首页|含CSPP的区域多能源微网优化调度模型

含CSPP的区域多能源微网优化调度模型

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随着新能源渗透比例的提高与能源耦合程度的加深,多能源微网(MMG)已成为调控复杂能源系统的有效方式.提出一种包含光热电站(CSPP)出力的区域MMG优化调度模型.首先,建立包含风机、光伏、CSPP、热电联产机组及燃气轮机的园区模型.其次,建立基于条件风险价值的MMG优化模型,衡量风光设备出力不确定性存在的经济风险.再次,采用基于共识的交替方向乘子算法完成模型求解.最后,通过算例分析验证了该模型可在提升系统经济效益的同时兼顾了园区的隐私安全.
Optimal Scheduling Model of Regional Multi-energy Microgrid Containing Concentrating Solar Power Plant
With the increase of renewable energy penetration ratio and the deepening of energy coupling,multi-energy microgrid(MMG)has become an effective way to regulate complex energy systems.The paper proposes an optimal scheduling model of regional MMG with the output of concentrating solar power station(CSPP).Firstly,a park model including wind turbine,photovoltaic,CSPP,combined heat and power plant and gas turbine is established.Secondly,an MMG optimization model based on conditional value-at-risk(CVaR)is established to measure the economic risk of output uncertainty for wind and photovoltaic equipment.Thirdly,a consensus-based alternating direction multiplier algorithm is used to solve the model.Finally,an example analysis verifies that this model takes into account the privacy and security of the parks while improving the economic benefits of the system.

MMGCSPPCVaRalternating direction multiplier algorithmshared energy storage

徐雨舟、唐忠

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上海电力大学电气工程学院,上海 200090

多能源微网 CSPP 条件风险价值 交替方向乘子法 共享储能

国家自然科学基金资助项目

52177185

2024

智慧电力
陕西省电力公司

智慧电力

CSTPCD北大核心
影响因子:0.831
ISSN:1673-7598
年,卷(期):2024.52(10)
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