Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities

H Teichgraeber, AR Brandt - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The rising significance of renewable energy increases the importance of representing time-
varying input data in energy system optimization studies. Time-series aggregation, which …

Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization

S Cho, C Li, IE Grossmann - Computers & Chemical Engineering, 2022 - Elsevier
Optimization models for expansion planning of power systems aim to determine capacities,
investment timing, and location of power systems to satisfy the power demands while …

Bi-level adaptive storage expansion strategy for microgrids using deep reinforcement learning

B Huang, T Zhao, M Yue, J Wang - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
Battery energy storage (BES) is a versatile resource for the secure and economic operation
of microgrids (MGs). Prevailing stochastic optimization-based approaches for BES …

[PDF][PDF] 电力电量平衡视角下新型电力系统极端场景研究及应对综述

郭红霞, 陈凌轩, 张启, 黄河, 马骞, 王建学 - 电网技术, 2024 - epjournal.csee.org.cn
全球气候变化加剧背景下极端天气事件频发, 受能源转型政策, 地缘政治影响一次能源供应与
负荷水平均呈现强不确定性. 中国正处于可再生能源占比不断提升的新型电力系统建设阶段 …

[HTML][HTML] Optimal design of aggregated energy systems with (N-1) reliability: MILP models and decomposition algorithms

AF Castelli, L Pilotti, A Monchieri, E Martelli - Applied Energy, 2024 - Elsevier
This work investigates the design optimization of aggregated energy systems (multi-energy
systems, microgrids, energy districts, etc.) with (N-1)-reliability requirements. The problem is …

Disjunctive optimization model and algorithm for long-term capacity expansion planning of reliable power generation systems

S Cho, J Tovar-Facio, IE Grossmann - Computers & Chemical Engineering, 2023 - Elsevier
This paper proposes a new optimization model and algorithm for long-term capacity
expansion planning of reliable power generation systems. The model optimizes both …

Voltage stability-constrained robust transmission expansion planning using binary discretization technique

MA El-Meligy, M Sharaf, KA Alnowibet - Electric Power Systems Research, 2024 - Elsevier
Due to a persistent increase in electricity demand and the growing integration of renewable
energy sources (RESs), power systems are now operating with narrower stability margins …

Improvements for decomposition based methods utilized in the development of multi-scale energy systems

RC Allen, F Iseri, CD Demirhan, I Pappas… - Computers & Chemical …, 2023 - Elsevier
The optimal design of large-scale energy systems can be found by posing the problem as an
integrated multi-period planning and scheduling mathematical programming problem. Due …

[HTML][HTML] Reducing climate risk in energy system planning: a posteriori time series aggregation for models with storage

AP Hilbers, DJ Brayshaw, A Gandy - Applied Energy, 2023 - Elsevier
The growth in variable renewables such as solar and wind is increasing the impact of
climate uncertainty in energy system planning. Addressing this ideally requires high …

Active distribution network expansion planning with dynamic thermal rating of underground cables and transformers

Y Li, Q Chen, G Strbac, K Hur… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of renewable distributed generation in active distribution networks
(ADNs) imposes an increasing burden on the transfer capability of the ADNs, bringing new …