Contingency-Constrained Unit Commitment in Meshed Isolated Power Systems

Sokoler, Leo Emil; Vinter, Peter; Baerentsen, Runi; Edlund, Kristian; Jørgensen, John Bagterp

doi:10.1109/tpwrs.2015.2485781

Cited by 47 publications

(49 citation statements)

References 23 publications

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“…The RoCoF and q-s-s constraints, (7) and (9) respectively, are linear. However, the nadir constraint with the proposed damping term (19) is nonconvex.…”

Section: Linearisation Of the Frequency-nadir Constraintmentioning

confidence: 99%

Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment

Badesa

Teng

Štrbac

2019

IEEE Trans. Power Syst.

154

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The reduced level of system inertia in low-carbon power grids increases the need for alternative frequency services. However, simultaneously optimising the provision of these services in the scheduling process, subject to significant uncertainty, is a complex task given the challenge of linking the steady-state optimisation with frequency dynamics. This paper proposes a novel frequency-constrained Stochastic Unit Commitment (SUC) model which, for the first time, co-optimises energy production along with the provision of synchronised and synthetic inertia, Enhanced Frequency Response (EFR), Primary Frequency Response (PFR) and a dynamically-reduced largest power infeed. The contribution of load damping is modelled through a linear inner approximation. The effectiveness of the proposed model is demonstrated through several case studies for Great Britain's 2030 power system, which highlight the synergies and conflicts among alternative frequency services, as well as the significant economic savings and carbon reduction achieved by simultaneously optimising all these services.

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“…The RoCoF and q-s-s constraints, (7) and (9) respectively, are linear. However, the nadir constraint with the proposed damping term (19) is nonconvex.…”

Section: Linearisation Of the Frequency-nadir Constraintmentioning

confidence: 99%

Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment

Badesa

Teng

Štrbac

2019

IEEE Trans. Power Syst.

154

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“…Constraints (19) and (20) delimit the power output of each committed thermal unit by its ramping capabilities, while Constraints (21) and (22) bound the production levels of each unit, according to its maximum power output and its minimum loading. Fulfillment of reserves requirements is achieved through Constraints (23), (24) and (25), adopting the principle of reserves substitutability [37]. Finally, Constraint (26) ensures that the allocated reserves to each thermal unit do not exceed its capability per reserves type (primary, secondary, tertiary).…”

Section: Deterministic Milp-based Ucmentioning

confidence: 99%

“…Keeping that in mind, a further differentiation between the two UC variants is related to the limitations determining the participation of wind generation in the energy The hypothesis that the total amount of available spinning reserves can be released following a severe disturbance (e.g., tripping of a large generating unit) is obviously not valid. The dynamics of frequency regulation in power systems [44], related to the characteristics of prime movers and speed governors, are such that only a fraction of the available spinning reserves of generating units, hereinafter referred to as primary reserves, can be released right after the occurrence of a disturbance in the active power equilibrium of the system [4,24,[45][46][47]. Ignoring the transient response of the system in the first few seconds following the disturbance (grey area of Figure 4a,b), the amount of active power released by each unit, before any secondary control corrective action takes place via automated generation control, is directly related to unit's speed droop characteristic of Figure 4c, given by Equation (30).…”

Section: Essential Differences Between the Examined Uc Approachesmentioning

confidence: 99%

Comparative Assessment of Priority Listing and Mixed Integer Linear Programming Unit Commitment Methods for Non-Interconnected Island Systems

Psarros

Papathanassiou

2019

Energies

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The generation management concept for non-interconnected island (NII) systems is traditionally based on simple, semi-empirical operating rules dating back to the era before the massive deployment of renewable energy sources (RES), which do not achieve maximum RES penetration, optimal dispatch of thermal units and satisfaction of system security criteria. Nowadays, more advanced unit commitment (UC) and economic-dispatch (ED) approaches based on optimization techniques are gradually introduced to safeguard system operation against severe disturbances, to prioritize RES participation and to optimize dispatch of the thermal generation fleet. The main objective of this paper is to comparatively assess the traditionally applied priority listing (PL) UC method and a more sophisticated mixed integer linear programming (MILP) UC optimization approach, dedicated to NII power systems. Additionally, to facilitate the comparison of the UC approaches and quantify their impact on systems security, a first attempt is made to relate the primary reserves capability of each unit to the maximum acceptable frequency deviation at steady state conditions after a severe disturbance and the droop characteristic of the unit’s speed governor. The fundamental differences between the two approaches are presented and discussed, while daily and annual simulations are performed and the results obtained are further analyzed.

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“…This incorporation could ensure the nadir postcontingency frequency to be higher than the transient frequency limit. The typical nadir frequency varied from 48 Hz, determined by a transient stability security threshold [3,4], to 49.5 Hz [5][6][7], based on settings of underfrequency load-shedding relays.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

“…The average forecast error at hour h for WP is P WP AFE ,h and for PV is P PV AFE ,h . The mean and standard deviation of P AFE , h are estimated by (3)- (4) for each hour of the day, provided that forecast errors of wind, PV, and demand are uncorrelated.…”

Section: Economic Relationships Between the Confidence Levels Of The mentioning

confidence: 99%

Spinning reserve quantification considering confidence levels of forecast in systems with high wind and solar power penetration

Nguyen

Yabe

Ito

et al. 2019

IEEJ Transactions Elec Engng

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The increasing penetration of renewable energy sources, featured by intermittent outputs, emphasizes the investigation of the potential effects on frequency deviation in the normal operation and solving the associated problems. This paper proposes a method for assessing the impacts of forecast errors in wind and solar generation outputs on a unit commitment problem. An iterative process is used across different spinning reserve requirements until the hourly average and intrahour variation forecast errors in demand and renewable energy generation are fully compensated at the lowest cost. The process, containing time series simulations, is applied to various confidence levels of the forecasted renewable energy generation so that violations of the frequency limit will not occur in the normal operation. The effectiveness and applicability of the proposed method are well illustrated through a case study on the 2030 power system of the island of Hokkaido in Japan. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Contingency-Constrained Unit Commitment in Meshed Isolated Power Systems

Cited by 47 publications

References 23 publications

Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment

Simultaneous Scheduling of Multiple Frequency Services in Stochastic Unit Commitment

Comparative Assessment of Priority Listing and Mixed Integer Linear Programming Unit Commitment Methods for Non-Interconnected Island Systems

Spinning reserve quantification considering confidence levels of forecast in systems with high wind and solar power penetration

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