Efficient Shapley Value Approximation Methods: for Cost Redistribution in Energy Communities

With the emergence of energy communities, where a number of prosumers (consumers with their own energy generation) invest in shared renewable generation capacity and battery storage, the issue of fair allocation of benefits and costs has become increasingly important. The Shapley value, a solution concept in cooperative game theory initially...

Efficiency of Peer-to-Peer Trading Coalitions in Energy Communities

Peer-to-peer trading and energy communities have garnered much attention over the last few years due to the wider spread of distributed energy resources. Much research has been performed on the mechanisms and methodologies behind their implementation and realisation. However, the efficiency and micro-structure of trading in such markets raise...

Optimising BESS Control Strategies for Congestion and Price Arbitrage

Renewable energy generation projects are often measured by their peak capacity. A wind farm rated at 25 MW will generate 25 MW of power under the right circumstances. This peak capacity is reached very little in practice. However, these generators are forced to purchase grid operation infrastructure that can handle this peak generation event....

The Financial Benefit of Energy Consumption Behavior Diversity Within an Energy Community

Energy communities are not yet fully self sufficient, mostly due to financial factors. Efforts are made to reduce these factors. Communities invest in community-owned assets, which provide more savings compared to individually-owned assets. Prosumers share their loads for better energy distribution, this can provide a significant impact. A good...

Battery Degradation in Control Algorithms for Redistribution of Benefits in a Community Energy Project

In a community energy project, batteries are the asset with the shortest lifespan and are therefore key contributors to cost. Understanding the influence of the battery state of health model on a control algorithm designed for redistribution of benefits in terms of financial gains in a community energy project can help elongate battery lifetime...

Improving the efficiency of renewable energy assets by optimizing the matching of supply and demand using a smart control algorithm

Given the fundamental profit gained by renewable energy assets in climate control, existing control algorithms are urged to be improved to match power supply and demand optimally. This paper explores various designed cases that lead toward an enhanced definition of a control algorithm with optimized behaviour. The core of improvement is...

Improving the efficiency of an energy management system with machine learning

This paper explores the possibility of using machine learning to improve the profits generated by an energy management system for so called prosumer households. Which are households with their own energy production, consumption, and storage. The commonly used deterministic algorithms only take the current data into account when deciding on how...

Modelling an electricity price and journey time trade-off routing decision for electric vehicles

This paper introduces an electricity price extension to the intention-aware routing system (IARS) for electric vehicles (EV). The existing intention-aware routing system is used to route electric vehicles who require to charge en-route through a road network. To achieve the objective of minimising the average journey time, the intentions of EVs...

Evaluation and Comparison of Scheduling Strategies for the Scheduling of Electric Vehicles at Capacity-Constrained Charging Stations

As the popularity of electric vehicles (EVs) increases, congestion at charging becomes a more imminent problem. Congestion at a charging station can lead to long waiting queues and failure of EV owners to charge their vehicles fully before their departure from the station. To combat this issue, this paper explores several candidate scheduling...

The influence of a charging station’s location on its profitability [paper]

With the increasing number of electric vehicles onthe road, the routing problem has become morecomplex. As charging electric vehicles takes longerthan fueling non-electric vehicles, congestion canoccur at charging stations. This might lead to theshortest route not being the fastest route, due tolong waiting times at the stations. By commu...

Efficient Routing Decisions for Electric Vehicles in a Congested Network

The Electric Vehicle Routing Problem (E-VRP) is an extension of the infamous Vehicle Routing Problem which asks which routing decisions an electric vehicle needs to take in order to traverse the network efficiently. Many extensions of this problem have been subject to research in the last decade and now that electric vehicles are starting to pop...

Intention Aware Routing System with variable station pricing

Intention Aware Routing System is a route-planning algorithm for electric vehicles that minimizes overall travel time by taking into consideration congestion at charging stations. This paper extends this algorithm to allow choices to be made based on prices at charging stations. The goal of this paper is to find a way to minimize maximum...