Managing green Energy feed-in uncertainty for cost-efficient and reliable power system operation via AC CHance-constrained security constrained Optimal power flow (ECHO)

通过 AC CHance 约束的安全约束的最佳潮流 (ECHO) 管理绿色能源馈入的不确定性，实现经济高效且可靠的电力系统运行

• 批准号: 471229899
• 负责人: Professor Dr.-Ing. Pu Li
• 金额: --
• 依托单位: Institut für Automatisierungs- und Systemtechnik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/471229899?language=en
• 关键词: Managing; green; Energy; feed; uncertainty

The ECHO project focuses on the security-constrained (or contingency-constrained) optimal power flow (SCOPF), aiming at improving the decision-making for day-ahead planning of power system operation, i.e., to ensure a cost-efficient and reliable power system scheduling for every hour of the next day. In addition, power systems are facing increasingly uncertain operation conditions, due to growing amounts of fluctuating renewable generation. The deterministic version of SCOPF, which fits only the most likely forecasted scenario, is not anymore suitable since it may lead to either sub-optimal or unreliable/risky operating conditions. To overcome this limitation, the ECHO project will develop a new SCOPF approach which manages the uncertainty via chance constrained optimization that enforces the set of constraints to satisfy a user-defined probability level. To this end, we resort to the inner-outer approximation method, which is a new method recently developed by the applicants in the area of chance constrained optimization. The very few existing works on this topic were based on the questionable AC grid model approximation as a linear direct current (DC) model (whose optimal control actions could be infeasible for real operation of the network as reactive power and bus voltages variations are ignored) and were applied to small systems. Unlike these previous works, the ECHO project is leveraged for the first time to the accurate fully nonlinear AC grid model for a medium size power systems (e.g. at country level). The project will comprehensively explore the aspects and implications of adopting chance constraints for security management. The ECHO project will demonstrate that a comprehensive SCOPF approach to security management of power system operation under uncertainty is indeed possible and this will lead to a better trade-off between optimality and reliability in the presence of a large penetration of renewable generation. We expect that this approach would be of interest to academia, utilities, and software developers, and it could support policy making of the network operators during the energy transition phase.

ECHO项目关注的是安全约束（或应急约束）最优潮流（SCOPF），旨在改进电力系统运行的日前规划决策，即确保第二天每小时的电力系统调度具有成本效益和可靠性。此外，由于可再生能源发电量的波动越来越大，电力系统正面临越来越不确定的运行条件。SCOPF的确定性版本只适合最可能的预测场景，不再适合，因为它可能导致次优或不可靠/有风险的操作条件。为了克服这一限制，ECHO项目将开发一种新的SCOPF方法，该方法通过机会约束优化来管理不确定性，该优化强制执行约束集以满足用户定义的概率水平。为此，我们采用了内外近似法，这是最近申请者在机会约束优化领域发展起来的一种新方法。关于该主题的现有工作很少是基于有问题的交流电网模型近似作为线性直流（DC）模型（其最优控制动作对于网络的实际运行是不可行的，因为忽略了无功功率和母线电压变化），并应用于小型系统。与之前的工作不同，ECHO项目首次利用了中等规模电力系统（例如在国家一级）的准确的全非线性交流电网模型。该项目将全面探讨采用机会约束进行安全管理的各个方面和含义。ECHO项目将证明，在不确定的情况下，对电力系统运行的安全管理采用全面的SCOPF方法确实是可能的，这将在可再生能源发电大量渗透的情况下，在最优性和可靠性之间实现更好的权衡。我们预计，这种方法将引起学术界、公用事业公司和软件开发商的兴趣，它可以在能源转型阶段支持网络运营商的政策制定。