Local flexibility market design for aggregators providing multiple flexibility services at distribution network level

This paper presents a general description of local flexibility markets as a market-based management mechanism for aggregators. The high penetration of distributed energy resources introduces new flexibility services like prosumer or community self-balancing, congestion management and time-of-use optimization. This work is focused on the flexibility framework to enable multiple participants to compete for selling or buying flexibility. In this framework, the aggregator acts as a local market operator and supervises flexibility transactions of the local energy community. Local market participation is voluntary. Potential flexibility stakeholders are the distribution system operator, the balance responsible party and end-users themselves. Flexibility is sold by means of loads, generators, storage units and electric vehicles. Finally, this paper presents needed interactions between all local market stakeholders, the corresponding inputs and outputs of local market operation algorithms from participants and a case study to highlight the application of the local flexibility market in three scenarios. The local market framework could postpone grid upgrades, reduce energy costs and increase distribution grids’ hosting capacity.Postprint (published version

A flexible business model for the ETP Wijster:final report

Eén van de doelstellingen van het onderzoeksproject Flexiheat is het ontwerpen van innovatieve business modellen die een succesvolle exploitatie van warmtenetten stimuleren door het benutten van flexibiliteit. Binnen Flexiheat is het Energy Transition Park in Wijster met de afvalverbrandingsinstallatie van Attero één van de cases. Het ETP Wijster is op zoek naar een innovatief bedrijfsconcept, waarbij flexibiliteit de nieuwe vorm van waardecreatie is. In deze studie hebben we een flexibel, multi-commodity business model ontworpen en gevalideerd dat het voor Attero en de omliggende industrie op het ETP mogelijk maakt om de flexibiliteit van de industriële processen te benutten en succesvol te exploiteren. De bron van flexibiliteit in dit model is de intelligente integratie van het warmte- en elektriciteitsnet. In plaats van in vaste hoeveelheden warmte en elektriciteit te produceren wordt de productie van deze commodities afhankelijk gemaakt van de prijzen op de verschillende elektriciteitsmarkten (day-head, intraday en onbalansmarkt) en de beschikbare flexibiliteit bij de bedrijven. De bedrijven verhandelen hun flexibiliteit op een intern handelsplatform. Het business model is gevalideerd door middel van een technisch-economisch model dat potentiële winsten berekend. De resultaten tonen aan dat het business model haalbaar is

New actor types in electricity market simulation models: Deliverable D4.4

Project TradeRES - New Markets Design & Models for 100% Renewable Power Systems: https://traderes.eu/about/ABSTRACT: The modelling of agents in the simulation models and tools is of primary importance if the quality and the validity of the simulation outcomes are at stake. This is the first version of the report that deals with the representation of electricity market actors’ in the agent based models (ABMs) used in TradeRES project. With the AMIRIS, the EMLab-Generation (EMLab), the MASCEM and the RESTrade models being in the centre of the analysis, the subject matter of this report has been the identification of the actors’ characteristics that are already covered by the initial (with respect to the project) version of the models and the presentation of the foreseen modelling enhancements. For serving these goals, agent attributes and representation methods, as found in the literature of agent-driven models, are considered initially. The detailed review of such aspects offers the necessary background and supports the formation of a context that facilitates the mapping of actors’ characteristics to agent modelling approaches. Emphasis is given in several approaches and technics found in the literature for the development of a broader environment, on which part of the later analysis is deployed. Although the ABMs that are used in the project constitute an important part of the literature, they have not been included in the review since they are the subject of another section.N/

Barriers to the implementation of Flexible Demand services within the GB electricity generation and supply system

The implementation of a low carbon electricity system within the GB requires a significant change to the generation mix with an increasing role for renewable generation. Much of this generation will be intermittent. To date system balancing has largely relied on predicting demand and ensuring provision. With substantial intermittency, continuation of this paradigm necessitates significant investment in peaking plant and/or storage. However, some of this investment can be avoided by harnessing the flexibility inherent in many electrical loads. Despite the attractiveness of such services, we do not see their large-scale implementation. The aim of this thesis is to consider why. A historical analysis reveals that both nationalisation and subsequent privatisation provide precedents for significant structural change as the integration of large-scale flexible demand might require. The need for political will is identified as a crucial enabling factor. Without an ideological driver, however, a perception of economic and/or technological risk can preclude the implementation of supportive policy. This perception is addressed through demonstration. An effective demonstration must show the ability to aggregate many small loads in a coordinated manner. A genetic algorithm that provides this core dispatch and optimisation capability is presented. This algorithm is shown to be effective in aggregating many small loads to provide a net effect that can be used as a balancing service and to do so in an optimal way considering both cost and reliability. Having demonstrated feasibility appropriate incentives must be created. An initial outline for a framework based on SysML is presented that can be used to identify where structural barriers to implementation are present to aid the design of appropriate policy incentives