Optimal Scheduling of Combined Heat and Power Systems Integrating Hydropower-Wind-Photovoltaic-Thermal-Battery Considering Carbon Trading
Shenggang Zhu, Enzhong Wang, Shaozu Han, Huichao Ji
Abstract
During the winter heating period, the accommodation of wind and photovoltaic (PV) power is limited due to the prioritized scheduling of combined heat and power (CHP) systems to meet the heat load demand of users, which indirectly increases carbon emissions (CE). Due to the robust peak shaving and energy storage capabilities of pumped storage hydropower (PSH), PSH and tiered carbon trading can be employed to address these issues. However, there are scarce reports on research exploring the integration of PSH and carbon trading into CHP systems. To fill the technology gap, we propose a low-carbon optimal scheduling method that integrates hydropower-wind-PV-thermal-battery (HWPTB) with CHP. The scheduling model for coordinated multi-energy complementarity of HWPTB is developed to address the electric and heat demand of users. The proposed work is validated by numerical simulation, compared with the traditional optimal scheduling method without considering PSH and carbon trading, the wind and PV power curtailment rates are reduced by 7.17% and 6.77%, respectively, and the operation cost is also reduced by 43.6%, and the CE cost is -4163.3 ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\$}$ </tex-math></inline-formula> ). The results show that the PSH can shave the peak of the electric load and alleviate the reduction of renewable energy accommodation, with no increase in operation cost and profit by tiered carbon trading.