Considering Low-Carbon Economic Dispatch of Power Systems with the Participation of Large-Scale Energy Storage and Multiple Types of Regulation Resources

Wang, Gang; Fan, Haifeng; Bi, Mingde; Huang, Cheng; Fan, Yihui; Liu, Chuang

doi:10.1109/aeees56888.2023.10114252

Cited by 2 publications

(2 citation statements)

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“…Verma [10] investigates the impact of different operating modes and partially cloudy weather conditions on hydrogen storage microgrid systems. Wang [11] proposes a comprehensive energy low-carbon economic dispatch model which combines wind power hydrogen production with various energy storage methods. This model optimizes the power output of each unit.…”

Section: Related Workmentioning

confidence: 99%

Day Ahead Optimal Scheduling of Smart Community Microgrid Based on Improved NSGA-III

Zhao,

Hao,

Pei

et al. 2024

Advances in Transdisciplinary Engineering

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Urban Microgrids have complex topologies and operating environments. This leads to extreme volatility and instability when high percentage of renewable energy is integrated into them. To address these problems, we propose a day-ahead optimal scheduling model for the smart community microgrid on the basis of the improved non-dominated sorting genetic algorithm III (NSGA-III). It minimizes the day-ahead operating cost of the microgrid while balancing electricity load. Firstly, we design a wind/solar/hydrogen storage self-consistent energy system inside the community microgrid to realize the efficient utilization of renewable energy. Secondly, we introduce an adaptive mutation-crossover strategy, and propose a fuzzy inference-based NSGA-III algorithm, to solve the slow convergence speed and poor convergence stability of the current multi-objective optimization algorithms. Finally, we design an optimal microgrid scheduling strategy based on typical day. In the day ahead operation cycle of the community microgrid, it maximizes the absorption of wind/solar unit outputs. This improves the operational efficiency of the microgrid and effectively reducing system operating costs. Extensive experiments demonstrate that the proposed model achieves superior performance compared with the original NSGA-III methods. The total daily operating costs of the proposed microgrid is reduced by 4.5%, and the renewable energy consumption rates is increased by 8.1%.

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Section: Related Workmentioning

confidence: 99%

Day Ahead Optimal Scheduling of Smart Community Microgrid Based on Improved NSGA-III

Zhao,

Hao,

Pei

et al. 2024

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

show abstract

“…They establish a carbon economic dispatch model that considers carbon capture and demand response. In [8] addresses the issue of uncertainty in intermittent renewable energy by constructing an economic dispatch framework involving large-scale energy storage and the participation of various regulating resources. In [9] proposes an improved dispatch model for Integrated Energy Systems (IES) based on Carbon Emission Flow (CEF).…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization and dispatch of Non cooperative Games among Four Parties in the Comprehensive Energy Market under the Mapping of Stepped Carbon Tax

Zhang,

2024

Preprint

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Within the context of the global "dual-carbon" policy, the study explores the low-carbon energy transactions among diverse entities in the comprehensive energy market and the constraints imposed by the design of tiered carbon tax policies. This has emerged as a research hotspot in the field of low-carbon economic dispatch. The paper comprehensively examines the coupled relationship between the energy consumption and corresponding carbon emission factors among four entities: microgrid energy operators, flexible shared energy storage, electric to heat transfer operator, and community aggregator. It maps the corresponding energy prices into the interests of a non-cooperative game among entities, thereby guiding each entity to achieve a balance between carbon emissions and economic costs. The paper utilizes an enhanced genetic-particle swarm hybrid algorithm for solving and validates the effectiveness of the dispatch strategy by analyzing the marginal and cumulative effects generated by the design of tiered carbon tax policies. The findings indicate that under continuous tiered carbon tax mapping, the formulation strategy of electricity and heat prices has been further optimized, balancing the interests of the four entities, and effectively enhancing the integration of new energy while reducing the output of fossil energy units.

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Considering Low-Carbon Economic Dispatch of Power Systems with the Participation of Large-Scale Energy Storage and Multiple Types of Regulation Resources

Cited by 2 publications

References 1 publication

Day Ahead Optimal Scheduling of Smart Community Microgrid Based on Improved NSGA-III

Day Ahead Optimal Scheduling of Smart Community Microgrid Based on Improved NSGA-III

Research on Optimization and dispatch of Non cooperative Games among Four Parties in the Comprehensive Energy Market under the Mapping of Stepped Carbon Tax

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