Sensor and actuator networks for smart grid

As introduced in the previous chapters, compared to traditional power grid, Smart Grid (SG) enjoys various advantages. To realize these advantages, Sensor and Actuator Networks (SANET) play a key role. In this chapter, we focus on SANET for SG. We study the composition and characteristics of SANET, identify the major applications of SANET in SG, highlight the major design issues and implementation challenges, and propose some innovative mechanisms to address these challenges. The effectiveness of the proposed schemes is verified and demonstrated with a case study of Energy Management System (EMS).published_or_final_versio

Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems

Smart buildings are increasingly using Internet of Things (IoT)-based wireless sensing systems to reduce their energy consumption and environmental impact. As a result of their compact size and ability to sense, measure, and compute all electrical properties, Internet of Things devices have become increasingly important in our society. A major contribution of this study is the development of a comprehensive IoT-based framework for smart city energy management, incorporating multiple components of IoT architecture and framework. An IoT framework for intelligent energy management applications that employ intelligent analysis is an essential system component that collects and stores information. Additionally, it serves as a platform for the development of applications by other companies. Furthermore, we have studied intelligent energy management solutions based on intelligent mechanisms. The depletion of energy resources and the increase in energy demand have led to an increase in energy consumption and building maintenance. The data collected is used to monitor, control, and enhance the efficiency of the system

Practical applications of multi-agent systems in electric power systems

The transformation of energy networks from passive to active systems requires the embedding of intelligence within the network. One suitable approach to integrating distributed intelligent systems is multi-agent systems technology, where components of functionality run as autonomous agents capable of interaction through messaging. This provides loose coupling between components that can benefit the complex systems envisioned for the smart grid. This paper reviews the key milestones of demonstrated agent systems in the power industry and considers which aspects of agent design must still be addressed for widespread application of agent technology to occur

Interactive Demand Shifting in the context of Domestic Micro-Generation

The combination of ubiquitous computing and emerging energy technologies is radically changing the home energy landscape. Domestic micro-generation, dominated by solar photovoltaic, is increasing at a rapid pace. This represents an opportunity for creating and altering energy behaviours. However, these transformations generate new challenges that we call the domestic energy gap: domestic electricity consumption and microgeneration are out of sync. Micro-generation is mainly uncontrollable production relying on weather while domestic energy consumption tends to happen mostly during the evening. This thesis focuses on understanding and supporting new domestic practices in the context of domestic solar electricity generation, looking at ‘Demand-Shifting’. Specifically, we look at how can digital tools leverage Demand-Shifting practices in the context of domestic micro-generation? Relying on a mixed-method approach, we provide a qualitative and quantitative answer with the collaboration of 38 participating households in several field studies including two spanning more than eight months. Through a deep investigation of laundry and electric mobility routines in the context of domestic micro-generation, we emphasised a natural engagement into Demand-Shifting which appeared as a complex and time-consuming task for participants which was not visible when we analysed their quantitative data. We revealed this complexity through Participatory Data Analyses, a method we designed to analyse the data in collaboration with the participating householders. This provided us with a comprehensive view of the relationship between domestic micro-generation and daily routines. Finally, we highlight the need for timely and contextual support through the deployment of interventions in-the-wild. Building on discussions of our findings in perspective of the literature, we propose a conceptual framework to support domestic interactive Demand-Shifting

Integration of DERs on power systems: challenges and opportunities

The integration of large amounts of distributed energy resources (DERs) as photovoltaic solar generation, micro-cogeneration, electric vehicles, distributed storage or demand response pose new challenges and opportunities on the power sector. In this paper, we review the current trends on: i) how consumers adopting DERs can self-provide energy services and provide other services at system level, ii) what can be expected at distribution networks and how retail markets will evolve with more proactive and market engaged consumers, iii) what are the effects and integration of DERs on wholesale markets, and iv) what are the challenges that DERs pose on cybersecurity and the opportunities for improving system resilience. Several recommendations are given for achieving an efficient integration of DERs. For instance, the design of a comprehensive system of prices and charges and the elimination of existing barriers for market participation are crucial reforms to achieve a level playing field between distributed and centralized resources when providing electricity services. This paper summarizes part of the work developed under the MIT Utility of the Future study