考虑云储能的多区互联综合能源系统规划
摘要：目的 为促进储能和用户侧资源高效利用，提高清洁能源消纳水平，提出了一种考虑云储能的多区互联综合能源系统规划模型。 方法 在建立区域综合能源系统能源枢纽的基础上，提出了考虑电/热/气云储能的能源枢纽模型。针对云储能与综合能源系统分属不同投资主体的问题，考虑云储能投资回报年限约束，提出了双主体两阶段规划模型：第一阶段对网架、设备容量以及云储能使用价格进行规划；第二阶段对综合能源系统的运行策略进行优化。针对多能流网架规划复杂度高的问题，提出了基于最小生成树的预筛选算法。 结果 对某三园区综合能源系统规划的算例分析结果表明，所提模型有助于提高能效、降低碳排、提高互连综合能源系统的经济效益。 结论 研究成果揭示了云储能与多区域综合能源系统协同规划的潜力，并为多类型储能在能源领域的深度应用和商业推广提供参考。
Abstract:Objectives In order to promote the efficient utilization of energy storage and user-side resources and improve the level of clean energy consumption, a multi-area interconnected integrated energy system planning model considering cloud energy storage was proposed. Methods On the basis of establishing the energy router model of the regional integrated energy system, a virtual energy router model considering electricity/heat/gas cloud energy storage was proposed. Aiming at the problem that cloud energy storage and integrated energy system belong to different investment entities, considering the limitation of the investment return period of cloud energy storage, a dual-subject two-stage planning model was proposed. In the first stage, the grid, equipment capacity and cloud energy storage price were planned. In the second stage, the operation strategy of the integrated energy system was optimized. Aiming at the high complexity of multi-energy flow grid planning, a pre-screening algorithm based on minimum spanning tree was proposed. Results The example analysis results of a three-park integrated energy system planning show that the proposed model is helpful to improve energy efficiency, reduce carbon emissions, and improve the economic benefits of interconnected integrated energy systems. Conclusions The research reveals the potential of collaborative planning between cloud energy storage and multi-area integrated energy systems, and provides reference for the in-depth application and commercial promotion of multi-type energy storage in the energy field.
标题：考虑云储能的多区互联综合能源系统规划
title:Multi-Area Interconnected Integrated Energy System Planning Considering Cloud Energy Storage
作者：胡程平, 范明, 刘艾旺, 施云辉
authors:Chengping HU, Ming FAN, Aiwang LIU, Yunhui SHI
关键词：综合能源系统,能源互联网,云储能,能量路由器,两阶段随机规划,
keywords:integrated energy system,energy internet,cloud storage system,energy router,two-stage stochastic programming,
发表日期：2024-08-31
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