| 176 | 1 | 2035 |
| 下载次数 | 被引频次 | 阅读次数 |
为了解决多园区综合能源系统（multi-park integrated energy system,MPIES）中源荷时空差异性导致的供需不匹配问题，提出一种基于时空关联定价机制的MPIES两阶段优化调度策略。首先，基于分时能源价格与跨区域传输成本提出一种由上层能源运营商（energy system operator,ESO）主导的时空关联定价机制，通过动态刻画电价-气价联动关系及储能设备跨园区调节能力，引导MPIES进行能源跨时空优化配置；其次，构建了一个基于主从博弈均衡的ESO-MPIES两阶段调度模型，第一阶段以ESO收益最大化为导向，在ESO与电网、气网之间进行主博弈上层调度，第二阶段以MPIES成本最小化为导向，在ESO与MPIES之间进行从博弈下层调度；最后，提出了一种交替方向乘子法分布式迭代优化算法（distributed iterative alternating direction method of multipliers,DI-ADMM）与梯度投影法结合的分布式协同优化算法对两阶段调度模型进行求解。算例分析表明，该策略能够有效协调多园区综合能源系统的多能互补，在提升经济效益的同时显著降低碳排放，对于推动“双碳”目标的实现具有重要实践意义。
Abstract：To address the mismatch between supply and demand across parks caused by the spatiotemporal differences in energy sources and loads within the multi-park integrated energy system(MPIES),a two-stage optimization dispatch strategy for MPIES is proposed based on a spatiotemporal correlation pricing mechanism.Firstly,a spatiotemporal correlated pricing mechanism,led by the upper-level energy service operator(ESO),is proposed based on time-of-use energy prices and cross-regional transmission costs.This mechanism dynamically characterizes the linkage between electricity and gas prices,as well as the cross-park regulation capabilities of energy storage devices,to guide the MPIES in achieving optimal energy allocation across time and space. Secondly,a bi-level scheduling model based on leader-follower game equilibrium is constructed between the ESO and MPIES. The first stage focuses on maximizing the ESO's profit through upper-level scheduling among the ESO,power grid,and gas network,while the second stage minimizes the MPIES's operational costs through lower-level scheduling between the ESO and MPIES. Finally,a distributed equilibrium collaborative optimization algorithm,which combines the distributed iterative alternating direction method of multipliers(DI-ADMM)and the gradient projection method,is proposed to solve the bi-level scheduling model.Case studies demonstrate that this strategy effectively coordinates multi-energy complementarity in the MPIES,enhances economic benefits,and significantly reduces carbon emissions,holding important practical significance for advancing dual carbon goals.
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基本信息:
DOI：10.20097/j.cnki.issn1007-9904.2025.08.001
中图分类号:TM73;TK01
引用信息:
[1]陈颉,周子龙,张巧龙,等.基于时空关联定价机制的跨园区综合能源系统优化调度策略[J].山东电力技术,2025,52(08):1-15.DOI:10.20097/j.cnki.issn1007-9904.2025.08.001.
基金信息:
国家自然科学基金项目（52407078）; 湖南省教育厅教学改革项目（202401000571）; 煤电清洁智能控制教育部重点实验室开放课题项目（CICCE202421）; 湘潭大学校级科研项目（22QDZ05）; 湖南省研究生科研创新项目（CX20240614）~~
2025-03-25
2025
2025-08-13
2025-06-25
2025
1
2025-08-25
2025-08-25