scholarly journals Strategic Hedging for System Risks of Generation Company

2002 ◽  
Vol 122 (4) ◽  
pp. 684-690
Author(s):  
Hiroaki Tanaka ◽  
Yoshio Ichida ◽  
Masanori Akiyoshi
Author(s):  
Robert R. Richwine ◽  
Michael Joseph ◽  
Charles Huguenard ◽  
Hafeez Baksh ◽  
Mike Elenbass

This paper describes the process used by the Power Generation Company of Trinidad and Tobago (PowerGen) to estimate the range of major (expenditures greater than US$50,000) recurring and non-recurring costs that can be expected to be incurred from 2006–2025 by PowerGen’s three existing generating facilities: Port of Spain, Point Lisas and Penal. Since many of these Capital and O&M costs are not 100% certain, a probabilistic approach was used that incorporates a Monte Carlo methodology. The results of this approach allowed PowerGen to better understand the range of possible major capital and O&M expenditures that would likely be required over the next 20 years along with a quantification of the risk profile of those ranges. By adding these costs to the routine O&M costs, a total cost cash flow timeline was able to be developed that more realistically forecast the actual financial requirements of PowerGen’s power plants. Periodic review and updates of the data will also provide PowerGen with a continuing sound basis for long term technical and financial decisions. Additionally, a benchmarking analysis was performed that compared the reliability trends of similar but older technologies to those plants in PowerGen’s fleet in order to gain an insight into the reliability expectations for PowerGen plants over the next twenty years.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2397
Author(s):  
Reinaldo Crispiniano Garcia ◽  
Javier Contreras ◽  
Matheus de Lima Barbosa ◽  
Felipe Silva Toledo ◽  
Paulo Vinicius Aires da Cunha

In electricity markets, bilateral contracts (BC) are used to hedge against price volatility in the spot market. Pricing these contracts requires scheduling from either the buyer or the seller aiming to achieve the highest profit possible. Since this problem includes different players, a Generation Company (GC) and an Electricity Supplier Company (ESC) are considered. The approaches to solve this problem include the Nash Bargaining Solution (NBS) equilibrium and the Raiffa–Kalai–Smorodinsky (RKS) bargaining solution. The innovation of this work is the implementation of an algorithm based on the RKS equilibrium to find a compromise strategy when determining the concessions to be made by the parties. The results are promising and show that the RKS approach can obtain better results compared to the Nash equilibrium method applied to a case study.


2020 ◽  
Vol 49 (1) ◽  
pp. 82-105 ◽  
Author(s):  
Jeremy Garlick ◽  
Radka Havlová

Drawing on the literature on strategic hedging and adapting it to China’s use of economic diplomacy in the service of comprehensive national security goals within the regionalised foreign policy approach of the Belt and Road Initiative (BRI), we examine China’s approach to securing and expanding its interests in the Persian Gulf. To implement the trade and infrastructure connectivity goals of the BRI and to secure the continued flow of diversified energy supplies, China needs to boost relations with both regional powerhouses, Iran and Saudi Arabia, without alienating either of them or the regional hegemon, the United States. The resulting strategy of strategic hedging is based in the Chinese approach to economic diplomacy, which utilises Chinese commercial actors in the service of national strategic objectives. Relations require careful and ongoing management if China is to achieve outcomes which benefit all sides while avoiding becoming entangled in the region’s intractable geopolitical problems.


2014 ◽  
Vol 521 ◽  
pp. 476-479 ◽  
Author(s):  
Guo Zhong Liu

The impacts of Emission trading on building the optimal bidding strategy for a generation company participating in a day-ahead electricity market is investigated. The CO2 emission price in an emissions trading market is evaluated by using an optimization approach similar to the well-developed probabilistic production simulation method. Then upon the assumption that the probability distribution functions of rivals bidding are known, a stochastic optimization model for building the risk-constrained optimal bidding strategy for the generation company in the framework of the chance-constrained programming is presented. Finally, a numerical example is served for demonstrating the feasibility of the developed model and method, and the optimal bidding results are compared for the two situations with and without the CO2 emissions trading.


2013 ◽  
Vol 765-767 ◽  
pp. 3215-3219
Author(s):  
Xiang Bo Xu ◽  
Chao Xu

In distribution market, because there are a lot of uncertainty factors such as price and load, so it is a big problem to balance benefit and risk for generation and distribution companies. Since they are both inclined to avoid the market risk, in order to make the most profit for both companies, a purchase and sell model in distribution market based on contract is proposed in this paper. And a power repurchase term is added in the contract to avoid the risk incurred by load fluctuation. Using CVaR(conditional risk at value) as the risk measuring criterion, a two-layer schedule model is set up to simulate the sale and purchase behaviors of generation and distribution companies. And the optimal power sale price for generation company and optimal power purchase quantity for distribution company are calculated by this model. As the case shows, by setting the different risk level, their market characteristics and relationship also change but always follow the risk avoiding rule. So the model can reduce the risk in distribution market for both companies under certain conditions.


2005 ◽  
Vol 20 (3) ◽  
pp. 1379-1388 ◽  
Author(s):  
J. Cabero ◽  
A. Baillo ◽  
S. Cerisola ◽  
M. Ventosa ◽  
A. Garcia-Alcalde ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document