Article
Engineering, Civil
Xiaoyu Duan, Zechun Hu, Yonghua Song
Summary: This paper investigates bidding strategies in both energy and reserve markets for an aggregator of multiple fast charging stations with energy storage systems to hedge the risks of random charging demands and volatile market prices, converting the proposed formulation into a linear programming problem and designing an iterative solution method to reduce computation time. Case studies based on trajectory data of taxis in Beijing demonstrate that the aggregator can achieve higher economic benefits while satisfying the fast charging demand of electric vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Energy & Fuels
Antonio Coelho, Jose Iria, Filipe Soares
Summary: A network-secure bidding optimization strategy is proposed in this paper to assist aggregators of multi-energy systems in calculating bids while considering network constraints. Results show that joint optimization of multi-energy systems can significantly reduce aggregator's costs. Sensibility studies also reveal the impact of certain conditions on aggregator's costs.
Article
Engineering, Electrical & Electronic
I. Pavic, H. Pandzic, T. Capuder
Summary: The shift from fossil fuels to renewable energy sources in the power system has led to the search for new reserve providers to ensure flexibility. Smart charging for electric vehicles has emerged as a promising solution, but there are uncertainties regarding reserve activation and EV availability. This study introduces a new method for modeling reserve activation uncertainty in European markets and demonstrates the improvement of proposed stochastic and robust models compared to deterministic approaches.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Natalia Romero, Koos van der Linden, German Morales-Espana, Mathijs M. de Weerdt
Summary: The power system is adapting to the intermittency and uncertainty of renewable generation by utilizing flexibility from loads such as electric vehicles to maintain supply-demand balance. However, there are computational challenges for aggregators in reserve markets due to rules that require bidding on both volume and price, as well as a minimum-volume constraint.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Jian Wang, Ning Xie, Chunyi Huang, Yong Wang
Summary: This paper proposes a two-stage stochastic-robust model for the day-ahead self-scheduling problem of an aggregator considering uncertainties. The model integrates power and capacity of small-scale prosumers and flexible community-owned devices, and trades electric energy and reserves in different markets. The combination of stochastic programming and robust optimization is used to model uncertainties and manage risks. Case studies show the economic revenue and energy-reserve schedule of the aggregator under different market participation, reserve regulations, and risk preferences.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Zhouding Liu, Morteza Nazari-Heris
Summary: This paper presents a robust bi-level model for optimal bidding of interconnected multi-carrier systems (MCSs) in the wholesale electricity markets. The proposed model uses a robust optimization method (ROM) to model risk-based bidding of interconnected MCSs, including the energy and reserve markets. The model considers various bidding strategies and the integration of storage units to improve energy efficiency and reduce operation costs.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Business, Finance
Chen Gu, Alexander Kurov, Raluca Stan
Summary: This paper investigates the intraday volatility changes of gold and crude oil surrounding the release of FOMC statements. The study reveals that monetary policy announcements lead to the resolution of intraday uncertainty in these commodity markets. Moreover, it is demonstrated that these announcements provide insights into future commodity demand and supply.
FINANCE RESEARCH LETTERS
(2023)
Article
Green & Sustainable Science & Technology
Angel Paredes, Jose A. Aguado, Pedro Rodriguez
Summary: This paper proposes an uncertainty-aware Multi-DSO LFM market setting that utilizes flexibility products to mitigate congestion and imbalances among different DSOs. The LFM is solved in a coordinated and decentralized manner using the Alternating Direction Method of Multipliers (ADMM), and the uncertainty of RDERs and energy event duration is modeled using chance-constraint linear optimization. The effectiveness of the proposed methodology is validated through a case study based on a realistic dataset and radial distribution systems.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Tim Mertens, Kenneth Bruninx, Jan Duerinck, Erik Delarue
Summary: The text discusses the application of capacity credits in long-term energy system optimization models and capacity markets, as well as the impact of different interpretations of capacity credits for storage technologies on investments.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Computer Science, Information Systems
Arsalan Najafi, Mahdi Pourakbari-Kasmaei, Javier Contreras, Matti Lehtonen, Zbigniew Leonowicz
Summary: This study proposes a new framework to maximize the hosting capacity of distributed generation in a distribution network through a bilevel stochastic programming approach, simplified into a single-level model using Karush-Kuhn-Tucker conditions. Experimental results demonstrate how an interactive-based framework can contribute to increasing the hosting capacity of distributed generation.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Weiqing Sun, Wei Liu, Wei Xiang, Jie Zhang
Summary: This paper investigates the competitive advantage of load aggregators (LA) in electricity market transactions and proposes a method to address the uncertainty of user-side resource response. By introducing virtual energy storage (VES) and traditional energy storage (NSES), the operational mechanisms of LA in different markets are analyzed. By establishing a capacity allocation model, an effective strategy is proposed to compensate for the uncertainty and increase the economic benefit.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Engineering, Multidisciplinary
Yuhao Jing, Zhaohui Yang, Pingfang Zhou, Yueying Wang, Huaicheng Yan
Summary: This paper proposes an Earth-observation model with considerations of loading devices' side-swing characteristics and field of view (FOV), and establishes a collaborative deployment model of Multi-airship Earth-observation Coverage Network (MAEON) to achieve observation coverage, target point statistics, observation resolution, and multi-airship community profit objectives. A multi-objective evolutionary optimization algorithm (MOEA) with associated bi-criterion is proposed to efficiently and extensively obtain the solution set of cooperative deployment problem. Through simulation experiments, it is shown that the proposed algorithm outperforms popular MOEAs in performance, universality, and stability.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Energy & Fuels
Leonidas Anthopoulos, Polytimi Kolovou
Summary: This study introduces a multi-criteria decision-making (MCDM) framework for EV charging infrastructure deployment and operation, which respects both the economic and the technical aspects for public charging stations. The results show that the installation and operation of public EV charging stations, located in private spaces to ensure their protection against vandalism, within the urban areas is the preferred deployment approach. The market model for the EV charging infrastructure ownership and operation in Greece is driven by the direct investments of limited vendors, focusing on sustainability and environmental protection, rather than being economically oriented.
Article
Engineering, Electrical & Electronic
Wenjie Liu, Shibo Chen, Yunhe Hou, Zaiyue Yang
Summary: This paper studies a trilevel profit maximization problem for electric vehicle aggregators in the day-ahead reserve market with uncertain EV connectivity. The problem is transformed into a single-level mixed integer nonlinear program using total unimodularity property and other methods, and a sample-based algorithm is developed for solving it, with the effectiveness validated through case studies.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Shenxuan Ye, Yuxuan Dai, Fenglin Zhang, Zhiqi Qin, Shuwen Jin, Qiyao Yan, Yangbing Xu
Summary: This article presents a multi-energy dispatching model to address the challenges posed by uncertainty and randomness in demand and supply. By using matching algorithms and simulation methods to consider the uncertainty of electric vehicle (EV) demand, the authors demonstrate that the scheduling model and the synergistic microgrid structure for multi-energy sources can enhance efficiency and reduce costs.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Han Wang, Youwei Jia, Chun Sing Lai, Kang Li
Summary: This paper proposes an optimal operational regime for a virtual power plant (VPP) considering reserve uncertainty, including a novel day-ahead offering strategy and a real-time dispatching model. The proposed regime utilizes a hybrid stochastic minimax regret (MMR) model for making offering decisions in the energy market and a self-adaptive algorithm to alleviate the conservativeness of the dispatching model.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Mengge Shi, Han Wang, Peng Xie, Cheng Lyu, Linni Jian, Youwei Jia
Summary: This paper proposes a novel energy scheduling regime for the electricity-hydrogen-heat integrated energy system (IES) clusters, enabling local electricity energy sharing through a peer-to-peer (P2P) electricity and heat energy transaction structure. The proposed regime features reduced energy consumption and operational costs. A weighted MPC strategy and an adaptive ADMM algorithm are introduced for robust scheduling decisions and prosumer privacy protection in multi-energy microgrids. Simulation results based on a typical testing system demonstrate the effectiveness of the proposed regime and its practical application potential.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
Han Wang, Youwei Jia, Mengge Shi, Peng Xie, Chun Sing Lai, Kang Li
Summary: With the rise of electric vehicles and advancements in battery technology, utilizing the charging flexibility of EVs can support economic and secure power system operations. This study proposes a novel hybrid incentive program that encourages EV owners to sell their charging flexibility to charging stations, benefiting both parties. Unlike existing approaches, this program offers simplicity, consistency, and control. An optimal incentive price selection model is developed to determine the payment parameters, and an adaptive ADMM algorithm is used to efficiently solve the problem. Case studies show the superiority of this hybrid incentive program, achieving cost reduction for EV owners, energy market bill reduction, and increased charging flexibility utilization.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
Han Wang, Mengge Shi, Peng Xie, Chun Sing Lai, Kang Li, Youwei Jia
Summary: This paper investigates the EV charging scheduling strategy under uncertain EV departures and proposes a holistic methodology to mitigate the negative impacts of unexpected trips. The proposed methodology reduces user convenience losses and improves load flattening performance.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2023)
Article
Energy & Fuels
Mokhtar Benasla, Imane Boukhatem, Tayeb Allaoui, Abderrahmane Berkani, Petr Korba, Felix Rafael Segundo Sevilla, Mohamed Belfedel
Summary: The idea of exporting dispatchable solar electricity from the North African region to Europe is still being discussed. This paper focuses on the potential of Algeria as a supplier and analyzes possible import corridors and barriers.
Article
Energy & Fuels
Hobyung Chae, Sangmu Bae, Jae-Weon Jeong, Yujin Nam
Summary: Thermoelectric generators (TEGs) utilize temperature differences to produce electricity and have potential for various industrial applications. This study introduces an advanced technique that utilizes temperature gradients in water pipes to increase power generation, with efficient modulation of output power through flow control. The feasibility evaluation in residential settings shows that TEGs can generate 10.95 kWh of electricity per unit, and to achieve zero-energy buildings, 64.5 m2 of TEG deployment is required per unit given a zT value of 1.
Review
Energy & Fuels
Lina Patricia Vega, Karen Tatiana Bautista, Heliana Campos, Sebastian Daza, Guillermo Vargas
Summary: This article focuses on the current situation of biofuel production and research development in Latin American countries such as Argentina, Brazil, Mexico, Chile, Costa Rica, and Colombia. Brazil stands out as a leader in the region, making significant advancements in clean energy production through biofuels policy implementation. The review highlights the challenges these countries face in utilizing their comparative advantages for biofuel production.
Article
Energy & Fuels
Iraj Faraji Davoudkhani, Mahmoud Rerza Shakarami, Almoataz Y. Abdelaziz, Adel El-Shahat
Summary: This paper presents an optimization-based method for designing a wide-area damping controller (WADC) based on remote signals to improve the damping of inter-area oscillations by considering the time delays. The grey wolf optimization (GWO) algorithm is utilized to solve the optimization problem, and simulations and statistical results demonstrate the superiority of the proposed method.
Article
Energy & Fuels
Majid Ahmed Mohammed, Bashar Mahmood Ali, Khalil Farhan Yassin, Obed Majeed Ali, Omar Rafae Alomar
Summary: This study compares the effects of different phase change materials on the performance of solar panels. The experiment shows that the use of beeswax can lower the temperature of the panel and increase the efficiency of the photovoltaic system.
