Article
Engineering, Electrical & Electronic
Tao Ding, Ming Qu, Can Huang, Zekai Wang, Pengwei Du, Mohammad Shahidehpour
Summary: This paper introduces a multi-period active distribution network planning (ADNP) method with distributed generation (DG) to minimize total planning cost while considering DG uncertainties. It utilizes a multi-stage stochastic optimization model and a nested decomposition method to address computational challenges, and its effectiveness is verified on practical distribution systems.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Automation & Control Systems
Farhad Samadi Gazijahani, Javad Salehi, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This article proposes a novel algorithm to split distribution networks into self-healing microgrids, ensuring quick recovery and reliable power supply. It optimizes the operational scheduling of microgrids under islanded conditions to balance load and generation, maximizing profit and minimizing susceptibility to renewable energy variability.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Automation & Control Systems
Siyuan Wang, Guangchao Geng, Quanyuan Jiang, Rui Bo
Summary: The article compares discrete storage model (DSM) and continuous storage model (CSM) in power system planning and finds that DSM provides more reasonable storage sizing decisions than CSM. However, when considering DSM in interval optimization, the discrete status variables and temporal coupling pose challenges. To address this, a tailored interval optimization approach is proposed to incorporate both DSM and renewable energy uncertainty in generation expansion planning (GEP). The approach covers all worst cases in a given uncertainty set without requiring iterations and also introduces a bi-interval policy to balance investment cost and system security.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Bining Zhao, Jesse Bukenberger, Mort Webster
Summary: A multi-stage and multi-scale stochastic generation expansion planning (GEP) model is proposed to represent uncertainties in load and renewable generation. The study finds that scenario partitioning methods are more effective in determining appropriate investment levels, while covariance-based approximations perform the best overall.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Byungkwon Park, Yang Chen, Mohammed Olama, Teja Kuruganti, Jin Dong, Xiaofei Wang, Fangxing Li
Summary: This paper investigates the issues with existing price-based control strategies in demand response and proposes a solution by incorporating distribution locational marginal price (DLMP) to find the optimal demand response strategy. A robust bilevel model is also formulated to minimize the impact of forecasting errors on renewable energy resources. The simulation results demonstrate the mutual impacts of interaction between demand response and DLMP, as well as the benefits of the robust demand response strategy.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Review
Green & Sustainable Science & Technology
Abdollah Rastgou
Summary: This study provides a comprehensive investigation of the distribution network expansion planning (DNEP) problem, examining various aspects such as objective functions, constraints, design variables, and addressing issues like uncertainty, distributed generation, and storage. Future research directions, including conflict resolution and solving approaches, are also suggested.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Computer Science, Information Systems
Eyad S. Oda, Amal M. Abd El Hamed, Abdelfatah Ali, Adel A. Elbaset, Montaser Abd El Sattar, Mohamed Ebeed
Summary: This article addresses the optimal planning problem of integrating the Photovoltage Distributed Generation (PV-DG) and DSTATCOM system, proposing the Modified Ant Lion Optimizer (MALO) with two strategies to enhance the basic ALO searching ability. The simulation results demonstrate that considerable techno-economic benefits can be achieved by optimally including two PV-DGs and DSTATCOMs.
Article
Engineering, Electrical & Electronic
Qingxin Shi, Fangxing Li, Teja Kuruganti, Mohammed M. Olama, Jin Dong, Xiaofei Wang, Chris Winstead
Summary: This study proposes a fuel-based distributed generator allocation strategy to enhance the distribution system resilience against extreme weather. It uses a two-stage stochastic mixed-integer programming model to make decisions under budget constraints and minimize operating costs in uncertain fault scenarios. The effectiveness of the algorithm is demonstrated through case studies on IEEE 33-bus and 123-bus test systems.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Automation & Control Systems
Tripti Gangwar, Narayana Prasad Padhy, Premalata Jena
Summary: This article presents a comprehensive method for integrating energy storage systems into modern active distribution systems with photovoltaic resources. The method takes into account battery life cycle, load and photovoltaic output uncertainty, and system operation in islanded mode. It formulates a two-stage mixed-integer linear programming problem to determine battery capacity and number of discharge cycles in the first stage, and analyzes battery lifetime based on partial depth of discharge in the second stage. Probabilistic analysis and time-period clustering are used to consider the uncertainty and variability of photovoltaic and demand. The method is validated on different distribution networks, demonstrating its feasibility and scalability.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Milad Kabirifar, Mahmud Fotuhi-Firuzabad, Moein Moeini-Aghtaie, Niloofar Pourghaderi, Mohammad Shahidehpour
Summary: In this paper, a multi-agent framework is proposed to address the expansion planning problem in a restructured active distribution network. The framework considers the objectives and constraints of participating agents and applies optimization methods to achieve network and asset expansion planning as well as optimal operation management.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Agnes Marjorie Nakiganda, Shahab Dehghan, Uros Markovic, Gabriela Hug, Petros Aristidou
Summary: A hybrid, stochastic-robust investment planning model is proposed in this paper to consider both high-impact-low-frequency and low-impact-high-frequency uncertainties in Microgrids (MGs). The model incorporates static and transient islanding constraints to ensure the resilience of the MG.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Multidisciplinary
Shah Mohammad Rezwanul Haque Shawon, Xiaodong Liang, Mehrnoosh Janbakhsh
Summary: This paper proposes a method for optimal placement of DGs by minimizing total energy losses, which improves the performance of microgrids.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Milad Kabirifar, Mahmud Fotuhi-Firuzabad, Moein Moeini-Aghtaie, Niloofar Pourghaderi, Payman Dehghanian
Summary: This paper presents a new framework for multistage expansion planning in active power distribution networks. The framework considers active network management through clearing the local energy market at the distribution level. The proposed model is formulated as a bi-level optimization problem, where the upper level minimizes the costs imposed on the distribution system operator (DSO), while the lower level maximizes social welfare through clearing the local energy market. The implementation of the model on distribution test systems validates its performance in making cost-effective planning decisions.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Business, Finance
Qunxi Kong, Rongrong Li, Ziqi Wang, Dan Peng
Summary: In an environment of economic policy uncertainty, macroeconomic policy uncertainty inhibits the increase of firms' investment scale and efficiency while exacerbating the risk of overinvestment or underinvestment. Local economic policy uncertainty enhances a firm's investment scale but simultaneously exacerbates the risk of overinvestment or underinvestment, which in turn inhibits investment efficiency. Macro EPU promotes firms' R&D investment but inhibits their green investment, while local EPU inhibits R&D investment and promotes green investment.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2022)
Article
Engineering, Electrical & Electronic
Tayenne Dias de Lima, Alejandra Tabares, Nataly Banol Arias, John F. Franco
Summary: This paper proposes a multi-objective approach based on Stochastic Programming for Distribution System Expansion Planning (DSEP) to minimize investment & generation costs and CO2 emissions by modeling uncertainties through mixed-integer linear programming. Tests on a 54-node distribution system show that considering CO2 emissions in robust expansion plans leads to larger penetration of renewable resources and offers a trade-off between cost and emission objectives for expansion planners to make informed decisions based on specific needs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Mohammad Jooshaki, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Gregorio Munoz-Delgado, Javier Contreras, Matti Lehtonen, Jose M. Arroyo
Summary: This paper proposes an enhanced mixed-integer linear programming (MILP) model for multistage reliability-constrained distribution network expansion planning. The model incorporates an efficient and accurate reliability evaluation model, a customized technique for radial operation, and pragmatic measures to model reliability-related costs. The proposed planning approach considers practical reliability-related costs based on reliability incentive schemes and revenue lost during outages. The efficiency and applicability of the approach are illustrated through testing on four networks of different sizes.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Guillermo Gutierrez-Alcaraz, Berenice Diaz-Lopez, Jose M. Arroyo, Victor H. Hinojosa
Summary: This paper introduces a new formulation for the preventive security-constrained unit commitment problem, taking into account the impact of N-k line outages and transmission losses on transmission constraints. The methodology includes the use of line outage distribution factors and piecewise linear expressions to ensure the safety and efficiency of power system operation.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Pablo Diaz-Cachinero, Jose Ignacio Munoz-Hernandez, Javier Contreras
Summary: This article proposes a two-stage stochastic energy scheduling model for optimizing the energy resources of microgrids. The model considers real-time operations based on wind and photovoltaic solar power, baseload demand, and electric vehicle demand, and is validated on an IEEE-37 bus system.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Alejandra Tabares, Gregorio Munoz-Delgado, John F. Franco, Jose M. Arroyo, Javier Contreras
Summary: This paper proposes a new mathematical model for the multistage distribution network expansion planning problem considering reliability. The model minimizes the total cost and introduces novel algebraic expressions for a reliability index, providing a framework for high-quality solutions with efficient computational effort.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Hooman Khaloie, Amjad Anvari-Moghaddam, Javier Contreras, Jean-Francois Toubeau, Pierluigi Siano, Francois Vallee
Summary: This paper presents a stochastic framework for offering and bidding strategies of a hybrid power generation system with a wind farm and two types of energy storage facilities. By participating in consecutive electricity markets and incorporating demand response resources, the model effectively addresses energy imbalances. Results from simulations demonstrate considerable profit gain and risk reduction achieved by the suggested offering and bidding framework.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Review
Green & Sustainable Science & Technology
Lina Silva-Rodriguez, Anibal Sanjab, Elena Fumagalli, Ana Virag, Madeleine Gibescu
Summary: This paper provides a comprehensive investigation and detailed assessment of modifications proposed in the literature for the European electricity markets in the short-term timescale. It identifies the barriers hindering market performance and explores various market solutions proposed in the literature. The analysis shows that no single proposal can address all the barriers simultaneously, highlighting the need for a future-proof market design that combines different elements of proposed solutions to overcome implementation challenges and mitigate market barriers.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Ibtihal Abdelmotteleb, Elena Fumagalli, Madeleine Gibescu
Summary: This study investigates the procurement of demand-side flexibility at the distribution network level, highlighting the need for long-term customer engagement as a cost-efficient alternative to traditional network reinforcement. A methodology is proposed to assess the impact of customer engagement on network reinforcement requirements and total system costs, with simulation results showing significant enhancement of a demand response program when implemented alongside a dynamic distribution network tariff.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Lina Silva-Rodriguez, Anibal Sanjab, Elena Fumagalli, Ana Virag, Madeleine Gibescu
Summary: This paper proposes a light robust mechanism for day-ahead market clearing to find a balance between robustness and economic efficiency, encouraging participation of stochastic producers.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Energy & Fuels
Fernando Cerna, Mahdi Pourakbari-Kasmaei, Raone G. Barros, Ehsan Naderi, Matti Lehtonen, Javier Contreras
Summary: This paper proposes a mixed-integer linear programming model to efficiently manage storage batteries and household appliances in Neighboring Energy Storage Communities. The model aims to minimize total costs and reduce energy wastage while ensuring optimal operation of the storage batteries.
Review
Energy & Fuels
Nadine Kabbara, Mohand Ouamer Nait Belaid, Madeleine Gibescu, Luis Ramirez Camargo, Jerome Cantenot, Thierry Coste, Vincent Audebert, Hugo Morais
Summary: This article presents a survey on software-defined Protection, Automation, and Control (PAC) for power systems, which aims to address the challenges brought by the increase in distributed energy resources. The decoupling of functionalities from hardware-dependent implementations by virtualization facilitates the transition from a traditional power grid to a software-defined smart grid. The potential of software-defined PAC systems for future developments is promising, and standardization plays a critical role in enabling virtual IED software development and deployments, configuration tools, performance benchmarking, and compliance testing.
Article
Energy & Fuels
Mario A. Mejia, Leonardo H. Macedo, Gregorio Munoz-Delgado, Javier Contreras, Antonio Padilha-Feltrin
Summary: This paper presents a new mixed-integer linear programming formulation for planning active distribution networks and non-utility-owned electric vehicle charging stations, using network reconfiguration as an option. The method employs multi-objective optimization to address the commercial interests of both the utility and the EVCS owner separately. The proposed model aims to minimize the total expected cost for both owners, taking into account uncertainties related to various factors. The effectiveness of the model has been demonstrated in a 69-node network, showing the potential of network reconfiguration to reduce conflicts in decision-making.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
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)
