scholarly journals The Competitive Effects of Transmission Infrastructure in the Indian Electricity Market

2021 ◽  
Vol 13 (2) ◽  
pp. 202-242
Author(s):  
Nicholas Ryan

The integration of markets may improve efficiency by lowering costs or reducing local market power. India, seeking to reduce electricity shortages, set up a new power market, in which transmission constraints sharply limit trade between regions. During congested hours, measures of market competitiveness fall and firms raise bid prices. I use confidential bidding data to estimate the costs of power supply and simulate market outcomes with more transmission capacity. Counterfactual simulations show that transmission expansion increases market surplus by 22 percent, enough to justify the investment. One-third of this gain is due to sellers’ response to a more integrated grid. (JEL H54, L13, L94, O13, Q41)

2021 ◽  
Vol 13 ◽  
pp. 6-12
Author(s):  
Bolin Zhang ◽  
Chong Shao ◽  
Chunxiang Yang ◽  
Xiaobin Zhang ◽  
Tianyu Zhang ◽  
...  

The electricity spot market can reflect the power supply and demand situation in real time through price signals, guiding users to shift peaks and fill valleys, and enhancing the level of new energy consumption. Gansu Province, one of the first pilot spot market provinces in China, has designed a bilateral spot market for generations and users. The power supply mode and grid operation mode will undergo changes according to the operation results of the power market to achieve the optimal allocation of power resources, thus posing a huge challenge to the original grid dispatching mode. The article analyses the dispatch management articulation model based on the high penetration of new energy grids in the power market reform, adapts the work focus after changes in the power market business, and explores efficient dispatching business processes for the power spot market to ensure a smooth transition of dispatching work and effective integration of the market business.


2021 ◽  
Vol 66 (1) ◽  
pp. 12-38
Author(s):  
Martin C. Schmalz

The literature on competitive effects of common ownership has grown at a fast rate in the past two years. Anticompetitive effects have been confirmed with alternative reduced-form and structural estimation methods, in different industries, geographies, and jurisdictions. Multiple independent studies have disproven early critiques of the literature. Other papers document the heterogeneity of common ownership effects on competition across markets and industries. Important advances were made on the study of the economic mechanisms and governance channels that implement anti-competitive incentives. New theory refines the interpretation of existing empirical work. Access to high-quality ownership and product-market data remains a bottleneck for meaningful research in the area.


2014 ◽  
Vol 627 ◽  
pp. 153-157
Author(s):  
Nawadee Srisiriwat ◽  
Chananchai Wutthithanyawat

The temperature distribution of hot air flow in heating zone of a rectangular duct has been investigated for drying application. The experimental set-up consists of a heater and a fan to generate the hot air flow in the range of temperature from 40 to 100°C and the range of air velocity between 1.20 and 1.57 m/s. An increase of the heater power supply increases the hot air temperature in the heating zone while an increase of air velocity forced by fan decreases the initial temperature at the same power supply provided to generate the hot air flow. The temperature distribution shows that the hot air temperature after transferring through air duct decreases with an increase of the length of the rectangular duct. These results are very important for the air flow temperature and velocity control strategy to apply for heating zone design in the drying process.


DYNA ◽  
2015 ◽  
Vol 82 (194) ◽  
pp. 160-169 ◽  
Author(s):  
Carlos Jaime Franco Cardona ◽  
Mónica Castañeda Riascos ◽  
Alejandro Valencia Arias ◽  
Jonathan Bermúdez Hernández

The energy "Trilemma" seeks to develop an electricity market which simultaneously ensures environmental quality, security of supply, and economic sustainability. The objective of this paper is to present the "Trilemma" energy as the latest trend in the design of energy policy. For this, a theoretical framework is presented in sections 2 and 3, in section 4 and 5 the importance of security of supply and economic sustainability are discussed, respectively. In section 6 the energy "trilemma" is presented, in section 7 a brief state of the art is showed. Finally in section 8, it is approached three different electricity markets. It is concluded that the regulator has passed in recent years from encouraging a liberalized market scheme, to promote a scheme based on intervention through policies that affect the market competitiveness but allow achieving its environmental goals.


2021 ◽  
Author(s):  
Talat Genc

Abstract This paper examines General Electric's new combined-cycle gas turbine GT11N2 M upgrade. The new technology provides operational flexibility and promises output and cost efficiencies. To investigate the benefis of this technology, we propose a power supply chain model and construct cost functions for generation and service and maintenance using actual market and firm level data. The upstream firm is General Electric (GE) who invests in GT11N2 generators. The investment results in innovation of GT11N2 M upgrade facilitating different operational modes and efficiencies. The downstream firm is TransAlta's Sarnia plant which utilizes this new technology to produce and sell electricity to residential, small business, industrial, and wholesale market customers in Ontario, Canada. We quantify equilibrium prices and outputs under various efficiency rates in costs of fuel, service, and maintenance. We find a large variation in electricity generation depending on which operational mode ("Maximum Continuous Load" or "Performance" or "Lifetime") of GT11N2 M is selected. Under a mixed usage of all modes, we expect 44% output expansion to the industrial customers and 0.2% sales increase in the Ontario wholesale electricity market. Under this mode, GE's price should go down by 0.4% due to fuel cost efficiency. If GE's cost was $2.8 per MWh, GE should have asked Trans-Alta an average price of $5.822 per MWh for service and maintenance prior to the new technology. With the new technology, GE should charge $5.502 per MWh to Trans Alta. While GE's sales to wholesale market are almost stable, the sales to industrial customers increase nonlinearly in downstream efficiency rates. This shows that the amount of greenhouse gas emissions will be largely impacted by the choice of operational mode and how long it is used.


Author(s):  
Kristīne Šeļepova

Raksta mērķis ir apzināt atjaunojamo energoresursu tiesisko regulējumu, tā atbalsta shēmas un problemātiku. Raksta autore skaidro, vai šo tiesību aizsardzības līmenis ir pietiekams, vai ir pieņemtas nepieciešamās materiālo tiesību normas, kā arī vai ir pietiekoši tiesiskie līdzekļi, kas nodrošina šo tiesību aizsardzības ievērošanu, kā arī nākamos soļus energoresursu liberalizācijas posmos. Use of renewable energy increases independence from imported energy, reduces greenhouse gas emissions, as well as increases security of energy supply. However, energy industry concedes that power becomes more vulnerable because of historical paradigms; independent power base is replaced with production from renewable energy sources. This is due to subsidies in the investment priority being cost-effective renewable resources projects. Thus, it is necessary to develop a solution defining how volatile and unpredictable renewable energy sources integrated into the European electricity market can be, while ensuring safe and uninterrupted power supply.


2021 ◽  
Author(s):  
Mihály Dolányi ◽  
Kenneth Bruninx ◽  
Jean-François Toubeau ◽  
Erik Delarue

In competitive electricity markets the optimal trading problem of an electricity market agent is commonly formulated as a bi-level program, and solved as mathematical program with equilibrium constraints (MPEC). In this paper, an alternative paradigm, labeled as mathematical program with neural network constraint (MPNNC), is developed to incorporate complex market dynamics in the optimal bidding strategy. This method uses input-convex neural networks (ICNNs) to represent the mapping between the upper-level (agent) decisions and the lower-level (market) outcomes, i.e., to replace the lower-level problem by a neural network. In a comparative analysis, the optimal bidding problem of a load agent is formulated via the proposed MPNNC and via the classical bi-level programming method, and compared against each other.


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