Stochastic optimal robust design of a new multi-stage under-frequency load shedding system considering renewable energy sources

Author(s):  
Ali Rafinia ◽  
Jamal Moshtagh ◽  
Navid Rezaei
Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3599 ◽  
Author(s):  
Martinez-Fernandez ◽  
deLlano-Paz ◽  
Calvo-Silvosa ◽  
Soares

Carbon mitigation is a major aim of the power-generation regulation. Renewable energy sources for electricity are essential to design a future low-carbon mix. In this work, financial Modern Portfolio Theory (MPT) is implemented to optimize the power-generation technologies portfolio. We include technological and environmental restrictions in the model. The optimization is carried out in two stages. Firstly, we minimize the cost and risk of the generation portfolio, and afterwards, we minimize its emission factor and risk. By combining these two results, we are able to draw an area which can be considered analogous to the Capital Market Line (CML) used by the Capital Asset Pricing model (CAPM). This area delimits the set of long-term power-generation portfolios that can be selected to achieve a progressive decarbonisation of the mix. This work confirms the relevant role of small hydro, offshore wind, and large hydro as preferential technologies in efficient portfolios. It is necessary to include all available renewable technologies in order to reduce the cost and the risk of the portfolio, benefiting from the diversification effect. Additionally, carbon capture and storage technologies must be available and deployed if fossil fuel technologies remain in the portfolio in a low-carbon approach.


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6639
Author(s):  
Ifedayo Oladeji ◽  
Ramon Zamora ◽  
Tek Tjing Lie

The proliferation of renewable energy sources distributed generation (RES-DG) into the grid results in time-varying inertia constant. To ensure the security of the grid under varying inertia, techniques for fast security assessment are required. In addition, considering the high penetration of RES-DG units into the modern grids, security prediction using varying grid features is crucial. The computation burden concerns of conventional time-domain security assessment techniques make it unsuitable for real-time security prediction. This paper, therefore, proposes a fast security monitoring model that includes security prediction and load shedding for security control. The attributes considered in this paper include the load level, inertia constant, fault location, and power dispatched from the renewable energy sources generator. An incremental Naïve Bayes algorithm is applied on the training dataset developed from the responses of the grid to transient stability simulations. An additive Gaussian process regression (GPR) model is proposed to estimate the load shedding required for the predicted insecure states. Finally, an algorithm based on the nodes’ security margin is proposed to determine the optimal node (s) for the load shedding. The average security prediction and load shedding estimation model training times are 1.2 s and 3 s, respectively. The result shows that the proposed model can predict the security of the grid, estimate the amount of load shed required, and determine the specific node for load shedding operation.


2015 ◽  
Vol 4 (1) ◽  
pp. 17-21
Author(s):  
Domán Szilvia ◽  
Tamus Antalné ◽  
Erdélyi Tamás ◽  
Elena Horská

Abstract Within the frame of the North Hungarian region's eco-energy program, we examined the change of residents’ attitudes to alternative energy sources during a multi-stage primary research. The level of familiarity and knowledge of the population, the examination of the source of knowledge and the analysis of renewable energy sources’ judgment were the main areas of the standard interviews. According to our hypothesis, all of the information supply and attitudes related to the subject changed in a positive direction. The use of renewable energy sources is mainly dependent on the consumers’ and residents’ attitude in the given region. Consequently, we consider the knowledge of residents’ attitude particularly important and that the multi-stage research was needed. Primary research was performed in form of standard interviews in households during 2006. Our research in 2009 and 2014 indicated the next phase, where we studied, how the relationship of the parties concerned to renewable energy sources has changed during the past three years.


Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1389 ◽  
Author(s):  
Nenad Jovanović ◽  
Javier García-González ◽  
Santiago Cerisola ◽  
Julián Barquín

The increasing share of renewable energy sources, such as wind and solar generation, has a direct impact on the planning and operation of power systems. In addition, the consideration of risk criteria within the decision support tools used by market participants (generation companies, energy services companies, and arbitrageurs) is becoming a common activity given the increasing level of uncertainties faced by them. As a consequence, the behavior of market participants is affected by their level of risk aversion, and the application of equilibrium-based models is a common technique used in order to simulate their behavior. This paper presents a multi-stage market equilibrium model of risk-averse agents in order to analyze up to what extent the operation of hydro reservoirs can be affected by the risk-averse profile of market participants in a context of renewable energy source penetration and fuel price volatility.


2020 ◽  
Author(s):  
Ilaria Chiricò ◽  
Andrea Castelletti ◽  
Matteo Giuliani ◽  
Nadav Peleg ◽  
Paolo Burlando

<p>In Alpine regions, climate change is expected to have a major impact on streamflow patterns through the decrease of the seasonal snow cover duration and of its spatial extent, in the short term, and the increase of glacier retreat, in the mid- and long-term. As part of their options towards a decarbonised energy strategy focusing on a larger fraction of renewable energy sources, several European countries are phasing out nuclear energy and are looking for alternative and renewable energy sources to compensate for the missing electricity production. Switzerland has planned the withdrawal from nuclear energy gradually in the next decades and hydropower is considered a potential candidate for replacing part of the lost production. Several options, mostly in the domain of management, are under evaluation to increase the current level of hydropower production, thereby including improved operation, technological solutions, market premium for existing power plant and investment contributions for new ones. However, structural interventions such as increasing hydropower storage capacity by dam heightening are also being investigated. As glacier retreat will likely result in a temporary increase of streamflow availability, augmented storage capacity by dam heightening should allow to more flexibly manage this additional volume, avoiding spills and thus incrementing production.</p><p>In this study, we develop a framework for the robust design of dam heightening and, correspondingly, optimal reoperation of reservoir release under changing climate. The framework is demonstrated on the Mattmark dam, an Alpine hydropower system located in the Visp Valley, Switzerland. The framework consists of the following four components: (i) the generation of future climate scenarios using a distributed weather generator model (AWE-GEN-2d), parameterized with the new climate scenarios for Switzerland (CH2018); (ii) the use of a distributed, physically based hydrological model to translate projected climate into streamflow; (iii) the design of the dam heightening and hydropower system operation in response to the projected changes via Evolutionary Multi-Objective Direct Policy Search, including as objective functions the modification of the hydraulic system (such as electro-mechanical equipment or adduction system), the hydropower production, the evaluation of the capacity-inflow ratio (CIR), the structural suitability and the heightening relative effort (including adaptation of the existing structures and accessibility of construction sites); and (iv) stress-test of the optimal solutions against a stochastic ensemble of future climate scenarios in order to analyse their robustness and identify options able to ensure a certain performance across multiple plausible futures.</p><p>The developed framework is expected to help identifying optimal solutions, both effective in increasing the hydropower production, and robust with respect to climate change, thus allowing further application to other glacier-snow dominated systems.</p>


2009 ◽  
Vol 62-64 ◽  
pp. 495-505
Author(s):  
C. Mbohwa ◽  
Bukhosi Siso

Zimbabwe has an abundance of the renewable energy sources yet it is facing chronic energy and capacity shortages, leading to the country relying on imported power, having load shedding and having blackouts. This paper discusses the renewable energy power potential, the role renewable energy resources can play to alleviate these problems and the policy options and instruments that can be used to promote renewable energy technologies. The study found out that Renewable Energy Technologies are cost-competitive to conventional energy sources in several applications. The major barriers to the deployment of the technologies are discussed and possible solutions proposed.


IEE Review ◽  
1991 ◽  
Vol 37 (4) ◽  
pp. 152
Author(s):  
Kenneth Spring

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