Article
Computer Science, Information Systems
Kehe Wu, Yanyu Chai, Xiaoliang Zhang, Xun Zhao
Summary: With the reform of the power system, power price prediction has become a crucial problem that needs to be addressed. This study proposes a power price prediction method based on particle swarm optimization of the XGBoost model, which improves the accuracy of the prediction by optimizing the model's parameters. Experimental results show that the PSO-XGBoost model outperforms other methods in terms of accuracy and trend conformity.
Article
Energy & Fuels
Dongliang Xiao, Wei Qiao
Summary: The paper proposes a hybrid scenario generation method for electricity prices using SARIMA model and historical data, which can help virtual bidders generate optimal bidding strategies. Case study results show that the proposed method outperforms traditional methods in preserving statistical properties and predicting future trends of electricity prices, leading to higher profits for virtual bidders in the electricity market.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Oveis Abedinia, Ali Ghasemi-Marzbali, Venera Nurmanova, Mehdi Bagheri
Summary: The electricity market has become competitive, and optimizing bidding strategies can increase consumer profits and promote efficient and equitable allocation of economic resources.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Bozena Borowska
Summary: This study proposes a learning competitive swarm optimization algorithm (LCSO) based on particle swarm optimization method and competition mechanism, which improves the search process and achieves higher efficiency compared to other tested methods.
Article
Economics
Michal Narajewski, Florian Ziel
Summary: This paper addresses the question of how to maximize profit when trading in two electricity markets, considering factors such as coordinated bidding, market impact, and trading strategies. Empirical research is conducted on the German EPEX market.
Article
Energy & Fuels
Yi Wang, Zhifang Yang, Juan Yu, Junyong Liu
Summary: In this paper, an optimization-based partial marginal pricing method is proposed to reduce consumer payment under strategic bidding. By introducing discriminatory price components in the pricing formulation, this method preserves the advantages of locational marginal pricing while addressing remaining issues. Numerical results show that the proposed method effectively reduces excessive consumer payments.
Article
Mathematics
Omer Ali, Qamar Abbas, Khalid Mahmood, Ernesto Bautista Thompson, Jon Arambarri, Imran Ashraf
Summary: This study introduces a competitive coevolution process to enhance the capability of Phasor PSO (PPSO) for global optimization problems. Experimental results show that the improved competitive multi-swarm PPSO (ICPPSO) algorithm achieves a dominating performance, with average improvements of 15%, 20%, 30%, and 35% over PPSO and FMPSO.
Article
Engineering, Electrical & Electronic
Marco G. Flammini, Giuseppe Prettico, Andrea Mazza, Gianfranco Chicco
Summary: This paper presents a methodology for simulating future electricity wholesale prices by considering hourly electricity generation offers datasets. Machine learning, clustering, and distribution sampling techniques are used in estimating prices distribution in 2030 in the Italian market. The approach bypasses the need for access to all transactions of a given market, achieving similar results using probability distributions.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Thermodynamics
Jiahui Wu, Jidong Wang, Xiangyu Kong
Summary: This study proposes an intelligent strategic bidding theoretical framework using MATL and investigates four MATL algorithms. The performance of the intelligent bidding simulation model based on the four MATL algorithms is compared and analyzed from the perspective of accuracy and convergence speed. Furthermore, the rationality and effectiveness of the intelligent bidding method using MATL based on MARL are validated through case examples.
Article
Engineering, Electrical & Electronic
Farshid Keynia, Gholamreza Memarzadeh
Summary: The paper proposes a method based on forecasting wind power production, electricity price, and Financial Loss/Gain (FLG) in coordination with energy storage to improve the participation and profit of wind power producers in the electricity energy market.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Energy & Fuels
Qirui Li, Zhifang Yang, Juan Yu, Wenyuan Li
Summary: This paper proposes a methodology to quantitatively analyze the effect of previous revenue on a GenCo's bidding strategy. Based on the established relationship between previous revenue and bidding strategy, a bidding behavior model based on the prospect theory is developed and the bidding behavior characteristics under the influence of previous revenue are derived and analyzed. The results show that previous revenue has an obvious influence on the bidding behavior of GenCo, and different ranges of previous revenue lead to different bidding tendencies.
Article
Management
Jason Shachat, Lijia Tan
Summary: We introduce a behavioral model that effectively predicts auctioneers' reserve choice patterns in English clock auctions across varying reserve price formats. The Subjective Conditional Probability (SCP) model explains two intuitive, but sub-optimal, reserve price setting patterns and has strong external validity across a variety of procurement environments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Mathematics
Kavita Jain, Muhammed Basheer Jasser, Muzaffar Hamzah, Akash Saxena, Ali Wagdy Mohamed
Summary: This research introduces a novel algorithm called HHO-NN, based on Harris Hawk Optimization, for automatically searching optimal neural network topologies for bidding. The proposed method outperforms other state-of-the-art methods in terms of profit and computational performance, providing precise market information for making valuable bidding decisions.
Article
Computer Science, Interdisciplinary Applications
Siying Zhang, Ning Chen, Na She, Ke Li
Summary: This article investigates the decision-making model for the location of cold chain logistics facilities in Wuhan. By considering the perspectives of government and logistics users, the study provides a method to minimize the total social cost of the entire logistics system.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Energy & Fuels
Shinji Kuno, Kenji Tanaka, Yuji Yamada
Summary: Motivated by the growing demand for distributed energy resources, this study explores the application of a market maker system and efficient market strategies in the peer-to-peer electricity market. By introducing market-maker agents and implementing bidding strategies, the study examines the effects on liquidity improvement, price stabilization, and profitability.
Article
Environmental Sciences
H. Aliyari, S. H. Hosseinian, H. Sahraei, M. B. Menhaj
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2019)
Article
Engineering, Electrical & Electronic
Morteza Ghaseminezhad, Aref Doroudi, Seyed Hossein Hosseinian, Alireza Jalilian
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2019)
Article
Green & Sustainable Science & Technology
Mohamad-Amin Nasr, Ehsan Nasr-Azadani, Abbas Rabiee, Seyed Hossein Hosseinian
IET RENEWABLE POWER GENERATION
(2019)
Article
Engineering, Electrical & Electronic
Hamed Aliyari, Seyed Hossein Hosseinian, Mohammad Bagher Menhaj, Hedayat Sahraei
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING
(2019)
Article
Construction & Building Technology
Hassan Khalkhali, Seyed Hossein Hosseinian
SUSTAINABLE CITIES AND SOCIETY
(2019)
Article
Engineering, Electrical & Electronic
Mahdi Mirzaei, Behrooz Vahidi, Seyed Hossein Hosseinian
IET GENERATION TRANSMISSION & DISTRIBUTION
(2019)
Article
Computer Science, Artificial Intelligence
M. H. Nazari, S. H. Hosseinian, E. Azad-Farsani
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2019)
Article
Engineering, Electrical & Electronic
Mohsen Jannati, Behrooz Vahidi, Seyed Hossein Hosseinian
IEEE TRANSACTIONS ON POWER DELIVERY
(2019)
Article
Engineering, Electrical & Electronic
F. Yazdi, S. H. Hosseinian
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2019)
Article
Engineering, Electrical & Electronic
Mahmood Narimani, Seyed Hossein Hosseinian, Behrooz Vahidi
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2019)
Article
Engineering, Electrical & Electronic
Hassan Khalkhali, Seyed Hossein Hosseinian
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Ali Karimian, Seyed Hossein Hosseinian
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Mohamad-Amin Nasr, Saman Nikkhah, Gevork B. Gharehpetian, Ehsan Nasr-Azadani, Seyed Hossein Hosseinian
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Amirhossein Solat, Seyed Hossein Hosseinian
2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019)
(2019)
Article
Computer Science, Information Systems
Seyyed Mohammad Sadegh Ghiasi, Mehrdad Abedi, Seyed Hossein Hosseinian
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)