Review
Energy & Fuels
Muhammad Musadiq Ahmed, Muhammad Amjad, Muhammad Ali Qureshi, Kashif Imran, Zunaib Maqsood Haider, Muhammad Omer Khan
Summary: Phasor measurement unit (PMU) technology is a crucial need in power systems, providing higher resolution and synchronized measurements for state estimation. However, the high cost and installation complexities are drawbacks of PMUs. Extensive research has been done on their use in electrical networks, and this paper presents a comprehensive review of the progress, highlighting the limitations of existing studies and filling research gaps in optimal PMU placement.
Article
Computer Science, Interdisciplinary Applications
Aref Gholizadeh Manghutay, Mehdi Salay Naderi, Seyed Hamid Fathi
Summary: Heuristic algorithms are widely used in optimization problems, but for accurate comparison, knowing the final optimal solution is essential. This paper introduces a novel deterministic method for optimal placement of mu PMUs in radial electricity distribution systems, showcasing short running time and small memory requirements. The method's uniqueness lies in its step-by-step placement approach, which shrinks unobservable parts of the system, providing a practical solution for power systems.
COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING
(2022)
Article
Automation & Control Systems
Rupanjali Bhattacharjee, Abhinandan De
Summary: This article presents a scheme for cost-optimized PMU placement and associated CI design. It proposes a bus ranking algorithm that considers connectivity, branch lengths, and network coverage to incentivize redundancy and reduce CI requirement. A genetic algorithm is then used to find minimum-cost optimal PMU placement solutions within the ranked-bus order. The proposed scheme's performance is validated through comparison with existing algorithms and under channel-limit conditions.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Shamsun Nahar Edib, Yuzhang Lin, Vinod M. M. Vokkarane, Xiaoyuan Fan
Summary: This article proposes a resilient cross-domain PMU and communication link placement method to minimize the overall installation cost of the wide-area measurement system (WAMS). The method breaks down the barrier between the power grid domain and the communication domain and considers the impact of one when designing the other. The PMU placement takes into account the cost of communication links while the communication link placement reduces the cost by customizing routing policies based on the different roles of PMUs in grid observability. The proposed design can withstand any single component failure in the power or communication domain.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Aditya Mishra, Raymond A. A. de Callafon
Summary: This paper proposes an algebraic approach to solve the PMU placement problem, focusing on complete voltage state estimation and PMU measurement noise. The approach determines the minimum number of PMUs needed for full voltage state observability and formulates an optimal PMU placement algorithm to minimize the variance of the voltage estimation. The algorithm groups nodes of the network based on the measured nodal voltages and currents, considering both single current-channel PMU and multi-current channel PMU cases. The proposed algorithm is tested on IEEE 14 bus and IEEE 39 bus network, showing significant reduction in the effects of PMU measurement noise.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Arshia Aflaki, Mohsen Gitizadeh, Ali Akbar Ghasemi, Kenneth E. Okedu
Summary: This paper presents the challenges of optimal measurement devices placement in the distribution system considering the improvement of accuracy and speed for state estimation in the presence of distributed generations. The binary dragonfly algorithm is used to investigate the issues and find a fair compromise between accuracy, speed, and the number of measurements.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Beytullah Bozal, Ali Ozturk, Salih Tosun, Bulent Hos
Summary: This study determines the optimal locations and numbers of PMU devices using Integer Linear Programming (ILP) and Binary Particle Swarm Optimization (BPSO) methods. The Dragonfly Algorithm (DA) is proposed as a new heuristic method for solving the problem. The results are compared with other studies and show that the power systems can be observed with fewer PMU devices, with a cost advantage provided by the DA method.
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2023)
Article
Engineering, Multidisciplinary
Mohamed Z. Kamh, Mohamed R. Younis, Amr M. Ibrahim
Summary: This paper introduces a new global optimal PMU placement approach based on the branch and bound algorithm, which provides the global minimum number and locations of PMUs for any power system. Different objective functions and system element or PMU loss are considered, demonstrating the accuracy and cost reduction of the proposed method.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Review
Engineering, Electrical & Electronic
Teena Johnson, Tukaram Moger
Summary: Situational awareness of the electric power system is crucial for preventing blackouts. Wide Area Monitoring System uses PMUs to measure power system states, but finding optimal locations for PMUs installation remains a challenge. Optimal Placement of PMUs (OPP) is a combinatorial optimization problem where progress has been made in research, but challenges still exist.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Riccardo Andreoni, David Macii, Matteo Brunelli, Dario Petri
Summary: This paper presents a tri-objective OPP strategy for distribution systems focusing on minimizing the total number of PMU channels, maximizing state estimation uncertainty reduction based on high-rate PMU data, and decreasing sensitivity to line parameter tolerances. The formulation considers system observability with and without contingencies, zero-injection buses, and a-priori constraints on PMU channels and measurements. Through NSGA-II, it is found that increasing PMUs or channels beyond certain thresholds does not significantly improve performance, and using dual three-phase channel PMUs can reduce the number of PMUs while maintaining estimation accuracy.
Article
Engineering, Electrical & Electronic
Zahra Pourahmad, Rahmat-Allah Hooshmand, Mohammad Ataei
Summary: This study proposes a new method to counter the false data injection (FDI) attack by using the optimal placement of phasor measurement units (PMUs). It determines all PMU placements that achieve network observability using the tabu search (TS) algorithm and identifies placements that minimize the possibility of a cyber-attack. Additionally, the study presents an optimization method to determine the optimal placement of a phasor data concentrator (PDC) considering the cost of communication infrastructure.
ELECTRICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
V Yuvaraju, S. Thangavel
Summary: This paper presents an optimal PMU placement technique that considers data traffic and installation cost index, and uses the TLBO technique to obtain optimal PMU positions. By considering the zero injection bus case, the PMU count and installation cost can be reduced.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Pooria Mohammadi, Shahab Mehraeen, Hamidreza Nazaripouya
Summary: This paper introduces an algorithm for finding the optimal sets of PMU locations to achieve fault observability while addressing the multi-estimation issue. The algorithm generalizes the impedance method to optimize PMU utilization and maintain the required minimum sensitivity in measurements for fault detection accuracy. It prevents multi-estimation by providing unique and distinctive measurement sets for each fault scenario.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2021)
Article
Engineering, Electrical & Electronic
Byoung-Ho Kim, Hongrae Kim
Summary: State estimation aims to estimate optimal state variables that represent the system’s current state based on measurement set. The PMU is a key technology improving monitoring, control, and state estimation. It allows direct measurement of state variables and synchronization using GPS time stamp.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2021)
Article
Computer Science, Theory & Methods
Meng Zhang, Zhuorui Wu, Jun Yan, Rongxing Lu, Xiaohong Guan
Summary: This paper proposes an attack-resilient PMU placement strategy that uses reinforcement learning guided tree search to place PMUs in order to protect as many buses as possible in smart grids. By screening vulnerable buses and exploring key buses, a reasonable placement order of PMUs is obtained.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Energy & Fuels
Panagiotis S. Karagiannopoulos, Nikolaos M. Manousakis, Constantinos S. Psomopoulos
Summary: This paper proposes a PCB maintenance framework that considers the impact of aging failures and repair/replacement costs, maximizing the benefit to the appliance's life expectancy within the customer's budget. Simulation results show the health benefits achieved for washing machine and dishwasher PCBs after 3 years.
Review
Green & Sustainable Science & Technology
Ioannis K. Bazionis, Panagiotis A. Karafotis, Pavlos S. Georgilakis
Summary: This review focuses on the state-of-the-art short-term wind power probabilistic forecasting models with an emphasis on improving accuracy and efficiency. The concept of short-term forecasts, case studies, advantages and disadvantages of methodologies have been analyzed in detail. Future directions in the field have also been proposed for further research.
IET RENEWABLE POWER GENERATION
(2022)
Article
Green & Sustainable Science & Technology
Nikolaos C. Koutsoukis, Pavlos S. Georgilakis
Summary: This paper proposes a multistage distribution network planning method that considers various planning alternatives, distributed generation units, and demand response, aiming to minimize the net present value of total investment and operational costs. The method, validated using real-world distribution networks, successfully incorporates different control capabilities and uncertainties for load demand and renewable power generation during the planning period.
IET RENEWABLE POWER GENERATION
(2022)
Article
Engineering, Electrical & Electronic
Iason-Iraklis Avramidis, Florin Capitanescu, Vasileios A. Evangelopoulos, Pavlos S. Georgilakis, Geert Deconinck
Summary: Following EU directives, the adoption of smart sustainable buildings in low voltage networks is expected to increase. This study proposes a coordination framework driven by smart sustainable buildings for the provision of ancillary services. The framework utilizes a novel model predictive control approach and considers collaboration between the distribution system operator and smart sustainable buildings.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Editorial Material
Energy & Fuels
Nikolaos M. Manousakis
Article
Engineering, Electrical & Electronic
Christos A. Apostolopoulos, Charalampos G. Arsoniadis, Pavlos S. Georgilakis, Vassilis C. Nikolaidis
Summary: This paper introduces a fault location algorithm for unbalanced power distribution systems with distributed generation, which accurately estimates the fault position and related parameters and identifies the most possible fault location candidate among multiple choices.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Vasileios A. Evangelopoulos, Theofanis P. Kontopoulos, Pavlos S. Georgilakis
Summary: This study introduces a novel model for managing flexibility services in the electrical power industry, aiming to maximize profits for both aggregators and distribution companies.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Iason-Iraklis Avramidis, Georgios Cheimonidis, Pavlos Georgilakis
Summary: This paper presents a methodology for identifying and suppressing ineffective control actions in optimal power flow and security-constrained optimal power flow problems. Through a 3-step process, transmission system operators are able to understand the value of each control action and eliminate inefficient ones that minimally impact the objective. The contributions of this study include considering all types of contingencies and control actions, applying the methodology to the security-constrained optimal power flow setting, and highlighting the gap between academia and industry in an area that is crucial for the industry.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Panagiotis Karafotis, Vasileios Evangelopoulos, Pavlos Georgilakis
Summary: This paper presents a novel path-based mixed-integer second-order cone programming model for optimizing the reliability-oriented distribution network reconfiguration (DNR) problem. The model considers multiple levels of load and renewable energy sources (RES) production and reveals a trade-off region between reliability indices and power losses through sensitivity analysis.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Energy & Fuels
Christos A. Apostolopoulos, Charalampos G. Arsoniadis, Pavlos S. Georgilakis, Vassilis C. Nikolaidis
Summary: This paper introduces two alternative formulations of a fault location algorithm for unbalanced medium voltage overhead distribution systems. The first formulation is based on synchronized three-phase voltage signals, while the second formulation eliminates the need for synchronization angle by combining unsynchronized voltage and currents measurements. The paper also proposes a multiple solutions elimination methodology and demonstrates the good performance of the fault location algorithms through extensive simulation studies.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Review
Green & Sustainable Science & Technology
Ioannis K. Bazionis, Markos A. Kousounadis-Knousen, Pavlos S. Georgilakis, Elham Shirazi, Dimitrios Soudris, Francky Catthoor
Summary: This paper provides a review of the current state of short-term Solar Power Forecasting (SPF) methodologies. It emphasizes the importance of developing accurate forecasting models to enhance the stability and control of energy systems and electricity markets. The paper focuses on short-term solar forecasting methodologies and classifies them based on climatic conditions, technical characteristics, and forecasting errors, allowing for comparative analysis and conclusions. Future directions in the field of short-term solar power forecasting are also proposed.
IET RENEWABLE POWER GENERATION
(2023)
Review
Engineering, Chemical
Nikolaos M. Manousakis, Panagiotis S. Karagiannopoulos, George J. Tsekouras, Fotios D. Kanellos
Summary: This paper provides a comprehensive review of the integration of renewable energy sources (RESs) and electric vehicles (EVs) into power systems. The bibliographic analysis shows that IEEE Access has the highest impact in this field. The paper categorizes the primary research objectives, including classification of EVs and RESs, incorporation of RESs and EVs in power systems with emphasis on emissions, establishment of EV charging stations and parking facilities, EV batteries and battery energy storage systems, strategies for managing the integration of RESs with EVs, EV aggregators, and the financial implications. The study also offers avenues for further research in unexplored areas.
Review
Energy & Fuels
Markos A. Kousounadis-Knousen, Ioannis K. Bazionis, Athina P. Georgilaki, Francky Catthoor, Pavlos S. Georgilakis
Summary: This paper evaluates scenario generation methods in the context of solar power and highlights their advantages and limitations. Furthermore, it introduces taxonomies based on weather classification techniques and temporal horizons. Fine-grained weather classifications can significantly improve the overall quality of the generated scenario sets. The performance of different scenario generation methods is strongly related to the temporal horizon of the target domain. This paper also conducts a systematic review of the currently trending deep generative models to assess introduced improvements, as well as to identify their limitations. Finally, several research directions are proposed based on the findings and drawn conclusions to address current challenges and adapt to future advancements in modern power systems.
Article
Energy & Fuels
Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis, Nikolaos Doulamis, Pavlos S. Georgilakis
Summary: This study proposes a residential smart EV charging framework that prioritizes solar PV power self-consumption for charging electric vehicles, aiming to accelerate the transition to a carbon neutral passenger vehicle fleet. The results show that compared to uncontrolled EV charging, the proposed method can increase the average self-consumption of solar energy for EV charging by 19.66%, reduce network stress by 7%, and decrease electricity bills by 10.3%.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Computer Science, Information Systems
Markos A. Kousounadis-Knousen, Ioannis K. Bazionis, Dimitrios Soudris, Francky Catthoor, Pavlos S. Georgilakis
Summary: A new co-optimized hybrid short-term probabilistic Wind Power Forecasting (WPF) model is proposed for constructing Prediction Intervals (PIs) in a spatiotemporal framework. The model is optimized using the Multi-Objective Improved Adaptive Particle Swarm Optimization (MOIAPSO) algorithm, and PIs are generated using the nonlinear autoregressive networks with exogenous inputs (NARX) and Lower Upper Bound Estimation (LUBE) method. A novel spatiotemporal framework is introduced to improve forecasting performance and comprehension of regional spatiotemporal uncertainty dynamics. The proposed model and framework achieve accurate forecasts with efficient uncertainty quantification and low computational complexity.
