Assessing a Transition to 100% Renewable Power Generation in a Non-interconnected Area: A Case Study for La R ́Eunion Island

Abstract In this paper, we present a global and multi-timescale approach for assessing energy tran- sition policies aiming at fully renewable generation in power systems of non-interconnected areas, typically islands or isolated regions. The approach links together three dynamic mod- els:(i) a capacity expansion model, ETEM-SG, proposes an investment and production plan for typical days, at the horizon 2030; (ii) a simplified dispatch model is used to validate the production plan for a full year data of weather and demand variations and; (iii) a static & dynamic power system analysis is used to assess the stability of the new power network for fast occurring events like, e.g., a sudden reduction of renewable production. The proposed three-stage approach generates a least-cost long-term investment planning that ensures a supply-demand balance at an hourly time-step and power network statibility at a few mil- lisecond time scale. The presentaion is based on a case study fully described in a report [1] made with ADEME, the French Agency for ecological transition, for the French island La R ́eunion. It shows how a reliable 100% renewable power supply is reachable by 2030, in this area.

Download Full-text

State-Space Model of Quasi-Z-Source Inverter-PV Systems for Transient Dynamics Studies and Network Stability Assessment

Energies ◽

10.3390/en14144150 ◽

2021 ◽

Vol 14 (14) ◽

pp. 4150

Author(s):

Lluís Monjo ◽

Luis Sainz ◽

Juan José Mesas ◽

Joaquín Pedra

Keyword(s):

Power Systems ◽

State Space ◽

State Space Model ◽

Pv System ◽

Pv Systems ◽

Renewable Power ◽

Ac Networks ◽

Transient Interactions ◽

The Stability ◽

Averaged Model

Photovoltaic (PV) power systems are increasingly being used as renewable power generation sources. Quasi-Z-source inverters (qZSI) are a recent, high-potential technology that can be used to integrate PV power systems into AC networks. Simultaneously, concerns regarding the stability of PV power systems are increasing. Converters reduce the damping of grid-connected converter systems, leading to instability. Several studies have analyzed the stability and dynamics of qZSI, although the characterization of qZSI-PV system dynamics in order to study transient interactions and stability has not yet been properly completed. This paper contributes a small-signal, state-space-averaged model of qZSI-PV systems in order to study these issues. The model is also applied to investigate the stability of PV power systems by analyzing the influence of system parameters. Moreover, solutions to mitigate the instabilities are proposed and the stability is verified using PSCAD time domain simulations.

Download Full-text

The impact of climatic extreme events on the feasibility of fully renewable power systems: A case study for Sweden

Energy ◽

10.1016/j.energy.2019.04.128 ◽

2019 ◽

Vol 178 ◽

pp. 695-713 ◽

Cited By ~ 6

Author(s):

Stefan Höltinger ◽

Christian Mikovits ◽

Johannes Schmidt ◽

Johann Baumgartner ◽

Berit Arheimer ◽

...

Keyword(s):

Power Systems ◽

Extreme Events ◽

Renewable Power ◽

The Impact

Download Full-text

The impact of operating reserves on investment planning of renewable power systems

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7981269 ◽

2017 ◽

Cited By ~ 1

Author(s):

Arne van Stiphout ◽

Kristof De Vos ◽

Geert Deconinck

Keyword(s):

Power Systems ◽

Investment Planning ◽

Renewable Power ◽

The Impact

Download Full-text

Adaptive Neuro-Fuzzy Synchronization in Isolated Power Systems with High Wind Penetration

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2016.p0418 ◽

2016 ◽

Vol 20 (3) ◽

pp. 418-428

Author(s):

Michael Negnevitsky ◽

◽

Dusan Nikolic ◽

Martin de Groot ◽

◽

...

Keyword(s):

Power Systems ◽

Diesel Generator ◽

Synchronization Problem ◽

Neuro Fuzzy ◽

Harmful Emissions ◽

Diesel Generators ◽

The Stability ◽

Systems Simulation ◽

System Frequency

Isolated power systems (IPSs) worldwide are traditionally powered by diesel generators that are very expensive to run and produce harmful emissions. In order to mitigate these problems, wind turbines are being introduced into existing IPSs. Although this integration has been reasonably effective at reducing running costs and emissions, high levels of wind penetration cause large system frequency variations, resulting in a prolonged synchronization process for newly dispatched diesel generators. Long synchronization can compromise the stability of a small IPS. This paper examines the diesel synchronization problem using a real IPS as a case study and offers a solution by introducing the concept of predictive synchronization based on adaptive neuro-fuzzy systems. Simulation results demonstrate a significant reduction in diesel generator synchronization times.

Download Full-text

Frequency Control of Large-Scale Interconnected Power Systems via Battery Integration: A Comparison Between the Hybrid Battery Model and WECC Model

10.20944/preprints202107.0465.v1 ◽

2021 ◽

Author(s):

Roghieh Abdollahi Biroon ◽

Pierluigi Pisu ◽

David Schoenwald

Keyword(s):

Power Systems ◽

Power System ◽

Large Scale ◽

System Analysis ◽

Hybrid Control ◽

Frequency Control ◽

Renewable Energy Sources ◽

Control Design ◽

Energy Sources ◽

The Stability

The increasing penetration of renewable energy sources in power grids highlights the role of battery energy stor- age systems (BESSs) in enhancing the stability and reliability of electricity. A key challenge with the renewables’, specially the BESSs, integration into the power system is the lack of proper dynamic model for stability analysis. Moreover, a proper control design for the power system is a complicated issue due to its complexity and inter-connectivity. Thus, the application of decentralized control to improve the stability of a large- scale power system is inevitable, especially in distributed energy sources (DERs). This paper presents an optimal distributed hybrid control design for the interconnected systems to suppress the effects of small disturbances in the power system employing utility-scale batteries based on existing battery models. The results show that i) the smart scheduling of the batteries’ output reduces the inter-area oscillations and improves the stability of the power systems; ii) the hybrid model of the battery is more user-friendly compared to the Western electricity coordinating council (WECC) model in power system analysis.

Download Full-text

Obtaining approximate region of asymptotic stability by computer algebra: A case study

The South Pacific Journal of Natural and Applied Sciences ◽

10.1071/sp02011 ◽

2002 ◽

Vol 20 (1) ◽

pp. 56 ◽

Cited By ~ 3

Author(s):

S Prakash ◽

J Vanualailai ◽

T Soma

Keyword(s):

Asymptotic Stability ◽

Computer Algebra ◽

System Analysis ◽

Direct Method ◽

Quantifier Elimination ◽

Optimization Method ◽

Analysis And Design ◽

The Stability ◽

Computer Algebra Software

One of the classical problems in nonlinear control system analysis and design is to find a region of asymptotic stability by the Direct Method of Lyapunov. This paper tentatively shows, via a numercial example, that this problem can be easily solved using Quantifier Elimination (QE). In particular, if the governing equations are described by differential equations containing only polynomials, then the problem can be conveniently solved by a computer algebra software packages such as Qepcad or Redlog. In our case study, we use a simple Lyapunov function and Qepcad to estimate the stability region, and the results are verified by an optimization method based on Lagrange's method.

Download Full-text

The Impact of Operating Reserves on Investment Planning of Renewable Power Systems

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2016.2565058 ◽

2017 ◽

Vol 32 (1) ◽

pp. 378-388 ◽

Cited By ~ 30

Author(s):

Arne van Stiphout ◽

Kristof De Vos ◽

Geert Deconinck

Keyword(s):

Power Systems ◽

Investment Planning ◽

Renewable Power ◽

The Impact

Download Full-text

Integrating energy sectors in a state-resolved energy system model for Australia

10.5194/egusphere-egu2020-20428 ◽

2020 ◽

Author(s):

Tina Aboumahboub ◽

Robert Brecha ◽

Matthew Gidden ◽

Andreas Geiges ◽

Himalaya Bir Shrestha

Keyword(s):

Renewable Energy ◽

Power Systems ◽

Power System ◽

Energy Resource ◽

Energy System ◽

System Model ◽

Power Sector ◽

Time Step ◽

Renewable Power ◽

Industrial Sectors

Australia represents an interesting case for energy system transformation modeling.&#160; Wile it currently has a power system dominated by fossil fuels, and specifically with a heavy coal component, there is also vast potential for expansion and use of renewable energy.&#160; Geographically, the country is divided into seven states and territories, two of which have power systems isolated from the rest of the country. Regions have widely differing characteristic energy mixes and resources, ranging from high reliance on brown coal (Victoria), black coal (New South Wales, Queensland), natural gas (Northern Territory, Western Australia) to states that have already moved toward renewable energy-dominant systems (South Australia, Tasmania). Renewable power systems across Australia are experiencing rapid growth, particularly in solar photovoltaics and to a lesser extent with wind power and battery storage.&#160;In order to better understand the further potential expansion of renewable power systems in Australia, we developed the Australian Energy Modelling System (AUSeMOSYS) based on the open-source OSeMOSYS framework. We apply AUSeMOSYS to investigate cost-optimal transformation pathways towards a carbon-neutral energy system. The model is calibrated carefully to recent past trends in energy generation, including the recent and near-future rapid uptake of renewables in different regions, whether by policy decision or autonomous development.&#160; Beyond the power sector, AUSeMOSYS also provides scenario pathways for the uptake of electric vehicles and hydrogen powered transport, coupled to the power sector with a timeline through 2050. In order to investigate the full extent of renewable energy expansion given Australia&#8217;s recognized large renewable energy resource potential, we link selected industrial sectors to the power system model, e.g. steel production, where use of electric generation can further decarbonize Australia&#8217;s economy via hydrogen production and use.In addition to the results showing the potential for large, integrated, cross-sectoral penetration of renewable energy into the Australian energy mix, we investigate modeling sensitivities to key parameters that can affect the uptake and use of renewable energy in the power system. For example, we study sensitivities in the choice of time-step resolution, the availability of trade between states in the National Energy Market (NEM) and the choice of carbon price and carbon cap pathways that can lead to near-zero emissions from the energy system by mid-century.

Download Full-text