文章摘要
栗子豪,吴文传,朱洁,等.基于机会约束的主动配电网热泵日前调度模型及可解性转换[J].电力系统自动化,2018,42(11):24-31. DOI: 10.7500/AEPS20170825007.
LI Zihao,WU Wenchuan,ZHU Jie, et al.Chance-constrained Model for Day-ahead Heat Pump Scheduling in Active Distribution Network and Its Tractability Transformation[J].Automation of Electric Power Systems,2018,42(11):24-31. DOI: 10.7500/AEPS20170825007.
基于机会约束的主动配电网热泵日前调度模型及可解性转换
Chance-constrained Model for Day-ahead Heat Pump Scheduling in Active Distribution Network and Its Tractability Transformation
DOI:10.7500/AEPS20170825007
关键词: 主动配电网  热泵  日前调度  机会约束
KeyWords: active distribution network  heat pump  day-ahead scheduling  chance constraint
上网日期:2018-05-04
基金项目:国家自然科学基金资助项目(51477083);国家电网公司重点科技项目(5202011600U4)
作者单位E-mail
栗子豪 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
吴文传 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
wuwench@tsinghua.edu.cn 
朱洁 国网北京市电力公司电力科学研究院, 北京市 100075  
丁屹峰 国网北京市电力公司电力科学研究院, 北京市 100075  
杨烁 国网北京市电力公司电力科学研究院, 北京市 100075  
张伯明 清华大学电机工程与应用电子技术系, 北京市 100084
电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084 
 
摘要:
      采暖热泵的大规模接入导致当地配电网需要大面积扩容改造,而采暖负荷日峰谷差大,因此设备利用率低。为了降低配电网扩容成本,提高设备利用率,需要研究有序用电策略。作为有序用电策略的重要组成环节,热泵日前调度决策面临很强的源荷预测不确定性。文中提出了一种基于机会约束的热泵日前调度模型,可以有效处理源荷不确定性。进一步将该机会约束模型转化为确定性混合整数二阶锥规划模型,可被有效求解。算例系统测试表明,该优化调度策略可在保证室内温度舒适度的前提下降低配电网和相关台区的峰谷差。
Abstract:
      The large-scale heat pump access leads to the need for large-scale expansion and transformation of local distribution network. Since the peak-valley difference of daily heating load is big, the utilization rate of the equipment is low. In order to reduce the cost of distribution network expansion and improve the utilization rate of equipment, the strategy for orderly power consumption needs to be studied. As an important part of the strategy for orderly power consumption, the decision-making of day-ahead heat pump scheduling is facing a strong uncertainty of source-load forecasting. This paper proposes a chance constrained model for the day-ahead heat pump scheduling, which can effectively handle those source-load uncertainties. Furthermore, the chance constrained model is transformed into a deterministic mixed-integer second-order cone programming model, so it can be efficiently solved. The example system test shows that the optimal scheduling strategy can reduce the peak-valley difference of distribution network and related courts under the premise of ensuring indoor temperature comfort.
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