A Multidisciplinary Approach for the Development of Smart Distribution Networks

In recent years, residential users have begun to be equipped with micro-CHP (combined heat and power) generation technologies with the aim of decreasing primary energy consumption and reducing environmental impact. In these systems, the prime mover supplies both thermal and electrical energy, and an auxiliary boiler and the national electrical grid are employed as supplementary systems. In this paper, a simulation model, which accounts for component efficiency and energy balance, was developed to replicate the interaction between the users and the energy systems in order to minimize primary energy consumption. The simulation model identified the optimal operation strategy of two residential users by investigating different energy system configurations by means of a dynamic programming algorithm. The reference scenario was compared to three different scenarios by considering independent energy systems, shared thermal and electrical energy storage and also the shared prime mover. Such a comparison allowed the identification of the most suitable energy system configuration and optimized operation strategy. The results demonstrate that the optimized operation strategy smoothes the influence of the size of thermal and electrical energy storage. Moreover, the saving of primary energy consumption can be as high as 5.1%. The analysis of the economic feasibility reveals that the investment cost of the prime mover can be as high as 4000 €/kW.

Section: Literature Reviewmentioning

confidence: 99%

Optimal Management of the Energy Flows of Interconnected Residential Users

Manservigi¹,

Cattozzo²,

Spina³

et al. 2020

“…[34] The authors discuss the theoretical approaches used for the energy management in the literature and also unify the terminologies, concepts, and existing models that use energy management. [35] The authors in this paper highlight the challenges associated with the design of a distribution network in the smart grid. [36] Energy conservation using prosumer excess energy, associated challenges, and technological advancements in prosumers communication infrastructure are discussed in this paper.…”

Section: Existing Survey On the Smart Gridmentioning

confidence: 99%

“…Besides this, electricity generation using fossil fuels is becoming more expensive day by day due to the increased cost of fossil fuel. Therefore, the organization of environmental protection as well as the high production cost of electricity has forced various government agencies to rethink their energy production resources [35,146]. The centralized generation of power is not only costly and inefficient, but it is also sometimes not enough to meet the consumers' demands during peak hours [147].…”

Section: Integration Of Ders Into the Main Grid And How It Helps To Amentioning

confidence: 99%

A Compendium of Performance Metrics, Pricing Schemes, Optimization Objectives, and Solution Methodologies of Demand Side Management for the Smart Grid

Ahmad

Naeem

et al. 2018

The curtailing of consumers’ peak hours demands and filling the gap caused by the mismatch between generation and utilization in power systems is a challenging task and also a very hot topic in the current research era. Researchers of the conventional power grid in the traditional power setup are confronting difficulties to figure out the above problem. Smart grid technology can handle these issues efficiently. In the smart grid, consumer demand can be efficiently managed and handled by employing demand-side management (DSM) algorithms. In general, DSM is an important element of smart grid technology. It can shape the consumers’ electricity demand curve according to the given load curve provided by the utilities/supplier. In this survey, we focused on DSM and potential applications of DSM in the smart grid. The review in this paper focuses on the research done over the last decade, to discuss the key concepts of DSM schemes employed for consumers’ demand management. We review DSM schemes under various categories, i.e., direct load reduction, load scheduling, DSM based on various pricing schemes, DSM based on optimization types, DSM based on various solution approaches, and home energy management based DSM. A comprehensive review of DSM performance metrics, optimization objectives, and solution methodologies is’ also provided in this survey. The role of distributed renewable energy resources (DERs) in achieving the optimization objectives and performance metrics is also revealed. The unpredictable nature of DERs and their impact on DSM are also exposed. The motivation of this paper is to contribute by providing a better understanding of DSM and the usage of DERs that can satisfy consumers’ electricity demand with efficient scheduling to achieve the performance metrics and optimization objectives.

“…In particular, the power distribution sector is foreseen to be the more involved in the evolution of the power system towards future smart grid scenarios, in which active networks will be more intelligently capable of integrating renewable energy sources (RES), demand side response (DSR), and energy storage systems (ESS). The transition towards smart distribution networks (SDN) will require the implementation of new concepts with a novel electrical system structure as well as the addition of novel types of control systems and equipment able to manage bidirectional power flows, according to the new policy and regulatory frameworks [1].…”

Section: Introductionmentioning

confidence: 99%

Planning of a Smart Local Energy Community: The Case of Berchidda Municipality (Italy)

Ghiani

Giordano

Nieddu³

et al. 2019

Self Cite

Recent strategic policies and regulations dealing with market liberalization and decarbonization plans, such as the European directives contained in the recent EU Clean Energy for All Europeans Package, are seeking to promote new roles for citizens in the management of the self-produced renewable energy and the development of local energy markets. In this context, this paper aims at presenting the planning actions for the transition of the current passive distribution system of the Municipality of Berchidda (Italy) towards a smart local energy community. This planning study represents the first stage of a development action financed by the Sardinian Region, whose Regional Energetic and Environmental Plan identifies the Municipality of Berchidda as a priority area to focus the experimental actions for innovative smart grids and intelligent energy management. The project, named “Berchidda Energy 4.0”, focuses on increasing the energy efficiency of the community by boosting local renewable generation production and maximizing its self-consumption, also with the support of storage systems, as well as increasing the active involvement of the consumers that will be equipped with a smart home automation system for demand response applications.