首页|考虑参数自适应阶梯碳交易的含混氢—碳捕集耦合的农村综合能源系统优化调度

考虑参数自适应阶梯碳交易的含混氢—碳捕集耦合的农村综合能源系统优化调度

扫码查看
建设清洁高效的新型农村能源系统对全面推进乡村振兴战略具有重要意义.构建一种含混氢—碳捕集耦合的农村综合能源系统运行模式,并提出考虑参数自适应的阶梯碳交易与阶梯激励型需求响应的低碳经济调度策略.首先,建立掺氢改造后燃气机组的精细化模型,并融合两阶段电转气、碳捕集技术,形成混氢—碳捕集耦合运行模式;其次,引入阶梯激励型需求响应,推进用户用能方式转变,缓解系统负荷高峰期供能压力;最后,引入阶梯碳交易机制并以系统运行成本最小为目标构造运行层优化模型,并采用CPLEX进行求解,同时计算碳排放总量,以碳排放量最小作为碳交易机制参数层优化目标,并通过粒子群算法寻优,确定最优碳交易机制参数与运行策略.通过设置不同情景进行对比,验证所提调度策略可有效降低系统碳排放并实现经济运行.
Optimal scheduling of an integrated rural energy system with coupled hybrid hydrogen-carbon capture considering parameter adaptive stepped carbon trading
Building clean and efficient integrated rural energy systems is of great significance to the comprehensive promotion of the rural revitalization strategy,an integrated energy system operation model with hydrogen mixing-carbon capture coupling is constructed,and a low-carbon economic scheduling strategy that takes into account the parameter-adaptive stepped carbon trading and stepped incentive-based demand response is proposed in this paper. Firstly,a refined model of gas-fired units after hydrogen doping reform is established,and two-stage electricity-to-gas conversion,carbon capture technologies are integrated to form a coupled hydrogen mixing-carbon capture operation mode;secondly,stepped incentive demand response is introduced to promote the transformation of users' energy use and alleviate the pressure of energy supply during the peak load period of the integrated energy system;finally,a step carbon trading mechanism is introduced to construct an operation optimization model with the aim of minimizing the operating cost,and CPLEX is adopted to optimize the operation mode of the integrated energy system. Finally,the stepped carbon trading mechanism is introduced and the operation model is constructed with the goal of minimizing the system operation cost,and the CPLEX is used to solve the model,while the total carbon emission is calculated to minimize the carbon emission as the optimization goal of the parameters of the carbon trading mechanism,and the particle swarm algorithm is used for finding the optimal parameters of the optimal carbon trading mechanism and the operation strategy. By setting different scenarios for comparison,it is verified that the proposed scheduling strategy can effectively reduce carbon emissions and realize economic operation.

hydrogen dopingtwo-stage p2gstepped carbon tradingdemand responseintegrated rural energy system

张林垚、吴桂联、倪识远、林锟、刘丽军

展开 >

国网福建省电力有限公司经济技术研究院,福建福州 350011

福州大学电气工程与自动化学院,福建福州 350108

掺氢 两阶段P2G 阶梯碳交易 需求响应 农村综合能源系统

福建省创新战略研究项目

2022R0161

2024

电力科学与技术学报
长沙理工大学

电力科学与技术学报

CSTPCD北大核心
影响因子:0.85
ISSN:1673-9140
年,卷(期):2024.39(3)