Article
Automation & Control Systems
Xinxin Fang, Zhifang Yang, Juan Yu, Yi Wang
Summary: This article investigates the mismatch between DC and AC in the market clearing process, analyzes the physical properties and potential disadvantages of current industrial practices for handling this mismatch, and proposes a modified AC feasibility restoration framework based on optimal power flow algorithm and a strategy for selecting additional units to avoid price spikes.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Economics
Liuhan Lan, Xingping Zhang, Youzhong Zhang
Summary: China's market-oriented reform of electricity transaction and carbon neutrality target will pose new challenges to thermal power generators. This study proposes a bi-level model to capture the individual-oriented behavior of power generation companies and the system-oriented collaborative decision-making behavior. By converting the bi-level optimization model into mathematical programming models and utilizing linearization techniques, the impact of generation companies' behavior decisions in a regional power system is evaluated. The system-oriented decision-making behavior results in lower emissions, lower clearing prices, and higher unit efficiency compared to the individual-oriented mechanism, despite potential profit loss. This highlights the potential environmental benefits of adopting system-oriented decision-making and its role in promoting China's power system's low-carbon transition.
Article
Computer Science, Artificial Intelligence
Yi Chen, Aimin Zhou
Summary: This study proposes a new algorithm, F-MOEA/D, for portfolio optimization problem, which combines exact methods and decomposition approaches to achieve better optimization results within a limited time.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Abed Bagheri, Shahram Jadid
Summary: The paper proposes a new market-clearing scheme for multi-area power systems based on the Optimality Condition Decomposition approach, eliminating the need for coordination entities and requiring only minimal data exchange between areas. A Single-Stage Robust Programming method is used to address uncertainties in large-scale power systems, leading to effective, adequate, and accurate results.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Arash Farokhi Soofi, Saeed D. Manshadi
Summary: This paper presents a framework to solve the strategic bidding problem of participants in an electricity market by employing the full AC Optimal Power Flow (ACOPF) problem formulation. Using tractable mathematical programming with equilibrium constraints for the convexified AC market-clearing problem, market participants can maximize their profit via strategic bidding while considering the reactive power dispatch of generation units. Results show that the strategic bidding problem with an ACOPF-based MCP improves the exactness of the Location Marginal Prices (LMPs) and profit of market participants compared to the one with DCOPF.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Operations Research & Management Science
Stephan Helfrich, Tyler Perini, Pascal Halffmann, Natashia Boland, Stefan Ruzika
Summary: This article explores the application of weighted Tchebycheff scalarization in multiobjective discrete optimization problems. By minimizing the weighted maximum distance between a feasible solution and a desirable reference point, any Pareto optimal image can be obtained. The article provides a comprehensive theory of eligible weights and analyzes the polyhedral and combinatorial structure of the weight set. These structural insights are linked to properties of the set of Pareto optimal solutions, contributing to a profound understanding of the weighted Tchebycheff scalarization method and its use in multiobjective optimization problems.
JOURNAL OF GLOBAL OPTIMIZATION
(2023)
Article
Management
Burak Buke, Mesut Sayin, Fehmi Tanrisever
Summary: This paper proposes a new multi-level iterative heuristic to clear the Turkish day-ahead electricity market auctions. It achieves an average optimality gap less than 0.09% and an average solution time of just 14 seconds, outperforming a commercial solver that takes an average of 18 minutes to find the optimal solution.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Economics
Yi Wan, Tom Kober, Martin Densing
Summary: This paper investigates the use of nonlinear demand functions fitted to electricity market bid data in large-scale energy market models. The results show that the use of nonlinear demand curves improves the modeling performance, especially during high price load periods, and reduces levels of implied market power.
Article
Engineering, Electrical & Electronic
Houhe Chen, Linbo Fu, Linquan Bai, Tao Jiang, Yaosuo Xue, Rufeng Zhang, Badrul Chowdhury, Joseph Stekli, Xue Li
Summary: This paper proposes a bi-level optimization model that considers the interactions between the distribution electricity market and the transmission wholesale market, as well as the resulting impacts. Equilibria of multiple Distribution System Operators (DSOs) and the Independent System Operator (ISO) are found by modeling the Locational Marginal Prices (LMPs) at substations and DER dispatch. Finally, the effectiveness of the proposed model and solution method is demonstrated through case studies.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Thermodynamics
Xiaohui Lu, Yang Yang, Peifang Wang, Yiming Fan, Fangzhong Yu, Nicholas Zafetti
Summary: A new optimization bidding strategy is proposed for case research in China's day-ahead market, using the Emperor Penguin Optimizer and probability functions. The approach involves clustering and fitness function estimation, showing statistically effective outcomes compared to other literature-based plans.
Article
Engineering, Environmental
Leyla Nourani, Seyed Nematolla Mosavi, Abdoulrasool Shirvanian
Summary: This study examines the economic impact of water market design on farmers' livelihood in Iran and finds that the formation of the water market leads to an increase in the gross margin of the total lands with irrigation network of Ramjerd plain.
Article
Energy & Fuels
Daniel Divenyi, Beata Polgari, Adam Sleisz, Peter Sores, David Raisz
Summary: The management of economically non-convex generators in deregulated electricity markets is a major challenge. The use of MICs as a method to represent non-convex generators on power exchanges has raised issues such as the lack of a direct mechanism to handle the Minimum Output Power (MOP) of generators, contradictory implications of bid price constraints and income criteria, and the potential for cheating opportunities due to distortions in social welfare calculation. New ways of MIC attachment are proposed to address these challenges, supported by comparative numerical simulations with realistic market data.
Article
Management
Gokhan Ceyhan, Murat Koksalan, Banu Lokman
Summary: This study focuses on the day-ahead electricity market clearing problem in the European electricity markets. The Benders decomposition algorithm is revisited and new valid inequalities are developed to enhance its performance. Experiments are conducted using instances that mimic the characteristics of past bids in the Turkish day-ahead electricity market. Comparison among different algorithms shows that the price-based cuts improve the performance of the Benders decomposition algorithm and outperform the primal-dual algorithm.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Tao Jiang, Chenghao Wu, Rufeng Zhang, Xue Li, Houhe Chen, Guoqing Li
Summary: This paper proposes a novel market-clearing model to facilitate energy and flexibility transactions through coordinating flexibility providers in both transmission and distribution networks. The model formulates the energy and flexibility market-clearing problem as a bi-level optimization model and uses KKT conditions and duality theory to transform it into a single-level mathematical program with equilibrium constraints (MPEC) model. Case studies verify the effectiveness of the proposed model.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Computer Science, Hardware & Architecture
Yue Zhuo, Zhiqiang Ge
Summary: Data-driven fault detection and classification systems are crucial for ensuring stability and security in modern industry. However, the security issue of these systems poses new challenges, as malicious adversarial attacks can severely damage the model's predictions. This article presents a scheme for formally and completely verifying the security properties of data-driven models using convex mathematical programming and a novel Pareto front approximation algorithm. The study covers both supervised and unsupervised models under different norms, providing deep insights into FDC systems' security. Comparison with related works validates the algorithm's performance in verification and Pareto front approximation.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Engineering, Electrical & Electronic
Amir Ali Nazari, Reza Keypour, M. H. Beiranvand, Nima Amjady
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Mohsen Yazdaninejad, Nima Amjady, Shahab Dehghan
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Engineering, Electrical & Electronic
Mohammad Ghamsari-Yazdel, Hamid Reza Najafi, Nima Amjady
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2020)
Article
Computer Science, Information Systems
Shahab Dehghan, Nima Amjady, Petros Aristidou
IEEE SYSTEMS JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Moein Esfahani, Nima Amjady, Bahareh Bagheri, Nikos D. Hatziargyriou
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Green & Sustainable Science & Technology
Mohammad Reza Ebrahimi, Nima Amjady
Summary: This paper presents a decision-driven stochastic adaptive-robust microgrid operation optimization model considering various uncertainties. It utilizes a combination of adaptive-robust optimization and stochastic programming to address continuous and binary uncertainties simultaneously. The proposed model and solution method are effectively demonstrated on the IEEE 69-bus test system in case studies.
IET RENEWABLE POWER GENERATION
(2021)
Article
Computer Science, Information Systems
Bahareh Bagheri, Nima Amjady, Shahab Dehghan
Summary: This article introduces a multi-scale multi-resolution uncertainty model for GMS problem in power system, addressing midterm and short-term uncertainties through plausible scenarios and polyhedral uncertainty sets. Affine policies are incorporated to make the approach tractable, and a stochastic affinely adjustable robust optimization (SAARO) problem is formulated to consider both midterm and short-term uncertainties. A new solution methodology involving stochastic optimization and probabilistic dual cut is presented, with numerical results confirming the effectiveness of the proposed model and approach.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Mohammad Ghamsari-Yazdel, Nima Amjady, Hamid Reza Najafi
Summary: This paper proposes a reintegration-based multi-objective intentional controlled islanding (ICI) model to enhance resiliency of electrical power systems under catastrophic events. The model relies on a mixed-integer linear programming approach and considers factors like charging reactive power, reliability, and capacity to reduce risks during reintegration. The model aims to address temporary load-generation imbalances in resulted islands to prevent frequency and voltage instability.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Tao Ding, Ming Qu, Nima Amjady, Fengyu Wang, Rui Bo, Mohammad Shahidehpour
Summary: This letter proposes a model for tracking the equilibrium point of the real-time locational marginal price based residential demand response program, where demand elasticity is modeled as a monotonically decreasing linear function of the LMP. The dual model, formulated as a convex quadratic problem using duality, is shown to be tractable to solve and find the global optimum. Numerical results on the IEEE 30-bus system verify the effectiveness of the demand response model.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Juan Arteaga, Hamidreza Zareipour, Nima Amjady
Summary: This paper introduces a risk-based optimal sizing model for Storage as Transmission Alternative (SATA) for Transmission Congestion Relief (TCR) services. The model considers Energy Storage as a Service (ESaaS) concept, where SATA's idle capacity can be rented out for market participation and the fees collected are credited back to the ratepayers to offset the overall costs of removing network congestion. Simulation results provide insights into the financial benefits and risks of sharing SATA's excess capacity for additional revenues.
Editorial Material
Engineering, Electrical & Electronic
M. Esfahani, N. Amjady, B. Bagheri, Nikos D. Hatziargyriou
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
AmirAli Nazari, Reza Keypour, Nima Amjady
Summary: The paper proposes a cooperative community storage expansion plan to jointly invest in energy storage systems, alleviating the burden of high investment costs and increasing overall economic benefits. The modified Nash bargaining theory approach ensures fair implementation of the cooperative framework, highlighting the advantages of cooperation.
Article
Engineering, Electrical & Electronic
Fatemeh Teymoori Hamzehkolaei, Nima Amjady, Bahareh Bagheri
Summary: This paper addresses the planning problem of residential micro-CHP systems, modeling thermal and electrical load uncertainties using a two-stage adaptive robust optimization method. A solution method involving a C&CG algorithm and BCD method was proposed, showing effective performance in a practical case study.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Engineering, Electrical & Electronic
Masoud Esmaili, Mohammad Ghamsari-Yazdel, Nima Amjady, C. Y. Chung
Summary: The proposed ICI-TEP method aims to improve the stability of islands by more efficient planning of transmission assets, resulting in more stable islands with lower load shedding and better coping with severe disturbances compared to conventional TEP.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Review
Engineering, Electrical & Electronic
Mehdi Izadi, Seyed Hossein Hosseinian, Shahab Dehghan, Ahmad Fakharian, Nima Amjady
Summary: This article presents a review of research works on evaluating power system resilience against disastrous and hazardous events. It discusses the differences between resilience and related concepts, presents resilience indices and techniques to increase power system resilience, reviews uncertainty handling approaches, and provides some concluding remarks.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
