מושגי ליבה
Efficient computation of Minkowski sums for energy storage flexibility using vertex-based approximations.
תקציר
The article discusses the computation of Minkowski sums for energy storage flexibility using vertex-based approximations. It introduces a method that efficiently computes vertices for polytopes, outperforming existing inner approximations in terms of accuracy and computational complexity. The proposed approach also includes an efficient disaggregation method for distributing power profiles to individual devices.
- Real-world applications require joint optimization of flexible devices.
- Approximations for Minkowski sums are often objective-dependent.
- Proposed method efficiently computes vertices for polytopes.
- Outperforms existing inner approximations in accuracy and complexity.
- Efficient disaggregation method for distributing power profiles.
סטטיסטיקה
최적화된 방법으로 다수의 유연한 장치를 조합
Minkowski 합의 근사치는 종종 목적에 따라 다름
제안된 방법은 다각형의 정점을 효율적으로 계산
기존의 내부 근사치보다 정확도와 복잡성 면에서 우월함
ציטוטים
"Our approach outperforms ten state-of-the-art inner approximations in terms of computational complexity and accuracy for different objectives."
"The proposed methods provide an efficient means to aggregate and to disaggregate energy storages in quarter-hourly periods over an entire day with reasonable accuracy for aggregated cost and for peak power optimization."