在国家“数字经济”与“新基建”战略的双重推动下,近年来互联网数据中心(internet data center, IDC)快速发展并逐渐成为电力系统中重要新增负荷和需求响应(demand response, DR)资源。为支撑IDC与电力系统协调发展,提出了一种考虑灵...在国家“数字经济”与“新基建”战略的双重推动下,近年来互联网数据中心(internet data center, IDC)快速发展并逐渐成为电力系统中重要新增负荷和需求响应(demand response, DR)资源。为支撑IDC与电力系统协调发展,提出了一种考虑灵活性潜力的IDC与配电网双层协同规划框架。首先,根据IDC数据负荷及用电负荷特性建立IDC能耗模型,并从数据负荷的时空可迁移、可削减等角度分析了IDC灵活调节潜力。在此基础上,通过深入分析IDC与配电网之间的信息传递和互动关系,并考虑不确定性因素的影响,提出了以配电网运营商为上层领导者制定实时节点电价,数据中心运营商为下层跟随者基于实时电价参与DR的IDC优化选址和配置模型。该模型在充分考虑二者规划运行及价格的约束下,实现了上层净盈利最大化、下层成本最小化的双层协同规划。最后通过算例仿真和对比分析,证明了所提方法的有效性。展开更多
The volatile and intermittent nature of distributed generators(DGs) in active distribution networks(ADNs) increases the uncertainty of operating states. The introduction of distribution phasor measurement units(D-PMUs...The volatile and intermittent nature of distributed generators(DGs) in active distribution networks(ADNs) increases the uncertainty of operating states. The introduction of distribution phasor measurement units(D-PMUs) enhances the monitoring level. The trade-offs of computational performance and robustness of state estimation in monitoring the network states are of great significance for ADNs with D-PMUs and DGs. This paper proposes a second-order cone programming(SOCP) based robust state estimation(RSE) method considering multi-source measurements. Firstly, a linearized state estimation model related to the SOCP state variables is formulated. The phase angle measurements of D-PMUs are converted to equivalent power measurements. Then, a revised SOCP-based RSE method with the weighted least absolute value estimator is proposed to enhance the convergence and bad data identification. Multi-time slots of D-PMU measurements are utilized to improve the estimation accuracy of RSE. Finally, the effectiveness of the proposed method is illustrated in the modified IEEE 33-node and IEEE 123-node systems.展开更多
Parallel processing has become an important way to further increase the computationpower of the computer system. It is obviously desirable that the parallel computers couldallow easy, efficient and flexible use of par...Parallel processing has become an important way to further increase the computationpower of the computer system. It is obviously desirable that the parallel computers couldallow easy, efficient and flexible use of parallelism. Recently, technological factors areforcing a convergence towards parallel systems formed by a collection of essentially completecomputers connected by a communication network. This kind of network-based展开更多
文摘在国家“数字经济”与“新基建”战略的双重推动下,近年来互联网数据中心(internet data center, IDC)快速发展并逐渐成为电力系统中重要新增负荷和需求响应(demand response, DR)资源。为支撑IDC与电力系统协调发展,提出了一种考虑灵活性潜力的IDC与配电网双层协同规划框架。首先,根据IDC数据负荷及用电负荷特性建立IDC能耗模型,并从数据负荷的时空可迁移、可削减等角度分析了IDC灵活调节潜力。在此基础上,通过深入分析IDC与配电网之间的信息传递和互动关系,并考虑不确定性因素的影响,提出了以配电网运营商为上层领导者制定实时节点电价,数据中心运营商为下层跟随者基于实时电价参与DR的IDC优化选址和配置模型。该模型在充分考虑二者规划运行及价格的约束下,实现了上层净盈利最大化、下层成本最小化的双层协同规划。最后通过算例仿真和对比分析,证明了所提方法的有效性。
基金supported by the National Key R&D Program of China (No. 2020YFB0906000 and 2020YFB0906001)。
文摘The volatile and intermittent nature of distributed generators(DGs) in active distribution networks(ADNs) increases the uncertainty of operating states. The introduction of distribution phasor measurement units(D-PMUs) enhances the monitoring level. The trade-offs of computational performance and robustness of state estimation in monitoring the network states are of great significance for ADNs with D-PMUs and DGs. This paper proposes a second-order cone programming(SOCP) based robust state estimation(RSE) method considering multi-source measurements. Firstly, a linearized state estimation model related to the SOCP state variables is formulated. The phase angle measurements of D-PMUs are converted to equivalent power measurements. Then, a revised SOCP-based RSE method with the weighted least absolute value estimator is proposed to enhance the convergence and bad data identification. Multi-time slots of D-PMU measurements are utilized to improve the estimation accuracy of RSE. Finally, the effectiveness of the proposed method is illustrated in the modified IEEE 33-node and IEEE 123-node systems.
基金Project supported by the National Defense Commission of Sceince and Industry.
文摘Parallel processing has become an important way to further increase the computationpower of the computer system. It is obviously desirable that the parallel computers couldallow easy, efficient and flexible use of parallelism. Recently, technological factors areforcing a convergence towards parallel systems formed by a collection of essentially completecomputers connected by a communication network. This kind of network-based
