Load demand management with high renewable energy penetration in distribution systems

配电系统中可再生能源渗透率高的负载需求管理

• 批准号: RGPIN-2016-04580
• 负责人: Chandra, Ambrish
• 金额: $ 2.99万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=688292
• 关键词: Load; demand; management; renewable; energy

Distributed Renewable Resources (DRRs) differ from conventional and fossil-fired resources in a fundamental way. Their sources (wind velocity and solar radiation in particular) cannot be controlled or stored. Further, renewable power generation often does not correlate with consumer load demand in real time due to its high intermittency. It may lead to one of the main causes of destabilizing the power system. In light of increased penetrations of these DRRs (50-60%) with the future grid, it will be difficult even for conventional power plants to participate effectively with great impact in maintaining stability of the network. In such reformed grid structure with high DRRs penetration, it will become a real challenging task to instantaneously predict and control total power generation in the entire grid. The operation of power grid will be more deliberately governed on the basis of DRRs generation rather than consumer loads demand. The main problems which may arise are increased voltage distortions in terms of flicker, sag, swell and its harmonic contents, frequency control etc. To solve such problems, solutions are presented in literature, such as, increased rating of a stand-by DG unit and employing storage system for maintaining deficit real time load demands.***The demand side management is alternative solution for mitigating intermittency of the DRRs in the power system. The load power consumption is controlled such that load demand follow power generation. Load demand management methods are classified as load scheduling, use of energy storage systems (ESS), direct on-off control of non-critical loads etc. However most of these methods are suitable for load management in time frame of hours. They do not work in real time, except with the use of ESS. Recently, electric spring (ES) concept has been proposed as a smart load for demand management in real time. However, it has not been analyzed very much in terms of its design, efficient control and its worthiness under high penetration of wind and solar PV generation with distribution systems. Moreover, in near future, energy demand is expected to increase rapidly in the sector of transportation to supply plug-in electrical vehicles (PEVs). These charging stations of PEVs may be used as flexible loads to stabilize the grid. ***In view of these challenges, there is an immediate requirement for detailed investigation for technologies with distribution system to mitigate intermittency of DRRs. The main objectives of the proposed research project are as follows,*** Design, modeling, control, implementation and performance evaluation of selected topologies of smart loads to achieve loss minimization, technical upgradation, size reduction under increased penetrations of DRRs.*** Design, modeling and control for scheduling the dispatch of parking stations for PEVs under increased penetrations of DRRs to improve grid stability and customer satisfaction. *****

分布式可再生资源（DRR）以基本方式与传统和化石式资源不同。它们的来源（尤其是风速和太阳辐射）无法控制或存储。此外，由于其高度间歇性，可再生能源发电通常与消费者负载需求无关。它可能导致破坏电力系统稳定的主要原因之一。鉴于这些DRR的渗透率增加（50-60％），即使传统发电厂也很难有效参与，并在维持网络的稳定性方面有很大的影响。在这种改革的网格结构中，DRR渗透高，即时预测和控制整个网格中的总发电量将成为一项真正的挑战。电网的运行将根据DRR的生成而不是消费者负载的需求来更故意管理。可能出现的主要问题是增加电压畸变，而闪烁，SAG，SWELL及其谐波内容，频率控制等来解决此类问题，解决了解决方案，例如，在文献中提出了解决方案，并提高了待机DG单元的额定额定和使用存储系统的评级，并采用了用于维持实时负载的缺陷式侧面管理系统。负载功耗得到控制，使负载需求跟随发电。负载需求管理方法被归类为负载调度，使用储能系统（ESS），直接对非关键负载的开关控制等。但是，这些方法中的大多数适用于时间范围。除了使用ESS外，它们不能实时工作。最近，Electric Spring（ES）概念被提议是实时需求管理的智能负载。但是，在风能和太阳能PV生成的高渗透率下，它的设计，有效的控制及其具有分配系统的高度渗透而言，它并未得到太多的分析。此外，在不久的将来，在供应插电式电动车辆（PEV）的运输领域预计能源需求将迅速增加。这些PEV的充电站可以用作稳定载荷以稳定网格。 ***鉴于这些挑战，对具有分配系统的技术进行详细研究以减轻DRR的间歇性。拟议的研究项目的主要目标如下：***设计，建模，控制，实施和绩效评估智能负载的选定拓扑结构，以实现损失最小化，技术升级，降低DRR的尺寸。 *****