An Assessment of PIER Electric Grid Research 2003-2014 White Paper

This white paper describes the circumstances in California around the turn of the 21st century that led the California Energy Commission (CEC) to direct additional Public Interest Energy Research funds to address critical electric grid issues, especially those arising from integrating high penetrations of variable renewable generation with the electric grid. It contains an assessment of the beneficial science and technology advances of the resultant portfolio of electric grid research projects administered under the direction of the CEC by a competitively selected contractor, the University of California’s California Institute for Energy and the Environment, from 2003-2014

Flexitranstore

This open access book comprises 10 high-level papers on research and innovation within the Flexitranstore Project that were presented at the FLEXITRANSTORE special session organized as part of the 21st International Symposium on High Voltage Engineering. FLEXITRANSTORE (An Integrated Platform for Increased FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources) aims to contribute to the development of a pan-European transmission network with high flexibility and high interconnection levels. This will facilitate the transformation of the current energy production mix by hosting an increasing share of renewable energy sources. Novel smart grid technologies, control and storage methods, and new market approaches will be developed, installed, demonstrated, and tested introducing flexibility to the European power system. FLEXITRANSTORE is developing a next-generation Flexible Energy Grid (FEG) that will be integrated into the European Internal Energy Market (IEM) through the valorization of flexibility services. This FEG addresses the capabilities of a power system to maintain continuous service in the face of rapid and large swings in supply or demand. As such, a wholesale market infrastructure and new business models within this integrated FEG must be upgraded for network players, and offer incentives for new ones to join, while at the same time demonstrating new business perspectives for cross-border resource management and energy trading

Analysis of market incentives on power system planning and operations in liberalised electricity markets

The design of liberalised electricity markets (e.g., the energy, capacity and ancillary service markets) is a topic of much debate, regarding their ability to trigger adequate investment in generation capacities and to incentivize flexible power system operation. Long-term generation investment (LTGI) models have been widely used as a decision-support tool for generation investments and design of energy policy. Of particular interest is quantification of uncertainty in model outputs (e.g., generation projections or system reliability) given a particular market design while accounting for uncertainties in input data as well as the discrepancies between the model and the reality. Unfortunately, the standard Monte Carlo based techniques for uncertainty quantification require a very large number of model runs which may be impractical to achieve for a complex LTGI model. In order to enable efficient and fully systematic analysis, it is therefore necessary to create an emulator of the full model, which may be evaluated quickly for any input and which quantifies uncertainty in the output of the full model at inputs where it has not been run. The case study shows results from the Great Britain power system exemplar which is representative of LTGI models used in real policy processes. In particular, it demonstrates the application of Bayesian emulation to a complex LTGI model that requires a formal calibration, uncertainty analysis, and sensitivity analysis. In power systems with large amounts of variable generation, it is important to provide sufficient incentives for operating reserves as a main source of generation flexibility. In the traditional unit commitment (UC) model, the demand for operating reserves is fixed and inelastic, which does not reflect the marginal value of operating reserves in avoiding the events of load shedding and wind curtailment. Besides, the system-wide reserve constraint assumes that the operating reserve can be delivered to any location freely, which is not true in real-world power system operations. To recognize the value and deliverability of operating reserves, dynamic zonal operating reserve demand curves are introduced to an enhanced deterministic UC model for co-optimizing the day-ahead schedules for energy and operating reserves. In the case study on the RTS-73 test system, comparisons are made between the choices of reserve policies (e.g., single, seasonal or dynamic zones) and of different reserve zonal partitioning methods. Results suggest that the enhanced deterministic UC model produces on average lower operational cost, higher system reliability and higher energy and reserve revenues than the traditional one. Finally, we discuss future directions of methodological research arising from current energy system challenges and the computer models developed for better understanding of the impacts of market incentives on power system planning and operations

Reconsidering Regulatory Uncertainty: Making a Case for Energy Storage

This Article begins the complex dialogue that must take place to address the emerging technologies providing energy storage for our electricity grid. Energy storage has the capacity to be a game-changer for many facets of our grid, providing better integration of renewable energy, enhanced reliability, and reduced use of carbon-intensive fuels. Energy storage faces a number of obstacles, however, including technological, financial, and regulatory uncertainty. This Article focuses on the regulatory uncertainty, and defends the proposition that not all regulatory uncertainty is created equal. It argues for differential treatment of this uncertainty, depending on its context, scope, and source, and applies this framework to the uncertainty surrounding the classification of energy storage. It finds that this uncertainty operates against high baseline levels of uncertainty in the energy industry, is limited in its scope, and is intentionally embraced by the federal regulators in an effort to realize the benefits of regulatory uncertainty. This Article asserts that this form of uncertainty is one that can be managed in a way to avoid stifling the development of this important technology. This Article sets forth strategies for regulators and regulated entities to continue to function, even within this zone of regulatory uncertainty

Reconsidering Regulatory Uncertainty: Making a Case for Energy Storage

This Article begins the complex dialogue that must take place to address the emerging technologies providing energy storage for our electricity grid. Energy storage has the capacity to be a game-changer for many facets of our grid, providing better integration of renewable energy, enhanced reliability, and reduced use of carbon-intensive fuels. Energy storage faces a number of obstacles, however, including technological, financial, and regulatory uncertainty. This Article focuses on the regulatory uncertainty, and defends the proposition that not all regulatory uncertainty is created equal. It argues for differential treatment of this uncertainty, depending on its context, scope, and source, and applies this framework to the uncertainty surrounding the classification of energy storage. It finds that this uncertainty operates against high baseline levels of uncertainty in the energy industry, is limited in its scope, and is intentionally embraced by the federal regulators in an effort to realize the benefits of regulatory uncertainty. This Article asserts that this form of uncertainty is one that can be managed in a way to avoid stifling the development of this important technology. This Article sets forth strategies for regulators and regulated entities to continue to function, even within this zone of regulatory uncertainty

Reconsidering Regulatory Uncertainty: Making a Case for Energy Storage

This Article begins the complex dialogue that must take place to address the emerging technologies providing energy storage for our electricity grid. Energy storage has the capacity to be a game-changer for many facets of our grid, providing better integration of renewable energy, enhanced reliability, and reduced use of carbon-intensive fuels. Energy storage faces a number of obstacles, however, including technological, financial, and regulatory uncertainty. This Article focuses on the regulatory uncertainty, and defends the proposition that not all regulatory uncertainty is created equal. It argues for differential treatment of this uncertainty, depending on its context, scope, and source, and applies this framework to the uncertainty surrounding the classification of energy storage. It finds that this uncertainty operates against high baseline levels of uncertainty in the energy industry, is limited in its scope, and is intentionally embraced by the federal regulators in an effort to realize the benefits of regulatory uncertainty. This Article asserts that this form of uncertainty is one that can be managed in a way to avoid stifling the development of this important technology. This Article sets forth strategies for regulators and regulated entities to continue to function, even within this zone of regulatory uncertainty