基于Lagrangian松弛和Benders分解法的不同渗透率下电网投资运营策略研究

Study on investment and operation strategy of power grid under different permeability based on Lagrangian relaxation and Benders Decomposition

摘要:

为探讨不同可再生能源渗透情形下的电网投资、再调度与可再生能源（renewable energy source，RES）削减需求，本研究提出一种连续的电力市场、网络模拟方法。市场模拟代表整个目标年电力交易日前市场每小时的市场清算过程，网络仿真代表了输电系统运营商为确保电力系统的安全性和可靠性，在确定常规电厂的最优再调度命令和RES的削减命令时所起的作用。通过市场模拟和网络模拟分别迭代计算成本效益和由可靠性驱动的输电网投资需求，该方法不仅可以研究RES的间歇特性所带来的网络约束，而且可以获得正确的规划和运行方案。此外，文章利用Benders分解技术和增广拉格朗日松弛法，在满足仿真约束的前提下，求解目标年的优化问题。最终，针对2030年罗马尼亚电力系统进行了案例分析，验证了所提方法的有效性。

Abstract:

AbstractThis study proposes a consecutive market and network simulation approach to investigate grid investment, re-dispatch, and renewable energy source (RES) curtailment requirements under various RES penetration scenarios. Market simulation represents market clearing process in power-exchange day-ahead markets hourly for the entire target year. Network simulation represents the role of transmission system operators in determining optimum re-dispatch orders to conventional power plants and curtailment orders to RES, in order to ensure the security and reliability of the power system. Cost-benefit and reliabilitydriven transmission grid investment requirements are calculated iteratively by market and network simulations, respectively. The proposed approach enables the investigation of not only network constraints introduced by the intermittent characteristics of RES power plants but also proper planning and operational solutions. Benders decomposition technique along with augmented Lagrangian relaxation is utilized to solve the problems along the target year, while satisfying constraints connected with the simulations. Numerical case studies of the Romanian power system in 2030 are performed to verify the effectiveness of the method.