An approach for wind power integration using demand side resources

Renewable energy resources, especially wind power, are expected to provide a considerable portion of the world energy requirements in the near future. Large-scale wind power penetration impacts the electricity industry in many aspects and raises a number of technical challenges for the electricity network. A day-ahead network-constrained market clearing formulation is proposed which considers demand side resources. The proposed approach can provide flexible load profile and reduce the need for ramp up/down services by the conventional generators. This method can potentially facilitate a large penetration of wind power by shifting the wind power generation from the off-peak periods to the high-peak hours. The validity of the proposed approach has been verified using the IEEE 30 bus and 57 bus test systems.

Electricity load and price forecasting with influential factors in a deregulated power industry

With the emergence of smart power grid and distributed generation technologies in recent years, there is need to introduce new advanced models for forecasting. Electricity load and price forecasts are two primary factors needed in a deregulated power industry. The performances of the demand response programs are likely to be deteriorated in the absence of accurate load and price forecasting. Electricity generation companies, system operators, and consumers are highly reliant on the accuracy of the forecasting models. However, historical prices from the financial market, weekly price/load information, historical loads and day type are some of the explanatory factors that affect the accuracy of the forecasting. In this paper, a neural network (NN) model that considers different influential factors as feedback to the model is presented. This model is implemented with historical data from the ISO New England. It is observed during experiments that price forecasting is more complicated and hence less accurate than the load forecasting.

Fog computing: a cloud to the ground support for smart things and machine-to-machine networks

Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.

Optimal coordination of G2V and V2G to support power grids with high penetration of renewable energy

Electric vehicles (EVs) have recently gained much popularity as a green alternative to fossil-fuel cars and a feasible solution to reduce air pollution in big cities. The use of EVs can also be extended as a demand response tool to support high penetration of renewable energy (RE) sources in future smart grid. Based on the certainty equivalent adaptive control (CECA) principle and a customer participation program, this paper presents a novel control strategy using optimization technique to coordinate not only the charging but also the discharging of EV batteries to deal with the intermittency in RE production. In addition, customer charging requirements and schedules are incorporated into the optimization algorithm to ensure customer satisfaction, and further improve the control performance. The merits of this scheme are its simplicity, efficiency, robustness and readiness for practical applications. The effectiveness of the proposed control algorithm is demonstrated by computer simulations of a power system with high level of wind energy integration.

Variation in maternal provisioning by lactating Antarctic fur seals: response to experimental manipulation in pup demand

An experiment involving the supplementary feeding of pups was conducted on Antarctic fur seals to investigate the factors influencing maternal foraging-attendance cycles and the differential use of nutritional resources for growth, maintenance and storage by pups. For 40% of the lactation period, male pups were given a supplement mimicking the chemical composition of Antarctic fur seal milk at a dose equivalent to 35% of the normal mass-specific milk energy intake for the species. Milk consumption, body composition and growth rates were monitored during and after the supplementary feeding period and maternal foraging-attendance cycles were monitored throughout lactation. During the supplementary feeding period, treatment pups (n=8) grew 32% faster and deposited greater adipose tissue stores than controls (n=8) but consumed the same amount of maternal-delivered milk. When supplementary feeding was stopped (timed to coincide with peak maternal milk yield in this species), treatment pups lost mass whereas control group pups continued to grow. Treatment pups weaned at a younger age (109 days) than control pups (116 days) but at the same mass (13 kg). Maternal attendance durations did not differ between the treatment and control groups throughout lactation. However, mothers of treatment pups had significantly shorter foraging trip durations (3.74 days) than mothers of control pups (4.74 days) during the period of supplementary feeding (there were no significant differences throughout the rest of lactation). These findings are in accordance with predictions of a marginal-value model of fur seal lactation behaviour.

Measuring audience response on-line : an evaluation of the portable audience response facility (pARF)

If it is the case that artists and art explore organization of the brain (Zeki & Lamb, 1994), then the investigation of response to artistic performance holds promise as a window to perceptual and cognitive processes. The portable Audience Response Facility (pARF) is an instrument for recording real‐time audience response (Stevens et al. 2009). Twenty, handheld, Personal Digital Assistants (PDAs) collect responses on customizable skin interfaces. The pARF server transmits the customizable options, synchronizes devices and collects data for export. In this paper we report ratings of the usability of the pARF that were collected after 37 participants had used it to continuously rate engagement along a single dimension while a female dance artist gave two performances of a short solo contemporary dance work. The motion of the dancer was also captured as she performed the piece but only usability rating data are reported here. Ratings indicate that the cognitive load imposed by continuously rating engagement while watching a dance performance was manageable and the pARF was easy to use. An extended familiarization phase may further reduce dual task demand.

Auditor independence : shared meaning between the demand and supply sides of the audit services market?

Purpose – The purpose of the paper is to examine the extent to which there is shared meaning of the concept of auditor independence between the three major groups of parties on the demand and supply sides of the audit services market – auditors, financial report preparers and financial report users.

Design/methodology/approach – The paper utilises the measurement of meaning framework (semantic differential analysis) originally proposed by Osgood et al. in 1957. The framework is used to investigate the extent to which there is shared meaning (agreement in interpretations) of the independence concept, in response to alternative audit engagement case contexts, between key parties to the financial reporting communication process. The study's research data was collected in the period March 2004-May 2005.

Findings – Findings indicate a robust and stable single-factor cognitive structure within which the research participants interpret the connotative meaning of the auditor independence concept. An analysis of the experimental cases finds similarities in connotations (interpretations) of an audit firm's independence for the participant groups for most cases, with the exception of cases involving the joint provision of audit and non-audit (taxation) services.

Research limitations/implications – The usual external validity threat that applies to experimental research generally applies to the study. That is, the results may not be generalisable to settings beyond those examined in the study. An important implication of the study is that it emphasises the continuing problematic nature of the joint provision of audit and non-audit services, even in situations where the non-audit services comprise only traditional taxation services.

Originality/value – The study is the first to examine the concept of auditor independence by means of the Osgood et al. measurement of meaning research framework using, as research participants, the three major groups on the demand and supply sides of the audit services market.