Multi-objective optimization operation with corrective control actions for meshed AC/DC grids including multi-terminal VSC-HVDC |
| |
Affiliation: | 1. Institute of Electric Energy Systems and High-Voltage Technology (IEH), Karlsruhe Insitute of Technology (KIT), Karlsruhe, Germany;2. TransnetBW GmbH, Stuttgart, Germany;1. Tocantins Federal University, Undergraduate Computation Sciences Course, ALC NO 14 (109 Norte), C.P. 114, CEP 77001-090 Palmas, Brazil;2. Rio de Janeiro Federal University, Computing and Systems Engineering Department, Caixa Postal 68511, CEP 21945-970 Rio de Janeiro, Brazil;3. Rio de Janeiro Federal Rural University, Technology and Languages Department, Rua Capito Chaves, N 60, Centro, Nova Iguau, Rio de Janeiro CEP 26221-010, Brazil;4. Ceará Federal University, Department of Statistics and Applied Mathematics, Campus do Pici, CEP 60455-760 Fortaleza, Brazil |
| |
Abstract: | This paper presents a multi-objective optimal operation of meshed AC/DC power grids including multi-terminal voltage-source-converter-based high-voltage direct current (VSC-MTDC) systems. The proposed approach is modeled as a corrective security-constrained optimal power flow (CSC-OPF) problem, with the minimization of both the operation cost and power loss as the objectives. Moreover, it provides a cost-effective solution to assist in decision-making, and improves the system security during operation. The N ? 1 contingency security criterion is enforced for both AC and DC transmission networks, and corrective control is used to eliminate or alleviate post-contingency security violations. The corrective control actions used in this paper include not only secure operation control actions, but also economical post-contingency corrective control of the multi-terminal VSC-HVDC. To increase the computation speed, a contingency screening technique is applied to CSC-OPF by efficiently selecting the most severe case of the N ? 1 contingency, as obtained using a voltage security index (VSI). The proposed approach uses the non-dominated sorting genetic algorithm (NSGA-II) to find multi-objective OPF solutions by checking the post-contingency state feasibility while taking into account post-contingency corrective actions. Simulation results confirm the validity and effectiveness of this approach. |
| |
Keywords: | Contingency screening Corrective control action Multi-terminal VSC HVDC Non-dominated sorting genetic algorithm Security-constrained optimal power flow |
本文献已被 ScienceDirect 等数据库收录! |
|