In the dynamic world of renewable energy, the integration of wind power into the grid has been a double-edged sword. While it offers a clean and abundant energy source, the intermittent nature of wind poses significant challenges to power system dispatch. Enter Chunhua Peng, a researcher from the School of Electrical & Electronics Engineering at East China Jiaotong University, who has been delving into innovative solutions to stabilize this volatility.
Peng’s recent study, published in ‘Zhongguo dianli’ (China Electric Power), focuses on the optimal operation of a multi-source power generation system that includes an electric heater (EH) and a concentrating solar power (CSP) plant. The research addresses the uncertainty of wind power output by leveraging the regulatory capabilities of CSP and the wind power accommodation of EH. “By integrating these technologies, we can create a more stable and predictable power output,” Peng explains. “This not only enhances the reliability of the power system but also reduces the overall dispatch cost.”
The study introduces a novel approach to measure the uncertainty risk of dispatch cost using conditional value-at-risk (CVaR). This method allows for a more comprehensive assessment of the financial risks associated with power system operations. Peng’s team constructed an optimal operation model that minimizes comprehensive costs under multiple scenarios. To solve this complex model, they developed a differential evolution whale optimization algorithm with an elite archive strategy. This algorithm is designed to handle the intricacies of multi-source power generation systems efficiently.
The results of Peng’s research are promising. The proposed model and method demonstrate superior performance in stabilizing wind power output and reducing dispatch costs. Moreover, the study analyzes the impact of different confidence levels on scheduling results, providing valuable insights for power system operators. “Our findings suggest that by carefully managing the risk and optimizing the operation of these systems, we can achieve a more resilient and cost-effective power grid,” Peng notes.
The implications of this research are far-reaching. As the energy sector continues to shift towards renewable sources, the ability to integrate and stabilize wind power will be crucial. Peng’s work offers a roadmap for achieving this goal, potentially shaping future developments in power system operations. By providing a framework for optimal operation and risk management, this research could pave the way for more efficient and reliable renewable energy integration.
The study, published in ‘Zhongguo dianli’ (China Electric Power), underscores the importance of innovative solutions in addressing the challenges of renewable energy integration. As the energy landscape evolves, researchers like Peng will play a pivotal role in driving progress and ensuring a sustainable future.
