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Sustainable Development and Planning Optimization Related to the Energy Power...
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Sustainable Development and Planning Optimization Related to the Energy Power Market

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 5624

Special Issue Editors

Dr. Yiming Ke

E-Mail Website
Guest Editor
Energy and Electricity Research Center, Jinan University, Zhuhai 519070, China
Interests: energy electricity market; energy planning optimization; energy economy and energy policy
Dr. Yaxian Wang

E-Mail Website
Guest Editor
School of Economics, Beijing Wuzi University, Beijing 101149, China
Interests: carbon peak and neutrality research; regional energy environment economy; electricity economy and market
Dr. Fengtao Guang

E-Mail Website
Guest Editor
School of Economics and Management, China University of Geosciences, Wuhan 430074, China
Interests: energy management; energy economics and energy market; energy policy
Dr. Fangtong Liu

E-Mail
Guest Editor
School of Economics and Management, North China Electric Power University, Beijing 102206, China
Interests: energy management; energy economics and energy market; energy policy

Special Issue Information

Dear Colleagues,

With the shortage of fossil fuels, environmental pollution, energy security and other issues becoming increasingly prominent, energy security and sustainable development has become the focus of countries around the world. Energy power market has become a key area of research. The energy power market can promote the sustainable development of energy, meet energy demands and realize the coordinated development of economy, society and the environment, which are necessary considerations for energy planning optimization. At present, with the proposal of  Carbon Peak and Carbon Neutral and a high proportion of new energy sources, the energy power market is in a stage of rapid change and transformation. Urgent problems to be solved include methods of establishing a sustainable energy power market to realize the safe and efficient operation of the energy system, and methods of optimizing energy planning under the consideration of energy power market factor. For example, due to the transformation of the energy power market and imperfect top-level planning, the coordinated development of the electrical energy market and reasonable carbon/hydrogen markets has not yet been established. Further, the adaptability of energy planning optimization to the energy power market factor needs to be further improved. Therefore, it is necessary to carry out research on the sustainable development of energy power market and energy planning optimization under considering energy power market. This Special Issue is dedicated to the sustainable development of the energy power market and planning optimization. We welcome articles and review studies on topics including, but not limited to:

  • Sustainable development paths or sustainability assessment for energy power market;
  • Energy market construction in new power systems;
  • Coupling of the electricity market, carbon market and hydrogen market;
  • Energy planning optimization theory considering energy trading;
  • Energy trading theory in integrated energy systems;
  • Multi-criteria decision-making method in energy power market construction or energy planning optimization;
  • Blueprint for the development of energy power market or energy planning optimization

We look forward to receiving your contributions.

Dr. Yiming Ke
Dr. Yaxian Wang
Dr. Fengtao Guang
Dr. Fangtong Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable development
  • sustainability assessment
  • energy power market
  • planning optimization
  • sizing configuration
  • evaluation system
  • blueprint

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Published Papers (4 papers)

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Research

21 pages, 327 KiB  
Article
Cost–Benefit Analysis of Cross-Regional Transmission of Renewable Electricity: A Chinese Case Study
by Zanxin Wang, Yaqing Liu, Rui Wang and Yushang Hu
Sustainability 2024, 16(23), 10538; https://doi.org/10.3390/su162310538 - 1 Dec 2024
Viewed by 846
Abstract
While the establishment of a unified regional power market that promotes the optimal use of renewable energy is considered to be a pathway to meeting the policy targets of “carbon peaking” and “carbon neutrality”, the economic feasibility of the power transmission project is [...] Read more.
While the establishment of a unified regional power market that promotes the optimal use of renewable energy is considered to be a pathway to meeting the policy targets of “carbon peaking” and “carbon neutrality”, the economic feasibility of the power transmission project is not well understood. To fill this gap, this study conducted a cost–benefit analysis of a proposed project that transmits hydropower, photovoltaic power, and/or wind power whose ratios are 100:0:0, 79:13:8, and 65:22:13 in three scenarios from Dian to Yu in China. It was found that the project has economic feasibilities for each scenario; however, this highly depends on its external benefits, discount rates, and transmission quantity. As the ratio of hydropower becomes lower, the net present value decreases from 117.32 billion to 112.99 billion for an annual transmission of 7.498 billion kWh of electricity. Since the substitution of coal-fired power with renewable power contributes the highest benefit to the project, the cross-regional transmission of renewable electricity should be promoted jointly with the internalization mechanism of externalities. Full article
(This article belongs to the Special Issue Sustainable Development and Planning Optimization Related to the Energy Power Market)
23 pages, 3025 KiB  
Article
The Art of Balancing Price and Plug: Developing a Theoretical Model for Dynamic Pricing in the Electric Vehicle Market
by Zhining Jia, Qi Chen and Qi Xu
Sustainability 2024, 16(21), 9325; https://doi.org/10.3390/su16219325 - 27 Oct 2024
Viewed by 1345
Abstract
This study presents a novel approach to understanding the complex dynamics of the electric vehicle (EV) market through the lens of differential game theory. We developed a comprehensive model that captures the strategic interactions between EV manufacturers and charging network operators, while incorporating [...] Read more.
This study presents a novel approach to understanding the complex dynamics of the electric vehicle (EV) market through the lens of differential game theory. We developed a comprehensive model that captures the strategic interactions between EV manufacturers and charging network operators, while incorporating the effects of consumer behavior, market uncertainties, and reference price effects. Using differential game theory, we examined the impact of reference price effects and the charging network’s influence on pricing strategies, focusing on three distinct approaches: basic pricing, static pricing considering reference price effects, and dynamic pricing strategies. Our model offers new insights into consumer behavior and price expectations in the rapidly evolving EV market. The key findings reveal that under static or dynamic pricing strategies, the optimal pricing for EV manufacturers is positively correlated with the initial reference price. When the initial reference price is high (low), the optimal pricing strategy resembles skimming pricing (penetration pricing). As the effort level of charging network operators increases and their influence on consumers’ purchase decisions grows stronger, EV manufacturers tend to set higher prices. Notably, while dynamic pricing strategies can optimize EV manufacturers’ profits, the profits of charging network operators may decrease compared with static pricing strategies. This integrated approach significantly contributes to the field by bridging gaps among market dynamics, pricing strategies, and the infrastructure’s development in the context of electric mobility, providing a comprehensive framework for understanding and optimizing the EV ecosystem. Ultimately, this study advances sustainable business models that balance profitability, consumer behavior, and the infrastructure’s growth in the rapidly evolving EV market. Full article
(This article belongs to the Special Issue Sustainable Development and Planning Optimization Related to the Energy Power Market)
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21 pages, 675 KiB  
Article
Assessing the Flexibility of Power Systems through Neural Networks: A Study of the Hellenic Transmission System
by Christos D. Kaskouras, Konstantinos F. Krommydas, Ioannis Baltas, George P. Papaioannou, Georgios I. Papayiannis and Athanasios N. Yannacopoulos
Sustainability 2024, 16(14), 5987; https://doi.org/10.3390/su16145987 - 12 Jul 2024
Cited by 1 | Viewed by 1062
Abstract
Increasing the generation of electric power from renewable energy sources (RESs) creates important challenges to transmission system operators (TSOs) for balancing the power system. To address these challenges, adequate system flexibility is required. In this context, TSOs carry out flexibility assessment studies to [...] Read more.
Increasing the generation of electric power from renewable energy sources (RESs) creates important challenges to transmission system operators (TSOs) for balancing the power system. To address these challenges, adequate system flexibility is required. In this context, TSOs carry out flexibility assessment studies to evaluate the flexibility level of the power system and ensure that a stable operation of the transmission system under high RESs integration can be achieved. These studies take into consideration numerous scenarios incorporating different assumptions for temperature, RESs penetration, load growth, and hydraulic conditions. Until now, flexibility studies usually solve the standard unit commitment problem and evaluate if the flexibility level is adequate. Although this approach provides quite accurate results, the computational requirements are significant, resulting in limiting the scenarios chosen for examination. In this paper, deep learning approaches are examined, and more precisely, an integrated system of two recurrent neural networks with long short-term memory cells is designed to carry out the flexibility assessment task, aiming at the reduction in the computational time required by the optimization process. The output of this neural network system is then used to calculate the probability of flexibility shortages. The proposed method is evaluated based on data from the Hellenic transmission system, providing quite promising results in (a) accurately calculating the probability of insufficient flexibility and (b) achieving a significant decrease in computational time. This novel approach could notably facilitate TSOs since more scenarios can be included, exploiting the computational efficiency of the method. In this way, a more complete evaluation of the flexibility level of the power system can be achieved and thus help to ensure the stable and reliable operation of the transmission system. Full article
(This article belongs to the Special Issue Sustainable Development and Planning Optimization Related to the Energy Power Market)
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20 pages, 2578 KiB  
Article
The Study of Carbon Neutralization Effects with Green Credit: Evidence from a Panel Data Analysis for Interprovinces in China
by Jie Jiao, Jiyuan Zhang, Jie Yang, Wenwen Zhang, Fengtao Guang and Liying Liu
Sustainability 2023, 15(17), 13267; https://doi.org/10.3390/su151713267 - 4 Sep 2023
Cited by 1 | Viewed by 1363
Abstract
Giving full play to carbon emission reduction of green credits is essential to achieve carbon neutrality. According to low-carbon pilot policies and the condition of industrial transfer, this paper first sorts those provinces into different research zones. The zones are as follows: (Ⅰ) [...] Read more.
Giving full play to carbon emission reduction of green credits is essential to achieve carbon neutrality. According to low-carbon pilot policies and the condition of industrial transfer, this paper first sorts those provinces into different research zones. The zones are as follows: (Ⅰ) the first and second batch of low-carbon municipalities and the first batch of pilot provinces (L1) and other provinces (L2) and (Ⅱ) strong industry transfer-out zone (STR), weak industry transfer-out zone (WTR), and industrial transfer-in area (TIR). Then, we employ a dynamic panel data model and systematic GMM (SYS-GMM) approach to empirically test the impact of green credit and nongreen credit on carbon emissions. Further, this paper analyzes how to coordinate two types of credits to achieve carbon neutrality. The results show that, first, at the national level, the nexus of green credit and carbon emissions with an inverted U-shaped curve and the current impact of green credit is still in the first half of the inverted U-shaped stage. The achievement of carbon neutrality is associated with the ratio structure of green credit to nongreen credit and the scale of green credit. Second, the achievement of carbon neutrality is with regional heterogeneity. The achievement of carbon neutrality is associated with the scale of green credit in L2 and TIR, but also with the ratio structure of nongreen credit to green credit in L2 and STR. However, the carbon neutralization effects with green credit are insignificant in L1 WTR. Finally, based on those conclusions, this paper puts forwards some suggestions to provide references for the policy formulation of green credits and carbon neutrality. Full article
(This article belongs to the Special Issue Sustainable Development and Planning Optimization Related to the Energy Power Market)
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