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Journal articles on the topic 'Electricity pricing mode'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Guo, Zishan, Zhenya Ji, and Qi Wang. "Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode." Energies 13, no. 19 (2020): 5213. http://dx.doi.org/10.3390/en13195213.

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Demand response (DR) can offer a wide range of advantages for electrical systems by facilitating the interaction and balance between supply and demand. However, DR always requires a central agent, giving rise to issues of security and trust. Besides this, differences in user response cost characteristics are not taken into consideration during incentive pricing, which would affect the equal participation of users in DR and increase the costs borne by the electricity retail company. In this paper, a blockchain-enabled DR scheme with an individualized incentive pricing mode is proposed. First, a

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2

Zhang, Sen Lin, Yan Ming Sun, Zhao Xia Jing, and Zheng Xin He. "Research on Transfer and Replacement Mechanism Design of Inter-Provincial Electricity Treatment in South China Electricity Market." Applied Mechanics and Materials 494-495 (February 2014): 1695–701. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1695.

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In the context of south china electricity market, the concept of contract transfer and replacement deal is set forth in advance which is specialized in electricity treatment. Then, the feasibility of conducting an inter-provincial contract transfer and replacement is analyzed according to the aspects of physical characteristics, economics and policies within the china southern power grid. In addition, the advantage and disadvantage are also presented in terms of bilateral negotiation and centralized biding transaction modes. After that, the pricing mechanism and transaction mode are deliberate

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Zhang, Xuejun. "Research on the Control Method of Short-term Transmission and Distribution Price Level." Journal of Physics: Conference Series 2029, no. 1 (2021): 012002. http://dx.doi.org/10.1088/1742-6596/2029/1/012002.

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Abstract In order to ensure the orderly competition in the power market, through a variety of measures to reduce the electricity cost of enterprises and users, and improve the service quality of power enterprises, this paper puts forward the research on the control method of the total level of short-term transmission and distribution price. Combined with the principle of “three sets and five big”, the power grid marketing system is established, the main responsibilities of customer service center are assigned, and the main factors affecting pricing are extracted by bird swarm algorithm. Combin

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Baig, Altamash Ahmad, and Alan S. Fung. "Impact of Carbon Pricing on Energy Cost Savings Resulting from Installation of Gas-Fired Absorption Heat Pump at A Library Building in Ontario." Proceedings 23, no. 1 (2019): 2. http://dx.doi.org/10.3390/proceedings2019023002.

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This paper presents the results of analyzing the potential benefits of a natural gas-fired absorption heat pump (GAHP) for a library building in Ontario in terms of energy savings, fuel cost savings, and reduction in greenhouse gas emissions. Simulation model for the library building was created in eQUEST and calibrated using the energy consumption data from the 2012–2014. The results for energy savings were analyzed to include the effect of implementation of carbon pricing. It was concluded that because of implementation of carbon pricing, the replacement of conventional heating equipment wit

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Lee, Eunji, and Hyokyung Bahn. "Electricity Usage Scheduling in Smart Building Environments Using Smart Devices." Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/468097.

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With the recent advances in smart grid technologies as well as the increasing dissemination of smart meters, the electricity usage of every moment can be detected in modern smart building environments. Thus, the utility company adopts different price of electricity at each time slot considering the peak time. This paper presents a new electricity usage scheduling algorithm for smart buildings that adopts real-time pricing of electricity. The proposed algorithm detects the change of electricity prices by making use of a smart device and changes the power mode of each electric device dynamically

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Kahawala, Sachin, Daswin De Silva, Seppo Sierla, et al. "Robust Multi-Step Predictor for Electricity Markets with Real-Time Pricing." Energies 14, no. 14 (2021): 4378. http://dx.doi.org/10.3390/en14144378.

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Real-time electricity pricing mechanisms are emerging as a key component of the smart grid. However, prior work has not fully addressed the challenges of multi-step prediction (Predicting multiple time steps into the future) that is accurate, robust and real-time. This paper proposes a novel Artificial Intelligence-based approach, Robust Intelligent Price Prediction in Real-time (RIPPR), that overcomes these challenges. RIPPR utilizes Variational Mode Decomposition (VMD) to transform the spot price data stream into sub-series that are optimized for robustness using the Particle Swarm Optimizat

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Xie, Jiaping, Lihong Wei, Weisi Zhang, Yu Xia, and Jing Li. "A Responsive Pricing Grid Operator Sourcing from Competing Generators under Uncertain Supply and Demand." Sustainability 11, no. 15 (2019): 4061. http://dx.doi.org/10.3390/su11154061.

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Electricity supply chains involve more sources of uncertainty than typical production and manufacturing supply chains, owing to the intermittent nature of renewable energy generation. Therefore, it is critical but challenging to mitigate supply disruption risks by improving management methods. The extant literature has mainly investigated the sourcing strategies of manufacturers with price-taking suppliers. Where there is an option to source from multiple generators, including regular but unreliable generators and reliable backup generators, a flexible sourcing strategy is usually regarded as

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8

Khan, Taimoor Ahmad, Kalim Ullah, Ghulam Hafeez, et al. "Closed-Loop Elastic Demand Control under Dynamic Pricing Program in Smart Microgrid Using Super Twisting Sliding Mode Controller." Sensors 20, no. 16 (2020): 4376. http://dx.doi.org/10.3390/s20164376.

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Electricity demand is rising due to industrialisation, population growth and economic development. To meet this rising electricity demand, towns are renovated by smart cities, where the internet of things enabled devices, communication technologies, dynamic pricing servers and renewable energy sources are integrated. Internet of things (IoT) refers to scenarios where network connectivity and computing capability is extended to objects, sensors and other items not normally considered computers. IoT allows these devices to generate, exchange and consume data without or with minimum human interve

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Tan, Li Juan, Cai Hong Zhao, Mai Zhang, Li Liu, Han Yi Li, and Xiao Chen. "Charging and Discharging Control Strategy of Electric Vehicles Based on V2G Mode." Advanced Materials Research 953-954 (June 2014): 1413–17. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1413.

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With the popularity of electric vehicles, the impact of charging power on the original grid load is increasingly prominent. Electric vehicles can realize the benign interaction with power grid through the V2G technology. The mathematical model is solved with genetic algorithm in this paper based on the objective function as the minimization of daily charging cost. Constraint conditions such as maximum charge and discharge power limits and state of charge are considered. By analyzing the charge and discharge control of single car and the influence of electric vehicles’ charge and discharge on p

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10

Jabbar, Muhammad Alif Miraj, Dat Thanh Tran, and Kyeong-Hwa Kim. "Distributed Secondary Control of DC Microgrid with Power Management Based on Time-of-Use Pricing and Internal Price Rate." Sustainability 16, no. 19 (2024): 8705. http://dx.doi.org/10.3390/su16198705.

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This paper presents a novel approach to manage distributed DC microgrids (DCMG) by integrating a time-of-use (ToU) electricity pricing scheme and an internal price rate calculation mechanism. The proposed power-management system is designed to effectively handle uncertainties such as utility grid (UG) availability, fluctuating electricity prices, battery state of charge (SOC) levels, and frequent plug-ins and plug-outs of electric vehicles (EVs). Uncertainties in DCMG systems often lead to inefficiencies, power imbalances, and inexact voltage regulation issues within DCMGs. In addition, to mai

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11

Zhu, Zhenning, Lingcheng Kong, Jiaping Xie, Jing Li, and Bing Cao. "Contract coordination optimization of a multi-power supplier-single dominant grid supply chain in hybrid electricity market." Industrial Management & Data Systems 119, no. 9 (2019): 1861–87. http://dx.doi.org/10.1108/imds-08-2018-0340.

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Purpose In the hybrid electricity market, renewable energy power generator faces the uncertainty of power market demand and the randomness of the renewable energy generation output. In order to improve the grid-connected quantity of green power, the purpose of this paper is to design the pricing mechanism for renewable energy power generator with revenue-sharing contract in a two-stage “multi-single” electricity supply chain which contains a single dominant power retailer and two kinds of power suppliers providing different power energy species. Design/methodology/approach Considering the dual

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Zhang, Q., and M. Assadi. "Day-ahead optimal scheduling of micro gas turbine-based microgrid considering electricity and heating energy." IOP Conference Series: Materials Science and Engineering 1294, no. 1 (2023): 012055. http://dx.doi.org/10.1088/1757-899x/1294/1/012055.

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Abstract Microgrids are considered as the crucial element in the integration of various distributed energy resources in buildings. They are capable of operating in both grid-connected and islanded mode and have shown immense potential in absorbing renewable energy. However, the widespread implementation of intermittent renewable energy sources, coupled with variable electricity pricing, has significantly increased the operation uncertainty of microgrids. This paper presents an analysis of the operation strategies of an integrated energy system that includes a micro gas turbine, a ground source

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Li, Wei, Xiaolei Cheng, Yuying Gong, et al. "The Generation Rights Trading between Self-Owned Power Plants and New Energy Enterprises under the Conditions of Price Difference and Time-of-Use Pricing Settlement." Electronics 13, no. 19 (2024): 3908. http://dx.doi.org/10.3390/electronics13193908.

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Currently, the proportion of enterprise self-owned power plants (SPPs) is increasing, with a significant share occupied by small coal-fired units, severely affecting the absorption of new energy and causing substantial pollution. To address this issue, developing generation rights trading between SPPs and new energy enterprises is an effective solution. At present, research on generation rights trading is mainly based on early water and thermal generation rights replacement trading. This approach, to some extent, overlooks changes in electricity market policies. Based on this, a new generation

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Olexander, Shavolkin, Shvedchykova Iryna, and Mohmed Jasim Jasim Jasim. "Improved control of energy consumption by a photovoltaic system equipped with a storage device to meet the needs of a local facility." Eastern-European Journal of Enterprise Technologies 2, no. 8 (110) (2021): 6–15. https://doi.org/10.15587/1729-4061.2021.228941.

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This paper has considered improving the management of energy consumption by a photovoltaic system with a storage device for a local object connected to the network. The aim of the study is to reduce expenditures when paying for electricity consumed from the network, when loading an object, independent of the time of year, and to eliminate energy generation to the grid. An energy generation control algorithm has been improved whereby the state of battery charge during the day is based on a forecast. That could reduce electricity consumption at night with better utilization of rechargeable

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15

Derii, Volodymyr. "ELECTRIC ENERGY STORAGES." System Research in Energy 2023, no. 1 (2023): 12–24. http://dx.doi.org/10.15407/srenergy2023.01.012.

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The article provides an analytical review of reverse-acting electric energy storage devices that can be used to solve systemic problems of the United Energy System of Ukraine. The need for the use of electric energy storage is due to the existing shortage of maneuverable capacities of the United Energy System and the construction of solar and wind power plants, which, due to the stochastic mode of operation, are a significant destabilizing factor. Due to the lack of market pricing mechanisms, the possibility of adjusting the rates of the "green" tariff, and the decrease in the cost of solar an

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Parashar, Aadarsh, and Rob J. Braun. "Scenarios for Hydrogen Production from a Full-Scale Reversible Solid Oxide System with Electrolyte-Supported Stacks." ECS Meeting Abstracts MA2023-01, no. 54 (2023): 116. http://dx.doi.org/10.1149/ma2023-0154116mtgabs.

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Reversible solid oxide cell technology is of increasing interest and is emerging as a promising grid-flexible support system [1] with storage [2]. Among the types of cell architecture available, electrolyte-supported cells have proven to be better in terms of long-term stability and degradation of the cell, albeit sacrificing on performance as compared to anode-supported cells [3]. This makes electrolyte-supported cells better suited architecture to be used in reversible systems where higher stability is required due to the changing operating conditions in each mode. In the present work, valid

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Zahraoui, Younes, Tarmo Korõtko, Argo Rosin, and Hannes Agabus. "Market Mechanisms and Trading in Microgrid Local Electricity Markets: A Comprehensive Review." Energies 16, no. 5 (2023): 2145. http://dx.doi.org/10.3390/en16052145.

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Electricity generation using distributed renewable energy systems is becoming increasingly common due to the significant increase in energy demand and the high operation of conventional power systems with fossil fuels. The introduction of distributed renewable energy systems in the electric grid is crucial for delivering future zero-emissions energy systems and is cost-effective for promoting and facilitating large-scale generation for prosumers. However, these deployments are forcing changes in traditional energy markets, with growing attention given to transactive energy networks that enable

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Tran, Viet Thang, Kashem M. Muttaqi, and Danny Sutanto. "A Robust Power Management Strategy With Multi-Mode Control Features for an Integrated PV and Energy Storage System to Take the Advantage of ToU Electricity Pricing." IEEE Transactions on Industry Applications 55, no. 2 (2019): 2110–20. http://dx.doi.org/10.1109/tia.2018.2884622.

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Spanoudakis, Nikolaos I., Charilaos Akasiadis, Georgios Iatrakis, and Georgios Chalkiadakis. "Engineering IoT-Based Open MAS for Large-Scale V2G/G2V." Systems 11, no. 3 (2023): 157. http://dx.doi.org/10.3390/systems11030157.

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In this paper, we aimed to demonstrate how to engineer Internet of Things (IoT)-based open multiagent systems (MASs). Specifically, we put forward an IoT/MAS architectural framework, along with a case study within the important and challenging-to-engineer vehicle-to-grid (V2G) and grid-to-vehicle (G2V) energy transfer problem domain. The proposed solution addresses the important non-functional requirement of scalability. To this end, we employed an open multiagent systems architecture, arranging agents as modular microservices that were interconnected via a multi-protocol Internet of Things pl

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G.Umale, V., Dr S.B.Warkad, S. Wadhankar, and H. S.Sakhare. "Optimal Pricing of Electricity in Restructured Electricity Market." International Journal of Engineering & Technology 7, no. 4.5 (2018): 389. http://dx.doi.org/10.14419/ijet.v7i4.5.20189.

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An effective pricing scheme that to provide the useful information to generation, transmission section and customers. These transmission pricing depends on generator, load levels and transmission line constraints. Transmission line constraints result is variations in energy prices throughout the network. The proposed approach is based on AC-DC optimal power flow model with considering of losses. Resulting optimization problem is solved by linear programming approach. Locational Marginal Pricing methodology is used to determine the energy price for transacted power and to manage the network con

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Zhang, Hui Juan, Zhong Fu Tan, Hui Xu, and He Yin. "Research on Optimization Model and Generation Coal-Saving Effect of Tiered Pricing of Household Electricity Structures." Applied Mechanics and Materials 389 (August 2013): 126–30. http://dx.doi.org/10.4028/www.scientific.net/amm.389.126.

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For a long time, there is serious cross-subsidization among the power sales prices in China, and tiered pricing of household electricity is a new price measure for power consumption equity, resources utilization rationality and then achieving resources conservation and environmental protection. Based on demand side response theory, the optimization model of tiered pricing of household electricity with objective function of minimum household electricity consumption was built, and the coal-saving effect of tiered pricing was studied. The results of case study indicate that energy and coal saving

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Prabakaran, Sellamuthu. "Description of Colombian Electricity Pricing Derivatives." International Journal of Finance Research 2, no. 3 (2021): 191–211. http://dx.doi.org/10.47747/ijfr.v2i3.394.

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Electricity markets are becoming a popular field of research amongst academics because of the lack of appropriate models for describing electricity price behavior and pricing derivatives instruments. Models for price dynamics must consider seasonality and spiky behavior of jumps which seem hard to model by standard jump process. Without good models for electricity price dynamics, it is difficult to think about good models for futures, forward, swaps and option pricing. In this paper we attempt to introduce an algorithm for pricing derivatives to intuition from Colombian electricity market. The

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23

Hu, Zhengbiao, Dongfeng He, Wei Song, and Kai Feng. "Model and Algorithm for Planning Hot-Rolled Batch Processing under Time-of-Use Electricity Pricing." Processes 8, no. 1 (2020): 42. http://dx.doi.org/10.3390/pr8010042.

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Batch-type hot rolling planning highly affects electricity costs in a steel plant, but previous research models seldom considered time-of-use (TOU) electricity pricing. Based on an analysis of the hot-rolling process and TOU electricity pricing, a batch-processing plan optimization model for hot rolling was established, using an objective function with the goal of minimizing the total penalty incurred by the differences in width, thickness, and hardness among adjacent slabs, as well as the electricity cost of the rolling process. A method was provided to solve the model through improved geneti

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Asemota, Godwin Norense Osarumwense. "A Prediction Model of Future Electricity Pricing in Namibia." Advanced Materials Research 824 (September 2013): 93–99. http://dx.doi.org/10.4028/www.scientific.net/amr.824.93.

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The shortage of local electricity generation capacity coupled with increasing reliance on South Africa, from which it imports about forty-eight (48%) percent of its electricity, and another five (5%) percent from Zambia, Zimbabwe and other short term energy markets constitute the major shortcomings of electricity industry in Namibia.Therefore, price stability and volatility indices of electricity can directly impact on the developmental imperatives of any nation. This is so because the quality, quantity and pricing of electricity available to the citizenry have become the common denominators f

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Dzyuba, Anatolyy, Irina Solovyeva, and Aleksandr Semikolenov. "Raising the Resilience of Industrial Manufacturers through Implementing Natural Gas-Fired Distributed Energy Resource Systems with Demand Response." Sustainability 15, no. 10 (2023): 8241. http://dx.doi.org/10.3390/su15108241.

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The use of relatively small-scale distributed electric power generation sources is one of the key focus areas in the development of global industry and regional power generation. By integrating distributed generation sources into their on-site energy infrastructure, industrial consumers gain new characteristics and possibilities as entities of the power system that do not only consume power, but in fact can flexibly generate and deliver electricity to local and even centralized grids. This type of entity is called a distributed energy resource system with demand response (Russian: ‘active ener

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Thomas, J., Ashok S., and T. L. Jose. "A Pricing Model for Biomass-based Electricity." Energy Sources, Part B: Economics, Planning, and Policy 10, no. 1 (2014): 103–10. http://dx.doi.org/10.1080/15567249.2010.511513.

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LOGATSKIY, Victor. "IMPROVEMENT OF THE TARIFF POLICY IN THE ELECTRIC POWER INDUSTRY TO ACHIEVE SECTORAL AND MACROECONOMIC BALANCES." Economy of Ukraine 2019, no. 3 (2019): 3–21. http://dx.doi.org/10.15407/economyukr.2019.03.003.

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The problems of formation of tariff policy under conditions of transition to a new model of the electricity market in Ukraine and introduction of incentive pricing in the electric power industry are considered. The main shortcomings of the existing electricity market model are identified, as well as the institutional structure and functional interaction of market segments of a new market model based on free pricing for electricity as a commodity. The attention is paid to the fact that in order to achieve sectoral and macroeconomic balance, it is necessary to properly justify prices for electri

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Li, Tong, Yuheng Li, Junpeng Gao, Benhua Qian, and Hai Zhao. "A Reputation-Based Pricing Strategy for Distributed Diverse Entity Systems: Enhancing Market Efficiency Through Real-Time Reputation Updates." Sustainability 16, no. 24 (2024): 11216. https://doi.org/10.3390/su162411216.

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Although existing studies address the reduction of default rates by adjusting electricity trading rankings based on reputation values, the mechanisms for penalizing electricity trading defaults remain incomplete. Therefore, this paper proposes a real-time reputation-based pricing method for distributed diverse entity systems to mitigate electricity trading defaults. First, a reputation reward and penalty mechanism evaluates the trading behavior of diverse entities. Next, a ‘price-dominant, reputation-auxiliary’ pricing concept guides the process. Following this, a reputation-driven pricing str

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Cui, Hui, Guodong Huang, Jingyang Zhou, et al. "Research on the Construction Method of Inter-Provincial Spot Trading Network Model Considering Power Grid Congestion." Energies 18, no. 7 (2025): 1747. https://doi.org/10.3390/en18071747.

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This study proposes a full-cost electricity pricing model (M3) based on power flow tracing, addressing limitations in traditional nodal pricing and postage stamp methods. M3 dynamically allocates fixed transmission costs based on actual grid utilization, improving fairness, price signal accuracy, and congestion management. The model achieves fast convergence within 20 iterations across tested networks. Sensitivity analysis confirms that fuel costs and load variations significantly impact pricing, making M3 more adaptive and responsive. A regression-based forecasting model further enhances pric

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Liu, Jiaqi, Hongji Hu, Samson S. Yu, and Hieu Trinh. "Electricity Pricing and Its Role in Modern Smart Energy System Design: A Review." Designs 7, no. 3 (2023): 76. http://dx.doi.org/10.3390/designs7030076.

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Energy is the foundation for human survival and socio-economic development, and electricity is a key form of energy. Electricity prices are a key factor affecting the interests of various stakeholders in the electricity market, playing a significant role in the sustainable development of energy and the environment. As the number of distributed energy resources (DERs) increases, today’s power systems no longer rely on a vertical market model and fixed electricity pricing scheme but instead depend on power dispatch and dynamic pricing to match supply and demand. This can help prevent significant

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Yang Tang. "Design and Pricing Analysis of Electricity Retail Package System Based on Single Pendulum Equation." Journal of Electrical Systems 20, no. 5s (2024): 2395–402. http://dx.doi.org/10.52783/jes.2672.

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The electricity retail industry is becoming increasingly competitive, and retailers are looking for innovative ways to attract and retain customers. One potential strategy is to offer retail packages that include electricity pricing based on the single pendulum equation (SPE). This article discusses the design of a retail package system for electricity retailers based on the SPE. The system utilizes real-time data on electricity supply and demand to create a dynamic pricing system that adjusts prices based on changes in the market. This article present the single pendulum equation model and da

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Wu, Mian, Zhaoxia Jing, Xiaogang Li, Min Wu, and Zhongyang Chen. "A transmission product system and pricing mechanism suitable for multi-level electricity markets." Journal of Physics: Conference Series 3000, no. 1 (2025): 012023. https://doi.org/10.1088/1742-6596/3000/1/012023.

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Abstract With the acceleration of the construction of a unified electricity market in China, there is an urgent need to improve the existing transmission pricing mechanism to meet the trading needs of a multi-level unified electricity market. The existing transmission pricing methods have shortcomings, such as affecting the efficiency of resource optimization and reducing the stability of the full recovery cost of the power grid. This article proposes a transmission product system and pricing mechanism suitable for multi-level electricity markets, defines standardized transmission service prod

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Seitaridis, Michail I., Nikolaos S. Thomaidis, and Pandelis N. Biskas. "Fundamental Responsiveness in European Electricity Prices." Energies 14, no. 22 (2021): 7623. http://dx.doi.org/10.3390/en14227623.

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We estimate fundamental pricing relationships in selected European day-ahead electricity markets. Using a fractionally integrated panel data model with unobserved common effects, we quantify the responsiveness of hourly electricity prices to two fundamental leading indicators of day-ahead markets: the predicted load and renewable generation. The application of fractional cointegration analysis techniques gives further insight into the pricing mechanism of power delivery contracts, enabling us to measure the persistence of fundamental shocks.

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Makrygiogou, Jemma (Dimitra) J. "The electricity market in Greece: current status, identified challenges and arranged reforms." Electricity market in Greece: current status, identified challenges and arranged reforms. 15, no. 4 (2024): 3767. https://doi.org/10.5281/zenodo.11500480.

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<strong>Journal paper </strong>about the current electricity market status in Greece, the identified challenges, and the future steps, based on the information gathered in the framework of the<strong> OneNet project WP8 </strong>and specifically <strong>D8.1</strong>: <em>Requirement’s specification of the pilot projects in Greece and Cyprus</em>. The manuscript has been published in the <strong>MDPI Sustainability Journal</strong>. Abstract: The approach of an integrated electricity market is widespread across Europe, since such a market structure has numerous benefits for both grid and

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Wang, Yubo, and Weiqing Sun. "A Two-Stage Robust Pricing Strategy for Electric Vehicle Aggregators Considering Dual Uncertainty in Electricity Demand and Real-Time Electricity Prices." Sustainability 16, no. 9 (2024): 3593. http://dx.doi.org/10.3390/su16093593.

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To enable the regulation and utilization of electric vehicle (EV) load resources by the power grid in the electricity market environment, a third-party electric vehicle aggregator (EVA) must be introduced. The strategy of EVA participation in the electricity market must be studied. During operation, the EVA faces a double uncertainty in the market, namely, electricity demand and electricity price, and must optimize its market behavior to protect its own interests. To achieve this goal, we propose a robust pricing strategy for the EVA that takes into account the coordination of two-stage market

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Li, Yin, Xu Wang, and Qi Qin. "Comparative Analysis of Carbon Tax and Carbon Market Strategies for Facilitating Carbon Neutrality in China’s Coal-Fired Electricity Sector." Sustainability 17, no. 5 (2025): 1961. https://doi.org/10.3390/su17051961.

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Carbon taxes and carbon markets both contribute to mitigating carbon emissions in China’s power industry. Nevertheless, the pricing mechanism within China’s national carbon market, confined solely to the power sector, faces challenges in accurately reflecting the diverse costs of emission-reduction efforts across various regions. Similarly, carbon taxes encounter difficulties in effectively harnessing the inherent emission-reduction capabilities of power enterprises. This study investigates which carbon-pricing mechanism—a carbon tax or the carbon market—can better promote carbon neutrality in

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Dzyuba, A. P., and A. V. Semikolenov. "Model of active energy complexes management in integration with electricity demand management technology." Surgut State University Journal 12, no. 4 (2024): 8–26. https://doi.org/10.35266/2949-3455-2024-4-1.

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The article focuses on developing a management model for active energy complexes. Industrial enterprises utilize these complexes, and their management integrates with demand response technology. The authors analyze the mechanisms of pricing for electricity supply for all segments of the electricity cost: the cost of electricity, the cost of electric capacity, the cost of electricity transmission services, formed taking into account the unevenness of demand schedules for electricity consumption. The structures of factors influencing the unevenness of demand for electricity consumption at an ind

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Borukaiev, Z. Kh, V. A. Evdokimov, and K. B. Ostapchenko. "COMPUTATIONAL METHOD OF NODAL TRANSFORMATION OF THE PRICING PROCESS IN THE ELECTRICITY MARKET." Tekhnichna Elektrodynamika 2022, no. 5 (2022): 67–76. http://dx.doi.org/10.15407/techned2022.05.067.

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The main attention in the article is given to the development of the method of nodal transformation of the pricing process in the electricity market. The sequence of implementation of the main constructive stages of its development and further use is given, such as: descriptions of the pricing process; formalization of the pricing process; development of computational procedures for building a simulation model of the pricing process. A distinctive feature of this method from the known and described in the scientific literature is the direct connection of the dynamic energy flow at all stages o

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Hu, Feihu, Xuan Feng, and Hui Cao. "A Short-Term Decision Model for Electricity Retailers: Electricity Procurement and Time-of-Use Pricing." Energies 11, no. 12 (2018): 3258. http://dx.doi.org/10.3390/en11123258.

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This paper establishes a short-term decision model, based on robust optimization, for an electricity retailer to determine the electricity procurement and electricity retail prices. The electricity procurement process includes purchasing electricity from generation companies and from the spot market. The selling prices of electricity for the customers are based on time-of-use (TOU) pricing which is widely employed in modern electricity market as a demand response program. The objective of the model is to maximize the expected profit of the retailer through optimizing the electricity procuremen

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Halynska, Yuliia, and Tetiana Bondar. "Combined electricity pricing model taking into account the “green tariff” and traditional factors." E3S Web of Conferences 234 (2021): 00019. http://dx.doi.org/10.1051/e3sconf/202123400019.

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The article proposes a new optimization model of systemic relationships and effects in the formation of a pricing policy for electricity from combined sources of electricity, taking into account indicators of anthropogenic impact and non-renewable resources, socio-environmental and economic interests of society in the distribution of rental income. The model in the end result provides for the formation of a combined model of tariff setting in the energy sector, according to which electricity tariffs for the end user of the corresponding region will combine both market prices for energy generat

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Chen, Wei, Haomin Wang, and Jingbin He. "Research on electricity supply chain strategy coordination considering peak-valley pricing policy and service quality investment." RAIRO - Operations Research 56, no. 2 (2022): 583–99. http://dx.doi.org/10.1051/ro/2022020.

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An electricity supply chain game model composed of electricity generation enterprise and electricity retailer enterprise is constructed to evaluate the impact of service quality and peak-valley pricing on electricity supply chain coordination mechanism. Decisions on electricity service quality and peak-valley pricing are studied. Following this, the contract coordination under the electricity supply chain is discussed. Based on the game framework, the main research results are as follows. First, the centralized system provides a lower peak-valley price and higher electricity service quality, e

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Borukaiev, Z. Kh, V. A. Evdokimov, and K. B. Ostapchenko. "Construction of the Multi-Agent Environment Architecture of the Pricing Process Simulation Model in the Electricity Market." Èlektronnoe modelirovanie 45, no. 6 (2023): 15–30. http://dx.doi.org/10.15407/emodel.45.06.015.

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The question of building the architecture of the multi-agent environment of the simulation model of the pricing process, as a space of heterogeneous interconnected organizational, infor-mational, technological and economic interactions of the simulated agents of the pricing pro-cess, is considered.Using the example of a complex organizational and technical system (COTS) of the electricity micro-market in local electric power systems, the set of agents sur-rounding them and ensuring the vital activity of the COTS of pricing is formalized, consisting of classified internal agents and environment

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Liang, Xue, Bing Qing Li, Dong Sheng Yang, Bo Hu, and Dan Li. "Research on Formulating an Electricity Sales Price Basic Theory Based on Fair Burden Coefficient." Applied Mechanics and Materials 543-547 (March 2014): 4258–63. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4258.

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With the improving of the electricity users requirements for power quality, traditional electricity pricing model cant meet the needs of users. This thesis first carries on the analysis of electricity cost factors, and then establishes the cost model of electricity generation companies and electricity supply companies. The formulation of electricity price should consider electricity users, electricity generation companies, electricity supply companies and state taxes. And each factor should bear responsibility of electricity price's formulation based on social fair burden coefficient. So the t

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Kremer, Marcel, Rüdiger Kiesel, and Florentina Paraschiv. "Intraday Electricity Pricing of Night Contracts." Energies 13, no. 17 (2020): 4501. http://dx.doi.org/10.3390/en13174501.

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This paper investigates the intraday electricity pricing of 15-min. contracts in night hours. We tailor a recently introduced econometric model with fundamental impacts, which is successful in describing the pricing of day contracts. Our estimation results show that the mean reversion and the positive price impact of neighboring contracts are generic features of the price formation process on the intraday market, independent of the time of day. Intraday auction prices have higher explanatory power for the pricing of night than day contracts, particularly, for the first and last 15-min. contrac

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Liu, Jiangping, Wei Zhang, Guang Hu, et al. "Master–Slave Game Pricing Strategy of Time-of-Use Electricity Price of Electricity Retailers Considering Users’ Electricity Utility and Satisfaction." Sustainability 17, no. 7 (2025): 3020. https://doi.org/10.3390/su17073020.

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With the establishment of a competitive electricity retail market, how to optimize the retail electricity price mechanism has become the core of all kinds of retail companies to explore. Aiming at the pricing problem of time-of-use electricity price, this paper proposes a pricing strategy based on the master–slave game model. Firstly, considering the user’s electricity utility and satisfaction factors, the comprehensive benefit function of the electricity selling company with electricity price as the decision variable and the user’s comprehensive benefit function with electricity consumption a

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Yan, Ning, Shenhai Huang, Yan Chen, et al. "Co-Benefits of Carbon Pricing and Electricity Market Liberalization: A CGE Case Study." Sustainability 17, no. 13 (2025): 5992. https://doi.org/10.3390/su17135992.

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This study explores how carbon pricing and electricity market liberalization jointly contribute to China’s sustainable energy transition. Using a dynamic computable general equilibrium (CGE) model (CEEEA2.0), we simulate three policy scenarios—business as usual, emissions trading scheme (ETS) with regulated electricity prices, and ETS with market-based pricing—under a unified emissions cap. The results demonstrate that electricity market liberalization enhances carbon pricing efficiency by eliminating price distortions, leading to a 0.06% increase in GDP and a 12% reduction in emission abateme

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Kourosh, Apornak 1. Faramarz Faghihi2 Hossein Mohammadnezhad Shourkaei3. "A MODEL FOR DEFINING THE RETAILER’S PROFIT BASED ON LOAD SHIFTING AND TOU PRICING." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 9 (2016): 780–90. https://doi.org/10.5281/zenodo.155244.

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Deregulation of the electricity market is an important issue in the energy sector. A major aim of deregulation is to increase competition among electricity retailers/suppliers and thereby enrich consumer choice among electricity products Retail energy markets are the final link in the energy supply chain. Energy retailers buy electricity in wholesale markets, package it with transportation services and sell it to customers. This is typically the main interface between the electricity industry, and customers such as households and small businesses. The electricity retailers are simply competing

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Wang, Kun, Yalun Li, Chaojie Xu, Peng Guo, Zhenlin Wu, and Jiuyu Du. "Vehicle–Grid Interaction Pricing Optimization Considering Travel Probability and Battery Degradation to Minimize Community Peak–Valley Load." Batteries 11, no. 2 (2025): 79. https://doi.org/10.3390/batteries11020079.

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Vehicle-to-Grid (V2G) technology has been widely applied in recent years. Under the time-of-use pricing, users independently decide the charging and discharging behavior to maximize economic benefits, charging during low-price periods, discharging during high-electricity periods, and avoiding battery degradation. However, such behavior under inappropriate electricity prices can deviate from the grid’s goal of minimizing peak–valley load difference. Based on the basic electricity data of a community in Beijing and electricity vehicle (EV) random travel behavior obtained through Monte Carlo simu

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CHEN, Haoyong, and Lijia HAN. "Electricity pricing theory based on continuous time commodity model." SCIENTIA SINICA Informationis 48, no. 10 (2018): 1287–99. http://dx.doi.org/10.1360/n112018-00061.

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Wang, Haibing, Chengmin Wang, Weiqing Sun, and Muhammad Qasim Khan. "Energy Pricing and Management for the Integrated Energy Service Provider: A Stochastic Stackelberg Game Approach." Energies 15, no. 19 (2022): 7326. http://dx.doi.org/10.3390/en15197326.

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As a retailer between the energy suppliers and end users, the integrated energy service provider (IESP) can effectively coordinate the energy supply end and the energy use end by setting energy prices and energy management. Because most of the current research focuses on the pricing of electricity retailers, there are few studies on IESP energy pricing and management, which are still at the initial stage. At the same time, the existing research often does not consider the impact of demand response (DR) and uncertainties, such as natural gas and electricity wholesale prices, on the pricing of I

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