Market-based self-organized provision of active power and ancillary services: An agent-based approach for Smart Distribution Grids

Niese, Astrid; Lehnhoff, Sebastian; Tröschel, Martin; Uslar, Mathias; Wissing, Carsten; Appelrath, Hans-Jürgen; Sonnenschein, Michael

doi:10.1109/compeng.2012.6242953

Cited by 61 publications

(32 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The product target of 25 kWh is not reached due to the tolerance settings within coalition formation; these can be adapted individually for each product. 3 A second flexibility assessment was triggered at 0 p.m. on day 1. Fig.…”

Section: B Experimental Setup and Resultsmentioning

confidence: 99%

“…Additionally, fully distributed control algorithms are being used, as will be shown in the following sections, building the foundation for the dispersal stage in the mentioned transition path. A preliminary description of the concept including a detailed differentiation from related approaches was given in [3].…”

Section: Distributed Control In Energy Systemsmentioning

confidence: 99%

“…To introduce the concept of dynamic virtual power plants and show which tasks have to be performed by the software agents, we refer to the use case of active power products traded on the day-ahead power market, where product trading is based on an auction mechanism as described in [3] (see Fig. 1).…”

Section: Dynamic Virtual Power Plantsmentioning

confidence: 99%

See 2 more Smart Citations

Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants

Nieße

Beer

Bremer

et al. 2014

Annals of Computer Science and Information Systems

Self Cite

View full text Add to dashboard Cite

Abstract-The increasing pervasion of information and communication technology (ICT) in energy systems allows for the development of new control concepts on all voltage levels. In the distribution grid, this development is accompanied by a still increasing penetration with distributed energy resources like photovoltaic (PV) plants, wind turbines or small scale combined heat and power (CHP) plants. Combined with shiftable loads and electrical storage, these energy units set up a new flexibility potential in the distribution grid that can be tapped with ICT-based control following the long-term goal of substituting conventional power generation. In this contribution, we propose an architectural model and algorithms for the self-organization of these distributed energy units within dynamic virtual power plants (DVPP) along with first results from a feasibility study of the integrated process chain from market-driven DVPP formation to product delivery.

show abstract

Section: B Experimental Setup and Resultsmentioning

confidence: 99%

Section: Distributed Control In Energy Systemsmentioning

confidence: 99%

See 1 more Smart Citation

Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants

Nieße

Beer

Bremer

et al. 2014

Annals of Computer Science and Information Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Accordingly, and conversely to Kok et al (2005), this paper proposes the use of self-organisation to set the rules; these are based on different canons of distributive justice, after allocating energy generation. Niese et al (2012) and Wedde et al (2008) also propose the use of selforganisation for determining the matching between load and generation. However, they propose a distributed negotiation between consumers and producers.…”

Section: Related Workmentioning

confidence: 99%

Self-organising energy demand allocation through canons of distributive justice in a microgrid

Torrent-Fontbona

López

Busquets

et al. 2016

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

The energy sector is being driven into a new era where considerable portions of electrical demand will be met through distributed energy resources (DERs). Microgrids have been suggested as a tool for integrating and managing DERs. In this context, we formulate the energy demand allocation problem in order to provide service to a given load. We then propose a dynamic method for agreeing and setting the rules to perform the allocation. The methodology is based on self-organisation and the concept of distributive justice which integrates different principles of fairness represented as legitimate claims. Legitimate claims are implemented as voting functions and are used to determine how the DER requests are satisfied. The method is tested by considering different configurations of DERs, mainly of the renewable type, and comparing them with other allocation methods. Results show that this self-organising allocation method provides a better balance amongst all the representations of justice, but also it is more robust for the external authorities that manipulate the allocation process.

show abstract

“…Importantly, these benefits of AEC can be amplified in domestic coalitions, where a number of houses come together to share their energy generation and coordinately shift their heating consumption in order to further minimize the energy drawn from the grid. Now, having this happen, requires the market to allow such groups to act as an individual, and can be facilitated by forming a micro-grid [Palizban et al 2014], or, in a more general manner, by conducting appropriate contracts through dynamic on-line energy exchange providers, utilizing the national grid and smart metering [Niese et al 2012]. That said, smart meters are already being installed in many countries [Krishnamurti et al 2012] and dynamic on-line energy exchange is being explored through initiatives such as Piclo, Clickpower, and Powershop.…”

Section: Introductionmentioning

confidence: 99%

Advanced Economic Control of Electricity-Based Space Heating Systems in Domestic Coalitions with Shared Intermittent Energy Resources

Panagopoulos

Maleki

Rogers

et al. 2017

ACM Trans. Intell. Syst. Technol.

View full text Add to dashboard Cite

Over the past few years, domestic heating automation systems (DHASs) that optimize the domestic space heating control process with minimum user-input, utilizing appropriate occupancy prediction technology, have emerged as commercial products (e.g, the smart thermostats from Nest and Honeywell). At the same time, many houses are being equipped with, potentially grid-connected, intermittent energy resources (IERs), such as rooftop photovoltaic systems and/or small wind turbine generators. Now, in many regions of the world, such houses can sell energy to the grid but at a lower price than the price of buying it. In this context, and given the anticipated increase in electrification of heating, the next generation DHASs need to incorporate advanced economic control (AEC). Such AEC can exploit the energy buffer that heating loads provide, in order to shift the consumption of electricity-based heating systems to follow the intermittent energy generation of the house. By so doing, the energy imported from the grid can be minimized and considerable monetary gains for the household can be achieved, without affecting the occupants' schedule. These benefits can be amplified still further in domestic coalitions, where a number of houses come together and share their IER generation to minimize their cumulative grid energy import.Given the above, in this work we extend a state-of-the-art DHAS, to propose AdaHeat+, a practical DHAS, that, for the first time, incorporates AEC. Our work is applicable to both individual houses and domestic coalitions and comes complete with an allocation mechanism to share the coalition gains. Importantly, we propose an effective heuristic heating schedule planning approach for collective AEC which: (i) has a complexity that scales in a linear and parallelizable manner with the coalition size, and (ii) enables AdaHeat+ to handle the distinct preferences, in balancing heating cost and thermal discomfort, of the households. Our approach relies on stochastic IER power output predictions. In this context, we propose a simple and effective formulation for the site-specific calibration of such predictions based on adaptive Gaussian process modeling. Finally, we demonstrate the effectiveness of AdaHeat+ through real data evaluation, to show that collective AEC can improve heating cost-efficiency by up to 60%, compared to independent AEC (and even more when compared to no-AEC).

show abstract

Market-based self-organized provision of active power and ancillary services: An agent-based approach for Smart Distribution Grids

Cited by 61 publications

References 8 publications

Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants

Conjoint Dynamic Aggregation and Scheduling Methods for Dynamic Virtual Power Plants

Self-organising energy demand allocation through canons of distributive justice in a microgrid

Advanced Economic Control of Electricity-Based Space Heating Systems in Domestic Coalitions with Shared Intermittent Energy Resources

Contact Info

Product

Resources

About