IEEE Transactions on Sustainable Energy · 2023 · 129 citations · 36 references
ManagementEconomicsEnergy ManagementEnergy SystemsPricing StrategyCarbon Emissions ManagementCarbon PricingEnergy EfficiencyEnergy Management SystemsEnergy PricingEnergy System ModelingCarbon Emissions OptimizationCarbon Pricing StrategyConsumption-based PricingElectricity PricingIntegrated Pricing StrategyOptimization Under Carbon PricingStackelberg EquilibriumStackelberg Games
The interdependence of different energy forms and flexible interaction among multiagents in an integrated energy system is key to reducing carbon emissions, making optimization for low‑carbon and economic goals necessary. The study proposes an integrated energy management method that combines energy and carbon pricing. A consumption‑based integrated pricing model calculates energy‑carbon prices for electricity, thermal resources, and gas, and a Stackelberg game with the ESP as leader and prosumers as followers is employed to maximize ESP profit and consumer surplus, with the approach validated on practical examples. The method increases ESP profit and reduces carbon emissions more efficiently than traditional approaches.
The interdependence of different energy forms and flexible energy interaction among multiagents in an integrated energy system (IES) are significant for reducing carbon emissions. Therefore, optimizing the IES to achieve low-carbon emission and economic goals is necessary. This study proposes an IES energy management method based on the energy–carbon integrated pricing method. First, a consumption-based integrated pricing model is proposed to calculate the energy–carbon integrated prices of electricity, thermal resources, and gas for energy service provider (ESP). Second, an energy management method based on the Stackelberg game is established, with the ESP as the leader and the prosumers as the followers. In the game model, the objectives of the ESP and prosumers are to maximize profit by formulating an appropriate energy–carbon integrated pricing strategy and maximize consumer surplus by optimizing load, respectively. Finally, the effectiveness of the proposed method is verified using practical examples. The results indicate that the proposed method can increase the profit of ESP and reduce carbon emissions more efficiently than traditional methods.
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Modeling Carbon Emission Flow in Multiple Energy Systems
Yaohua Cheng, Ning Zhang, Yi Wang et al. · IEEE Transactions on Smart Grid · 2018 · 336 citations
Engineering, Environmental Engineering, Carbon Management +16