Low-carbon dispatch optimization of wind-solar-thermal-storage multi-energy system based on stochastic chance constraints and carbon trading mechanism

International Journal of Renewable Energy Development, Journal Year: 2025, Volume and Issue: 14(2), P. 233 - 244

Published: Jan. 15, 2025

To improve the low-carbon economic performance of renewable energy-dominated power systems, a multi-energy coordinated optimization dispatch model for wind, solar, thermal, and storage systems considering uncertainties on both supply demand sides is proposed. This paper comprehensively considers costs thermal unit operation, wind solar curtailment, energy carbon trading spinning reserve. The incorporates penalizing mechanism uses stochastic chance-constrained approach to handle fluctuations in generation as well load forecasting. study, based IEEE 30-bus system, solved using simulation particle swarm algorithm. Results show that after introducing mechanism, system's emissions were reduced by 8.35%, curtailment penalties 65.48%, overall decreased 14.94%. Additionally, effectively reserve capacity requirements, with decreasing 31.84%, leading further reduction 26.83% costs. In scenario combined wind-solar-thermal-storage output, rate dropped 7.37%, 6474.69 tons. Through "energy shifting" function, system provided effective support during peak loads, optimizing outcomes.

Language: Английский

A Multi-objective Operation Optimization Model for Integrated Energy System in Parks Considering Differentiated Working Conditions

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 286 - 295

Published: Jan. 1, 2025

Language: Английский

The Spatiotemporal Decoupling Relationship between Economic Development, Energy Consumption, and Carbon Dioxide Emissions in Xinjiang Province from 2006 to 2020

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6421 - 6421

Published: July 26, 2024

Understanding the spatiotemporal decoupling effects among economic development, energy consumption, and carbon dioxide emissions is paramount to achieving sustainable development. This relationship sheds light on how regions can grow economically while managing their resources efficiently minimizing environmental impacts. study examines critical globally relevant issue of that includes in Xinjiang Province from 2006 2020. The Tapio Elasticity Analysis Method utilized achieve this objective. We found early years showed expansive coupling, reflecting a phase where growth was closely tied increases consumption emissions. However, over time, particularly post-2010, there noticeable shift towards weak eventually more substantial forms decoupling. primary sector displayed mostly strong secondary sector, however, fluctuating states. In tertiary generally observed. A spatial analysis across Xinjiang’s prefectures cities revealed pronounced regional variations. investigation validates effectiveness ecological policies illustrates necessity tailored strategies foster Our findings provide valuable insights not only for policymakers but also international stakeholders aiming results underline importance different regions, contributing broader understanding development dynamics.

Language: Английский