Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation

Y Zhou - Renewable Energy, 2023 - Elsevier
Cleaner power production, electrochemical battery storages, multi-agent energy
interactions, and smart energy management, are critical to transit towards carbon-neutral …

A survey on the development status and application prospects of knowledge graph in smart grids

J Wang, X Wang, C Ma, L Kou - IET Generation, Transmission …, 2021 - Wiley Online Library
With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …

Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach

Y Li, R Wang, Y Li, M Zhang, C Long - Applied Energy, 2023 - Elsevier
In a modern power system with an increasing proportion of renewable energy, wind power
prediction is crucial to the arrangement of power grid dispatching plans due to the volatility …

Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand …

Y Li, M Han, M Shahidehpour, J Li, C Long - Applied Energy, 2023 - Elsevier
A community integrated energy system (CIES) is an important carrier of the energy internet
and smart city in geographical and functional terms. Its emergence provides a new solution …

[PDF][PDF] Al-Biruni Earth Radius (BER) Metaheuristic Search Optimization Algorithm.

ESM El-Kenawy, AA Abdelhamid, A Ibrahim… - Comput. Syst. Sci …, 2023 - researchgate.net
Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …

Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game

Y Li, B Wang, Z Yang, J Li, C Chen - Applied Energy, 2022 - Elsevier
An operating entity utilizing community-integrated energy systems with a large number of
small-scale distributed energy sources can easily trade with existing distribution markets. To …

Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach

Y Li, K Li, Z Yang, Y Yu, R Xu, M Yang - Journal of Cleaner Production, 2022 - Elsevier
In the context of transition towards cleaner and sustainable energy production, microgrids
have become an effective way for tackling environmental pollution and energy crisis issues …

Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning …

Y Li, F Bu, Y Li, C Long - Applied Energy, 2023 - Elsevier
Multi-uncertainties from power sources and loads have brought significant challenges to the
stable demand supply of various resources at islands. To address these challenges, a …

Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

Y Li, C Wang, G Li, J Wang, D Zhao, C Chen - Energy Conversion and …, 2020 - Elsevier
Insufficient flexibility in system operation caused by traditional “heat-set” operating modes of
combined heat and power (CHP) units in winter heating periods is a key issue that limits …

Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real …

Y Li, Z Yang, G Li, Y Mu, D Zhao, C Chen, B Shen - Applied energy, 2018 - Elsevier
In order to coordinate the scheduling problem between an isolated microgrid (IMG) and
electric vehicle battery swapping stations (BSSs) in multi-stakeholder scenarios, a new bi …