• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2016, Vol. 37 ›› Issue (9): 14-.doi: 10.3969/j.issn.1000-7229.2016.09.002

• 能源互联网 • 上一篇    下一篇

考虑能源需求不确定性的居民小区能源中心运行策略

张华一1,文福拴1,2,张璨3, 王芃1, 孟金岭4, 林国营4   

  1. 1.浙江大学电气工程学院, 杭州市 310027;2.文莱科技大学电机与电子工程系, 文莱斯里巴加湾 BE1410;3.国网江苏省电力公司南京供电公司, 南京市 210019; 4.广东电网有限责任公司电力科学研究院, 广州市 510600
  • 出版日期:2016-09-01
  • 作者简介:张华一(1993),女,硕士研究生,主要从事电力市场方面的研究工作; 文福拴(1965),男,教授,博士生导师,本文通信作者,主要从事电力系统故障诊断与系统恢复、电力经济与电力市场、智能电网与电动汽车等方面的研究工作; 张璨(1989),男,硕士,主要研究方向为电力系统恢复; 王芃(1989),男,博士研究生,主要从事电力系统规划方面的工作; 孟金岭(1986),男,硕士,工程师,研究方向为电力系统谐波治理、电力需求侧综合节能技术; 林国营(1983),男,硕士,高级工程师,研究方向为智能用电、数字化电能计量技术。
  • 基金资助:
    国家重点基础研究发展计划项目(973计划)(2013CB228202); 国家自然科学基金项目(51477151);南方电网公司科研项目(K-GD2014-192)

Operation Strategy for Residential Quarter Energy Hub Considering Energy Demands Uncertaintie

ZHANG Huayi1, WEN Fushuan1,2, ZHANG Can3,WANG Peng1, MENG Jinling4, LIN Guoying4   

  1. 1.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China; 2. Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei; 3. State Grid Nanjing Power Supply Company,Nanjing 210019, China; 4. Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510600, China
  • Online:2016-09-01
  • Supported by:
    Project supported by the National Basic Research Program of China (973 Program) (2013CB228202); National Natural Science Foundation of China (51477151)

摘要: 近年来,在居民侧实施热电联产和供热电气化受到了广泛关注。居民小区主要能源需求为电能和热能,主要能源输入为电能和天然气,可以采用能源中心概念来描述居民小区能源需求与能源输入间的耦合关系。在此背景下,首先构建了以热电联产和热泵作为能源转化装置的居民小区能源中心架构。然后,发展了居民小区能源中心内部优化运行的确定性模型,并将电动汽车集群负荷作为可控电负荷参与优化运行。考虑到居民小区的能源需求具有不确定性,且能源中心决策者制定调度策略时对风险的偏好也未必相同,为获得风险厌恶型决策者和风险偏好型决策者的调度策略,引入了信息间隙决策理论建立鲁棒优化模型和机会获利模型,进而建立了居民小区能源中心混合整数线性规划模型,并采用CPLEX求解。最后,以某居民小区为例来说明所发展的模型与方法的基本特征。

关键词: 居民小区能源中心, 电动汽车充电, 信息间隙决策理论(IGDT), 鲁棒优化模型, 机会获利模型

Abstract: In recent years, the popularization of combined heat and power generation and electric heating has attracted extensive attention. The main energy demands in a residential quarter are heating demands and electricity demands, and the energy hub can be used to descript the coupling relationship between the energy demand and the energy input. Given this background, this paper firstly presents a mathematical model for the residential quarter energy hub, with the combined heat and power generation and the heat pump as energy devices. Then, this paper constructs the deterministic model of the residential quarter energy hub operation optimization, and considers the charging load of electrical vehicles as a controllable load to participate in the operation optimization. Energy demands of a residential quarter are uncertain, and various decision-makers may have different risk preferences in determining optimal operation strategies. With this consideration, this paper employs the information gap decision theory (IGDT) to develop the robust optimization model and the opportune-windfalling model respectively, in order to obtain the scheduling strategy of risk-aversion decision-makers and risk-preference decision-makers. And then, this paper constructs the mixed integer linear programming model and adopts the CPLEX to solve the model. Finally, a residential quarter is employed to demonstrate the essential characteristics of the developed model and method.

Key words: residential quarter energy hub, electric vehicle charging, information gap decision theory (IGDT), robust optimization model, opportune-windfalling model

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