Multi-criteria optimization of an energy storage system within a Virtual Power Plant architecture

Lombardi, Pio; Stötzer, Martin; Styczynski, Zbigniew A.; Orths, Antje

doi:10.1109/pes.2011.6039347

Cited by 20 publications

(11 citation statements)

References 1 publication

(1 reference statement)

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“…[5] and [7] deal with the determination of an optimal storage capacity of ESD under consideration of economic aspects. In [5], a time series analysis is used to determine the optimal capacity by using typical feed-in and load profiles for low and medium voltage networks.…”

Section: B Determination Of the Optimal Storage Capacitymentioning

confidence: 99%

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Agent based management of energy storage devices within a Virtual Energy Storage

Unger

Myrzik

2013

2013 IEEE Energytech

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The increasing share of distributed energy resources, which will be connected to electrical networks in the future, requires innovative network structures to ensure a reliable energy supply. The integration of electrical energy storage devices will become more and more important in this context. Within this paper, an energy storage management system will be presented, which uses the multi agent system approach to increase the efficiency of the whole system, by using several agents. Thereby, the single storage devices are operating in a Virtual Energy Storage. The agent based realization of the Virtual Energy Storage, as well as its application will be presented in this paper. Thereby, a case study is used to demonstrate the suitability of the agent based management of several energy storage devices in future distribution networks.

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Section: B Determination Of the Optimal Storage Capacitymentioning

confidence: 99%

“…The ESD are operating based on the optimal operation costs of the devices. In [7], a methodology is presented, which can be used to find the optimal storage capacity within an electrical network. Therefore, as well economic, as technical criteria are taken into account.…”

Section: B Determination Of the Optimal Storage Capacitymentioning

confidence: 99%

Agent based management of energy storage devices within a Virtual Energy Storage

Unger

Myrzik

2013

2013 IEEE Energytech

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“…With regard to the Russian Federation, many autonomous and semi-autonomous power systems are being planned (see Figure 1). In such systems to increase a stable and economic operation, Energy Storage Systems (ESS) must be used in order to balance, whenever necessary, the demand with the generation and to increase the security of supply, in case of an emergency [3], [4]. The use of ESS is especially necessary if volatile RES, such as wind and solar, is widely used within an APS.…”

Section: Introductionmentioning

confidence: 99%

Use of an economic index for optimal storage dimensioning within an autonomous power system

Sokolnikova

Suslov

Lombardi

et al. 2013

2013 IEEE Grenoble Conference

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In many European and Asian regions the use of autonomous and semi-autonomous power systems is quite useful. Such systems have local generations which, for the most part, are based on both fossil energy sources and renewable energy sources. In such Energy Storages Systems (ESS) are necessary to ensure the supply to the consumers. Considering economic criteria, an optimal storage capacity for each generation mix can be obtained. This study aims firstly to review the ESS technologies and, secondly, to explain a methodology for designing the optimal storage capacity within an autonomous and semi-autonomous power system. A new economic index has been introduced, which summarizes the discount values for not integrating the power generated by RES into the grid. In balance with this discounted value, the discounted energy storage costs have been considered. The calculation shows that in some cases a semi-autonomous operation is quite favorable from an economic point of view

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“…In recent papers storage optimization on electricity markets was examined. However, the examination either only focused on a single-market operation [7] or a cross-market operation on spot and reserve markets was evaluated [8], but without considering significant constraints like the influence of the actual dispatch of the reserve power on the available storage capacity. Studies and dissertations on storage technologies used in German electricity markets like [9] and [10] take the German market design into account, but do not consider electricity grid restrictions at all.…”

Section: Introductionmentioning

confidence: 99%

Evaluating regulatory and market frameworks for energy storage deployment in electricity grids with high renewable energy penetration

Wasowicz

Koopmann

Dederichs

et al. 2012

2012 9th International Conference on the European Energy Market

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Investment volumes in renewable energies in Germany are far ahead of the necessary infrastructure to integrate them into both the electricity market and the grid. For storages and other technologies offering flexibilities the current regulatory framework and the market design in Germany remain a barrier for upcoming investments. In this paper regulatory barriers for an economically efficient energy storage deployment are presented and evaluated using a generic optimization model for a multifunctional operation of storage technologies on electricity markets capable to consider different market and regulatory design changes. Due to the rising significance of grid restrictions for the integration of intermittent resources and upcoming new innovative storage technologies on distribution grid level, the electricity grid was integrated into the model. Such an approach enables a quantitative analysis of interaction between market operation and grid congestion. This is shown using a 110kV high-voltage grid in the North of Germany as a representative congested grid with ongoing curtailments due to high wind energy penetration. Storage technologies -and also other measures as demand-side and generation managementwill need a flexible market and a sophisticated regulatory design in order to significantly add value to the future energy system. Index Terms--Storageoptimization, Regulatory framework, Electricity market design for storage technologies, Electricity storage technologies, Renewable energy storage, Integrating electricity storage, Multifunctional storage optimization 1 Peak load in Germany is appr. 76.8 GW. 2 E.ON is one of world's largest suppliers of electricity and gas with 85,000 employees and 93 billion Euros of revenue in 2010.Evaluating regulatory and market frameworks for energy storage deployment in electricity grids with high renewable energy penetration T 1:6. Average reserve market prices from 2008 -2010 and spot market prices (EPEX spot) from 2009 were taken. Storage application Typical operator Day-ahead and intraday marketEnergy utility, trading company, independent storage operator (IStO) Reserve (balancing) marketsEnergy utility, trading company, IStO Avoidance or deferral of grid investmentGrid operator, (IStO as a service) Voltage stabilityGrid operator, (IStO as a service) Grid integration of renewablesGrid operator, IStO, Renewables plant operator Market integration of renewablesUtility, IStO, Renewables plant operator Island or micro grids Utility, grid operator, IStO

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Multi-criteria optimization of an energy storage system within a Virtual Power Plant architecture

Cited by 20 publications

References 1 publication

Agent based management of energy storage devices within a Virtual Energy Storage

Agent based management of energy storage devices within a Virtual Energy Storage

Use of an economic index for optimal storage dimensioning within an autonomous power system

Evaluating regulatory and market frameworks for energy storage deployment in electricity grids with high renewable energy penetration

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