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IEEE power Engineering Society Conference and Exposition in Africa, powerAfrica

作者： Albert Chitandula Anas Abuzayed Francis Mulolani Kumbuso Joshua Nyoni Musa Ndiaye Albert Solà Vilalta Electrical Engineering Department The Copperbelt University Kitwe Zambia Institute for Sustainable Energy Systems Offenburg University of Applied Sciences Offenburg Germany School of Geosciences University of Edinburgh Edinburgh United Kingdom Department of Statistics and Operations Research Universitat Politecnica de Catalunya Barcelona Spain

ISBN: (数字)9798350389388

ISBN: (纸本)9798350389395

The green growth paradigm aims to harmonize economic growth with environmental sustainability. Electricity is essential for economic development, and if its associated carbon emissions are sufficiently low, it is a key enabler of green growth and sustainable development. Zambia, a developing country, had only 32.5% of households with access to electricity in 2022. This paper provides a comprehensive overview of power system modeling tools applicable in Zambia and evaluates the ongoing and completed power system modeling initiatives in the Zambian energy space. The study discusses the key features, applicability, and relevance of various modeling tools, including PyPSA-Earth, OSeMOSYS, MAED, MESSAGE, and WASP. Findings indicate that while many tools are available, the selection and adaptation of these tools are crucial for addressing the specific challenges in Zambia's power system. This paper aims to support the strategic planning necessary to achieve a sustainable low-carbon energy transition in Zambia.

关键词： Reviews Electricity Green products Strategic planning Data models Security Reliability power system modeling Sustainable development Resilience

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power system modeling for Identification and Control Applications using Modelica and OpenIPSL

Power System Modeling for Identification and Control Applica...

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Control Technology and Applications (CCTA),

作者： Luigi Vanfretti Christopher R. Laughman ECSE Department Rensselaer Polytechnic Institute Troy NY USA Mitsubishi Electric Research Laboratories (MERL) Cambridge MA USA

ISBN: (数字)9798350370942

ISBN: (纸本)9798350370959

The open-access Modelica language offers unique modeling features that enable power system modeling for identification and control applications. In this paper, we illustrate how the language can be used for these purposes leveraging the Modelica-based OpenIPSL library. With the goal of expanding the application of the language in system identification and control applications, the paper provides open-source models of different networks that can be re-utilized by the control community. Although the models in this paper target specific power system dynamic phenomena, that is, local low-frequency oscillation monitoring and control, they can easily be extended to address other power system dynamic issues.

关键词： Damping power system dynamics Process control Control systems power grids system identification power system modeling

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power system modeling, Computation, and Control 1

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丛书名： IEEE Press

2019年

作者： Joe H. Chow Juan J. Sanchez‐Gasca

ISBN: (数字)9781119546924

ISBN: (纸本)9781119546870

Provides students with an understanding of the modeling and practice in power system stability analysis and control design, as well as the computational tools used by commercial vendors Bringing together wind, FACTS, HVDC, and several other modern elements, this book gives readers everything they need to know about power systems. It makes learning complex power system concepts, models, and dynamics simpler and more efficient while providing modern viewpoints of power system analysis. power system modeling, Computation, and Control provides students with a new and detailed analysis of voltage stability; a simple example illustrating the BCU method of transient stability analysis; and one of only a few derivations of the transient synchronous machine model. It offers a discussion on reactive power consumption of induction motors during start-up to illustrate the low-voltage phenomenon observed in urban load centers. Damping controller designs using power system stabilizer, HVDC systems, static var compensator, and thyristor-controlled series compensation are also examined. In addition, there are chapters covering flexible AC transmission systems (FACTS)—including both thyristor and voltage-sourced converter technology—and wind turbine generation and modeling. Simplifies the learning of complex power system concepts, models, and dynamics Provides chapters on power flow solution, voltage stability, simulation methods, transient stability, small signal stability, synchronous machine models (steady-state and dynamic models), excitation systems, and power system stabilizer design Includes advanced analysis of voltage stability, voltage recovery during motor starts, FACTS and their operation, damping control design using various control equipment, wind turbine models, and control Contains numerous examples, tables, figures of block diagrams, MATLAB plots, and problems involving real systems Written by experienced educators whose previous books and papers are used extensivel

关键词： power system analysis electric power system power electronics power technology power engineering power system stability analysis system dynamics voltage stability power system modeling HVDC FACTS wind turbine-generators model reduction electrical engineering

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Applicability of a Clustered Unit Commitment Model in power system modeling

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IEEE TRANSACTIONS ON power systemS 2018年第2期33卷 2195-2204页

作者： Meus, Jelle Poncelet, Kris Delarue, Erik Univ Leuven KU Leuven Dept Mech Engn B-3000 Leuven Belgium Flemish Intitute Technol Res VITO B-3000 Mol Belgium

Clustered unit commitment (CUC) formulations have been proposed to provide accurate and fast approximations to the unit commitment (UC) problem. In these formulations, identical or similar plants are grouped into clusters. This way, the binary commitment variables of all the plants within a cluster can be replaced by a single integer variable. This approach has recently been mainly used for tractably integrating flexibility constraints in generation expansion planning problems. However, a thorough general validation is still missing. In addition, these formulations do not provide commitment schedules on a plant-by-plant level and hence cannot be used directly for operating actual systems or markets. A first contribution of this paper is to show that errors can be introduced both due to the problem formulation and the grouping of nonidentical units. A case study is presented in which these errors are quantified under different conditions. Overall, the error in approximating the total cost does not exceed 0.06%. A second contribution of this paper is the development of a hybrid approach, which sequentially uses a CUC and a traditional UC model. This approach allows to reduce the computational cost of solving the UC problem while providing a guaranteed feasible and near-optimal solution.

关键词： Clustered unit commitment mixed integer programming power system modeling unit commitment

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Carpe diem: A novel approach to select representative days for long-term power system modeling

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ENERGY 2016年 112卷 430-442页

作者： Nahmmacher, Paul Schmid, Eva Hirth, Lion Knopf, Brigitte Potsdam Inst Climate Impact Res PIK POB 601203 D-14412 Potsdam Germany Tech Univ Berlin Econ Climate Change Str 17 Juni 145 D-10623 Berlin Germany Neon Neue Energieokonom GmbH Karl Marx Pl 12 D-12043 Berlin Germany Mercator Res Inst Global Commons & Climate Change Torgauer Str 12-15 D-10829 Berlin Germany

With an increasing share of wind and solar energy in power generation, properly accounting for their temporal and spatial variability becomes ever more important in power system modeling. To this end, a high temporal resolution is desirable but due to computational restrictions rarely feasible in long-term models that span several decades. Therefore many of these models only include a small number of representative 'time slices' that aggregate periods with similar load and renewable electricity generation levels. The deliberate selection of the time slices to consider in a model is vital, as an inadequate choice may significantly distort the model outcome. However, established selection methods are only based on demand variations and are not applicable to input data with a large number of fluctuating time series, which is a drawback for models with high shares of renewable energy. In this paper, we present and validate a novel and computational efficient time slice approach that is readily applicable to input data for all kinds of power system models. We illustratively determine representative days for the long-term model LIMES-EU and show that a small number of model days developed in this way is sufficient to reflect the characteristic fluctuations of the input data. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： power system modeling Variability Renewable energy sources Time slices

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A New Method for power system Load modeling Using a Nonlinear system Identification Estimator

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2016年第4期52卷 3535-3542页

作者： Jahromi, Mohsen Ghaffarpour Mitchell, Steven D. Mirzaeva, Galina Gay, David Univ Newcastle Sch Elect & Comp Engn Callaghan NSW 2308 Australia

This paper proposes a new method for measurement-based modeling of nonlinear loads in power systems. The proposed method includes a combination of a binary tree algorithm with nonlinear autoregressive with exogenous input (NARX) identification. This paper demonstrates that the new method performs well without any prior knowledge of the system structure. In contrast to other load modeling methods, which are typically aimed for particular studies or load types, the proposed method can be used with any load type and for any study. Accurate load modeling is particularly important for studies of industrial networks and grids. In the study described, a field data set was collected at a mine site from a large electrical rope shovel. This data set has been used to develop a model of the rope shovel based on the proposed binary tree-NARX algorithm. When compared to other known methods, such as wavelet and sigmoid networks, the proposed method has shown the fastest training time and the highest accuracy. Finally, the modeling results have been verified against another set of field measurements from an existing network and have shown a very good agreement.

关键词： Load modeling mining industry power quality power system harmonics power system identification power system modeling

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A New Method for power system Load modeling Using a Nonlinear system Identification Estimator 51

A New Method for Power System Load Modeling Using a Nonlinea...

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51st Annual Meeting of the IEEE-Industry-Applications-Society (IAS)

作者： Jahromi, Mohsen Ghaffarpour Mitchell, Steven D. Mirzaeva, Galina Gay, David Univ Newcastle Sch Elect & Comp Engn Callaghan NSW 2308 Australia

ISBN: (纸本)9781479983957

关键词： Load modeling mining industry power quality power system harmonics power system identification power system modeling

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Fast and accurate simulation of smart digital controllers in power system dynamic studies

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SUSTAINABLE ENERGY GRIDS & NETWORKS 2025年 42卷

作者： Jafari, Mehran Bureau, Gautier Chiaramello, Marco Guironnet, Adrien Panciatici, Patrick Aristidou, Petros Cyprus Univ Technol Limassol Cyprus RTE Paris France

In recent decades, the number of smart digital controllers employed in electric power systems has increased drastically. Either from the modernization of existing analog ones or the introduction of new, data-driven, or even optimization-based controllers, they are now dominating the behavior of power systems. However, this introduces a challenge in the simulation of power system dynamics, as the existing numerical simulation methods are very time-consuming when tackling the resulting hybrid differential-algebraic systems. In this paper, a novel interpolation-based method is proposed for performing fast and accurate dynamic simulations of electric power systems equipped with smart digital controllers. This method fully exploits the potential of variable time-step integration methods without requiring a time-step reduction in the case of discrete events stemming from digital controllers. Therefore, it accelerates the numerical simulation of large-scale systems containing many non-equation-based smart digital controllers, while maintaining accuracy. The performance of the proposed method is showcased using both conventional and smart digital controllers.

关键词： Smart digital controllers power system dynamic simulations power system modeling Hybrid differential-algebraic equations Discontinuities

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A Novel Approach for power system Protection Simulation via the IEC 61850 Protocol

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IEEE ACCESS 2024年 12卷 107656-107669页

作者： Agin, Abdulvehhab Demiroren, Aysen Usta, Omer Istanbul Tech Univ Dept Elect Engn TR-34485 Istanbul Turkiye

This research addresses a significant gap in power system protection methodologies by developing a dedicated simulation environment that supports the communication of protection relays via the IEC 61850 protocol. Current studies have focused on hardware-in-the-loop approaches, but there is a lack of research in the software-in-the-loop domain. This limitation means that manufacturer-independent simulations cannot be performed, restricting testing to the capabilities provided by the manufacturer. By introducing a relay capable of communicating within a Simulink-modeled power system through socket programming, this study harnesses the capabilities of the IEC 61850 GOOSE protocol and sampled values. This work aims to eliminate the manufacturer dependencies present in hardware-in-the-loop approaches, thereby enabling the independent development of new protection and control strategies in an academic context. Furthermore, by facilitating advanced communication strategies through a detailed simulation framework, this research contributes to the broader field of electrical engineering by offering a robust tool for developing, testing, and validating new relay communication techniques and protection schemes. This approach not only fills a critical gap in simulation capabilities but also paves the way for future advancements in power system protection and management regarding the IEC 61850 protocol.

关键词： Electrical power systems GOOSE protocol IEC 61850 standard power system modeling power system protection power system simulation relay communication sampled values Simulink socket programming GOOSE protocol IEC 61850 standard power system modeling power system protection power system simulation relay communication sampled values Simulink socket programming

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Incorporating operational constraints into long-term energy planning: The case of the Egyptian power system under high share of renewables

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ENERGY 2024年 300卷

作者： Hamdi, Mohamed El Salmawy, Hafez A. Ragab, Reda Zagazig Univ Fac Engn Mech Power Engn Dept Zagazig 44519 Egypt

This study assesses the performance of Egypt ' s energy system on a short-term basis to ensure that it can handle a high share of renewable energy, as predicted in the long-term planning up to 2040. PLEXOS software is used for short-term analysis to simulate operational performance on an hourly basis while considering the constraints of Unit Commitment (UC) and Economic Dispatch (ED). The long-term energy planning model, which covered the years 2020 - 2040 with chosen representative years (2020 as the base year and 2025, 2030, 2035, and 2040), was validated by the short-term operational model. The results from the short-term analysis indicate that by the year 2040, 69.5 % of the electricity mix from renewable energy sources (excluding hydro) can be accommodated, representing a slightly lower capacity than the 70 % predicted by the long-term plan. Due to the high share of intermittent renewable energy sources, traditional generators will experience excessive cycling in 2040. The average weighted short -run marginal cost in 2040 is projected to be 7.8 USD/MWh, compared to 18.37 USD/ MWh in 2020, due to the low operating costs of renewable energy plants and their high penetration in 2040. Various operational techniques have been suggested to reduce the curtailment of renewable energy to achieve only 1.2 % of the total energy generation of the system by 2040. Additionally, other adjustments to the system operation are being considered to maintain a balance in the power system on a short-term basis.

关键词： power system modeling Short-term planning PLEXOS Unit commitment Electricity mix Renewable energy high penetration

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