Optimal management of multi stakeholder integrated energy system considering dual incentive demand response and carbon trading mechanism

Abstract

Numerous emerging market organizations have entered the energy market as a result of the gradual expansion in energy market reforms, resulting in fierce competition among them. Meanwhile, the deterioration of environmental contamination and rising energy demands have steadily gained prominence.

Two-Stage Low-Carbon Economic Dispatch of Integrated Demand Response-Enabled Integrated Energy System with Ladder-Type Carbon Trading

“…Except for the fixed electric load, there has a part of the time-shiftable load that can adjust the power consumption amount and period according to the electricity price information to reduce the users' energy consumption cost and smooth the load peak-to-valley power difference [21]. Therefore, the total electricity load of users is expressed as: P L,t = P FL,t + P SL,t (7) where, P L,t , P FL,t , and P SL,t are the total electrical load, the fixed electricity load, and the time-shiftable electricity load of users during period t.…”

“…The ladder-type carbon trading (LTCT) operation mechanism was analyzed in reference [6] and applied to the IES to verify the effectiveness in reducing system carbon emissions and promoting wind power consumption. Reference [7] utilized CTM to improve the economics and environmental benefits of IES with multiple stakeholders. The above references have successfully introduced the CTM into the optimal scheduling of IES; however, most carbon trading is traditional trading with fixed trading prices.…”

Review on low carbon planning and operation of integrated energy systems

“…Therefore, how to deal with the issue of conflicts of interest between multiple stakeholders has become an important research direction in [58]. A mathematical model of each stakeholder is built then solved by using a two-stage optimization algorithm, that is, using the Adaptive Differential Evolution (ADE) algorithm combined with the GUROBI toolbox in [58]. To prevent the leakage of information and protect the privacy of all parties in the IES, an iterative solution algorithm is proposed to solve the problems of low-carbon economic scheduling and energy sharing in a decentralized manner in [59].…”

“…As a result of the expanding reform of the energy market, many emerging market organizations have emerged in the energy market, which has led to fierce competition between them. Therefore, how to deal with the issue of conflicts of interest between multiple stakeholders has become an important research direction in [58]. A mathematical model of each stakeholder is built then solved by using a two‐stage optimization algorithm, that is, using the Adaptive Differential Evolution (ADE) algorithm combined with the GUROBI toolbox in [58].…”

Optimal scheduling strategy of grid-connected microgrid with ladder-type carbon trading based on Stackelberg game

“…Due to the fact that carbon trading is an effective measure to achieve carbon neutrality, the carbon trading market (Tan and Lin, 2022) has been also gradually emerging in recent years. There are more and more research studies on the introduction of the carbon trading mechanism into the energy system (Wang et al, 2022a) to reduce carbon emissions in the power system, including introducing carbon capture technology into the optimal scheduling of the integrated energy system (Cui et al, 2021a), establishing a low-carbon operation and scheduling model of the energy system based on the carbon comprehensive price (Cheng et al, 2019), and proposing a reward-penalty stepped carbon transaction cost model (Xiaohui et al, 2019;Zhang et al, 2020). The introduction of the reward and punishment ladder carbon trading mechanism into the energy system (Wang et al, 2022b) reduces investment costs, operating costs, and carbon trading costs while improving the low-carbon and economical properties of the system (Cui et al, 2021b).…”