A receding horizon control approach for re-dispatching stochastic heterogeneous resources accounting for grid and battery losses

Stai, Eleni; Sossan, Fabrizio; Namor, Emil; Boudec, Jean-Yves Le; Paolone, Mario

doi:10.1016/j.epsr.2020.106340

Cited by 12 publications

(13 citation statements)

References 23 publications

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“…where ∆t is the sampling time. Charging and discharging efficiency is accounted for by integrating the BESS equivalent resistance in the load flow problem as proposed in [65]. If load flow equations are linearized, this modeling choice retains the convexity of the problem without requiring the use of additional variables as, for example, in [66].…”

Section: Problem Formulationmentioning

confidence: 99%

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

2021

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Distributed photovoltaic (PV) generation is typically connected to power distribution grids, which are not designed to host a large amount of production if it is significantly larger than their nominal electricity demand. Given the prominent role of PV in energy transition pathways, modeling the existing power distribution infrastructure's constraints and limitations is key for its reliable techno-economical analysis and expansion. As countrywide models of the distribution grids are, in general, not available, this paper first tackles the problem of estimating medium voltage (MV) distribution grids starting from publicly available datasets. It then proposes a method to estimate the PV generation hosting capacity of such grids and extend it through energy storage systems. As a final contribution and ultimate objective, this paper proposes a method to derive cost-optimal plans for countrywide deployment of PV generation and energy storage systems considering the MV power distribution infrastructure's technical limitations. The distributed PV generation potential is modeled with high-spatially resolved capacity factors. Results are discussed using Switzerland as a case study.

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Section: Problem Formulationmentioning

confidence: 99%

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

2021

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“…Stochastic rolling-window dispatch under forecasting uncertainties has been widely studied [6]- [13]. Various stochastic models have been implemented in rolling-window dispatch when considering uncertainties from renewables and demands, including scenario-based stochastic optimization [6]- [10], robust optimization [11], [12], and chanceconstrained stochastic optimization [13]. These works highlight the advantages of incorporating uncertainty models in rolling-window dispatch over a conventional deterministic approaches.…”

Section: B Related Workmentioning

confidence: 99%

“…These works highlight the advantages of incorporating uncertainty models in rolling-window dispatch over a conventional deterministic approaches. In particular, there has been considerable evidence that stochastic rolling-window dispatch can reduce operation costs [7]- [11] and produce reliable scheduling plans [6], [13].…”

Section: B Related Workmentioning

confidence: 99%

Pricing Real-time Stochastic Storage Operations

Chen¹,

Tong²

2022

Preprint

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Pricing storage operation in the real-time market under demand and generation stochasticities is considered. A scenario-based stochastic rolling-window dispatch model is formulated for the real-time market, consisting of conventional generators, utility-scale storage, and distributed energy resource aggregators. We show that uniform pricing mechanisms require discriminative out-of-the-market uplifts, making settlements under locational marginal pricing (LMP) discriminative. It is shown that the temporal locational marginal pricing (TLMP) that adds nonuniform shadow prices of ramping and state-ofcharge to LMP removes the need for out-of-the-market uplifts. Truthful bidding incentives are also established for price-taking participants under TLMP. Revenue adequacy and uplifts are evaluated in numerical simulations.

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“…Several linearizations are possible, e.g. splitting the charging power into mutually exclusive positive and negative terms (with binary variables, or penalization terms in the cost function) or embedding resistive losses in a virtual line, as in [14]. We opt for exclusive terms penalized in the cost function, as explained next, as it does not involve the use of binary variables.…”

Section: A Cost Functionmentioning

confidence: 99%

Smart Charging, Vehicle-to-Grid, and Reactive Power Support from Electric Vehicles in Distribution Grids: A Performance Comparison

Mukherjee

Kariniotakis

Sossan

2021

2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)

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This paper compares different charging strategies for electric vehicles (EVs) and mechanisms to support local distribution grids. First, a general scheduling problem for EVs based on convex optimization and linearized power grid models is presented. Then, it is shown how it can be adapted to model different charging strategies. These include: i) uncoordinated charging, where EVs maximize a local utility function regardless of grid constraints; ii) smart charging, where a charge schedule of all EVs is determined by maximizing their utility function subject to grid constraints; iii) vehicle-to-grid, where bidirectional power from the EVs is allowed; and iv) reactive power support, where 2-and 4-quadrant EV chargers can provide reactive power. The performance of these strategies are investigated considering the CIGRE benchmark system for medium-voltage distribution grids. It shows that, in the proposed scenario, smart charging with reactive power support is conducive to the shortest global recharging time.

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A receding horizon control approach for re-dispatching stochastic heterogeneous resources accounting for grid and battery losses

Cited by 12 publications

References 23 publications

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

Pricing Real-time Stochastic Storage Operations

Smart Charging, Vehicle-to-Grid, and Reactive Power Support from Electric Vehicles in Distribution Grids: A Performance Comparison

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