Article
Green & Sustainable Science & Technology
Devika Jay, K. S. Swarup
Summary: Modern power systems are becoming smarter and more competitive, with real-time pricing of active and reactive power considered an efficient energy management method. However, the procurement of reactive power through market mechanisms in real-time has not yet been implemented. This paper details the challenges faced in implementing reactive power markets and presents a review of existing mechanisms to address these challenges, as well as a framework for reactive power ancillary service in a smart grid.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Automation & Control Systems
Souvik Das, Bhim Singh
Summary: This article introduces a power management scheme for an integrated wind-solar renewable power generation system. The scheme utilizes a time-of-use electricity pricing mechanism to manage power exchange with the grid, and includes a battery energy storage for price arbitrage functionality. Additionally, the system control strategy incorporates a novel adaptive kernel width maximum correntropy criterion strategy.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Thermodynamics
Sarineh Hacopian Dolatabadi, Mohammad Amin Latify, Hamidreza Karshenas, Alimorad Shari
Summary: The economic efficiency of electricity market is influenced by non-convexities and negative externalities. This paper studies the effects of externalities on electricity pricing, extends pricing mechanisms to consider externalities, and conducts numerical studies on standard test systems.
Article
Engineering, Electrical & Electronic
Fan Liu, Xu Wang, Yao Xiao, Zhaohong Bie
Summary: The study presents a robust day-ahead market clearing framework for the integrated electricity and natural gas system (IEGS) to address the uncertainty challenge. By establishing a SCUC model and an economic dispatch model, along with novel price definitions, market clearing and pricing results can be effectively managed.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Zongzheng Zhao, Yixin Liu, Li Guo, Linquan Bai, Zhongguan Wang, Chengshan Wang
Summary: This paper proposes an uncertainty-aware distribution locational marginal pricing mechanism based on robust optimization for managing the uncertainty of small-scale distributed energy resources (DERs) and removing barriers to their participation in wholesale electricity markets. The mechanism provides transparent and comprehensive price signals for managing voltage, congestion, loss, and uncertainty, and allows DERs to participate in wholesale markets.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Thermodynamics
Bruno Veiga, Gabriel Santos, Tiago Pinto, Ricardo Faia, Carlos Ramos, Zita Vale
Summary: The increasing share of renewable generation globally has led to a need for new electricity markets suited to this new reality. Simulation tools can be used to analyze the impacts of new solutions and this work introduces two web services for electricity market simulation. These services enable the simulation of different algorithms and the evaluation of electrical grids, facilitating integration with other systems. A case study demonstrates the accuracy and usefulness of the proposed services.
Article
Economics
Martin Bichler, Johannes Knoerr
Summary: As the share of renewable energy increases, accurate pricing in electricity spot markets becomes more important. Recent research has shown that non-linear relaxations can lead to increased welfare, lower costs, and improved price signals.
Article
Energy & Fuels
Kehinde Abiodun, Karoline Hood, John L. Cox, Alexandra M. Newman, Alex J. Zolan
Summary: Ancillary services, such as spinning reserves, can increase the profitability of concentrating solar power plants by selling spinning reserves in addition to electric energy. A study using a dispatch optimization model and the System Advisor Model showed that selling spinning reserves in the ancillary service market can increase plant profitability by up to 7% with perfect knowledge of pricing and solar resource availability. This suggests that spinning reserve markets offer significant value streams to concentrating solar power plants with thermal energy storage capabilities.
Article
Engineering, Electrical & Electronic
Mang Jiang, Qinglai Guo, Hongbin Sun, Huaichang Ge
Summary: This paper proposes an incentive-compatible mechanism based on Vickery-Clarke-Groves (VCG) auctions for the day-ahead reactive power ancillary service market to incentivize private providers to participate in maintaining voltage security. The mechanism verifies its effectiveness and provides high rewards or penalties for voltage weak areas to induce appropriate investments in reactive power capacities.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Energy & Fuels
Chenyu Wu, Wei Gu, Enbo Luo, Xi Chen, Hai Lu, Zhongkai Yi
Summary: With the emergence of competitive markets, real-time market clearing results are used to determine optimal power dispatch, which strengthens the coupling between market updates and physical response of generators and networks. Stability analysis for such coupled systems is necessary. Based on the primal-dual gradient method, an economic cybernetic model is established to characterize market operation and power system dynamics. The proposed dynamic model constructs a state space where market participants' actions are control signals and system states are treated as state variables. The transaction process aims to maximize social welfare and frequency regulation at the equilibrium point.
Article
Energy & Fuels
James Hyungkwan Kim, Fredrich Kahrl, Andrew Mills, Ryan Wiser, Cristina Crespo Montanes, Will Gorman
Summary: Variable renewable energy (VRE) has not yet made meaningful participation in U.S. ancillary services (AS) markets. VRE participation in AS markets could provide a new source of revenue for VRE resource owners and a new tool for power system operators to address emerging system constraints.
Article
Green & Sustainable Science & Technology
Omar J. Guerra, Brian Sergi, Michael Craig, Kwabena Addo Pambour, Carlo Brancucci, Bri-Mathias Hodge
Summary: Coordination between power and gas systems improves total gas delivery and reduces out-of-merit order dispatch in the electricity system, but can have mixed effects on carbon dioxide emissions depending on system load and renewable energy penetration levels.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Multidisciplinary
Qisheng Huang, Yunjian Xu, Costas A. Courcoubetis
Summary: By studying a Cournot competition model, it was found that the social welfare achieved at the equilibrium point is always no less than that achieved in a market without energy storage, and the social welfare achieved at the equilibrium converges to the maximum social welfare in the case of an infinite number of symmetric storage owners. Numerical experiments on the IEEE RTS-24 bus test system validated these established results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Economics
Michael Bucksteeg, Jennifer Mikurda, Christoph Weber
Summary: The expansion of wind and solar energy has primarily led to decarbonization of the electricity sector. Power-to-gas (PtG) is seen as a solution for decarbonizing other sectors, but integrating PtG into electricity markets faces challenges due to current generation technologies. The design of electricity markets and carbon pricing should create incentives for utilizing PtG.
Article
Engineering, Electrical & Electronic
Panagiotis Andrianesis, Dimitris Bertsimas, Michael C. Caramanis, William W. Hogan
Summary: The presence of non-convexities in electricity markets, which has been a research focus for about two decades, is addressed through make-whole payments. Convex Hull (CH) prices have attracted attention, but exact determination is challenging. This paper presents a tractable and parallelizable method to estimate CH prices, providing insight into the price formation rationale.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Operations Research & Management Science
Adham I. Tammam, Miguel F. Anjos, Michel Gendreau
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Management
Thibault Barbier, Miguel F. Anjos, Fabien Cirinei, Gilles Savard
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Management
Jesus A. Rodriguez, Miguel F. Anjos, Pascal Cote, Guy Desaulniers
Summary: The maintenance scheduling problem for hydroelectric generators involves uncertainty in water flows and nonlinearity in hydroelectric production, solved using a two-stage stochastic program and parallelized Benders decomposition algorithm. By approximating hydroelectric production with linear inequalities and indicator variables, tailoring and testing various acceleration techniques successfully sped up the algorithm fourfold. Industrial results confirm high scalability of the parallelized Benders implementation in various scenarios.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Operations Research & Management Science
Miguel F. Anjos, Manuel V. C. Vieira
Summary: This paper focuses on the facility layout problem, proposing a new MILP formulation and introducing a two-stage optimization algorithm to solve large instances. The algorithm is the first to report solutions for instances with up to 100 departments in the literature.
OPTIMIZATION LETTERS
(2021)
Article
Operations Research & Management Science
M. F. Anjos, Y. Emine, A. Lodi, Z. Sun
Summary: This study explores several polynomial optimization formulations for the maximum independent set problem and the use of the Lasserre hierarchy. Computational experiments show that the choice of formulation can significantly impact the resulting bounds, with theoretical justifications provided for the observed behavior.
OPERATIONS RESEARCH LETTERS
(2021)
Article
Economics
Elizaveta Kuznetsova, Miguel F. Anjos
Summary: This paper analyzes the impact of billing policy on the profitability of investment in prosumer schemes in Ontario, Canada. It concludes that recent advancements in commercial storage technologies have enabled prosumers to achieve full self-sufficiency. Off-grid becomes a more attractive option in sensitive locations due to a high share of fixed costs in the total electricity bill.
Article
Engineering, Electrical & Electronic
Julie Sliwak, Erling D. Andersen, Miguel F. Anjos, Lucas Letocart, Emiliano Traversi
Summary: In this paper, a new strategy for computing efficient clique decompositions for the SDP problem is proposed, using a clique merging heuristic based on two different estimates of the computational burden. Comparisons with other algorithms on MATPOWER instances show a significant decrease in solver time.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Maissa Daadaa, Sara Seguin, Kenjy Demeester, Miguel F. Anjos
Summary: This paper introduces a linear mixed-integer formulation to address the short-term hydropower unit commitment problem by maximizing total energy production through optimizing water discharge and power points of turbine combinations. The algorithm penalizes turbine start-ups and imposes constraints on the maximum number of turbine changes to find a feasible solution. Computational results are presented for instances in the Saguenay-Lac-St-Jean region of Quebec in Canada.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Paula Fermin Cueto, Ivona Gjeroska, Albert Sola Vilalta, Miguel F. Anjos
Summary: The solution approach divides the multi-trip vehicle routing problem with time windows into strategic decisions and operational planning, addressing depot allocation, fleet size determination, and daily vehicle route optimization. By combining a branch-and-cut algorithm with a heuristic method, the method is efficient in both strategic decisions and operational planning.
Article
Thermodynamics
Miguel F. Anjos, Luce Brotcorne, Juan A. Gomez-Herrera
Summary: This paper introduces a novel price setting optimization problem for an electricity supplier in the smart grid, aiming to maximize profit in a demand response context. Computational experiments show that implementing TLOU can increase the supplier's economic benefit by up to 10% and save consumers up to 6% in costs.
Article
Operations Research & Management Science
Mathieu Besancon, Miguel F. Anjos, Luce Brotcorne
Summary: The complexity of near-optimal robust multilevel problems is analyzed, showing that near-optimal robust versions of multilevel problems remain in the same complexity class as the original problems under general conditions.
OPTIMIZATION LETTERS
(2021)
Article
Energy & Fuels
Barbara Rodrigues, Miguel F. Anjos, Valerie Provost
Summary: The article introduces an innovative business model that aggregates residential storage systems and compensates participants for using their energy storage. A realistic case study in Texas confirms the profitability of the model, highlighting the importance of setting appropriate compensation for successful implementation.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Construction & Building Technology
Ilaria Salerno, Miguel F. Anjos, Kenneth McKinnon, Juan A. Gomez-Herrera
Summary: This paper introduces a novel adaptable energy management system (EMS) for smart buildings, which minimizes energy consumption of individual living units and enhances grid demand flexibility. Computational experiments demonstrated significant reductions in electricity costs and energy consumption with the proposed approach.
JOURNAL OF BUILDING ENGINEERING
(2021)
Proceedings Paper
Construction & Building Technology
I Salerno, M. F. Anjos, K. McKinnon, E. S. Mazzucchelli
Summary: The proposed model, Optimal Refurbishment Design (ORD), is an innovative tool to assist architects in refurbishing existing buildings or designing new ones, addressing the demand for refurbishment, navigating low-energy construction solutions, and analyzing buildings as complex systems. Utilizing mathematical optimization, the ORD simultaneously determines optimal thermal mass, insulation, and user needs without preset limitations on materials or strategies.
CARBON-NEUTRAL CITIES - ENERGY EFFICIENCY AND RENEWABLES IN THE DIGITAL ERA (CISBAT 2021)
(2021)
Article
Computer Science, Software Engineering
Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi
Summary: This paper introduces the algorithmic design and implementation of Tulip, an open-source interior-point solver for linear optimization. Tulip is competitive with open-source interior-point solvers, and is flexible in handling unbounded and infeasible problems. It also demonstrates a tenfold speedup in structured master problems over state-of-the-art commercial interior point method solvers. Additionally, Tulip's ability to use different levels of arithmetic precision is illustrated through problems solved in extended precision.
MATHEMATICAL PROGRAMMING COMPUTATION
(2021)