Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| topics:flexibility_markets [2026/03/19 14:16] – removed - external edit (Unknown date) 127.0.0.1 | topics:flexibility_markets [2026/04/13 10:15] (current) – o.sachs | ||
|---|---|---|---|
| Line 1: | Line 1: | ||
| + | <WRAP catbadge blue> | ||
| + | </ | ||
| + | |||
| + | ====== Flexibility markets ====== | ||
| + | |||
| + | <WRAP meta> | ||
| + | lead-authors: | ||
| + | contributors: | ||
| + | reviewers: [Names] | ||
| + | version: 0.7 | ||
| + | updated: 25 March 2026 | ||
| + | sensitivity: | ||
| + | status: draft | ||
| + | ai-use: Claude Sonnet 4.6 (Anthropic) was used for editorial revision, reference verification, | ||
| + | </ | ||
| + | |||
| + | <WRAP intro> | ||
| + | Flexibility markets are institutional mechanisms through which the flexibility potential of distributed energy resources (generation, | ||
| + | </ | ||
| + | |||
| + | |||
| + | ===== Why this matters ===== | ||
| + | |||
| + | To make net-zero technically and economically feasible, the future power system will need to capture flexibility from various resources across various segments — generation, transmission, | ||
| + | |||
| + | <WRAP callout> | ||
| + | Current grids can evolve to include customers as a dynamic segment of the grid instead of a static end load. Grid operation in the future can leverage flexible resources connected to distribution grids as an additional product available to system operators in the transition to net zero. | ||
| + | </ | ||
| + | |||
| + | ===== Shared definitions ===== | ||
| + | |||
| + | Flexibility, | ||
| + | |||
| + | ==== A taxonomy to quantify flexibility potential ==== | ||
| + | |||
| + | As flexibility potential varies spatially and temporally, having a simplified methodology is critical to understanding the flexibility potential within different segments of the electric grid. ISGAN Annex 9 proposes four layers to assess the feasible flexibility potential of a resource: | ||
| + | |||
| + | **Technology or Process** represents the maximum amount of flexibility available as the full technical capability of the resource, with no considerations beyond the physical capabilities. This layer assesses the resource' | ||
| + | |||
| + | **Communication and Controls** assesses the impact that control and communication systems have on the resource' | ||
| + | |||
| + | **Location** assesses the impact of geographic location on flexibility potential, including aspects of the interconnection (distribution or transmission connected, impact study outcomes), locational marginal price of providing a service, and climate conditions. Diversity of resources allows for different solutions to be available to support the grid in case some resources are unavailable to participate in flexibility events. | ||
| + | |||
| + | **Customer Preferences and Market Economics** considers customers' | ||
| + | |||
| + | <WRAP figure> | ||
| + | {{figure_1: | ||
| + | |||
| + | **Figure 1.** Taxonomy proposed to quantify flexibility potential.\\ | ||
| + | //Source: Wadhera et al. (2023), ISGAN Working Group 9.((Wadhera, | ||
| + | </ | ||
| + | |||
| + | A detailed list of flexibility indicators is summarised in Table 1. These indicators can more concretely quantify and characterise flexibility potential. The list includes quantitative and qualitative indicators with inter-dependencies — not all indicators are necessary to compute the flexibility potential. | ||
| + | |||
| + | <WRAP tablecap> | ||
| + | **Table 1.** Flexibility indicator examples within each taxonomy layer.\\ | ||
| + | //Source: Wadhera et al. (2023), compiled from literature and ISGAN Annex 9 expert input.((Wadhera, | ||
| + | </ | ||
| + | |||
| + | ^ Taxonomy layer ^ Flexibility indicators ^ | ||
| + | | **Technology or Process** | Controllability · Energy capacity · Energy loss per time · Ramp rate · Reactive power capacity · Real power capacity · Rebound · Time necessary to achieve maximum response · Type of flexible resource | | ||
| + | | **Communication and Controls** | Controller time lag · Coordination scheme · Data necessary to estimate flexibility · Interoperability standards · Response granularity · Time delay to observe response on network · Visibility of production/ | ||
| + | | **Location** | Connection to grid · Cost to retrofit to provision flexibility · Implementation requirements · Regulatory framework | | ||
| + | | **Customer Preferences and Market Economics** | Access to markets · Cost to operate for flexibility services · Credibility · Customer behaviour · Frequency resource can be provisioned · Maximum response duration · Minimum time required to switch between states · Participation models in markets · Predictability · Resource consumption/ | ||
| + | |||
| + | ===== Perspectives ===== | ||
| + | |||
| + | <WRAP perspectives> | ||
| + | ==== Actors and stakeholders ==== | ||
| + | |||
| + | ==== Technologies and infrastructure ==== | ||
| + | |||
| + | ==== Institutional structures ==== | ||
| + | |||
| + | There is significant opportunity in designing markets to influence customer preferences. Leveraging a common framework such as the proposed taxonomy would help streamline how flexibility potential is calculated across a diverse set of resources. Infrastructure, | ||
| + | |||
| + | </ | ||
| + | |||
| + | ===== Distinctions and overlaps ===== | ||
| + | |||
| + | ===== Related topics ===== | ||
| + | |||
| + | [[topics: | ||
| + | |||
| + | ===== Topic notes ===== | ||
| + | |||
| + | **Content notes:** | ||
| + | * This page draws primarily on ISGAN WG9 (Wadhera et al., 2023). Content has been reformatted for the wiki template with minimal changes to substance. | ||
| + | * The topic scope as currently structured focuses on quantifying flexibility potential. A broader treatment of flexibility markets, market design, procurement mechanisms, pricing, needs to be developed separately or integrated here. See [[topics: | ||
| + | * Figure 1 is currently 612×229px (16KB) — low resolution. Needs higher-resolution version. | ||
| + | * Table 1 indicator references from the original paper: indicators are drawn from Ma et al. (2013), Degefa et al. (2021), Ma et al. (2013 demand response), NERC (2017), Junker et al. (2018), Oldewurtel et al. (2013), Pratt & Taylor (Pacific Northwest National Laboratory), | ||