Results 231 to 240 of about 172,567 (366)

Advanced AI approaches for the modeling and optimization of microgrid energy systems. [PDF]

open access: yesSci Rep
Hoummadi MA   +5 more
europepmc   +1 more source

Optimising PID Controllers for Multi‐Area Automatic Generation Control With Improved NSGA‐II

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Modern automated generation control (AGC) is increasingly complex, requiring precise frequency control for stability and operational accuracy. Traditional PID controller optimisation methods often struggle to handle nonlinearities and meet robustness requirements across diverse operational scenarios.
Yang Yang   +3 more
wiley   +1 more source

Bidirectional carbon emission flow analysis for the high‐penetration renewable energy systems with distributed energy resources

open access: yesEnergy Conversion and Economics, EarlyView.
Abstract High‐penetration renewable energy systems (HPRES) are characterized by the extensive deployment of distributed energy resources (DERs), such as the grid‐side independent storage, consumer‐side distributed storage, and the combination of consumer‐side distributed storage with distributed photovoltaics and wind turbines.
Hanbing Zhang   +6 more
wiley   +1 more source

Optimal power purchase decision‐making for receiving‐end power system considering uncertainties in two‐level inter‐provincial and intra‐provincial electricity markets

open access: yesEnergy Conversion and Economics, EarlyView.
Abstract In this paper, an optimal power procurement decision‐making model for the receiving‐end power system considering uncertainties in two‐level inter‐provincial and intra‐provincial markets is proposed. The model aims to achieve secure and economically efficient system dispatch under market coordination, ensuring rational resource utilization and ...
Kaile Zeng   +6 more
wiley   +1 more source

Hydrogen in transport: a review of opportunities, challenges, and sustainability concerns. [PDF]

open access: yesRSC Adv
Alreshidi MA   +15 more
europepmc   +1 more source

Expansion Configuration Optimisation for CCHP‐MES Considering Tracking Ability Improvement Based on Scheduling Degree of Freedom

open access: yesIET Smart Energy Systems, EarlyView.
This paper proposes an innovative expansion configuration optimisation method for CCHP‐MES considering tracking ability improvement based on scheduling degree of freedom. Simulation results demonstrate that the proposed method can effectively enhance system tracking performance with minimal economic costs while improving renewable energy penetration in
Yuxuan Li, Junli Zhang, Jiong Shen
wiley   +1 more source

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