Hierarchical predictive control scheme for distributed energy storage integrated with residential demand and photovoltaic generation

Lampropoulos, Ioannis; Garoufalis, P Panagiotis; Bosch, P.P.J. van den; Kling, W.L.

doi:10.1049/iet-gtd.2014.0908

Cited by 24 publications

(26 citation statements)

References 14 publications

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“…Annual costs and benefits are calculated by using historical market data. Earlier work on the economic optimisation of distributed energy storage, coupled with residential demand and PV generation, addressed a revenue analysis of the passive contribution in system balancing which is a voluntary scheme attributable to the Dutch system organisation [24,25]. In this paper, the focus of the economic analysis is on the active contribution in system balancing, i.e.…”

Section: Introductionmentioning

confidence: 99%

A framework for the provision of flexibility services at the transmission and distribution levels through aggregator companies

Lampropoulos

AlSkaif

Blom

2019

Sustainable Energy, Grids and Networks

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a b s t r a c tA hierarchical control framework is proposed that enables the provision of flexibility services in power systems through aggregation entities. The focus is on both wholesale energy trade functions, i.e. dayahead market optimisation, and ancillary services to the operators of the transmission and distribution systems, i.e. provision of automatic frequency restoration reserves and peak shaving services. The control framework is generic, scalable, and is effectively configured to address all those diverse needs originating from the lower level, i.e. the device or the user, to the distribution and transmission levels. The work includes the establishment of procedures to identify and solve possible conflicts between the operators of the transmission and distribution systems when procuring ancillary services with competing objectives. The framework is applied on a case study focusing on an aggregation of residential buildings in the Netherlands which are equipped with photovoltaic installations and battery-based energy storage systems. The annual costs and benefits are calculated by using historical market data, whereas the simulation scenarios address the impact of different levels of generation and demand forecasting errors in the economic performance. The outcome of computer simulations provides an informative insight into the differences between the strategies of aggregator companies, and the potential of the investigated markets. The economic evaluation includes the value estimation of peak shaving services at the distribution level. An increase in procurement costs for such services is expected to stimulate the distribution system operators to invest into grid capacity enhancement. (I. Lampropoulos).1 Prosumer is a portmanteau derived by combining the word professional (or producer, or provider) with the word consumer.

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Section: Introductionmentioning

confidence: 99%

A framework for the provision of flexibility services at the transmission and distribution levels through aggregator companies

Lampropoulos

AlSkaif

Blom

2019

Sustainable Energy, Grids and Networks

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“…Several scheduling and control schemes have been proposed in the literature to operate dispatchable feeders, e.g. [1]- [3]. The computation of the DiS constitutes one of the major challenges in all these works.…”

Section: Introductionmentioning

confidence: 99%

“…Throughout all simulations reported in Section V, this worst-case choice for ε P has not led to infeasibility of the scheduling problem 3. We recall that, given a random variableZ ∈ L 2 (Ω, µ; R), the CDF is a function F Z (z) : Ω → [0, 1] such that F Z (z) := P[Z ≤ z].…”

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confidence: 99%

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances

Appino

Ordiano

Mikut

et al. 2018

2018 Power Systems Computation Conference (PSCC)

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Dispatchability of renewable energy sources and inflexible loads can be achieved using a volatility-compensating energy storage. However, as the future power outputs of the inflexible devices are uncertain, the computation of a dispatch schedule for such aggregated systems is non-trivial. In the present paper, we propose a novel scheduling method that enforces the feasibility of the dispatch schedule with a pre-determined probability based on a description of the operation of the system as a two-stage decision process. Thereby, a crucial point is the use of probabilistic forecasts, in terms of cumulative density function, of the inflexible energy consumption/production profile. Then, for the sake of comparison, we introduce a second scheduling method based on state-of-the-art scenario optimization, where, unlike the proposed method, the focus is on the minimization of the expected final cost. We draw upon simulations based on real consumption and production data to compare the methods and illustrate our findings.

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“…Control strategies of different time scales are also taken into consideration [10]. Some researchers have studied storage charge and discharge control strategies based on hybrid energy storage.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Energy Management of Hybrid Energy Storage Systems with a Hierarchical Structure

Chang

Miao

et al. 2016

Energies

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Abstract:In power system control unicontrol with single storage units or centralized control with multiple storage units to meet different level targets is challenging. Considering the charge and discharge characteristics of storage devices, this paper proposes a hierarchical configuration structure of a battery and supercapacitor mixed storage scenario, and develops a convenient control method for accessing various DC loads and can central manage mass batteries in one place. Aiming at the optimal management of large scale battery storage, the paper proposes a three-layer battery hierarchical control structure and the control objects and control circuits are discussed. Simulation studies are used to verify the control effect of the hierarchical storage system and the results show that the strategy can effectively decrease photovoltaic output fluctuation.

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Hierarchical predictive control scheme for distributed energy storage integrated with residential demand and photovoltaic generation

Cited by 24 publications

References 14 publications

A framework for the provision of flexibility services at the transmission and distribution levels through aggregator companies

A framework for the provision of flexibility services at the transmission and distribution levels through aggregator companies

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances

Dynamic Energy Management of Hybrid Energy Storage Systems with a Hierarchical Structure

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