Multi-timescale optimization scheduling of regional integrated energy system based on source-load joint forecasting

Energy, Journal Year: 2023, Volume and Issue: 283, P. 129186 - 129186

Published: Sept. 24, 2023

Language: Английский

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Cooperative economic dispatch of EV-HV coupled electric-hydrogen integrated energy system considering V2G response and carbon trading

Renewable Energy, Journal Year: 2024, Volume and Issue: 227, P. 120488 - 120488

Published: April 15, 2024

Language: Английский

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Optimizing Microgrid Operation: Integration of Emerging Technologies and Artificial Intelligence for Energy Efficiency

Electronics, Journal Year: 2024, Volume and Issue: 13(18), P. 3754 - 3754

Published: Sept. 21, 2024

Microgrids have emerged as a key element in the transition towards sustainable and resilient energy systems by integrating renewable sources enabling decentralized management. This systematic review, conducted using PRISMA methodology, analyzed 74 peer-reviewed articles from total of 4205 studies published between 2014 2024. review examines critical areas such reinforcement learning, multi-agent systems, predictive modeling, storage, optimization algorithms—essential for improving microgrid efficiency reliability. Emerging technologies like artificial intelligence (AI), Internet Things, flexible power electronics are highlighted enhancing management operational performance. However, challenges persist AI into complex, real-time control managing distributed resources. also identifies research opportunities to enhance scalability, resilience, efficiency, reaffirming their vital role solutions.

Language: Английский

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A Novel MOWSO algorithm for Microgrid multi-objective optimal dispatch

Electric Power Systems Research, Journal Year: 2024, Volume and Issue: 232, P. 110374 - 110374

Published: April 8, 2024

Language: Английский

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A decentralized dispatch model for multiple micro energy grids system considering renewable energy uncertainties and energy interactions

Journal of Renewable and Sustainable Energy, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Micro energy grids (MEGs) play a vital role in realizing carbon neutrality and efficient utilization of renewable resources. This research focuses on optimizing the synergy MEG interconnections. Given diverse development paths different operating entities within system, information barriers emerge among MEGs, creating great difficulties for collaborative system management. In response, this paper proposes decentralized coordinated dispatch model targeting multiple stakeholders system. accounts interactions between MEGs inherent uncertainty associated with sources. Specifically, stochastic optimization approach was applied to characterize output by generating scenarios. Furthermore, it incorporates analytical target cascading (ATC) method decouple objective functions constraints, autonomous scheduling sub-models individual MEGs. ensures independent modeling problem-solving. Simulations verify that (1) ATC-based inter-MEG interaction strategy effectively achieves (2) solution closely approximates global optimum while considering interest various entities.

Language: Английский

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Day-Ahead Scheduling of Multi-Energy Microgrids Based on a Stochastic Multi-Objective Optimization Model

Energies, Journal Year: 2023, Volume and Issue: 16(4), P. 1802 - 1802

Published: Feb. 11, 2023

Dealing with multi-objective problems has several interesting benefits, one of which is that it supplies the decision-maker complete information regarding Pareto front, as well a clear overview various trade-offs are involved in problem. The selection such representative set is, and itself, problem must take into consideration number choices to show uniformity representation and/or coverage order ensure quality solution. In this study, day-ahead scheduling been transformed optimization due inclusion objectives, operating cost multi-energy multi-microgrids (MMGs) profit Distribution Company (DISCO). purpose proposed system determine best operation combined heat power (CHP) unit, gas boiler, energy storage, demand response program, transaction electricity natural (NG). Electricity traded by MGs DISCO at prices dynamic fixed, respectively. Through scenario generation probability density functions, uncertainties wind speed, solar irradiation, electrical, demands have considered. By using mixed-integer linear programming (MILP) for reduction, high generated scenarios significantly reduced. ɛ-constraint approach was used solved nonlinear (MINLP) obtain solution meets needs both these objective functions.

Language: Английский

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Optimization of micro grid with distributed energy resources using physics based meta heuristic techniques

IET Renewable Power Generation, Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 19, 2023

Abstract Recently, modern power systems depend heavily on MicroGrids (MGs), which can accommodate Distributed Energy Resources (DERs) economically and with high flexibility. MGs integrated DERs assist in enhancing energy security, significant cost savings, reduction emission of greenhouse gases. In this paper, the assessment operating performance proposed MG system is employed to investigate multi‐objective problems optimization economic scheduling. A grid‐connected Micro‐grid (MG) combined solar photovoltaic (PV), wind turbine (WT), fuel cell (FC), Battery Storage System (BESS) implemented model problem. This considered as a test for battery charging/discharging optimization. The developed framework presented function constraints that be tackled using an effective technique. above stochastic problem optimized various commonly used Physics based Meta‐heuristic techniques such Simulated Annealing (SA), Harmony Search (HS), Slime Mold Algorithm (SMA), Gravitational (GSA), Black Hole Optimization (BHO), Sine Cosine (SCA), Multiverse (MVO) Lightning (LSA). aforementioned physics‐based compared results. According analysis, (BHO) (LSA) both provide greater savings overall charging, respectively. suggested methods will take BESS pattern total into account.

Language: Английский

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Robust optimization of seasonal, day-ahead and real time operation of aggregated energy systems

International Journal of Electrical Power & Energy Systems, Journal Year: 2023, Volume and Issue: 152, P. 109190 - 109190

Published: May 30, 2023

This work proposes an approach for the robust operational optimization of Aggregated Energy Systems (AES) on three key time scales: seasonal, day-ahead and real-time hourly operation. The evaluation all time-scales is fundamental AESs featuring seasonal storage systems and/or units (such as combined heat power plants) with yearly-basis constraints relevant performance indexes or emissions. consists in a rolling horizon algorithm based Affine Adjustable Robust Optimization model optimizing both day ahead schedule (commitment economic dispatch) decision rules to adjust takes input (i) forecasts renewable production energy demands their corresponding uncertainty, (ii) past future expected yearly constraints, (iii) target end-of-the-day charge levels system. These long-term targets are estimated by operation over representative years defined basis measured data. proposed methodology tested real-world case studies, up four short-term uncertain parameters (energy non-dispatchable generation), storage. Results shows that meets safely manages without shortages, while always meeting (no shedding). In addition, cost short- uncertainty were evaluated comparing results other two deterministic approaches, proving limited increase.

Language: Английский

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A systematic decision-making approach to optimizing microgrid energy sources in rural areas through diesel generator operation and techno-economic analysis: A case study of Baron Technopark in Indonesia

International Journal of Renewable Energy Development, Journal Year: 2024, Volume and Issue: 13(2), P. 315 - 328

Published: Feb. 22, 2024

Microgrid systems are part of the most reliable energy supply technologies for rural communities that do not have access to electricity but system is generally dominated by diesel generators (DG). The implementation de-dieselization programs ensure efficient operations requires addressing several scenarios such as replacement completely with 100% renewable sources at a significant cost. design and selection appropriate configuration, well operating patterns, need be considered in adopting economical microgrid systems. Therefore, this study aimed an optimal configuration operational pattern frontier, outermost, least developed (3T) regions using Baron Techno Park (BTP) Indonesia case study. optimization was conducted through HOMER software combined benefit-cost analysis focus on daily load variations, control algorithms, reconfiguration power system, setting generator hours. results showed optimum achieved loads resort, 24 kWp PV, 288 kWh BESS, load-following (LF) dispatch controller, 25 kVa DG. Moreover, proposed produced 12% excess energy, 36% fraction (RF), 13.25 tons reduction CO2 emissions per year, $0.28 LCOE kWh, $250,478 NPC, ratio (BCR) 0.89. It also had potential efficiency savings 55.56% cost 20.95% compared existing configurations. In conclusion, addition DG 3T areas more than only PV batteries. An effective schedule necessary improve RF reduce expenses. Furthermore, other storage devices less expensive batteries could introduced economics region.

Language: Английский

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Data-driven robust optimization scheduling for microgrid day-ahead to intra-day operations based on renewable energy interval prediction

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134058 - 134058

Published: Dec. 1, 2024

Language: Английский

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