研究目的
Investigating the contribution of photovoltaic plants in load frequency control of power systems using a model predictive control-based approach.
研究成果
The proposed MPC-based strategy for power control of PV stations effectively enhances the AGC's capability of a three-area interconnected power grid. The areas frequency deviations and ACE signal fluctuations are mitigated efficiently compared to PI-based PV-AGC coordinated controller and the state without any PV stations in the power system.
研究不足
The study focuses on a specific three-area interconnected power system and may not account for all possible variations in power system configurations and operating conditions. The effectiveness of the proposed scheme is demonstrated through simulations, which may not fully capture real-world complexities.
1：Experimental Design and Method Selection:
The study employs a model predictive control (MPC)-based approach for power control of PV plants contributing towards load frequency control (LFC). The MPC utilizes an internal model to predict future plant outputs based on past and current values of inputs and outputs.
2：Sample Selection and Data Sources:
The test system is an interconnected three-area power grid with PV plants installed in Area #1 and #
3：List of Experimental Equipment and Materials:
PV modules, MPC controllers, and a three-area interconnected power system.
4：Experimental Procedures and Operational Workflow:
The MPC controller generates control signals to optimize a cost function that includes the plant model and current and past signals of the system. The weights of the MPC are adjusted using the sine cosine algorithm.
5：Data Analysis Methods:
The performance of the proposed strategy is evaluated through case studies involving step load change and random load change scenarios.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
