The impact of emissions trading on electricity spot market price behavior

2012 ◽  
Vol 6 (3) ◽  
pp. 343-364 ◽  
Author(s):  
Matylda Jabłońska ◽  
Satu Viljainen ◽  
Jarmo Partanen ◽  
Tuomo Kauranne
Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3402 ◽  
Author(s):  
Rui Gao ◽  
Hongxia Guo ◽  
Ruihong Zhang ◽  
Tian Mao ◽  
Qianyao Xu ◽  
...  

The electricity spot market is now being implemented in China. Demand response, as a kind of flexible resource, is also being studied and explored for the constructed power market. Among the many demand response applications, the virtual power plant (VPP) as an aggregator of distributed energy resources (DERs), receives ever-increasing attention. However, the participation manner and related impacts of the VPP to the electricity spot market are still unknown within the current power market rules. Under this background, obeying the present trading rules of China’s electricity spot market, a two-stage dispatching model with optimized bidding and operating strategy in the day-ahead (DA) and real-time (RT) market for the VPP is proposed. In the designed model, the conditional risk value (CVaR) is adopted to address the risk encountered by the uncertainty of the electricity spot market price. The impact of the user-side over-deviated revenue mechanism (UORM) of the China spot market on the income of the VPP in the DA and RT market is also analyzed. For a full evaluation, different coefficients for the influence of DA and RT risk, UORM, and energy storage system (ESS) are tested to investigate their respective impacts on the revenue of the VPP. The simulation cases prove that the proposed method is helpful for the VPP to optimize DERs’ output in the electricity spot market according to its own risk preference.


Author(s):  
Saeed Mohajeryami ◽  
Milad Doostan ◽  
Seyedmahdi Moghadasi ◽  
Peter Schwarz

Abstract The electricity market is threatened by supply scarcity, which may lead to very sharp price spikes in the spot market. On the other hand, demand-side’s activities could effectively mitigate the supply scarcity and absorb most of these shocks and therefore smooth out the price volatility. In this paper, the positive effects of employing demand response programs on the spot market price are investigated. A demand-price elasticity based model is used to simulate the customer reaction function in the presence of a real time pricing. The demand achieve by DR program is used to adjust the spot market price by using a price regression model. SAS software is used to run the multiple linear regression model and MATLAB is used to simulate the demand response model. The approach is applied on one week data in summer 2014 of Connecticut in New England ISO. It could be concluded from the results of this study that applying DR program smooths out most of the price spikes in the electricity spot market and considerably reduces the customers’ electricity cost.


2020 ◽  
Vol 41 (01) ◽  
Author(s):  
Alexander Ryota Keeley ◽  
Ken’ichi Matsumoto ◽  
Kenta Tanaka ◽  
Yogi Sugiawan ◽  
Shunsuke Managi

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Fenglian Wang ◽  
Chia-Huei Wu ◽  
Sang-Bing Tsai ◽  
Yi-Zhang Jiang

The fierce competition among enterprises and disordered market price competition have affected the development of the whole regional economy. Government tax subsidies have always been regarded as the advantages of enterprise development, but the mechanism of the influence of government tax on regional economic development, especially the impact on market price, has not been explored. Based on the Bertrand competition, applying chaos control theory, considering the government revenue rate, the influence of government tax on the price behavior and market price stability is analyzed, and then the numerical simulation is carried out. The research shows that the price adjustment of enterprises is a complicated process and government tax is helpful to the stability of market price. The government tax rate increasing can increase the stable region of price equilibrium and reduce the bifurcation and chaos of the price game system.


2020 ◽  
Vol 41 (01) ◽  
Author(s):  
Alexander Ryota Keeley ◽  
Ken’ichi Matsumoto ◽  
Kenta Tanaka ◽  
Yogi Sugiawan ◽  
Shunsuke Managi

2021 ◽  
Vol 256 ◽  
pp. 02012
Author(s):  
Chengyuan Li ◽  
Limin Jang ◽  
Yu Qin

The emergence of Electricity Spot Market makes it possible that distributed electric heating equipment connect with the grid and participate in market competition as well. However, due to the functional limits, it is impossible for the power supply side to have a thorough understanding of the specific conditions of the load characteristics of the power user, and the user side will not take a global consideration of the real-time security and stability of the power grid. This paper focuses on the research about electricity consumption strategy of thermoelectric coupled load with the background of electricity spot market. The main works are as following: An operation strategy of consumer electric heating equipment based on electric spot market is proposed. Besides, an operation mode which responds to the market is obtained by analysing the time span of clearing nodes in power spot market and start-stop characteristics of distributed heat load equipment. Based on this, the operating cost control function of consumer electric heating load is designed, making it possible that the load follows changes of the clearing price under the premise of ensuring that the user’s heat demand is met within a day. Then we had a discussion about the impact of parameter changes on the operating strategy. With the help of the constraints of existing power grid, the operation strategy model of consumer electric heating equipment based on power spot market is realized.


2020 ◽  
Vol 185 ◽  
pp. 01017
Author(s):  
Sen Wang ◽  
Can Sun ◽  
Zhiyong Gan ◽  
Liansheng Zhou ◽  
Guilin Wang ◽  
...  

With the development of China’s electricity spot market, planned power and market power will coexist for a long time. At the same time, by avoiding the risk of market price fluctuation through medium and long-term market, spot market guarantees electricity balance and secure operation of the grid. The electricity market mechanism has an increasingly large influence on the operation and dispatching model of power system. In spot market, decoupling operation model of market and non-market power has a large influence on both supply and demand sides and improper dredging mechanism may cause significant settlement deviation. To solve this problem, the paper, taking a city in northern China as an example, analyzes the electricity spot market, compares the sources of difference fund of market and non-market power under decoupling and non-decoupling models and compares the pros and cons of coupling and decoupling. The paper also studies the disparity of difference fund and proposes advice adapted to the electricity spot market development of northern China.


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