Energy Storage Sizing in Presence of Uncertainty

Taheri, Sina; Kekatos, Vassilis; Veeramachaneni, Sriharsha

doi:10.1109/pesgm40551.2019.8973568

Cited by 4 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is straightforward from the literature survey that, the ESUs are placed in the distribution network to improve the following: (i) fluctuations of renewable energy plants (REPs) [9], [20], [21], [22] (ii) minimization of distribution network loss [23]- [26], (iii) power quality [12], [27], [28], (iv) reliability of distribution network [29]- [32], (v) arbitrage cost (between utility and REPs) [33], [34]. Apart from these parameters, it is also required to consider the uncertainty introduced due to renewables and load.…”

Section: Hesumentioning

confidence: 99%

“…Installation of grid-tied ESUs in the distribution network improves its performance in various ways as mentioned earlier. However, without considering the uncertainties introduced mainly due to RESs and load, leading to doubtful results [22]. In this article, the uncertainties of RES and load are modeled on their probabilistic behavior.…”

Section: A Clustering Of Distribution Networkmentioning

confidence: 99%

“…The objective function of the optimization problem comprises of five parameters namely the capital investment of HESU, operation and maintenance cost of HESU, land required to install the optimal HESU & its associated cost, price of environmental impact due to HESUs and the grid performance parameters such as voltage deviation cost, cost of line loading, cost of apparent power loss are represented from equation (13) to (22).…”

Section: B Optimization Problemmentioning

confidence: 99%

See 2 more Smart Citations

Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network

2020

View full text Add to dashboard Cite

In recent days, aiming for power generation with less carbon emission, led to the high penetration of renewable energy into the distribution grid. To improve the intermittency caused by renewables and to increase the grid flexibility, grid integrated Energy Storage Units (ESUs) are proposed as the promising solution in the literature. However, considering the investment cost, ESUs are optimally placed by satisfying the network electrical constraints. On the other hand, consideration of environmental impacts and other practical constraints are also equally important. Therefore, in this article, on top of grid performance parameters, realistic parameters that may affect the location and its size such as (1) environmental impact, (2) land requirement & its associated cost for ESU installation and (3) renewable purchase obligation are formulated in the objective function. Decision making on ESU installation is a planning activity, which follows uncertainty. Consequently, it is essential to model the uncertainty parameters into the objective function, for better planning. In this article, optimal planning of hybrid ESUs based on realistic parameters along with uncertainty is addressed. For this study, a practical 156-bus distribution system of Dehradun district, India is considered. From the results obtained, it is evident that, formulating hybrid ESU constrained with the environmental impact has significantly decreased the emission of CO2 with maximum grid stability. INDEX TERMS Batteries, distributed power generation, environmental economics, power system planning, sustainable development.

show abstract

Section: Hesumentioning

confidence: 99%

Section: A Clustering Of Distribution Networkmentioning

confidence: 99%

Section: B Optimization Problemmentioning

confidence: 99%

See 1 more Smart Citation

Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network

2020

View full text Add to dashboard Cite

show abstract

“…DRCC formulations have been extensively applied for modelling uncertainties in a variety of power system problems, e.g., optimal power flow [19]- [21], unit commitment [22], [23] and reserve scheduling [24]. DRCC-based approaches have also been employed to demonstrate how ESDs can mitigate the impacts of uncertainties from renewable generation while facilitating their uptake [25], [26]. However, there are only a few literatures which present DRCC applications to an aggregator's bidding strategy problem for participation in electricity [17], [26], [27] and ancillary services [28] markets.…”

Section: Introductionmentioning

confidence: 99%

“…2) Unlike [17], [26]- [28] where the aggregator's bidding strategy formulation is explored from the perspective of active power flows only, this paper explicitly models the active and reactive power flow and voltage security constraints at each line and node (respectively) of the distribution network using the linearized DistFlow model proposed in [30]. 3) Unlike [25], [26] where the ESDs are modelled with respect to active power exchanges only, inverterconnected storage devices capable of providing fourquadrant P -Q support are modelled in this paper as part of the aggregator's bidding strategy formulation.…”

Section: Introductionmentioning

confidence: 99%

Investigating Impacts of Storage Devices on Distribution Network Aggregator’s Day-Ahead Bidding Strategy Considering Uncertainties

Bagchi¹,

Best

Morrow

2021

IEEE Access

View full text Add to dashboard Cite

This paper proposes a novel approach for investigating how energy storage devices (ESD) can affect a profit-maximizing distribution network aggregator's bidding strategy in day-ahead (DA) electricity markets in the presence of uncertainties. The impacts of random renewable generation and demand on the aggregator's real-time (RT) energy transactions and on network security parameters (e.g., line loadings and nodal voltages) are modelled using distributionally robust chance constraints (DRCC), which guarantee their validity with high probability as long as the true (but unknown) probability distribution of random variables belongs to an ambiguity set. This paper adopts a data-driven approach for defining the ambiguity set using the first and second order moments of random variables extracted from historical data. The aggregator's overall profit maximization problem (incorporating ESDs and DRCCs) is reformulated into a convex, deterministic equivalent and solved using the MATLAB-based Disciplined Convex Programming software CVX. Results from simulations performed on an actual 11-kV distribution feeder show that the proposed bidding strategy enables the aggregator to achieve an efficient trade-off between profitability in the DA market and risk exposure in RT. Additionally, the results demonstrate the ability of ESDs to further increase the aggregator's DA profits (through energy arbitrage) without exposing it to additional risks in RT. The impact of incorporating ESDs on distribution network security parameters is also investigated under different settings of the aggregator's risk tolerance. Finally, some considerations on computational burden and optimisation model accuracy are presented.

show abstract

Optimal Storage and Solar Capacity of a Residential Household Under Net Metering and Time-of-Use Pricing

Chakraborty

Baeyens

et al. 2023

IEEE Control Syst. Lett.

View full text Add to dashboard Cite

Energy Storage Sizing in Presence of Uncertainty

Cited by 4 publications

References 12 publications

Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network

Environmental Constrained Optimal Hybrid Energy Storage System Planning for an Indian Distribution Network

Investigating Impacts of Storage Devices on Distribution Network Aggregator’s Day-Ahead Bidding Strategy Considering Uncertainties

Optimal Storage and Solar Capacity of a Residential Household Under Net Metering and Time-of-Use Pricing

Contact Info

Product

Resources

About