A new method is presented to denoise 1-D experimental signals using wavelet transforms. Although the state-of-the-art denoising methods perform better than other methods, they are not very effective for signals. Unlike images and signals, in chemical biophysical applications, example, less tolerant signal distortion under-denoising caused by standard methods. The method: 1) provides a select number of decomposition levels denoise; 2) uses formula calculate noise thresholds that does require...

This work presents a stochastic optimization framework for operations and planning of an electricity network as managed by Independent System Operator. The objective is to maximize the total expected net benefits over horizon, incorporating costs consumption, generation, ancillary services, load-shedding, storage load-shifting. overall could be characterized secure, stochastic, combined unit commitment AC optimal power flow problem, solving state-dependent schedule pre-specified time...

Engineered multiwalled carbon nanotubes (MWCNTs) are the subject of intense research and expected to gain widespread usage in a broad variety commercial products. However, concerns have been raised regarding potential environmental human health risks. The mobility MWCNTs porous media is examined this study using one-dimensional flow-through column experiments under conditions representative subsurface drinking water treatment systems. Results demonstrate that pore velocity strongly...

A great deal of interest has been paid to the market-based pricing electrical power. Electrical power contracts often contain embedded options, valuations which require a stochastic model for electricity prices. Successful models exist modeling price variations in traditional commodities. Electricity is critically different from these commodities as it difficult store and, on short time scales, its highly inelastic. This important implications spot electricity. Several prices already exist....

Uncertainty and variability in the wind resource create obstacles for participation of power forward markets, such as regional day ahead electricity markets. Studies performed various states have developed methods to improve forecasting so reduce inherent uncertainty a schedule generation. This paper addresses issue generation by estimating next ten-minute production level hypothetical farm, then dispatching additional dedicated resources, responsive load or gas turbine, order net ten-...

Integrating wind power into systems contributes to existing variability in system operations. Current methods mitigate this and uncertainty focus on using conventional generator ramping capability. There is also the option of itself that it introduces system. This paper concept a flexible dispatch margin as means for participate mitigating net uncertainty. In providing margin, generators under-schedule hour-ahead energy market order have additional expected flexibility available real-time...

Energy systems integration, or sector coupling, has several drivers that span climate impact mitigation and economics to social regulatory considerations. A key question is what how does it the flexibility of energy system? Here, system includes sectors - electricity, gas, heat, transportation have been independent for decades in most countries except their coupling via combined heat power (CHP) units. In some may provide other sectors, while will require when interlinking. To support these...

With the current trend in deregulation, all electricity markets have been subject to volatile prices, typically peak season. As mature, new financial and operational risk management instruments are becoming available. In order price such instruments, a model for underlying process is required. this paper hybrid described that contains aspects of power system, as well historical time-series spot prices observed market. By including both problem, with economic system-based created. Its modular...

Day-ahead electricity markets do not readily accommodate power from intermittent resources such as wind because of the scheduling difficulties presented by uncertainty and variability in these resources. Numerous entities have developed methods to improve forecasting thereby reduce a day-ahead schedule for generation. This paper introduces decision framework addressing inevitable remaining resulting imperfect forecasts. The uses paired resource, demand response, gas turbine, or storage,...

In this paper, we consider the unit commitment problem of a power system with high penetration renewable energy. The optimal day-ahead scheduling is formulated as risk-averse stochastic optimization model in which load balance satisfied prescribed probability level. order to handle ambiguous joint distribution generation, feasible set approximated by an quantile-based uncertainty set. Results highlight importance large sample size providing reliable solutions SCUC problems. method flexible...

Abstract Rapid increases in global temperature are motivating governments to restructure the energy sector towards emissions-free electricity generation. One of key factors affecting viability power systems is joint variability renewable resources and drivers demand across spatiotemporal scales. This study evaluates impact multi-scale hydroclimatic on reliability a zero-emissions system case New York State (NYS), which recently passed Climate Leadership Community Protection Act (CLCPA)...

We explore the behavior of wind speed over time, using a subset Eastern Wind Dataset published by National Renewable Energy Laboratory. This dataset gives modeled speeds three years at hundreds potential farm sites. analysis is necessary to integration energy into power grid; short-term variability in affects decisions about usage other sources, so that shape time series becomes as important overall level. To assess differences intra-day series, we propose functional distance measure, band...

Renewable energy sources including wind farms and solar sites, have been rapidly integrated within power systems for economic environmental reasons. Unfortunately, many renewable suffer from variability uncertainty, which may jeopardize security stability of the system. To face this challenge, it is necessary to develop new methods manage increasing supply-side uncertainty operational strategies. In modern system operations, optimal flow (OPF) essential all stages horizon; underlying both...

Under the increasing need to decarbonize energy systems, there is coupled acceleration in connection of distributed and intermittent renewable resources power grids. To support this transition, researchers other stakeholders are embarking on detailed studies analyses evolution complex system, which require a validated representation essential characteristics grid that accurate for specific region interest. For example, Climate Leadership Community Protection Act (CLCPA) New York State (NYS)...