融合阶梯式碳交易与需求响应的源荷协同优化OA北大核心CSTPCD
Source-load Collaborative Optimization Combining Stepwise Carbon Trading and Demand response
为实现多能互补的区域综合能源系统的低碳经济运行,提出一种融合阶梯式碳交易需求响应的源荷协同优化运行方法.首先,通过引入阶梯式碳交易机制和电转气设备来提高源侧可再生能源的消纳水平并降低碳排放量;其次,在负荷侧引入考虑用户满意度的电-气-热多能耦合的激励型需求响应,并结合调峰收益实现多元负荷的削峰填谷;基于此,建立考虑碳交易与需求响应的区域电-气-热综合能源系统优化运行模型;最后,算例结果表明所提调度模型能够优化电-气-热负荷曲线并降低系统碳排放,实现区域综合能源系统的源荷协同降碳和经济性运行.
In order to realize low-carbon economic operation of multi-energy complementary regional integrated energy system,this paper proposes a source-load collaborative optimization operation method integrating stepwise carbon trading demand response.Firstly,it introduces the stepwise carbon trading mechanism and power-to-gas equipment to improve the absorption level of the renewable energy sources on the source side and reduce carbon emissions.Secondly,on the load side,an excitation demand response with electric-gas-thermal multi-energy coupling considering user satisfaction is introduced,and the peak shaving and valley filling of multiple loads is realized by combining the peak shaving benefits.Based on this,the paper establishes an optimal operation model of regional electricity-gas-heat integrated energy system considering carbon trading and demand response.Finally,the example results show that the proposed dispatching model can optimize the electric-gas-heat load curve and reduce the carbon emissions of the system,and realize the coordinated carbon reduction and economic operation of the source-load of the regional integrated energy system.
李怡晨;李强;李宏伟;张伟
东北电力大学电气工程学院,现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林吉林 132012国网四川省电力公司绵阳供电公司,四川 绵阳 621000
动力与电气工程
多能互补阶梯式碳交易激励型需求响应源荷协同优化低碳经济运行
multi-energy complementarystepwise carbon tradingincentive demand responsesource-load collaborative optimizationlow-carbon economic operation
《广东电力》 2024 (004)
71-79 / 9
国家自然科学基金项目(52207189)
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