Optimal Bidding Zone Configuration: Investigation on Model-based Algorithms and their Application to the Italian Power System

Michi, L.; Ilea, Valentin; Caprabianca, Mauro; Nuzzo, Giuseppina; Colella, Pietro; Russo, Angela; Quaglia, Federico; Bompard, Ettore; Griffone, Andrea; Bovo, Cristian; Carlini, Enrico Maria; Luzi, Luca; Chicco, Gianfranco; Mazza, Andrea

doi:10.23919/aeit.2019.8893369

Cited by 5 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where X i, j are the ith and jth rows of the inverse of B N bus . Equation (11) represents the capability limits of the remaining generators following the outage of the kth generator. Equation (12) limits the branch power flows following the outage of the kth generator to the defined limits.…”

Section: Generator Outagementioning

confidence: 99%

“…Starting from the results of the OPF, the electric grid indicators related to optimal electricity market clearing can be calculated and employed by clustering algorithms to propose alternative bidding zones configurations. Taking into account [10,11], two different indicators are considered: the locational marginal prices (LMPs) and the power transfer distribution factors (PTDFs).…”

Section: Calculation Of Network Indicatorsmentioning

confidence: 99%

“…Work reported in [10][11][12][13] performs a critical literature review regarding the modelbased indicators, the mathematical models used to determine them and the clustering algorithms used to determine the zonal structure of transmission networks for electricity markets. A few important conclusions can be derived.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Computation of Network Indicators for Electricity Market Bidding Zones Configuration Considering Explicit N-1 Security Constraints

et al. 2021

Self Cite

View full text Add to dashboard Cite

In this paper an optimization problem designed to calculate electric grid specific indicators to be used within model-based methodologies for the definition of alternative electricity market bidding zone configurations is designed. The approach integrates within the framework of a bidding zone review process aligned to the specifications of the Commission Regulation (EU) 2015/1222 (CACM) and Regulation (EU) 2019/943 of the European Parliament and of the Council (CEP). The calculated solution of the optimization provides locational marginal prices and allows to determine, outside the optimization problem, the power transfer distribution factors for critical elements. Both indicators can be used as inputs by specially designed clustering algorithms to identify model-based electricity market bidding zone configurations, as alternative to the current experience-based configurations. The novelty of the optimization problem studied in this paper consists in integrating the N-1 security criteria for transmission network operation in an explicit manner, rather than in a simplified and inaccurate manner, as encountered in the literature. The optimization problem is evaluated on a set of historical and significant operating scenarios of the Italian transmission network, carefully selected by the Italian transmission system operator. The results show the optimization problem capability to produce insightful results for supporting a bidding zone review process and its advantages with respect to simplified methodologies encountered in the literature.

show abstract

Section: Generator Outagementioning

confidence: 99%

Section: Calculation Of Network Indicatorsmentioning

confidence: 99%