WEI Ziyu, ZHAO Shuqiang, LI Zhiwei, et al. Explicit and Implicit Decision Methods for Multi-period Optimization of the Frequency Constrained Unit Commitment Problem[J]. 2025, 45(20): 7919-7934.
DOI:
WEI Ziyu, ZHAO Shuqiang, LI Zhiwei, et al. Explicit and Implicit Decision Methods for Multi-period Optimization of the Frequency Constrained Unit Commitment Problem[J]. 2025, 45(20): 7919-7934. DOI: 10.13334/j.0258-8013.pcsee.240796.
Explicit and Implicit Decision Methods for Multi-period Optimization of the Frequency Constrained Unit Commitment Problem
受低惯量系统中高维不确定性与多类型跨时段约束的影响,忽略调度非预期性的频率安全调度方案无法保证其鲁棒性,更不足以充分发挥光热电站平抑不确定性出力、为系统提供频率支撑的潜能。首先,基于“箱式”边界下考虑光热电站(concentrating solar power,CSP)多工况运行状态的跨时段约束解耦方法,构建隐式决策方法下考虑动态频率安全的多时期优化模型;然后,基于无限维优化问题降维优化思想,提出适配于该模型结构的非确定列与约束生成算法;最后,结合显式决策方法下考虑动态频率安全的优化调度建模与求解方法,依托改进IEEE-30节点与IEEE RTS-118节点系统,讨论光热电站在低惯量系统中的频率支撑特性,同时验证两种模型在保证调度方案非预期性和鲁棒性方面的联系与适用性。
Abstract
Considering high-dimensional uncertainties and multi-type inter-temporal constraints in low-inertia systems
the frequency constrained unit commitment (FCUC) disregarding non-anticipatory regulation fails to ensure robustness and harnesses the potential of concentrating solar power (CSP) plants to accommodate uncertain output uncertainty and provide system frequency support. Firstly
we propose multi-period optimization models under the implicit decision method (IDM)
based on the box-format boundary-specific approach for decomposing inter-temporal generation constraints
which account for the multi-configuration states of CSP plants. Additionally
based on the dimensionality reduction technique for semi-infinite optimization problems (SOP)
we propose an efficient
implicit solution framework tailored to models
which utilizes an inexact column-and-constraint generation (I-C&CG) method. Finally
by integrating models and solution methods considering explicit decision methods (EDM)
simulation results on augmented IEEE 30- and IEEE RTS 118-bus test systems show frequency regulation characteristics of CSP plants in low-inertia systems and validate the relevance and applicability of the two proposed models in ensuring the non-anticipativity and robustness of the dispatch scheme.