引用本文:李宏仲,吕梦琳,胡列翔,王蕾,胡哲晟.考虑广义储能的微电网联合规划[J].电力自动化设备,2020,40(7):
LI Hongzhong,Lü Menglin,HU Liexiang,WANG Lei,HU Zhesheng.Joint planning of microgrid considering generalized energy storage[J].Electric Power Automation Equipment,2020,40(7):
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考虑广义储能的微电网联合规划
李宏仲1, 吕梦琳1, 胡列翔2, 王蕾3, 胡哲晟3
1.上海电力大学 电气工程学院,上海 200090;2.国网浙江省电力有限公司,浙江 杭州 310007;3.国网浙江省电力有限公司经济技术研究院,浙江 杭州 310008
摘要:
针对微电网的联合规划问题,提出了常规储能以及可转移负荷、可削减负荷、电动汽车等广义储能的响应模型。根据灵活性需求,对日广义负荷曲线进行场景多维聚类。以综合成本、灵活性资源不匹配度最小以及风光电源的消纳量最大为目标函数,计及孤岛运行等约束,建立多目标的混合整数非线性规划模型。将多目标模型转化为单目标模型并采用CPLEX求解器进行求解,得到网架的最佳架设方案以及分布式电源、储能装置的最佳接入地点和容量。以某地区低压微电网为例,验证了考虑广义储能规划方案的优势和所提模型的有效性。算例分析结果表明,在运行过程中将可控负荷和电动汽车参与到负荷调节,使微电网的灵活性资源增加,可以减少规划过程中一次设备的投资,提高运行的灵活性,促进清洁能源的消纳。
关键词:  广义储能  微电网  联合规划  场景聚类  多目标模型
DOI:10.16081/j.epae.202007006
分类号:TM715
基金项目:国家自然科学基金资助项目(51777126)
Joint planning of microgrid considering generalized energy storage
LI Hongzhong1, Lü Menglin1, HU Liexiang2, WANG Lei3, HU Zhesheng3
1.School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007, China;3.Economic and Technological Research Institute of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310008, China
Abstract:
In order to solve the joint planning problem of microgrid, the response models of generalized energy storage, such as conventional energy storage, transferrable load, diminishable load, electric vehicles, and so on, are proposed. According to the flexibility demand, the multi-dimensional scene clustering is carried out for the daily generalized load curve. A multi-objective mixed integer nonlinear programming model is established with the minimum comprehensive cost, the minimum mismatching degree of flexible resources and the maximum consumption of wind/photovoltaic power as the objective function, and considering the cons-traints of island operation. The multi-objective model is transformed into a single-objective model and solved by CPLEX solver, so as to obtain the optimal erection scheme of network and the optimal access loca-tion and capacity of the distributed generation and energy storage device. A regional microgrid is taken as the example to verify the practicality of the proposed model and the advantage of considering generalized energy storage in microgrid planning. The example results show that the controllable load and electric vehicles are involved in the load regulation in the operation process, so that the flexible resources of microgrid increases, the investment of primary equipment decreases in the planning process, the operation flexibility is improved, and the consumption of clean energy is promoted.
Key words:  generalized energy storage  microgrid  joint planning  scene clustering  multi-objective model

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