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Optimal operation of electricity-gas-heating-cooling integrated energy systems with SCPR-based carbon trading using a novel SMABC algorithm

引用

RENEWABLE ENERGY 2024年 232卷

作者： Liu, Jing Zhao, Tong China Univ Min & Technol Beijing Sch Mech & Elect Engn Beijing 100083 Peoples R China

With further aggravation of climate change and energy crisis, more and more attention has been focused on integrated energy systems which can reduce carbon emission and increase accommodation of renewable energy. At present, research on optimal operation of integrated energy systems has been widely carried out. However, intelligent optimization algorithms for solving the optimal operation problems still needs to be further studied. To gap this issue, the slime mould-artificial bee colony (SMABC) algorithm is proposed for the first time to solve optimal operation of the integrated electricity-gas-heating-cooling energy systems which contains renewable energy, power to hydrogen (P2H), power to gas (P2G), hydrogen fuel cells, gas-fueled units, gas boiler, electrical chiller and waste heat recovery units. Additionally, a carbon trading mechanism with the stepped carbon penalty response (SCPR) is presented in the optimal operation model to cut down operation cost as well as to reduce carbon emission considering power load, gas load, heating load and cooling load. Further, four case studies were carried out on an integrated energy systems using the proposed SMABC algorithm. The results illustrate that SMABC algorithm has great advantages than the traditional particle swarm optimization (PSO) algorithm and the slime mould (SM) algorithm in terms of better economic/environmental benefit (7.58 % and 2.82 % decline in operation cost as well as 21.02 % and 12.19 % reduction in carbon emission, respectively). Meanwhile, renewable energy curtailment is reduced significantly using SMABC algorithm than using PSO algorithm and SM algorithm (decreased by 77.27 % and 63.43 %, respectively). Moreover, the SCPR contributes to less carbon emission (reduced by 21.93 %). The presented optimal operation model considering carbon trading mechanism with SCPR as well as the proposed SMABC algorithm are respected to be applied to other integrated energy systems.

关键词： Integrated energy systems slime mould-artificial bee colony algorithm (SMABC) Carbon emission Stepped carbon penalty response (SCPR) Intelligent algorithms

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