People, power and public relations

Public relations is conventionally viewed from a corporate perspective. However, recent events in Victoria have illustrated the fact that grassroots activism holds an increasing share of public relations expertise. In contemporary Victoria civil activism has advanced a long way from traditional adversarial NIMBY (Not In My Back Yard) campaigns and has succeeded in generating both social and cultural change. How does a civil activist approach the complex problem of public relations? How do they convince publics their arguments are in the interest of the whole community? Is it is a question of mimicking corporate techniques or has a new style of public relations evolved specific to their needs? This paper examines a case study in which an outer- suburban grassroots activist group effected significant change in state government and corporate policy. The results challenge the view that public relations is the exclusive tool of large corporations and governments and calls for a redefinition of ‘what is public relations’?

Mathematical power of special-needs pupils : an ICT-based dynamic assessment format to reveal weak pupils' learning potential

This paper reports a study aimed at revealing special-educational-needs pupils' learning potential by means of an ICT-based assessment including a dynamic visual tool that might help pupils when solving mathematics problems. The study focused on subtraction problems up to 100, which require 'borrowing'. These problems, in which the value of the ones-digit of the subtrahend is larger than the ones-digit of the minuend, are known as a serious difficulty for weak pupils in mathematics. Seven of such problems from a standardised test were placed in the ICT environment. Data were collected from two test conditions: the standardised written test format and the ICT version of the test items including the tool that provided pupils with a set of virtual manipulatives. The 37 pupils involved in the study were 8–12 years old and from two special-education schools in the Netherlands. Comparison of the performance scores in the two formats showed that an ICT-based assessment format, including a dynamic visual tool, can reveal weak pupils' learning potential and strategy use. The study also pointed out that 'partial-tool use', ie, not carrying out the complete subtraction operation with the tool, can provide sufficient support to find the correct answer.

Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant

Artificial neural networks have a good potential to be employed for fault diagnosis and condition monitoring problems in complex processes. In this paper, the applicability of the fuzzy ARTMAP (FAM) neural network as an intelligent learning system for fault detection and diagnosis in a power generation plant is described. The process under scrutiny is the circulating water (CW) system, with specific attention to the conditions of heat transfer and tube blockage in the CW system. A series of experiments has been conducted systematically to investigate the effectiveness of FAM in fault detection and diagnosis tasks. In addition, a set of domain rules has been extracted from the trained FAM network so that its predictions can be explained and justified. The outcomes demonstrate the benefits of employing FAM as an intelligent fault detection and diagnosis tool with an explanatory capability for monitoring and diagnosing complex processes in power generation plants.

Combined nonparametric prediction intervals for wind power generation

Prediction intervals (PIs) are a promising tool for quantification of uncertainties associated with point forecasts of wind power. However, construction of PIs using parametric methods is questionable, as forecast errors do not follow a standard distribution. This paper proposes a nonparametric method for construction of reliable PIs for neural network (NN) forecasts. A lower upper bound estimation (LUBE) method is adapted for construction of PIs for wind power generation. A new framework is proposed for synthesizing PIs generated using an ensemble of NN models in the LUBE method. This is done to guard against NN performance instability in generating reliable and informative PIs. A validation set is applied for short listing NNs based on the quality of PIs. Then, PIs constructed using filtered NNs are aggregated to obtain combined PIs. Performance of the proposed method is examined using data sets taken from two wind farms in Australia. Simulation results indicate that the quality of combined PIs is significantly superior to the quality of PIs constructed using NN models ranked and filtered by the validation set.

Teaching critical reflection: a tool for transformative learning in social work?

In an Australian Bachelor of Social Work degree, critical reflection is a process explicitly taught in a fourth year subject to students who have returned from their first field placement experience in agencies delivering social work programmes. The purpose of teaching critical reflection is to enable social work students to become autonomous and critical thinkers who can reflect on society, the role of social work and social work practices. The way critical reflection is taught in this fourth year social work unit relates closely to the aims of transformative learning. Transformative learning aims to assist students to become autonomous thinkers. Specifically, the critical reflection process taught in this subject aims to assist students to recognise their own and other people's frames of reference, to identify the dominant discourses circulating in making sense of their experience, to problematise their taken-for -granted ‘lived experience’, to reconceptualise identity categories, disrupt assumed causal relations and to reflect on how power relations are operating. Critical reflection often draws on many theoretical frameworks to enable the recognition of current modes of thinking and doing. In this paper, we will draw primarily on how post-structural theories, specifically Foucault's theorising, disrupt several taken-for-granted concepts in social work.

External policy influence and higher education reform in Ethiopia : understanding symbolic power of the World Bank

Increasingly national policy processes are intersected with and affected by global policy actors and ideas. In aid-recipient countries such as Ethiopia, donors use financial and non-financial means to influence national policy decisions and directions. This paper is about the non-financial influence of the World Bank (WB) in the Ethiopian higher education policy reform. Using Pierre Bourdieu’s concept of symbolic power as a ‘thinking tool’, the paper aims to shed light on forms of symbolic capital that the Bank uses to generate a ‘misrecognisable’ form of power that regulates the HE policy process in Ethiopia. The findings show that the WB transforms its symbolic capital of recognition and legitimacy to establish a ‘shared misrecognition’ and thereby make its policy prescriptions implicit and hence acceptable to local policy agents. The Bank uses knowledge-based regulatory instruments to induce compliance to its neoliberal policy prescriptions. The paper therefore underscores the value of symbol power as an analytical framework to understand elusive but critical role of donors in policy processes of aid recipient countries.

Characteristics and applications of energy storage system to power network - A review

Maintaining reliability and stability of a power systems in transmission and distribution level becomes a big challenge in present scenario. Grid operators are always responsible to maintain equilibrium between available power generation and demand of end users. Maintaining grid balance is a bigger issue, in case of any unexpected generation shortage or grid disturbance or integration of any renewable energy sources like wind and solar power in the energy mix. In order to compensate such imbalance and to facilitate more renewable energy sources with the grid, energy storage system (ESS) started to be playing an important role with the advancement of the state of the art technology. ESS can also help to get reduction in greenhouse gas (GHG) emission by means of integrating more renewable energy sources to the grid. There are various types of Energy Storage (ES) technologies which are being used in power systems network from large scale (above 50MW) to small scale (up to 100KW). Based on the characteristics, each storage technology has their own merits and demerits. This paper carried out extensive review study and verifies merits and demerits of each storage technology and identifies the suitable technology for the future. This paper also has conducted feasibility study with the aid of E-SelectTM tool for various ES technologies in applications point of view at different grid locations. This review study helps to evaluate feasible ES technology for a particular electrical application and also helps to develop smart hybrid storage system for grid applications in efficient way.

A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast

The forecasting behavior of the high volatile and unpredictable wind power energy has always been a challenging issue in the power engineering area. In this regard, this paper proposes a new multi-objective framework based on fuzzy idea to construct optimal prediction intervals (Pis) to forecast wind power generation more sufficiently. The proposed method makes it possible to satisfy both the PI coverage probability (PICP) and PI normalized average width (PINAW), simultaneously. In order to model the stochastic and nonlinear behavior of the wind power samples, the idea of lower upper bound estimation (LUBE) method is used here. Regarding the optimization tool, an improved version of particle swam optimization (PSO) is proposed. In order to see the feasibility and satisfying performance of the proposed method, the practical data of a wind farm in Australia is used as the case study.

A new fuzzy-based combined prediction interval for wind power forecasting

This paper makes use of the idea of prediction intervals (PIs) to capture the uncertainty associated with wind power generation in power systems. Since the forecasting errors cannot be appropriately modeled using distribution probability functions, here we employ a powerful nonparametric approach called lower upper bound estimation (LUBE) method to construct the PIs. The proposed LUBE method uses a new framework based on a combination of PIs to overcome the performance instability of neural networks (NNs) used in the LUBE method. Also, a new fuzzy-based cost function is proposed with the purpose of having more freedom and flexibility in adjusting NN parameters used for construction of PIs. In comparison with the other cost functions in the literature, this new formulation allows the decision-makers to apply their preferences for satisfying the PI coverage probability and PI normalized average width individually. As the optimization tool, bat algorithm with a new modification is introduced to solve the problem. The feasibility and satisfying performance of the proposed method are examined using datasets taken from different wind farms in Australia.

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.

Role of energy storage in the power system network

Today’s power system network is more complex with enhanced responsibility to maintain reliable, stable and quality supply of power at transmission and distribution level. Maintaining grid balance is a bigger issue, in case of any unexpected generation shortage or grid disturbance or any participation of an intermittent nature of renewable energy sources like wind and solar power in the energy mix. In order to compensate such imbalance and improve reliability, and stability of power system, an energy storage system (ESS) can be considered as a vital solution. Also ESS can be used to mitigate associated issues of renewable energy sources while integration into the power system network. Thus ESS supports to get a reduction in greenhouse gas (GHG) emissions by means of integrating more renewable energy sources to the grid effectively. There are various types of Energy Storage (ES) technologies which are being used in power systems network for large scale (MW) to small scale (KW) level. Based on the type and characteristics, each storage technology is suitable for a particular role of applications. This paper presents an extensive review study on various types of ES technologies in characteristics and applications point of view. It also demonstrates various applications of ESS in detail. Finally, with the aid of ES-selectTM tool software, a feasibility analysis has been carried out to identify a suitable ES technology for appropriate applications at different grid locations and also helps to develop a smart hybrid storage system for grid applications in future.

The power of play: preparing international higher education students for practicum

With an increased number of international students undertaking higher education courses (degrees), Australian universities are challenged to prepare international students with the necessary understandings, knowledge and skills to effectively participate in the workplace. For many students, understanding Early Childhood Education in Australia is a new way of viewing teaching and learning from their own cultural perspective. In order to facilitate successful engagement during pre-service teacher practicums (placements) and in response to concerns raised by mentorteachers in the workplace, a pilot program was run at Deakin University in 2015 for students to undertake before placement. The program focused on ‘play’ as an innovative model of teaching. This paper situates itself as part of a wider study Improving work placement for international students, their mentors and other stakeholders. It draws on narrative reflection, classroom observation, questionnaire and interview data from the early childhood strand within the Master of Teaching course at Deakin University. Using Interpretative Phenomenological Analysis the data was analysed and coded into two emerging themes: building confidence and competency skills and connecting to the early childhood context. Generalisationscannot be made to other educational institutions or context however; the findings reveal that ‘play’ can be used as a powerful tool to empower students to make connection with early childhood settings. It is hoped that the findings may provide a platform for further dialogue with other universities regarding how best we can prepare international education students at Australian universities for their practicum experience.