Results 61 to 70 of about 16,784 (247)

A System Complexity Approach to Swarm Electrification [PDF]

open access: yes, 2015
The study investigates a bottom-up concept for microgrids. Financial analysis is performed through a business model approach to test for viability when replacing a researched energy expenditure baseline in Bangladesh.
Groh, S., Koepke, M.
core  

Governing Positive Energy Districts: The Role of Legitimation and Identity Across Residential and Industrial Contexts

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT Increasing electricity demand from data centres, industrial applications, electric vehicles and domestic heating is creating pressure to develop electricity systems in many parts of the world, but especially in Western countries. In response to challenges such as grid congestion, interconnection queues and climate‐related hazards, network ...
Jussi Valta   +3 more
wiley   +1 more source

Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning

open access: yesZhongguo dianli
With the large-scale integration of distributed generation into microgrids, the volatility of renewable energy generation and system random disturbances pose significant threats to the frequency stability and operational control of islanded microgrids ...
Li WANG   +4 more
doaj   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

open access: yesEnergy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga   +6 more
wiley   +1 more source

Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co-Generation [PDF]

open access: yes, 2013
Microgrids represent an emerging paradigm of future electric power systems that can utilize both distributed and centralized generations. Two recent trends in microgrids are the integration of local renewable energy sources (such as wind farms) and the ...
Chau, Chi-Kin   +4 more
core  

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

open access: yesEnergy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk   +4 more
wiley   +1 more source

Multiobjective Optimization Configuration of a Prosumer’s Energy Storage System Based on an Improved Fast Nondominated Sorting Genetic Algorithm

open access: yesIEEE Access, 2021
With the deepening of the “source-load-storage” interaction and the development of demand response technology, the emergence of prosumers has led to new vitality and potential for the optimal operation of microgrids.
Fei Li   +4 more
doaj   +1 more source

The Comparison Study of Short-Term Prediction Methods to Enhance the Model Predictive Controller Applied to Microgrid Energy Management [PDF]

open access: yes, 2017
Electricity load forecasting, optimal power system operation and energy management play key roles that can bring significant operational advantages to microgrids.
Da Costa Mendes, Paulo Renato   +5 more
core   +4 more sources

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

open access: yesEnergy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian   +7 more
wiley   +1 more source

AI‐Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries

open access: yesEnergy Science &Engineering, EarlyView.
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan   +5 more
wiley   +1 more source

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