2023/08/16 by Yue Chen, Chen, Yue, Changhong Zhao +1
Engineering · #Electric Power System Optimization #FOS: Mathematics #Integrated Energy Systems Optimization #Optimization and Control (math.OC) #Smart Grid Energy Management
paper · pdf · doi:10.48550/arxiv.2308.08195
openalex publication_date 2023/08/16 · openalex created_date 2023/08/18 · openalex updated_date 2026/07/28
Decarbonizing electric grids is a crucial global endeavor in the pursuit of carbon neutrality. Taking carbon emissions from generation into account when pricing electricity usage is an essential way to achieve this goal. However, such pricing is not trivial due to the requirements of an effective electricity market, such as maintaining budget balance, providing incentives to motivate participants to follow the dispatch schedule, and minimizing the impact on affected parties compared to when they were in the traditional electricity market. Although existing joint electricity-carbon pricing mechanisms have shown promising performance in reducing emissions in power networks, they can hardly meet all the requirements. This paper proposes a novel joint electricity-carbon pricing mechanism based on primal-dual optimality condition-enabled transformation. An algorithm for determining the critical market parameter is developed. The proposed pricing mechanism is proven to possess all the desired properties, including budget balance, individual rationality, dispatch-following incentive compatibility, and truthful-bidding incentive compatibility. These properties ensure the proposed mechanism can incentivize market participants to achieve carbon-aware social optimum in a self-organized and sustainable way. Numerical experiments show the advantages of the proposed pricing mechanism compared to the existing marginal-based and carbon emission flow-based pricing mechanisms.