The Effect of Electricity Prices on the Productive Efficiency of 39 State's Wind Power

2017 ◽  
Author(s):  
mit Saalam
Keyword(s):  
Wind Power ◽  
Productive Efficiency ◽  
Electricity Prices

scholarly journals Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia

2017 ◽  
Vol 67 ◽  
pp. 224-241 ◽  
Author(s):  
William Paul Bell ◽  
Phillip Wild ◽  
John Foster ◽  
Michael Hewson
Keyword(s):  
Wind Power ◽  
Order Effect ◽  
Electricity Prices

scholarly journals The impact of wind power on electricity prices

2016 ◽  
Vol 94 ◽  
pp. 474-487 ◽  
Author(s):  
Carlo Brancucci Martinez-Anido ◽  
Greg Brinkman ◽  
Bri-Mathias Hodge
Keyword(s):  
Wind Power ◽  
Electricity Prices ◽  
The Impact

scholarly journals Environmental Benefit and Investment Value of Hydrogen-Based Wind-Energy Storage System

2021 ◽  
Vol 9 ◽  
Author(s):  
Qing Xue ◽  
Zhen Wang ◽  
Yuqing Zhang
Keyword(s):  
Energy Storage ◽  
Wind Energy ◽  
Wind Power ◽  
Storage Systems ◽  
Storage System ◽  
Energy Storage System ◽  
Hydrogen Energy ◽  
Energy Storage Systems ◽  
Electricity Prices ◽  
Investment Value

Alongside the rapid expansion of wind power installation in China, wind curtailment is also mounting rapidly due to China’s energy endowment imbalance. The hydrogen-based wind-energy storage system becomes an alternative to solve the puzzle of wind power surplus. This article introduced China’s energy storage industry development and summarized the advantages of hydrogen-based wind-energy storage systems. From the perspective of resource conservation, it estimated the environmental benefits of hydrogen-based wind-energy storages. This research also builds a valuation model based on the Real Options Theory to capture the distinctive flexible charging and discharging features of the hydrogen-based wind-energy storage systems. Based on the model, simulation results, including the investment value and operation decision of the hydrogen energy storage system with different electricity prices, system parameters, and different levels of subsidies, are presented. The results show that the hydrogen storage system fed with the surplus wind power can annually save approximately 2.19–3.29 million tons of standard coal consumption. It will reduce 3.31–4.97 million tons of CO2, SO2, NOx, and PM, saving as much as 286.6–429.8 million yuan of environmental cost annually on average. The hydrogen-based wind-energy storage system’s value depends on the construction investment and operating costs and is also affected by the mean-reverting nature and jumps or spikes in electricity prices. The market-oriented reform of China’s power sector is conducive to improve hydrogen-based wind-energy storage systems’ profitability. At present, subsidies are still essential to reduce initial investment and attract enterprises to participate in hydrogen energy storage projects.

scholarly journals Insurance Contracts for Hedging Wind Power Uncertainty

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1376
Author(s):  
Guglielmo D’Amico ◽  
Fulvio Gismondi ◽  
Filippo Petroni
Keyword(s):  
Wind Power ◽  
Real Data ◽  
Markovian Process ◽  
Insurance Contract ◽  
Generation Process ◽  
Insurance Company ◽  
Electricity Prices ◽  
Insurance Contracts ◽  
Price Process ◽  
Data Application

This paper presents an insurance contract that the supplier of wind power may subscribe to with an insurance company in order to immunize his/her revenue against the volatility of wind power and prices. Based on empirical evidence, we found that wind power and electricity prices are correlated. Then, we adopted a joint stochastic process to model both time series, which is based on indexed semi-Markov chains for the wind power generation process and on a general Markovian process for the electricity price process. Using a joint stochastic model allows the insurance company to compute the fair premium that the wind power producer has to pay in order to hedge the risk against inadequate revenues. Recursive type equations are obtained for the prospective mathematical reserves of the insurance contract. The model and the validity of the results are illustrated through a real data application.

Wind Power and Electricity Prices at the PJM Market

2013 ◽  
Vol 28 (4) ◽  
pp. 3945-3953 ◽  
Author(s):  
Hugo A. Gil ◽  
Jeremy Lin
Keyword(s):  
Wind Power ◽  
Electricity Prices
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