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On its way to develop a smart grid in Indonesia, one key enabler in the early stage of implementation is advanced metering infrastructure (AMI). Thus, Perusahaan Listrik Negara (PLN), an electrical energy utility company owned by the government of the Republic of Indonesia as the only electricity utility company servicing customers from upstream to downstream in Indonesia, has started AMI program at some main cities. With AMI, real-time energy consumption profile, energy meter status and condition, and customer power quality can be acquired. Subsequently, these data collected by AMI can be used for further smart grid implementation by such IT systems and big data analysis. Instead of its function for smart grid backbone, AMI also significantly support smart energy on the city as a part of smart city initiatives. Nevertheless, its implementation requires more investment than the conventional metering system. This investment needs to be evaluated to define whether AMI is feasible and viable or not. This chapter is intended to observe the feasibility of AMI implementation in Indonesia using cost-benefit analysis (CBA). Two schemes were used as study objects, one scheme in which the communication infrastructure was managed by PLN itself, and the other one in which the communication infrastructure was managed by a third party. From the analysis, it appears that both schemes are proven to be feasible.

The current and modern electrical distribution networks, named smart grids (SGs), use advanced technologies to accomplish all the technical and nontechnical challenges naturally demanded by energy applications. Energy metering collecting is one of these challenges ranging from the most basic (i.e., visual assessment) to the expensive advanced metering infrastructure (AMI) using intelligent meters networks. The AMIs’ data acquisition and system monitoring environment require enhancing some routine tasks. This paper aims to propose a methodology that uses a distributed and sustainable approach to manage wide-range metering networks, focused on using current public or private telecommunication infrastructure, optimizing the implementation and operation, increasing reliability and decreasing costs.

Inspired by blockchain technology, a collaborative metering system architecture is conceived, managing massive data sets collected from the grid. The use of cryptography handles data integrity and security issues.

A robust proof-of-concept simulation results are presented concerning the resilience and performance of the proposed distributed remote metering system.

The methodology proposed in this work is an innovative AMI solution related to SGs. Regardless of the implementation, operation and maintenance of AMIs, the proposed solution is unique, using legacy and new technologies together in a reliable way.

The purpose of this paper is to analyze a set of smart meters implementation projects and provide insights and recommendations to facilitate smart metering deployment strategies.

Several significant projects are analyzed on different fronts: scale, technology, economics and regulation, using a common methodology to unfold patterns that constitute key components of successful smart meters diffusion.

Key elements and controllable enabling patterns from Europe-wide SM implementation projects are identified together with drivers and barriers for patterns replication.

The authors provide a framework considering different stakeholders that will help distribution system operators to accelerate and extend smart meters’ penetration.

Based on the Meter-ON project (supported by the 7th Framework Program of the European Commission), we provide valuable information aimed at facilitating the large-scale deployment of smart meters.

Digitizing of the electrical power grid promotes the advantages of efficient energy management alongside the possibilities of major vulnerabilities. A typical inadequacy that needs critical attention to ensure the seamless operation of the smart grid system remains in the data transmission between consumer premises smart devices and the utility centres. Many researches aim at establishing security protocols to ensure secure and efficient energy management resulting in perfect demand–supply balance.

In this paper, the authentication of the smart meter data has been proposed with enhanced Rivest–Shamir–Adleman (RSA) key encryption using an efficient way of generating large prime numbers. The trapdoor one-way function applied in the RSA algorithm makes it almost impossible for the reverse engineering attempts of cracking the key pair.

The algorithm for generating prime numbers has been tested both with the convention method and with the enhanced method of including a low-level primality test with a first few hundred primes. The combination of low-level and high-level primality tests shows an improvement in execution time of the algorithm.

There is a considerable improvement in the time complexities when using the combination method. This efficient generation of prime numbers can be successfully applied to the smart meter systems, thereby increasing the strength and speed of the key encryption.

This paper aims to determine the network efficient topology for low power and lossy networks (LLNs) using routing protocol for LLN (RPL) with respect to the increase in network size and propose a novel approach to overcome the shortcomings of the existing models.

The authors have used Contiki OS/Cooja simulator to conduct experiments on primarily four topologies (star, bus/linear, ring/eclipse and random). They have implemented RPL protocol using Sky motes for each topology from 10, 20, 30 and up to 70 nodes. Consequently, after 24 h of experimentation, the readings have been noted and, alongside, a comprehensive comparative analysis has been performed based on the network density and metric parameters: packet delivery ratio (PDR), expected transmission (ETX) and power consumption. Further, a hybrid model is proposed where the additional factors of mobility, multiple sink and a combination of static and mobile nodes are introduced. The proposed model is then compared with the star model (all static nodes and star topology) and the dynamic model (all mobile nodes) to analyze the efficiency and network performance for different network sizes (28, 36, 38 and 44 nodes). The mobility is introduced using BonnMotion tool in Contiki OS.

Simulation results have shown that the star topology is most network efficient when compared with bus/linear, ring/eclipse and random topologies for low density and high scalable network. But when the same setup is compared with the proposed hybrid model, the proposed model shows a significant improvement and gives the best and efficient network performance with highest PDR (average improvement approximately 44.5%) and lowest ETX (average improvement approximately 49.5%) comparatively.

Also, these findings will benefit the deployment of smart devices used in advanced metering infrastructure, road side units and in various industrial applications such as traffic monitoring system, electronic toll collection and traffic analysis in the smart grid infrastructure.

The impact of topology is significant and detailed analysis is required to understand the impact of different topologies of the nodes in the network for the present and the future scenarios. As very few research studies have discussed this gap, this research paper is quintessential and shall open novel future potential direction. Also, the proposed approach of hybrid model with mobility has not been considered in the literature yet.

This paper aims to focus on data analytic tools and integrated data analyzing approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency.

A few research strategies have been accounted for analyzing the raw data, yet at the same time, a considerable measure of work should be done in making these commercially reasonable. Data analytic tools and integrated data analyzing approaches are used on SEMs. Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Advantages of SEM’s are additionally discussed for inspiring consumers, utilities and their respective partners.

Consumers, utilities and researchers can also take benefit of the recommended framework by planning their routine activities and enjoying rewards offered by gamification approach. Through gamification, consumers’ commitment enhances, and it changes their less manageable conduct on an intentional premise. The practical implementation of such approaches showed the improved energy efficiency as a consequence.

The purpose of this paper is to replace electronic meters with smart meters. Smart meters will provide high resolution real-time end-user power consumption data for utilities to better monitor and control the system, which is used for end users to better manage their energy usage and bills. By using smart meters, we can reduce the errors and also minimize human intervention in processing information in an efficient way. So that time will be reduced for organization functionalities and accuracy will be increase.

The authors propose a new cryptosystem based on factor problem over non commutative groups. They tried to use this cryptosystem in the field of electricity. They extend and transform this projected cryptosystem to design expert smart meters based on homomorphic encryption with factor problem.

In these smart meters, a monitoring system is integrated that preserves customer’s privacy by homomorphically accumulating the consumption of all n members of a specific domain.

This expert smart meter system has a proficient linear O(n) communication cost and is proven to protect customer's privacy even in the presence of a corrupted substation and some malicious smart meters.

Research described in this paper focuses on a need to consult inhabitants about a new technical solution introduced in a country-wide scale like it is in the case of a smart metering system – finally, all energy consumers will become its users. Its social acceptance is required. So it is a good example of an ethical approach to introduce an innovative solution in the society. The conducted research was intended to help developing strategy to build appropriate relationships with energy consumers during the planned exchange of energy meters and to prepare energy consumers to make use of all functionality of the installed meters. The course of the conducted research and its results are presented. The paper aims to discuss these issues.

The described forms of cooperation with people are direct interviews in focus groups and a questionnaire survey involving representative social sample (surveys have been conducted during direct meetings and via internet). They are described as a case study. An agenda of each interview and also a content of a questionnaire cover topics within the area of natural environment protection, a need to save energy, individual activities leading to energy saving, smart metering, its benefits and potential threats including risk of intrusion privacy. Selected results are included.

Consultations (with energy consumers) based on focus groups and questionnaire surveys have been well accepted by the participants. Respondents feel a need to express their opinions on a given subject. Citizens' attention concerns mostly the economic aspects of a new system. Energy consumers are able to formulate and declare strong and weak points of smart meters. Some threats concerning intrusion of privacy have been expressed by respondents and included in the paper.

General conclusion is the following – each large system is not only a set of technical devices and software routines but it is also a system built by humans and for humans. Wide consultations on a smart metering bring benefits and help ensuring social acceptance. The raising social awareness of the need to save energy is one more benefit from the undertaken activities. An importance of consulting people about new solution involving all inhabitants is emphasized. Direct and structured interviews are the preferred form of social consultations. it is highlighted by some of the pollsters involved in the survey that respondents tell the truth rather in a direct conversation than in a remote mode via internet (involved pollsters have had an opportunity to check if respondents' statements are true).

The described research took place in November 2012. Earlier only technical experts and academia were involved in discussions concerning smart metering. Selected data are included to show results of the research. The presented approach may help interested parties to introduce new solution and to avoid social opposition, rejection of the idea and misunderstandings.

Distribution and retail supply of electricity is the most important cog in the power sector value chain. Despite several reforms, most of the Discoms are facing huge financial losses and resorting to a tariff hike which may not be a viable solution. The purpose of this paper is to analyze a case study of Tata Power Delhi Distribution Ltd (Tata Power-DDL) which inoculated itself against the financial ills, and demonstrates how a utility can nurture itself and manage the key stakeholder expectation with innovation, ethics, safety, transparency and agility being its cornerstone.

The study analyses the situation for Tata Power-DDL which needs to realign its strategy to meet emerging sustainability challenges. The case covers the aspect of strategic management, strategy formulation and change management system deployment using tools such as strength, weakness, opportunities, threat (SWOT), political economical social technological legal environment (PESTLE), critical success factor and key performance indicator cascade. It touches upon the emerging need for distribution utilities to look beyond economic signals and take social and environmental impacts into the strategy planning process.

It viewed the distribution business beyond its conventional responsibility of making power available to consumers and to provide quality service. A well thought out adaption and adoption of upgraded technology can be a game changer even for a market which is highly regulated and dominated by players in their respective defined territories.

Since the sector is regulated and each utility has a pre-defined set of area of operation with no competition within its licensed area, hence, there is a limited application of applied strategy tools such as SWOT and PESTLE.

Since the sector is regulated and each utility has a pre-defined set of area of operation with no competition within its licensed area, hence, there is a limited application of applied strategy tools such as SWOT and PESTLE.

India as a market is evolving in energy space and utilities are still struggling to have a fundamental structure to meet the agenda of “power to all.” The paper provides the valuable insights into the process of environmental scanning and formulation of organizational strategy to meet the needs of existing and future energy markets.