A shared PV system for transportation and residential loads to reduce curtailment and the need for storage systems

This paper proposes a shared multi-stakeholder PV system for traction substations and nearby residential loads to reduce the need for storage, AC grid exchange, and curtailment. The residential stakeholders offer both the base electrical load and the solar panels installation space needed by the traction stakeholder, who brings the peak load...

Smart grid, Smart rules or Smart context?: A comparative case study of smart grid implementation in three (experimental) community energy projects

The Paris Agreement seeks to limit global temperature rise and achieve climate neutrality by 2050. The UN's Sustainable Development Goal 7 emphasizes sustainable energy access, with smart grids playing a crucial role. These grids adapt to user behavior and interconnect various components. While smart grids address challenges in integrating...

Distributed Demand Side Management With Stochastic Wind Power Forecasting

In this article, we propose a distributed demand-side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing...

Cyber-Attack Detection and Countermeasure for Distributed Electric Springs for Smart Grid Applications

With increasing installations of grid-connected power electronic converters in the distribution network, there is a new trend of using distributed control in a cyber layer to coordinate the operations of these power converters for improving power system stability. However, cyber-attacks remain a threat to such distributed control. This paper...

Smart contracts in energy systems: A systematic review of fundamental approaches and implementations

Given the ongoing transition towards a more decentralised and adaptive energy system, the potential of blockchain-enabled smart contracts for the energy sector is being increasingly recognised. Due to their self-executing, customisable and tamper-proof nature, they are seen as a key technology for enabling the transition to a more efficient,...

Event triggered non-cooperative game theory for demand side management in smart grids

Over the past decade, a new concept for the power grid called the smart grid emerged, to enable two way energy transport and communication. With this new smart grid architecture many opportunities for control methods arise. While this can improve the efficiency of the power grid, all these methods require communication, which is a limited...

Just Energy? Designing for Ethical Acceptability in Smart Grids

Smart grids within the transition to sustainable energy systems Smart grid systems are widely considered as crucial in the energy transition, because they allow for greater flexibility in bridging temporal gaps between electricity supply and demand in renewable energy systems. To do so, the systems make use of information and communication...

Decentralized Optimal Power Flow for Bipolar DC Grids: An algorithm for online optimization using grid measurements and droop control

The optimal power flow (OPF) problem is a classic and widely-studied topic in the field of power systems.Its purpose is to minimize the running costs of a power system by determining the optimal operating points,while respecting a set of physical constraints. While most power systems are currently controlled by a centralcoordinator, there is...

A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids

Power outages in electrical grids can have very negative economic and societal impacts rendering fault diagnosis paramount to their secure and reliable operation. In this paper, deep neural networks are proposed for fault detection and location in low-voltage smart distribution grids. Due to its key properties, the proposed method solves some...

Policy challenges for the development of energy flexibility services

European energy policies call for an increased share of renewable energy sources and a more active role of the energy consumer. This is facilitated by, amongst others, buildings becoming energy flexible hubs, supporting smart energy grids with demand response strategies. While there is abundant technical research in this field, the related...

Protecting the grid topology and user consumption patterns during state estimation in smart grids based on data obfuscation

Smart grids promise a more reliable, efficient, economically viable, and environment-friendly electricity infrastructure for the future. State estimation in smart grids plays a pivotal role in system monitoring, reliable operation, automation, and grid stabilization. However, the power consumption data collected from the users during state...

2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results

This paper summarizes the two testbeds, datasets, and results of the IEEE PES Working Group on Modern Heuristic Optimization (WGMHO) 2017 Competition on Smart Grid Operation Problems. The competition is organized with the aim of closing the gap between theory and real-world applications of evolutionary computation. Testbed 1 considers...

Optimisation of NB-IoT deployment for smart energy distribution networks

A suitability assessment and performance optimisation is presented of narrowband Internet of Things (NB-IoT) cellular technology for use in smart energy distribution networks. The focus is on the reliable and timely delivery of outage restoration and management (ORM) messages at the event of a local or regional power outage. Both the cellular...

Smart Curtailment of Renewable Energy Resources for Increasing Capacity of Distribution Grids

Nowadays renewable energy sources (RES) are growing at a rapid pace, particularly the wind energy. The high amount of wind power penetration into the power grids poses a major challenge to Transmission System Operators (TSO) in terms of the operational management, as wind power is highly uncertain. The highly uncertain nature of the wind power...

The Advantages and Challenges of the Blockchain for Smart Grids

In our current society both the demand for electricity is increasing and the demand for electrical energy as energy carrier is increasing. Renewable sources will play an important role in future energy generation due to societal developments. These distributed energy resources introduce new challenges to our current electrical power system. One...

An exploration of the three-layer model including stakeholders, markets and technologies for assessments of residential smart grids

In this paper, a framework is presented for the evaluation of smart grid environment which is called the three-layer model. This three-layer model comprises three specific categories, or 'layers', namely, the stakeholder, market and technologies layers. Each layer is defined and explored herein, using an extensive literature study regarding...

The Economic Impact Model for Smart Grids

Smart grids are introduced as a promising concept to facilitate the future energy supply system without excessive distribution grid reinforcement, while maintaining the same level of reliability. Load management is expected to enable a higher grid capacity utilization, thereby deferring or eliminating the need for asset reinforcements and...