Data-driven two-stage robust optimization dispatching model and benefit allocation strategy for a novel virtual power plant considering carbon-green certificate equivalence conversion mechanism

Applied Energy, Год журнала: 2024, Номер 362, С. 122974 - 122974

Опубликована: Март 16, 2024

Язык: Английский

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A low-carbon economic dispatch method for regional integrated energy system based on multi-objective chaotic artificial hummingbird algorithm

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 19, 2024

Abstract This paper investigates Regional Integrated Energy Systems (RIES), emphasizing the connection of diverse energy supply subsystems to address varied user needs and enhance operational efficiency. A novel low-carbon economic dispatch method, utilizing multi-objective chaotic artificial hummingbird algorithm, is introduced. The method not only optimizes environmental benefits but also aligns with "carbon peak carbon neutrality" objectives. study begins by presenting a comprehensive model, followed proposal crucial for deriving Pareto frontier model. Additionally, we introduce TOPSIS approach based on combined subjective objective weights, this harnesses data from solution set deftly, curbs biases dispatchers effectively facilitates selection an optimal system operation plan frontier. Finally, simulation results highlight outstanding performance our in terms optimization outcomes, convergence efficiency, diversity. Noteworthy among these 8.8% decrease costs 14.2% reduction emissions.

Язык: Английский

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Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment

Energy, Год журнала: 2024, Номер 298, С. 131289 - 131289

Опубликована: Апрель 17, 2024

Язык: Английский

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Assessing carbon emission reduction benefits of the electrification transition of agricultural machinery for sustainable development: A case study in China

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 63, С. 103634 - 103634

Опубликована: Янв. 19, 2024

Язык: Английский

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Cooperative Game Enabled Low-Carbon Energy Dispatching of Multi-Regional Integrated Energy Systems Considering Carbon Market

Energies, Год журнала: 2025, Номер 18(4), С. 759 - 759

Опубликована: Фев. 7, 2025

With the growing global environmental concerns and push for carbon neutrality, rural multi-regional integrated energy systems (IESs) face challenges related to low efficiency, high emissions, transition cleaner sources. This paper proposes a cooperative game-based low-carbon economic dispatch strategy IESs, integrating trading mechanisms. A novel IESs architecture is developed exploit synergy between photovoltaic (PV) biomass systems. The proposed model described anaerobic fermentation heat loads, incorporates variable-temperature fermentation, employs Nash bargaining solved via Alternating Direction Method of Multipliers (ADMM) optimize cooperation while preserving stakeholder privacy. Simulation results show that reduces total operating costs by 16.9% emissions 7.5%, validating its effectiveness in enhancing efficiency sustainability

Язык: Английский

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Comparative assessment of multi-objective optimization of hybrid energy storage system considering grid balancing

Renewable Energy, Год журнала: 2023, Номер 216, С. 119107 - 119107

Опубликована: Авг. 2, 2023

Язык: Английский

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Multi-objective battery energy storage optimization for virtual power plant applications

Applied Energy, Год журнала: 2023, Номер 352, С. 121860 - 121860

Опубликована: Сен. 16, 2023

The increasing share of renewable energy sources (RESs) in electricity generation leads to increased uncertainty generation, frequency and voltage regulation as well difficulties management. A virtual power plant (VPP), a combination dispersed generator units, controllable load storage system (ESS), provides an efficient solution for management scheduling, so reduce the cost network impact caused by spikes. This paper proposes multi-objective optimization (MOO) battery (BESS) VPP applications. low-voltage (LV) Alice Springs (Northern Territory, Australia) is considered test this study. BESS each customer used store release when required maintain performance LV cost. To optimize charge/discharge schedule battery, tool (MOOT) developed, where MOO can directly communicate with DIgSILENT PowerFactory platform perform multi-time scale simulation. mainly focuses on generating set trade-off solutions over 24 h considering customer's impact. Then according stakeholder's prior preference, one selected verified realistic network. We also design several scenarios different penetrations photovoltaics (PVs) batteries verify how they influence With PVs batteries, experimental results preference show that customers' be largely reduced maintaining performance.

Язык: Английский

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NSGA-II based short-term building energy management using optimal LSTM-MLP forecasts

International Journal of Electrical Power & Energy Systems, Год журнала: 2024, Номер 159, С. 110070 - 110070

Опубликована: Июнь 3, 2024

To conduct analysis on the field of electricity management in buildings is crucial to contribute clean energy promotion, efficiency, and resilience against climate change. This manuscript proposes a methodology for modeling predictive calibrated system (EMS) using hybrid that combines long short-term memory multilayer perceptron models (LSTM-MLP) optimized by non-dominated sorting genetic algorithm II (NSGA-II). The proposed approach utilizes global forecast (GFS) data anticipate consumption fluctuations optimize use distributed sources, such as photovoltaic (PV) production, based knowledge prices free market one day ahead. trade-off building conducted with NSGA-II, guaranteeing exploration exploitation while minimizing costs wastes. research carried out demonstrates effectiveness LSTM-MLP model advantages NSGA-II hyperparameter tuning balance sustainable practices. tested an existing building, Industrial Engineering School located Campus Lagoas-Marcosende Universidade de Vigo, Spain.

Язык: Английский

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Multi-objective optimization of multi-energy complementary systems integrated biomass-solar-wind energy utilization in rural areas

Energy Conversion and Management, Год журнала: 2024, Номер 323, С. 119241 - 119241

Опубликована: Ноя. 11, 2024

Язык: Английский

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A Novel Statistical Framework for Optimal Sizing of Grid-Connected Photovoltaic–Battery Systems for Peak Demand Reduction to Flatten Daily Load Profiles

Solar, Год журнала: 2024, Номер 4(1), С. 179 - 208

Опубликована: Март 14, 2024

Integrating photovoltaic (PV) systems plays a pivotal role in the global shift toward renewable energy, offering significant environmental benefits. However, PV installation should provide financial benefits for utilities. Considering that utility companies often incur costs both energy and peak demand, installations aim to reduce demand charges. Although can needs during day, their effectiveness reducing particularly early morning late evening, is limited, as generation zero or negligible at those times. To address this limitation, battery storage are utilized storing off-peak hours releasing it finding optimal size of accompanying remains challenge. While valuable optimization models have been developed determine PV–battery systems, certain gap where reduction has not sufficiently addressed process. Recognizing gap, study proposes novel statistical model optimize system reduction. The aims flatten 95% daily demands up threshold, ensuring consistent supply benefit companies. A straightforward effective search methodology employed sizes. Additionally, model’s rigorously tested through modified Monte Carlo simulation coupled with time series clustering generate various scenarios assess performance under different conditions. results indicate successfully flattens selected threshold 2000 kW, yielding USD 812,648 over 20 years.

Язык: Английский

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