Trading Off Robustness and Performance in Receding Horizon Control with Uncertain Energy Resources

Amini, Mahraz; Almassalkhi, Mads

doi:10.23919/pscc.2018.8442985

Cited by 28 publications

(14 citation statements)

References 20 publications

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“…However, the underlying, uncertain VESS energy capacity may realize itself unexpectedly and saturate in the energy state, which zeros out the charging rate of the optimized control (power) action. We call this saturation phenomenon dynamic capacity saturation (DCS) [8,17]. DCS may lead to unexpected power imbalances in the power system.…”

Section: Uncertainty Managementmentioning

confidence: 99%

“…Since power systems are suffused with constraints and limits, model predictive control (MPC), with the ability to consider multiple inputs and outputs and the temporal coupling inherent to energy storage and dynamic line rating (DLR), makes it a useful tool for corrective dispatch of energy resources. Therefore, MPC has been widely used for set-points optimization of grid resources, including demand and energy storage applications, e.g., please see [15][16][17]. For a general overview of MPC, please see [18].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Corrective Dispatch of Uncertain Virtual Energy Storage Systems

Amini

Almassalkhi

2020

IEEE Trans. Smart Grid

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High penetrations of intermittent renewable energy resources in the power system require large balancing reserves for reliable operations. Aggregated and coordinated behind-the-meter loads can provide these fast reserves, but represent energy-constrained and uncertain reserves (in their energy state and capacity). To optimally dispatch uncertain, energy-constrained reserves, optimization-based techniques allow one to develop an appropriate trade-off between closed-loop performance and robustness of the dispatch. Therefore, this paper investigates the uncertainty associated with energy-constrained aggregations of flexible, behind-the-meter distributed energy resources (DERs). The uncertainty studied herein is associated with estimating the state of charge and the capacity of an aggregation of DERs (i.e., a virtual energy storage system or VESS). To that effect, a risk-based chance constrained control strategy is developed that optimizes the operational risk of unexpectedly saturating the VESS against deviating generators from their scheduled set-points. The controller coordinates energy-constrained VESSs to minimize unscheduled participation of and overcome ramprate limited generators for balancing variability from renewable generation, while taking into account grid conditions. To illustrate the effectiveness of the proposed method, simulation-based analysis is carried out on an augmented IEEE RTS-96 network with uncertain energy resources and temperature-based dynamic line ratings.

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Section: Uncertainty Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Corrective Dispatch of Uncertain Virtual Energy Storage Systems

Amini

Almassalkhi

2020

IEEE Trans. Smart Grid

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“…However, these sources are flexibility are not completely controllable. Therefore, to benefit the most from them and to ensure stability, these resource should be dispatched robustly [9].…”

Section: Integration Of Wave Power To Grid Incorporating Storagementioning

confidence: 99%

Untitled

2018

International Advanced Research Journal in Science, Engineering

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For the past few years, interest in wave energy is growing very fast. The ocean holds massive amount of clean and untouched energy, which can show an important role in supplying our energy demand. It is approximated that total energy from the coast of the United States is 252 million MWh/year. Oceans and sees around the world contain plentiful amount of energy that exceeds today's power generation needs. Wave Energy Converters (WEC) are devices to convert wave energy into electrical energy. One example of WEC technology is Oscillating Water Columns (OWCs). OWCs are devices with a semi-submerged chamber or hollow open to the sea below, keeping a trapped air pocket above a water column. Waves force the column to act like a piston, moving up and down, forcing the air out of the chamber and back into it. This continuous movement force a bidirectional stream of high-velocity air, which is channelled through a Power-TakeOff (PTO). The PTO system converts the airflow into energy. This paper discusses different types of wave energy converters and challenges regarding their integration to power grid.

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“…Therefore, this approach is very useful in problems where historical data about uncertain parameters are limited and there exists a considerable amount of uncertainty in parameters. 20 In Alizadeh et al, 21 an RO approach is proposed. The model presented by Alizadeh et al is linear, 21 which is very important in order to decrease the computational burden and run time.…”

Section: Introductionmentioning

confidence: 99%

A robust model for generation and transmission expansion planning with emission constraints

et al. 2020

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This paper presents the application of information gap decision theory (IGDT) to deal with uncertainties associated with load forecasting in dynamic, environment constrained, coordinated generation and transmission expansion planning. Traditionally, the gaseous emissions are constrained over the whole system. Conventional methods cannot guarantee a practical expansion plan since huge emissions can still occur on some buses in the power system. This paper introduces a per-bus emission limit to avoid extreme emissions in highly populated areas. The effect of nodal emission limits is fully discussed and compared to a conventional method. The model is kept linear using the big M approach to decrease the model computational burden. Reliability is considered by limiting the estimated load not served in each year over the planning horizon. The cost of fuel transportation and fuel limits are considered in order to make the model more realistic and practical. The effectiveness of the proposed model is verified by implementation on Garver 6 bus, IEEE 30 bus, and 118 bus test systems.

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Trading Off Robustness and Performance in Receding Horizon Control with Uncertain Energy Resources

Cited by 28 publications

References 20 publications

Optimal Corrective Dispatch of Uncertain Virtual Energy Storage Systems

Optimal Corrective Dispatch of Uncertain Virtual Energy Storage Systems

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A robust model for generation and transmission expansion planning with emission constraints

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