Determination of the Time-Dependent Flexibility of Active Distribution Networks to Control Their TSO-DSO Interconnection Power Flow

González, Daniel; Hachenberger, Jan; Hinker, Jonas; Rewald, Florian; Häger, Ulf; Rehtanz, Christian; Myrzik, J.M.A.

doi:10.23919/pscc.2018.8442865

Cited by 39 publications

(19 citation statements)

References 30 publications

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“…The Rademacher PDF behaves similarly to the beta PDF, as both allow increasing the size of the FOR, while the normal and uniform PDF would clearly underestimate it. Although slight differences can be observed between the Rademacher and beta PDF, both approaches do help improving the quality of the RS method, proving to be valid solutions to the concerns raised in [15], and supports the reasoning behind [5] and [7]. This demonstration is valid only for rectangular FPU limits, for which a comparison to an OPF method was already provided in [23].…”

Section: Random Sample Approach To Compute An Forsupporting

confidence: 61%

“…no violations of constraints, considering active and reactive power response [2–4]. The concept can be used in daily grid operation, aiming to reduce the required amount of information exchanged among grid operators [5, 6].…”

Section: Introductionmentioning

confidence: 99%

“…Capability charts of ADN were labelled as the feasible operating region (FOR) in [5]. The FOR describes all feasible interconnection power flows (IPF) of an ADN, showing the achievable imported/exported power when FPU changes their operation point within their technical limitations.…”

Section: Introductionmentioning

confidence: 99%

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Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods

Contreras

Rudion

2021

IET Generation Trans & Dist

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The feasible operating region (FOR) indicates the operation points that an active distribution network can achieve at the interconnection point with the transmission grid when operating flexible assets within it; without disturbing the stability of the grid itself. Even though the concept is not new, many novel methods to compute the FOR efficiently have been proposed in recent years, resulting in two main schools of thought: random sampling (RS) and optimal power flow (OPF) methods. Both approaches have their merits, yet no wide‐ranging analysis regarding scenarios in which each method could be best applied has been done so far. This paper focuses on performing such a comparison; however, capability charts of flexibility providing units and grids are usually modelled as irregular convex polygons, requiring some adaptation of the RS‐methods to allow for a proper comparison of the resulting feasible operating region. Correspondingly, new methods to adapt the extraction of random samples from generic capability charts are proposed in the paper. Using models of two radial distribution grids, both OPF‐ and RS‐based methods are compared and validated. Results show that RS methods are adequate for assessing small grids, especially with the proposed improvements, while OPF‐based methods excel in larger grids.

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Section: Random Sample Approach To Compute An Forsupporting

confidence: 61%

Section: Introductionmentioning

confidence: 99%

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Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods

Contreras

Rudion

2021

IET Generation Trans & Dist

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“…Therefore, it is essential to investigate multiple options for improving situational awareness to ensure the interoperability of DERs by maintaining a proper level of interaction and communication. For instance, Mayorga Gonzalez et al (2018) propose an approach to determine feasible interconnection power flows, and identify influencing factors that have a significant impact on the feasible operating region. Similarly, Silva et al (2018) introduce an interval constrained power flow model that provides a set of DER flexibility maps.…”

Section: Improved Situational Awarenessmentioning

confidence: 99%

Research Priorities and Opportunities in United States Wholesale Electricity Markets

Sun

Levin

Kwon

et al. 2021

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The power system is currently undergoing a number of changes, including a rapidly evolving resource mix, growth of distributed energy resources (DERs), more active consumer participation, increased deployment of energy storage and hybrid resources, and more advanced communication and control requirements. These changes in the power system present numerous technical, economic, implementation, and policy challenges and research opportunities for power system operators. To help address these challenges, a collaboration among five research institutions-Argonne National Laboratory,

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“…Additional contributions develop coordination strategies, e.g. assigning access rights for flexible assets [21], [25], [26] between system operators, or investigate how to incentivize market participants to offer flexibility [27], [28]. Other works investigate which sources are best suited to provide flexibility [29], [30] and optimize flexibility ranges of plants in the grid, or propose ways for cooperation between TSOs and DSOs [22], [31], [32].…”

Section: Intervals Of Critically High Utilization Are Shown As Light Red Bands Sections Ofmentioning

confidence: 99%

The contribution of distributed flexibility potentials to corrective transmission system operation for strongly renewable energy systems

et al. 2020

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Corrective operation of electrical transmission systems requires flexibility degrees of freedom to be reliably available when the system is in a critical state. In this study, we develop a method to quantify flexibility potentials from distributed and sector-coupling energy resources. We develop key performance indicators (KPIs) that correlate these potentials with the occurrence of critical transmission corridor loadings and, by that, quantify how often flexibility degrees of freedom are available when they are required.The method is tested on the example of Germany embedded in a central European energy system in the year 2030. In the considered strongly renewable scenario (208GW installed renewable capacity) the supply often exceeds the demand. This leads to large-scale curtailments that can be used as a source for flexibility, particularly flexibility to re-increase generation. We find that, in total, curtailed onshore wind parks in the 110kV-systems would have the potential to increase their feed-in power by 5GW (upward flexibility) in the 10% most critical transmission scenarios. Central power-to-heat (P2H) plants can provide their total power of 16.1GW upward flexibility potential in these scenarios.Analyzing each transmission corridor separately, we find that corrective setpoint adjustments from the same technology combination, wind and P2H, can completely compensate a sudden loss of 2GW transmission capacity for up to 40% of critical timesteps on the transmission corridors within the given model. These findings indicate that flexibility from sector-coupling elements and decentral energy resources are a relevant resource and can be applied for corrective actions in transmission system operations.

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Determination of the Time-Dependent Flexibility of Active Distribution Networks to Control Their TSO-DSO Interconnection Power Flow

Cited by 39 publications

References 30 publications

Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods

Computing the feasible operating region of active distribution networks: Comparison and validation of random sampling and optimal power flow based methods

Research Priorities and Opportunities in United States Wholesale Electricity Markets

The contribution of distributed flexibility potentials to corrective transmission system operation for strongly renewable energy systems

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