ◽  
Silvano Cincotti
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Weather Condition ◽  
Weather Conditions ◽  
Fixed Time ◽  
Important Variable ◽  
Electricity Price ◽  
Maintenance Schedule ◽  
Wind Power Plants

The paper deals with the problem of choosing the best O&M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&M scheduling. Another important variables that is often neglected by the existing maintenance theory is the weather condition. This paper proposes a new strategy that takes into account the electricity price and weather conditions, improves the expected profit of the systems, and reduce the overall maintenance and logistic costs. The maintenance schedule is formalized as an optimization problem where the discounted cumulative profit of a wind generation portfolio in a fixed-time horizon (e.g. two years ahead), subject to the technologically-derived maintenance time constraints is optimized. Both the theoretical and computational aspects of the proposed O&M strategy are discussed. Results show that taking into account market and weather opportunities in the design of the maintenance strategy, it is possible to achieve a more complete scheduling for a given set of wind power plants.

Optimal location and rating of wind power plants in competitive electricity market

2017 ◽  
Vol 9 (4) ◽  
pp. 043306 ◽  
Author(s):  
Anuj Banshwar ◽  
Naveen Kumar Sharma ◽  
Yog Raj Sood ◽  
Rajnish Shrivastava
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Optimal Location ◽  
Wind Power Plants

scholarly journals Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhongfu Tan ◽  
Qingkun Tan ◽  
Yuwei Wang
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Bidding Strategy ◽  
Virtual Power ◽  
Power Station ◽  
Virtual Power Plant ◽  
Virtual Power Plants

For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind power. Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable, the fluctuation range of the day-ahead energy market and capacity price is stochastically variable. If the capacity of the storage station is large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate in the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. The model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is valid.

Optimizing Synergy of Utility-Scale Wind and Pumped-Hydro Storage

2013 ◽  
Author(s):  
A. Singh ◽  
F. Wolff ◽  
N. Chokani ◽  
R. S. Abhari
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Wind Farm ◽  
Renewable Energy Sources ◽  
Electricity Production ◽  
Decision Algorithm ◽  
Wind Power Plants ◽  
Farm Operators ◽  
Storage Facilities

The increased penetration of wind-generated electricity exposes wind farm operators to market risks of a balanced supply in the transmission grid. In order to reduce the risks and to gain financial advantage for wind farm operators, the use of pumped hydro storage to adjust the delivery schedule of energy is proposed. An approach that systematically and rapidly addresses the economic, infrastructural, geographic and meteorological factors relevant to wind power plants and pumped hydro storage over large areas is required. An integrated Geographic Information System-based tool is developed to identify, on the scale of a country, wind power plants and pumped hydro storage facilities. Further, a decision algorithm that has inputs of the forecasted and actual wind energy productions, and the day-ahead and intraday electricity market prices is also developed to optimise the use of pumped hydro storage. This approach is demonstrated for Germany, with the target of increasing electricity production from renewable energy sources. A countrywide portfolio of wind power plants that meets the increased electricity production target, and existing and potential pumped hydro storage facilities are identified. By optimizing the use of pumped hydro storage, it is shown that wind farm operators can achieve a 2–4% gain on the Internal Rate of Return on investments. The improved financial performance with the use of pumped hydro storage increases the attractiveness for investments in the wind power sector and mitigates the adverse effects of the variability in the dispatch of wind-generated electricity.

Evaluating the relative operational performance of wind power plants in Indian electricity generation sector using two-stage model

2021 ◽  
pp. 0958305X2110435
Author(s):  
Rajeev Kumar ◽  
Pavan Khetrapal ◽  
Manoj Badoni ◽  
Sourav Diwania
Keyword(s):  
Data Envelopment Analysis ◽  
Wind Energy ◽  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Production Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
Two Stage ◽  
Wind Power Plants

Nowadays, to fulfill growing power requirements at reasonable prices, like other European countries, the Indian electricity market is now more oriented towards renewable energy resources. Today, the wind energy industry has grown from a marginal activity to a multi-billion-dollar business in India's power production sector because of its comparatively safer and positive environmental features. Though, there are several wind energy power plants generating electricity in India's different geographical locations, assessing their performance is a crucial task and an important target for stakeholders. In the present study, an attempt is made to quantitatively assess the relative operational efficiencies of 14 wind power plants in India during 2016–2017 to 2019–2020 employing a two-stage data envelopment analysis Tobit model. Further, the sensitivity analysis is implemented in the present study to assess the robustness and efficacy of the data envelopment analysis models with different combinations of inputs and outputs. Data envelopment analysis results indicate that 14% of India's wind power plants were operated at the most productive scale during the observed period 2016–2017 to 2019–2020. The Tobit regression results indicate that the wind turbines’ age adversely affects production efficiency. In contrast, the site elevation has a significant positive impact on the operational efficiency of wind power plants. Findings from the present study may help stakeholders and policy regulators in the wind industry to identify the key factors influencing the performance of ongoing wind power plants in India and optimize operational strategies and policies.

The territory of the Russian Federation is a rescue from the COVID-19 coronavirus

2020 ◽  
pp. 26-29
Author(s):  
Yu. Kozlov ◽  
R. Serebryakov
Keyword(s):  
Wind Power ◽  
Rural Areas ◽  
Small Area ◽  
Power Plants ◽  
Air Spring ◽  
Atmospheric Air ◽  
Large Cities ◽  
Wind Power Plants ◽  
The World ◽  
The Russian Federation

A new coronavirus pandemic is raging all over the world, especially in densely populated areas. Unlike most countries, more than half of the territory of Russia is not used by humans — which means that it is possible to settle large cities to avoid crowding people on a small area. The authors of the article consider wind power, namely vortex wind power plants, as a new source of energy that can be quickly and with less harm built in rural areas. The article also discusses the possibilities of an alternative Autonomous non-volatile installation "Air spring" for obtaining fresh water from atmospheric air.

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