考虑多功能复用的用户侧储能联合优化控制策略OA
A coordinated optimization and control strategy for user-side energy storage consid-ering multi-functional integration
针对用户侧储能单一功能收益经济性提升空间有限的问题,提出一种用户侧储能多功能联合优化运行策略,通过同时参与调频、能量套利及需量管理实现综合效益最大化.分析了3种功能的收益机制以及储能运行约束,构建了三层优化模型架构:月度优化层以能量套利收益和需量管理收益最大化为目标,协同优化月周期基准功率曲线及月度需量上限;日前申报层以调频收益最大化为目标,优化次日调频容量申报策略;实时响应层以调频收益和动态套利收益实时最优为目标,实现分钟级自动发电控制指令跟踪与功率再分配.算例结果表明,相较于仅参与能量套利且缺乏实时更新机制的运行策略,所提优化模型能够提升用户侧储能的经济效益,验证了多功能协同优化策略的有效性.
To address the limited economic potential of single-function user-side energy storage,this paper proposes a multi-functional coordinated optimization strategy for user-side energy storage,aiming to maximize overall benefits through simultaneous participation in frequency regulation,energy arbitrage,and demand management.The rev-enue mechanisms of the three functions and the operational constraints of energy storage are analyzed.Then,a three-layer optimization model framework is established:the monthly optimization layer targets maximization of energy ar-bitrage and demand management revenues,coordinating the monthly baseline power profile and monthly demand cap;the day-ahead bidding layer targets maximization of frequency regulation revenue,optimizing the next day's frequency regulation capacity bidding strategy;the real-time response layer aims for real-time optimization of fre-quency regulation and dynamic arbitrage revenue,enabling minute-level automatic generation control(AGC)track-ing and power redistribution.Case studies show that,compared with strategies that only participate in energy arbi-trage and lack real-time updating,the proposed optimization model enhances the economic performance of user-side energy storage,validating the effectiveness of the multi-function coordinated optimization strategy.
胡建光;李赫楠;叶建锚;林启待;肖传亮
平阳县昌泰电力实业有限公司,浙江 温州 325400国网浙江省电力有限公司平阳县供电公司,浙江 温州 325400平阳县昌泰电力实业有限公司,浙江 温州 325400平阳县昌泰电力实业有限公司,浙江 温州 325400山东理工大学 电气与电子工程学院,山东 淄博 255000
用户侧储能多功能复用能量套利调频需量管理多时间尺度
user-side energy storagemulti-functional integrationenergy arbitragefrequency regulationdemand managementmulti-timescale
《浙江电力》 2026 (6)
39-48,10
国家自然科学基金(52377110)山东省自然科学基金(ZR2024QE034)温州图盛控股集团有限公司科技项目(CF058810002023001)
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