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Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: 12 July 2025 | Viewed by 5486

Special Issue Editors

Prof. Dr. Fushuan Wen

E-Mail Website
Guest Editor
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Interests: smart grids and electric vehicles; power economics and electricity markets; power system investment, planning and operation optimization; power system alarm processing, fault diagnosis and system restoration
Special Issues, Collections and Topics in MDPI journals
Assoc. Prof. Xiuli Wang

E-Mail Website
Guest Editor
School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan, China
Interests: operation and control of modern power systems; technology of energy storage; electric power market

Special Issue Information

Dear Colleagues,

With the ever-increasing penetration of renewable energy sources (RESs), electric vehicles, and energy storage devices into a modern power system, power system planning and operation are facing new problems and challenges. The establishment of electricity markets and carbon emission markets makes planning and operation issues more complicated and more challenging. It is believed that the present power system will gradually evolve to one with extensive RES generation integration, and the role thermal generation units are currently playing will change accordingly. Given this background, this Special Issue will be devoted to research topics regarding optimal planning and operation in RES-rich power systems under electricity and a carbon emission market environment.

The topics to be covered in this Special Issue include but are not limited to the following:

  1. Power system planning;
  2. Power system operation;
  3. Electricity market mechanism for power systems with high-penetration renewable energy generation;
  4. Local electricity market and peer-to-peer trading;
  5. Potential evaluation, aggregated control, coordinated operation, and market mechanism of flexible resources;
  6. Energy storage systems and electric vehicles in modern power systems;
  7. Artificial intelligence, big data, and blockchain applications.

Prof. Dr. Fushuan Wen
Assoc. Prof. Xiuli Wang
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. Energies 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 2600 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.

Published Papers (5 papers)

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Research

18 pages, 2962 KiB  
Article
Offshore Wind Power Potential in Brazil: Complementarity and Synergies
by Erika Carvalho Nogueira, Rafael Cancella Morais and Amaro Olimpio Pereira, Jr.
Energies 2023, 16(16), 5912; https://doi.org/10.3390/en16165912 - 10 Aug 2023
Cited by 1 | Viewed by 1370
Abstract
Renewable sources stand out in energy planning due to their contribution to greenhouse gas emission reduction when displacing fossil fuels and the enhancement of energy security through the diversification of the energy matrix. Understanding and optimizing the complementary operative synergy between different energy [...] Read more.
Renewable sources stand out in energy planning due to their contribution to greenhouse gas emission reduction when displacing fossil fuels and the enhancement of energy security through the diversification of the energy matrix. Understanding and optimizing the complementary operative synergy between different energy sources over time and space leads to efficient policies. This article uses an hourly Pearson’s correlation coefficient to explore the complementarity between offshore wind and other power generation sources in the Brazilian matrix. An analysis of offshore wind power feasibility in the Brazilian power system will be conducted, considering environmental implications, synergies with the oil industry, costs, and complementarities with other energy sources. The methodology uses an optimization model to minimize costs and optimize the production mix while considering the time series of renewable energy, subject to demand constraints, renewable resource availability, reservoir storage, capacity limitations, and thermal generation. The study concludes that the northeast and southeast electrical subsystems must start offshore wind installation in Brazil due to their complementarity with hydropower production, synergy with the oil and gas industry, and proximity to the largest consumption spots. Full article
(This article belongs to the Special Issue Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment)
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22 pages, 4610 KiB  
Article
Peer-to-Peer Energy Trading among Prosumers with Voltage Regulation Services Provision
by Bochun Zhan, Changsen Feng, Zhemin Lin, Xiaoyu Shao and Fushuan Wen
Energies 2023, 16(14), 5497; https://doi.org/10.3390/en16145497 - 20 Jul 2023
Viewed by 938
Abstract
The increasing penetration of distributed energy resources (DERs) into distribution networks has changed the energy trading pattern in traditional electricity markets to some degree, and this will possibly cause network congestion and nodal voltage violations. This paper proposes a two-stage modeling framework for [...] Read more.
The increasing penetration of distributed energy resources (DERs) into distribution networks has changed the energy trading pattern in traditional electricity markets to some degree, and this will possibly cause network congestion and nodal voltage violations. This paper proposes a two-stage modeling framework for peer-to-peer (P2P) energy trading with voltage regulation services provision considered. In the first stage, direct P2P trading among prosumers, considering network congestion management, is enabled. In the second stage, prosumers provide voltage regulation services to address possible voltage violations. Aiming at maximizing social welfare, the alternative direction method of multipliers (ADMM) is applied to solve the two-stage problem. On the basis of the optimal energy solution of the two-stage problem, the energy prices of P2P transactions and the price of voltage regulation services are settled based on the Nash bargaining model. Finally, simulation results of the IEEE 33-bus power system with six prosumers included demonstrate the effectiveness of the proposed models. Full article
(This article belongs to the Special Issue Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment)
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17 pages, 2917 KiB  
Article
Interpretable Hybrid Experiment Learning-Based Simulation Analysis of Power System Planning under the Spot Market Environment
by Wei Liao, Yi Yang, Qingwei Wang, Ruoyu Wang, Xieli Fu, Yinghua Xie and Junhua Zhao
Energies 2023, 16(12), 4819; https://doi.org/10.3390/en16124819 - 20 Jun 2023
Cited by 1 | Viewed by 789
Abstract
The electricity spot market plays a significant role in promoting the self-improvement of the overall resource utilization efficiency of the power system and advancing energy conservation and emission reduction. This paper analyzes and compares the potential impacts of spot market operations on system [...] Read more.
The electricity spot market plays a significant role in promoting the self-improvement of the overall resource utilization efficiency of the power system and advancing energy conservation and emission reduction. This paper analyzes and compares the potential impacts of spot market operations on system planning, considering the differences between planning methods in traditional and spot market environments through theoretical analysis and model comparison. Furthermore, we conduct research and analysis on grid planning methods under the spot market environment with the goal of maximizing social benefits. Unlike the pricing approach based on historical price data in traditional market simulation processes, a data-driven approach that combines experimental economics and machine learning is proposed, specifically using mixed empirical learning to simulate unit bidding strategies in market transactions. A simulation model for electricity spot market trading is constructed to analyze the performance of the planning results in the spot market environment. The case study results indicate that the proposed planning methods can enable the grid to operate well in the spot market environment, maintain relatively stable nodal prices, and ensure the integration of a high proportion of clean energy. Full article
(This article belongs to the Special Issue Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment)
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12 pages, 3487 KiB  
Article
A Grid Status Analysis Method with Large-Scale Wind Power Access Using Big Data
by Dan Liu, Yiqun Kang, Heng Luo, Xiaotong Ji, Kan Cao and Hengrui Ma
Energies 2023, 16(12), 4802; https://doi.org/10.3390/en16124802 - 19 Jun 2023
Viewed by 677
Abstract
Targeting the problem of the power grid facing greater risks with the connection of large-scale wind power, a method for power grid state analysis using big data is proposed. First, based on the big data, the wind power matrix and the branch power [...] Read more.
Targeting the problem of the power grid facing greater risks with the connection of large-scale wind power, a method for power grid state analysis using big data is proposed. First, based on the big data, the wind power matrix and the branch power matrix are each constructed. Second, for the wind energy matrix, the eigenvalue index in the complex domain and the spectral density index in the real domain are constructed based on the circular law and the M-P law, respectively, to describe the variation of wind energy. Then, based on the concept of entropy and the M-P law, the index for describing the variation of the branch power is constructed. Finally, in order to analyze the real-time status of the grid connected to large-scale wind power, the proposed index is combined with the sliding time window. The simulation results based on the enhanced IEEE-33 bus system show that the proposed method can perform real-time analysis on the grid state of large-scale wind power connection from different perspectives, and its sensitivity is good. Full article
(This article belongs to the Special Issue Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment)
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16 pages, 873 KiB  
Article
Natural Gas–Electricity Price Linkage Analysis Method Based on Benefit–Cost and Attention–VECM Model
by Sheng Zhou, Wen Gan, Ang Liu, Xinyue Jiang, Chengliang Shen, Yunchu Wang, Li Yang and Zhenzhi Lin
Energies 2023, 16(10), 4155; https://doi.org/10.3390/en16104155 - 17 May 2023
Cited by 1 | Viewed by 881
Abstract
In recent years, frequent linkage events of natural gas and electricity prices have seriously affected the stability of the energy supply market. In view of the increasingly close linkage relationship between gas and electricity prices, a gas–electricity price linkage analysis method considering the [...] Read more.
In recent years, frequent linkage events of natural gas and electricity prices have seriously affected the stability of the energy supply market. In view of the increasingly close linkage relationship between gas and electricity prices, a gas–electricity price linkage analysis method considering the benefit–cost and price transmission of gas units is proposed. Firstly, a benefit–cost model of gas units based on risk premium theory is constructed to reflect the willingness of gas units to offer prices in different market environments. Secondly, a vector error correction model (VECM)-based gas–electricity price conduction analysis method was proposed to study the long-term co-integration relationship between gas–electricity prices and the short-term fluctuation conduction process. Then, aiming at the problem of delay in price transmission, a time-delay analysis method of gas–electricity price based on the attention mechanism is proposed. Finally, the gas price index and average gas power price data of China from August 2020 to November 2022 are used to verify the validity of the proposed model; the numerical results show that the proposed method can determine the long-term stable fitting relationship between gas and electricity prices, and can also analyze and judge the conduction direction of gas and electricity price fluctuations in different time periods. Full article
(This article belongs to the Special Issue Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment)
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