计及不确定性和混合储能设备的综合能源系统多目标优化调度模型
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1.国网宁夏电力有限公司经济技术研究院;2.华北电力大学经济与管理学院;3.国网宁夏电力有限公司经济技术研究院,宁夏省银川市

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国家电网公司总部科技项目“泛在电力物联网投资成本链在竞争型与非竞争型业务中分摊精算关键技术与模型研究”(SGNXJY00DWJS2000020)资助


A Multi-objective Optimal Scheduling Model for Multi-energy System Considering Uncertainty and Hybrid Energy Storage Devices
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1.Economic Research Institute of State Grid Ningxia Electric Power Co., Ltd;2.School of Economics and Management, North China Electric Power University

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    摘要:

    为提高综合能源系统内可再生能源消纳水平,量化不确定性机组出力对系统调度的影响,本文首先构建了包含氢能-天然气混合储能的综合能源系统,分析混合储能在系统中的运行特性;其次,构建了综合能源系统多目标优化调度模型,利用多目标CVaR方法对风电机组不确定性风险进行描述;然后,采用模糊C均值-综合质量评估方法(FCM-CCQ)与改进的粒子群算法将系统不确定性问题转化为确定性问题;最后,分别求解不考虑不确定性的单目标优化结果和考虑不确定性的综合目标优化结果。研究结果显示:混合储能设备能够有效提高可再生能源消纳水平,实现能量的多级转化;可再生能源不确定性将增加综合能源系统综合成本,系统风险承受能力越强,调度结果越优。

    Abstract:

    To improve the renewable energy consumption level in the multi-energy system and quantify the influence of uncertain unit output on system scheduling, first, a multi-energy system containing hydrogen and gas energy storage is constructed and the operation characteristics of hybrid energy storage in the system are analyzed; second, a multi-objective optimal scheduling model for multi-energy systems is constructed, and the uncertainty risk of wind turbines is described by the multi-objective conditional value at risk method; third, fuzzy C-mean-comprehensive quality assessment and improved particle swarm optimization are used to transform the system uncertainty problem into a deterministic problem; finally, the single-objective optimization results without uncertainty and the comprehensive objective optimization results with uncertainty are solved, respectively. The results demonstrate that (1) hybrid energy storage devices can effectively improve the renewable energy consumption level and realize multi-stage energy conversion; (2) the uncertainty of renewable energy increases the comprehensive cost of a multi-energy system; and (3) the improved risk tolerance of the system can improve scheduling results.

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  • 收稿日期:2021-04-20
  • 最后修改日期:2021-06-20
  • 录用日期:2021-09-11
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