Operational Security in 100% Inverter-Based Power Systems: Experiences from Hawai‘i
The integration of renewable generation in electrical power systems is exponentially increasing for multiple reasons. First, a fast decarbonization of the electrical energy system is a critical milestone to slow climate change and facilitate the decarbonization of other energy sectors, such as transportation and heat. Second, renewable generation from wind and solar have become much cheaper compared to conventional sources like gas, coal, and nuclear. Third, renewable generation is in many cases decentralized, which increases the resilience of the energy system, for example, in the face of natural disasters.
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Lighting a Reliable Path to 100% Clean Electricity: Evolving Resource Adequacy Practices for a Decarbonizing Grid
It is the year 2045 in the carbon-neutral southwestern United States. While summer heatwaves have increased in frequency and intensity because of climate change, the region’s abundant solar generation produces tremendous amounts of low-cost energy on hot summer days. This energy not only serves daytime loads but it also charges an enormous fleet of batteries that, aided by wind and geothermal power, discharge overnight to effectively eliminate summertime electric reliability concerns.
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Multi-Energy Microgrids: Designing, Operation Under New Business Models, and Engineering Practices in China
With the global awareness of climate change and environmental problems, major powers over the world have set their goals to contribute to a low-carbon society. China announced the target of “carbon peak and carbon neutrality,” requiring a cleaner, carbonfree, economic, and sustainable energy system. To this end, there are two promising approaches. The first is to increase the penetration of clean energies, such as wind power and photovoltaics (PVs). This can reduce carbon emissions effectively.
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A Probabilistic Transmission Planning Framework for Reducing Network Vulnerability to Extreme Events
The restructuring of electric power industry has brought in plenty of challenges for transmission expansion planning (TEP), mainly due to uncertainties. The commonly used probabilistic TEP approach requires the network to meet an acceptable risk criterion. However, a series of blackouts in recent years caused by extreme weather-related events have raised the concerns about network vulnerability through calculating the expected risk value. In this paper, we have proposed the concept that TEP should be economically adjusted in order to make network less vulnerable to extreme events (EEs) caused by climate change, e.g., floods or ice storms.
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Stochastic Unit Commitment in Isolated Systems With Renewable Penetration Under CVaR Assessment
Isolated regions and islands are facing imported fossil-fuel dependency, higher electricity prices, and vulnerability to climate change. At the same time, they are increasing their renewable penetration and, therefore, risk for electric utilities. Integrating stochastic energy resources in noninterconnected systems may take advantage of an intelligent and optimized risk-averse unit commitment (UC) model. This paper presents a two-stage stochastic UC model with high renewable penetration including reserve requirements for the efficient management of uncertainty.
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Conditional Kernel Density Estimation Considering Autocorrelation for Renewable Energy Probabilistic Modeling
Renewable energy is essential for energy security and global warming mitigation. However, renewable power generation is uncertain due to volatile weather conditions and complex equipment operations. It is therefore important to understand and characterize the uncertainty in renewable power generation to improve operational efficiency. In this paper, we proposed a novel conditional density estimation method to model the distribution of power generation under various weather conditions. Compared with existing literature, our approach is especially useful for the purpose of short-term modeling, where the temporal dependence plays a more significant role.
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Integrating Variable Renewables in Europe: Current Status and Recent Extreme Events
In recent months, energy policy in the European Union (EU) has started to focus on the concrete actions required to ensure the realization of a functioning internal energy market in the context of high levels of renewable energy in the post-2020 period. The most important developments include the agreement by the European Council on energy and climate targets for 2030 and the launch of the Energy Union by the European Commission in February 2015. European energy strategy will be strongly based on the development of variable renewables such as wind and PVs.
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Stochastic Generation Capacity Expansion Planning Reducing Greenhouse Gas Emissions
With increasing concerns about greenhouse gas emissions, a least-cost generation capacity expansion model to control carbon dioxide (CO 2) emissions is proposed in this paper. The mathematical model employs a decomposed two-stage stochastic integer program. Realizations of uncertain load and wind are represented by independent and identically distributed (i.i.d.) random samples generated via the Gaussian copula method. Two policies that affect CO 2 emissions directly and indirectly, carbon tax and renewable portfolio standard (RPS), are investigated to assess how much CO 2 emissions are expected to be reduced through those policies.
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Electrification in the United Kingdom: A Case Study Based on Future Energy Scenarios
For the United Kingdom, one of the main drivers for a green ambition is the Climate Change Act of 2008. This forms the basis for the country’s approach to responding to climate change and legally commits the U.K. government to reducing greenhouse gas emissions by at least 80% below 1990 levels by 2050. This level of commitment to reducing emissions was further confirmed in the Paris Agreement, the aim of which is to hold the increase in global average temperature to well below 2 °C above preindustrial levels and to pursue efforts to limit warming to 1.5 °C.
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DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting
At the recent 26th United Nations Climate Change Conference last year, more than 140 countries pledged to achieve net-zero emissions to combat climate change. And in a dramatic appeal to attain sustainability in the skies, Europe’s Flightpath 2050 initiated a bold effort to reduce CO2 emissions worldwide by 75%, NOx emissions by 90%, and the noise footprint by 60% by the midcentury mark.
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