Catherine Lindsay Anderson

Cornell University | CU · Department of Biological and Environmental Engineering

With increasing proportion of wind power, an important concern is that of maintaining the reliability of the electric grid in the face of higher supply-side volatility. In this paper, we examine the role of risk-based penalties in developing alternate designs in which firms combine energy bids associated with uncertain real-time availability with s...

Uncertainty in forecasts of wind power generation raises concerns of integrating wind power into power system operations and electricity markets at acceptable costs. The analysis presented in this paper uses an optimal power flow (OPF) model in a Monte Carlo Simulation (MCS) framework to estimate the additional cost of power system operation with u...

A great deal of interest has been paid to the market-based pricing of electrical power. Electrical power contracts often contain embedded options, the valuations of which require a stochastic model for electricity prices. Successful stochastic models exist for modeling price variations in traditional commodities. Electricity is critically different...

We are interested in the potential risk of short-term load imbalance in hydro-thermal power systems under high integration of renewable energy sources, including wind, solar, and biomass. Toward this end, the short- term load balance across the system is formulated as a joint chance constraint. Due to non-convexity issues and the lack of informatio...

We propose a mathematical framework for designing robust networks of coupled phase-oscillators by leveraging a vulnerability measure proposed by Tyloo et. al that quantifies how much a small perturbation to a phase-oscillator's natural frequency impacts the system's global synchronized frequencies. Given a fixed complex network topology with specif...

Under the increasing need to decarbonize energy systems, there is coupled acceleration in connection of distributed and intermittent renewable resources in power grids. To support this transition, researchers and other stakeholders are embarking on detailed studies and analyses of the evolution of this complex system, which require a validated repr...

We propose a mathematical framework for designing robust networks of coupled phase-oscillators by leveraging a vulnerability measure proposed by Tyloo et al. that quantifies the impact of a small perturbation at an individual phase-oscillator's natural frequency to the system's global synchronized frequencies. Given a complex network topology with...

Under the increasing need to decarbonize energy systems, there is coupled acceleration in connection of distributed and intermittent renewable resources in power grids. To support this transition, researchers and other stakeholders are embarking on detailed studies and analyses of the evolution of this complex system, which require a validated repr...

With the increasing integration of renewable energy into power networks, the scheduling and operation of power systems become more challenging, in particular because of the intermittency of wind speed. Thus, appropriate optimization tools are needed to efficiently manage the operation of modern power systems. This paper considers the unit commitmen...

With over 200 wind farm projects underway in 33 states in America, now more than ever, innovation and precision are necessary in wind farm design. The Wind Farm Layout Optimization Problem (WFLOP) calls for optimally positioning turbines within a wind farm so that a particular objective function is optimized in the presence of wake effect. To make...

As the level of renewable and distributed energy resources (DER) increases in power systems, there is a coincident effort to ensure ongoing reliability. Microgrids are likely to play a central role in this development globally. However, a counterpoint is the high cost of microgrid operations, and there exists a need to develop efficient tools to op...

https://authors.elsevier.com/c/1ZaCsWJH6PHTi

Operation planning models for hydro-dominated power systems usually use low temporal resolutions due to the excessive computational burden, thus ignoring short-term characteristics of such systems. As a result, in systems coupled with wind energy, such models may fail to accurately capture wind variability, and may not appropriately take into accou...

Demand response is a key aspect of managing uncertainty and reducing peak loads in electric grids. This paper considers the capability of a data center to provide responsiveness to grid signals through cooling system control. The strategy is based on pre-cooling the center for provision of load reduction during demand response events, and is evalua...

As the level of uncertain renewable capacity increases on power systems worldwide, industrial and academic researchers alike are seeking a scalable, transparent, effective approach to unit commitment under uncertainty. This paper presents a statistical ranking methodology that allows adaptive robust stochastic unit commitment using a modular struct...

The technical and economic performance of geothermal heat pump (GHP) systems supplying year-round cooling to representative small data centers with cooling loads less than 500 kWth were analyzed and compared to air-source heat pumps (ASHPs). A numerical model was developed in TRNSYS software to simulate the operation of air-source and geothermal he...

Wind integration in power grids is challenging because of the uncertain nature of wind speed. Forecasting errors may have costly consequences. Indeed, power might be purchased at highest prices to meet the load, and in case of surplus, power may be wasted. Energy storage may provide some recourse against the uncertainty of wind generation. Because...

While the process of producing ethanol from corn has been well established for over a decade, the process profitability still eludes the industry investors. In particular, uncertainties exist in both the feedstock and the product spot prices. To manage the sophisticated price uncertainty, current practice in industry is to negotiate long-term fixed...

We explore the behavior of wind speed over time, using a subset of the Eastern Wind Dataset published by the National Renewable Energy Laboratory. This dataset gives modeled wind speeds over three years at hundreds of potential wind farm sites. Wind speed analysis is necessary to the integration of wind energy into the power grid; short-term variab...

While bioethanol has become a promising candidate for replacing fossil based transportation fuels, its economic feasibility still eludes industry investors. In particular, uncertainties exist in both production processes and associated markets. Hence, it is critical to develop process technology and strategize the operation and hedging decisions th...

The development of an environmentally sustainable and financially viable replacement for fossil fuels continues to elude industry investors even though the benefits of replacing them is undisputed. Biofuels are among the promising replacements for fossil fuels. However, the development and production process for bio-based fuels creates uncertainty...

Wind integration in power grids is very difficult, essentially because of the uncertain nature of wind speed. Forecasting errors on output from wind turbines may have costly consequences. For instance, power might be bought at highest price to meet the load. On the other hand, in case of surplus, power may be wasted. Energy storage facility may pro...

The effective integration of significant levels of intermittent renewable resources in power system operations will be enabled by increased participation of demand-side resources. In this work, the use of these demand-side resources for balancing reserves is examined in the context of solutions with varying degrees of robustness. The objective is a...

A new method is presented to denoise 1-D experimental signals using wavelet transforms. Although the state-of-the-art wavelet denoising methods perform better than other denoising methods, they are not very effective for experimental signals. Unlike images and other signals, experimental signals in chemical and biophysical applications, for example...

The steady rise of electricity demand and renewable energy sources is increasing the need for flexibility to enable power systems to adapt to changes in supply and demand. To this end, demand response programs have the potential to increase the flexibility of the system. In this work, a direct-load-control demand response program is used in the sch...

We explore the behavior of wind speed over time, using the Eastern Wind Dataset published by the National Renewable Energy Laboratory. This dataset gives wind speeds over three years at hundreds of potential wind farm sites. Wind speed analysis is necessary to the integration of wind energy into the power grid; short-term variability in wind speed...

Electricity generation accounts for 40% of CO2 emissions from fossil fuel combustion in the United States. Section 111 of the Clean Air Act (CAA) allows for greenhouse gas emission regulation by the US Environmental Protection Agency (EPA). In June 2014, EPA issued the Clean Power Plan that proposes regulation of existing power plants via a “best s...

In this paper, we consider the unit commitment problem of a power system with high penetration of renewable energy. The optimal day-ahead scheduling of the system is formulated as a risk-averse stochastic optimization model in which the load balance of the system is satisfied with a high prescribed probability level. In order to handle the ambiguou...

It is well known that the generation resource uncertainty induced by significant wind capacity raises concerns about grid security, price stability, and revenue adequacy. One of the most promising solutions is the use of utility-scale energy storage, although the question of general implementation of this strategy remains unanswered. This paper use...

Day-ahead electricity markets do not readily accommodate power from intermittent resources such as wind because of the scheduling difficulties presented by the uncertainty and variability in these resources. Numerous entities have developed methods to improve wind forecasting and thereby reduce the uncertainty in a day-ahead schedule for wind power...

In this work, a risk-averse optimization model is applied to the security constrained unit commitment problem. The optimal day-ahead scheduling of the system generators is formulated as a chance-constrained optimization model in which the load balance constraint is satisfied with a user-defined probability level. The assumption of a specific underl...

Integrating wind power into power systems contributes to existing variability in system operations. Current methods to mitigate this variability and uncertainty focus on using conventional generator ramping capability. There is also the option of using wind power itself to mitigate the variability and uncertainty that it introduces into the system....

The Lake Turkana Wind Power Project (LTWP) in Northern Kenya is currently under development, scheduled to bring 300MW of wind generation online by the end of 2016. The economic issues raised by the structure of the Kenyan electricity market include a fixed feed-in tariff for the wind generators on the system, and a strict Power Purchase Agreement (...

This work presents a stochastic optimization framework for operations and planning of an electricity network as managed by an Independent System Operator. The objective is to maximize the total expected net benefits over the planning horizon, incorporating the costs and benefits of electricity consumption, generation, ancillary services, load-shedd...

Development efforts for the reduction of land use needs and the improvement of farmer livelihoods in northern Thailand have resulted in the introduction of new pesticide-intensive crop species. Cholinesterase-inhibiting pesticides pose a health risk to farmers and consumers, though pesticide exposure pathways are not well understood. Farmers believ...

The integration of demand response resources into wholesale electricity markets facilitates the growth in wind power integration. Available demand resources have different capabilities in terms of response time, as demonstrated by the variety of programs ranging from day-ahead markets to dynamic pricing. This paper analyzes the importance of select...

The penetration of wind power into global electric power systems is steadily increasing, with the possibility of 30% to 80% of electrical energy coming from wind within the coming decades. At penetrations below 10% of electricity from wind, the impact of this variable resource on power system operations is manageable with historical operating strat...

The objective of this paper is to contrast the effect of demand side versus supply side policies aimed at operating a secured system, while maintaining the sustainability of the system by analyzing: 1) the role that load following costs can have in counteracting the impact of unpredictable Renewable Energy Sources (RES) on system operation and 2) T...

This paper considers the impact of wind energy and forecast uncertainty on two important factors associated with power systems and sustainability, generator dispatch patterns and CO2 emissions. The impact of wind forecasting error on both of these factors is investigated via an AC OPF model and Monte Carol simulations using the 39-bus IEEE test sys...

Engineered multi-walled carbon nanotubes (MWCNTs) are the subject of intense research and are expected to gain widespread usage in a broad variety of commercial products. However concerns have been raised regarding their potential environmental and health risks. The mobility of MWCNTs in porous media is examined in this study through one dimensiona...

Wind power forecast uncertainty raises concerns of the impact of wind power on power system and electricity market operations. The analysis presented in this paper uses an optimal power flow (OPF) model in a Monte Carlo Simulation (MCS) framework to estimate the cost impacts from the uncertainty in windfarm output. Using various regional load level...

The uncertainty in wind power forecasts often results in forecast errors that require system operators to redispatch a power system in real time, once the actual wind generation is known. This paper analyzes the financial impact of this uncertainty in terms of the costs of redispatch. The analysis uses an optimal power flow (OPF) model in a Monte C...

Generating electricity from wind resources has many environmental and economic advantages over traditional fossil-fueled generation. As a result, there is little doubt that energy from wind will be a significant contribution to the electricity portfolio of the future. Due to the sensitivity of the network and the volatility of the wind resource, an...

The current level of deregulation in electricity markets is continuing to expand. Although each of these markets has individual operational and financial structures, one common characteristic is volatility. This volatility is significant and time-varying, and the persistence of this volatility makes the management of financial risk a priority among...

With the current trend in deregulation, all electricity markets have been subject to volatile electricity prices, typically in peak season. As markets mature, new financial and operational risk management instruments are becoming available. In order to price such instruments, a model for the underlying price process is required. In this paper a hyb...

Uncertainty and variability in the wind resource create obstacles for the participation of wind power in forward markets, such as regional day ahead electricity markets. Studies performed in various states have developed methods to improve wind forecasting and so reduce the inherent uncertainty in a day ahead schedule for wind power generation. Thi...

Deregulation of electricity markets is occurring all over the world. This trend introduces new risks and uncertainties into the electricity industry, the most significant being price risk. The spot price of electricity is highly volatile, and the ability to price risk management contracts on this commodity is contingent on a robust and realistic mo...

Pricing options on electrical power is important because of the worldwide trend toward deregulated electricity markets. It is fasci-nating because of the exotic nature of most power derivatives and because of the many unique features of electricity markets. One of these unique features is that electrical power cannot, in appreciable quantities, be...

In recent years a great deal of interest has been paid to the market-based pricing of electrical power. Electrical power contracts often contain embedded options, the valuations of which require a stochastic model for electricity prices. Successful stochastic models exist for modeling price variations in traditional commodities. Electricity is crit...

The first part of the paper summarizes how "co-optimization" can be used to determine the correct nodal prices for an optimum AC dispatch that meets industry standards of operating reliability. The co-optimization criterion minimizes the expected cost of meeting load over an explicit set of credible contingencies. The corresponding nodal prices ref...

Prior to the deregulation trend, electricity prices were highly regulated and were usually fairly predictable -generators and wholesalers knew their production costs and revenues, and consumers knew their electricity costs. However, deregulation has caused electricity to become the most volatile of the commodities. Not only is the demand for electr...

Thesis (Ph.D.)--University of Western Ontario, 2004. Includes bibliographical references.