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 …
interactions, and smart energy management, are critical to transit towards carbon-neutral …
Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach
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 …
prediction is crucial to the arrangement of power grid dispatching plans due to the volatility …
A survey on the development status and application prospects of knowledge graph in smart grids
With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …
interconnection of power data have received extensive attention. Knowledge graph …
Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand …
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 …
and smart city in geographical and functional terms. Its emergence provides a new solution …
Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game
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 …
small-scale distributed energy sources can easily trade with existing distribution markets. To …
[PDF][PDF] Al-Biruni Earth Radius (BER) Metaheuristic Search Optimization Algorithm.
Metaheuristic optimization algorithms present an effective method for solving several
optimization problems from various types of applications and fields. Several metaheuristics …
optimization problems from various types of applications and fields. Several metaheuristics …
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 …
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 …
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 …
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
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 …
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 swap** station in multi-stakeholder scenarios: A bi-level programming approach via real …
In order to coordinate the scheduling problem between an isolated microgrid (IMG) and
electric vehicle battery swap** stations (BSSs) in multi-stakeholder scenarios, a new bi …
electric vehicle battery swap** stations (BSSs) in multi-stakeholder scenarios, a new bi …