摘要
虚拟电厂(virtual power plant,VPP)聚合分布式电源和负荷侧可调资源以统一整体参与能源市场交易,成为了提升新能源消纳、挖掘负荷侧需求响应潜力的有效途径。在此背景下,构建了基于多目标两阶段规划的虚拟电厂优化调度模型。日前阶段以市场运营收益和用户用能满意度最大化为目标,构建了虚拟电厂多目标优化模型,采用NSGA-Ⅱ算法求解多目标问题的帕累托最优解,并提出综合效益指标对解进行筛选;实时阶段以偏差惩罚成本和弃风成本最小化为目标,构建了虚拟电厂鲁棒优化模型,考虑了热电联产机组(combined heat and power,CHP)灵活热电比对风电消纳的促进作用。最后,对某实际虚拟电厂进行算例分析,研究结果表明所提方法能够在保证虚拟电厂综合效益的前提下提高其能源利用效率。
Virtual power plant(VPP)aggregates distributed power and load-side adjustable resources participating in energy market trading,which has become an effective way to absorb new energy and tap the demand response potential.Under this background,a VPP dispatching model based on multi-objective and two-stage programming is constructed.In the day-ahead stage,the maximiza-tion of market operation income and user energy absorption satisfaction has been taken as the goal to construct the multi-objective optimization model of VPP.The Pareto optimal solution of the multi-objective problem is solved by NSGA-Ⅱalgorithm,and the comprehensive benefit index is proposed to select the best solution.In the real-time stage,the minimization of deviation penalty cost and wind abandonment cost has been taken as the goal to construct the robust programming model of VPP,considering the influence of the flexible thermoelectric ratio of combined heat and power(CHP)plant on the wind power absorption.Finally,an actual VPP is analyzed to verified the multi-objective two-stage programming model.The results show that the proposed model can improve its energy utilization efficiency on the premise of ensuring the comprehensive benefits of VPP.
作者
魏震波
孙舟倍
梁政
WEI Zhenbo;SUN Zhoubei;LIANG Zheng(College of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《南方电网技术》
CSCD
北大核心
2023年第4期109-118,共10页
Southern Power System Technology
基金
国家自然科学基金资助项目(52077146)。
关键词
虚拟电厂
两阶段规划
多目标优化
消纳风电
优化调度
virtual power plant(VPP)
two-stage programming
multi-objective optimization
wind absorption
optimal dispatch
