考虑源荷不确定性的风电–光热–碳捕集虚拟电厂协调优化调度W-S-C Capture Coordination in Virtual Power Plant Considering Source-load Uncertainty
仲悟之;黄思宇;崔杨;许加凯;赵钰婷;
摘要(Abstract):
为实现电力低碳化、促进可再生能源并网消纳,需要考虑大规模波动性电源的不确定性对电网运行调度的影响。在分析碳捕集机组及光热电站工作原理的基础上,引入模糊理论,将风电和负荷用模糊参数表示,使确定性的系统约束变为基于可信性理论的模糊机会约束,构建了考虑源荷不确定性的风电-光热-碳捕集虚拟电厂协调优化调度模型。通过优化各机组出力,在提高风电并网消纳量的同时降低碳排放量,该调度模型综合考虑碳捕集机组发电成本、风电和光热并网消纳的运行维护成本、碳交易市场收益以及电网安全运行约束等因素,并应用梯形隶属度参数的清晰等价类,将机会约束清晰化,以对模糊机会约束进行求解。算例基于西北某省风电、负荷实测数据,通过CPLEX优化软件求解模型,仿真结果验证了所提调度模型可有效促进风电消纳、实现电力低碳化。
关键词(KeyWords): 碳捕集机组;风电;光热;虚拟电厂;不确定性;模糊机会约束
基金项目(Foundation): 国家自然科学基金项目(51777027)~~
作者(Author): 仲悟之;黄思宇;崔杨;许加凯;赵钰婷;
Email:
DOI: 10.13335/j.1000-3673.pst.2019.1986
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