scholarly journals Electricity Price Distributions in Future Renewables-Dominant Power Grids and Policy Implications

2021 ◽  
Author(s):  
Dharik Mallapragada ◽  
Cristian Junge ◽  
Cathy Xun Wang ◽  
Johannes Pfeifenberger ◽  
Paul Joskow ◽  
...  
2021 ◽  
Author(s):  
Dharik Mallapragada ◽  
Cristian Junge ◽  
Cathy Xun Wang ◽  
Johannes Pfeifenberger ◽  
Paul L. Joskow ◽  
...  

2018 ◽  
Vol 246 ◽  
pp. 01043
Author(s):  
Peng Lu ◽  
Mo Li ◽  
Xiang Zhang ◽  
Yibo Zou ◽  
Shengmao Shu

The existing electric grid purchase ratio research focuses on the methods of various types of combinations of purchasing and selling business of electricity, and the methods of reasonable risk allocation between different businesses, First, it lacks the consideration of the sensitivity of customer requirements to electricity price changes . Second, it lacks the consideration of optimization of the revenue and risk of hydropower purchase in the provincial electric grid. Therefore, this paper establishes the multi-objective time-of-use power price model based on customer requirements for time-of-use power price response.It introduces a VaR-based risk assessment method. Also, it proposes a multi-objective optimization model that maximizes the expected revenue on electricity purchase and minimizes the risk of purchasing electricity. The electricity purchase ratio scheme and the electrictiy purchase risk scheme are jointly optimized to obtain the electric grid inter-provincial electrictiy purchase risk decision and the optimal electricity purchase ratio. The results show that the grid company will obtain greater economic benefits while avoiding risks as much as possible after using the power purchase optimization method of this paper.


2020 ◽  
Vol 22 (6) ◽  
pp. 1148-1164 ◽  
Author(s):  
Volodymyr Babich ◽  
Ruben Lobel ◽  
Şafak Yücel

Problem definition: Governments have adopted various subsidy policies to promote investment in renewable energy sources such as rooftop solar panels. The German government uses a feed-in-tariff policy that provides a guaranteed stream of payments for each unit of electricity generated by a household. In contrast, the U.S. government uses a tax-rebate policy that reduces the initial investment cost, and the household receives the retail price for the generated electricity. In this paper, we study the key practical factors that favor one policy over the other from the perspective of the government. These factors are the heterogeneity in the generating efficiency, the variability in the electricity price, and the variability in the investment cost. Academic relevance: Unlike the previous literature on the feed-in-tariff and tax-rebate policies, we focus on the effects of variability on a household’s investment timing. We identify the optimal policy for the government to manage the aggregate household investment, accounting for the heterogeneity in efficiency. Methodology: We consider an infinite-horizon, continuous-time model where the government moves first and announces either a feed-in tariff or a tax rebate. Then each household dynamically decides if and when to invest in a unit of solar panels. The objective of the government is to maximize the expected value of a subsidy policy, that is, the difference between the societal benefit of solar panel investments and the subsidy cost over time. Results: We characterize the timing of the investment decision of the households and the optimal subsidy parameters for the government. We identify which practical factors favor the feed-in-tariff or the tax-rebate policy. Policy implications: Our results suggest that a government should prefer the feed-in-tariff policy when the electricity price is highly uncertain. Intuitively, feed-in-tariff policy eliminates the price variability; thus, it removes the strategic delay in the investment. The tax-rebate policy should be adopted if the households are heterogeneous in generating efficiency, if the investment cost is highly variable, or if the price and cost uncertainty are positively correlated.


2022 ◽  
Vol 9 ◽  
Author(s):  
Houyin Long ◽  
Hong Zeng ◽  
Xinyi Lin

The Chinese government has adopted many policies to save energy and electricity in the chemical industry by improving technology and reforming its electricity market. The improved electricity efficiency and the electricity reform may indirectly reduce expected energy and electricity savings by decreasing the effective electricity price and the marginal cost of electricity services. To analyze the above issues, this paper employs the Morishima Elasticity of Substitution of the electricity cost share equation which is estimated by the DOLS method. The results show that: 1) There exists a rebound effect in the Chinese chemical industry, but it is quite large because the electricity price is being controlled by the government; 2) the reform of the electricity market reduces the rebound effect to 73.85%, as electricity price begins to reflect cost information to some extent; 3) there is still a lot of space for the reform to improve, and the rebound effect could be reduced further once the electricity price is adjusted to transfer the market information more correctly. In order to succeed in saving electricity and decreasing the rebound effect in the chemical industry, the policy implications are provided from perspectives of the improved energy efficiency and electricity pricing mechanism.


2019 ◽  
Vol 11 (17) ◽  
pp. 4648
Author(s):  
Ming Meng ◽  
Shucheng Wu ◽  
Jin Zhou ◽  
Xinfang Wang

The rapid growth of household electricity consumption is threatening the sustainable development of China’s economy and environment because of its impacts on the operation efficiency of the electric power system. To recognize the driving factors of the consumption growth and offer policy implications, based on the consumption-related data of 2015 and 2016, this research used the rank sum ratio (RSR) method to divide China’s 30 provinces into 5 groups and a logarithmic mean Divisia index (LMDI) algorithm to decompose the composition growth of each group into the quantitative contribution of each driving factor. The following conclusions were drawn from the empirical analysis. (1) The Yangtze basin is the most vigorous region of consumption growth and should be principally monitored. (2) Climate conditions have a remarkable impact on consumption growth and should be a key consideration when making differentiated household electricity policies. (3) The rebound effect has already appeared in a few of the most developed regions. Electricity price is an effective measure in dealing with this effect. (4) The improvement of the income level is the most important driving factor for consumption growth. (5) For provinces with high growth vitality, the change in the burden level of electricity expenditure prompts consumption growth. However, for provinces with low growth vitality, the situations are opposite. (6) The impacts of electricity price and population on consumption growth are negligible.


2020 ◽  
Vol 277 ◽  
pp. 115503 ◽  
Author(s):  
Azim Heydari ◽  
Meysam Majidi Nezhad ◽  
Elmira Pirshayan ◽  
Davide Astiaso Garcia ◽  
Farshid Keynia ◽  
...  

2000 ◽  
Vol 55 (7) ◽  
pp. 740-749 ◽  
Author(s):  
Ralph Swindle ◽  
Kenneth Heller ◽  
Bernice Pescosolido ◽  
Saeko Kikuzawa

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