考虑供应侧灵活响应与需求响应不确定性的综合能源系统优化调度Optimal scheduling of integrated energy system considering supply-side flexible response and demand response uncertainty
徐慧慧,赵宇洋,田云飞,彭婧,徐雅崟,梁宁
XU Huihui,ZHAO Yuyang,TIAN Yunfei,PENG Jing,XU Yayin,LIANG Ning
摘要(Abstract):
为进一步提升IES(综合能源系统)的供需灵活性,实现低碳经济运行,提出一种考虑需求响应不确定与供需双响应的IES优化调度策略。首先,在传统电转气运行过程的基础上建立精细化电转气两阶段运行模型,将其与碳捕集、热电联产、燃气锅炉设备相耦合构成供应侧灵活响应模型,以实现氢能多元灵活运用。其次,针对需求侧参与响应的不确定性,建立考虑模糊机会约束的多元负荷综合需求灵活响应模型,并利用等价清晰方法将其转化为确定性模型。最后,引入阶梯式碳交易机制,构建以IES总运行成本最小为目标的优化调度模型。仿真分析验证了所提策略的有效性。
To further enhance the supply-demand flexibility of integrated energy systems(IES) and achieve lowcarbon economic operation, this paper proposes an optimal IES scheduling strategy that accounts for demand response uncertainty and supply-demand responsiveness. First, a refined two-stage power-to-gas(P2G) operational model is established based on the traditional P2G operation process. This model is coupled with carbon capture, combined heat and power(CHP), and gas boiler systems to develop a supply-side flexible response model, enabling diversified and flexible utilization of hydrogen energy. Second, to address the uncertainty of demand-side participation in response, a comprehensive flexible response model incorporating fuzzy chance constraints is developed.This model is converted into a deterministic using an equivalent clear method. Finally, a tiered carbon trading mechanism is introduced, and an optimal scheduling model is constructed with the objective of minimizing the total operational cost of the IES. Simulation analyses validate the effectiveness of the proposed strategy.
关键词(KeyWords):
需求响应不确定性;供需双响应;综合能源系统;低碳经济;优化调度
demand response uncertainty;supply-demand responsiveness;IES;low-carbon economy;optimal scheduling
基金项目(Foundation): 国家自然科学基金(52167010);; 国家电网有限公司科技项目(52273023010C,W24FZ2730049)
作者(Author):
徐慧慧,赵宇洋,田云飞,彭婧,徐雅崟,梁宁
XU Huihui,ZHAO Yuyang,TIAN Yunfei,PENG Jing,XU Yayin,LIANG Ning
DOI: 10.19585/j.zjdl.202503006
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- 需求响应不确定性
- 供需双响应
- 综合能源系统
- 低碳经济
- 优化调度
demand response uncertainty - supply-demand responsiveness
- IES
- low-carbon economy
- optimal scheduling