Coordinating Capacity Calculation via Electricity Market Coupling: Insights from the H2020 CROSSBOW Project

Abstract

CROSS BOrder management of variable renewable energies and storage units enabling a transnational Wholesale market (CROSSBOW) is an EC-funded project, whose aim is to facilitate the shared use of energy resources by fostering cross-border management of variable renewable energies and storage units, enabling higher penetration of renewable energy sources (RES) whilst reducing network operational costs and improving economic benefits of clean energies and storage units. Towards these goals, CROSSBOW boosts regional cooperation among the system operators in Southeastern Europe (SEE), by deploying nine different tools to support the security coordination center (SCC) of the region. More specifically, the main CROSSBOW product, namely CROSSBOW Regional Operation Centre (CROSSBOW ROC) has proposed and demonstrated a set of functionalities for regional management and operation that enhance the existing regional structures, extending the capabilities of the already established Regional Security Coordinator (RSC) initiatives. Beyond enhancing RSC mandatory functions (including adequacy forecasts, coordinated security analysis, capacity calculations, and outage planning coordination), the ROC-BC product has developed new functions, linking the security considerations of involved TSOs with the operation of the fast-developing and harmonized electricity markets. In this paper, we investigate approaches for coordinated capacity calculation and cross-border trading via market coupling, developed within the ROC-BC product of CROSSBOW. Moreover, we present the final demonstration results as a part of ROC fundamental functionalities. Specifically, both net transfer capacity (NTC) and flow-based (FB) methods are examined and compared within a case study applying to the SEE region. The presented results demonstrate that the FB method exhibits better performance in all examined scenarios, considering three different key performance indicators (KPIs).

Scalability and replicability analysis of smart grid projects: Insights from the H2020 CROSSBOW project

“…enabling flexible generation, and demand response schemas; 4) the definition of a transnational wholesale market, proposing fair and sustainable remuneration for clean energies through the definition of new business models supporting the participation of new players, i.e., aggregators, and the reduction of costs (Andriopoulos et al, 2022;CROSSBOW, 2017a;Crossbow, 2017b). Towards this end, CROSSBOW proposed, realized, and tested nine complete solutions-products, while a completed scalability and replicability analysis (SRA) was conducted for these nine products.…”

“…According to the BRIDGE initiative-coordinating energy research and innovation projects across the EU-the steps to conduct an SRA of a Smart Grid Architecture Model (SGAM) project can be separated into four stages, with each of them involving several steps (Andriopoulos et al, 2022;Gottschalk et al, 2017;Crossbow, 2017b). The most complex stages correspond to the definition of the SRA methodology and to actually carrying out the SRA.…”