含光热的多源联合系统优化调度
Optimal Scheduling of Multi-Source Joint System with CSP
摘要: 近几年，我国风电、光伏发展规模不断增大，对风电、光伏发展较集中的西北地区而言，由于风电、光伏的容量急速增加及随机性给电网安全运行带来影响，使电网调度问题日益突出。本文在火电、风电、光伏联合发电系统中，加入光热发电，对含光热的多源联合发电系统建立优化调度模型。并采用基于精英策略的快速非支配排序遗传(The Elitist Non-dominated Sorting Genetic, NSGA-II)算法和鲸鱼算法(Whale Optimization Algorithm, WOA)的混合多目标优化算法对调度模型进行求解。通过仿真验证了加入光热合理调度，有效平抑了风电、光伏随机性引起的功率波动，并提高并网效益，增加新能源并网渗透率。
Abstract: In recent years, the scale of wind power and photovoltaic development in China has been increasing. For the northwest region where the development of wind power and photovoltaic is concentrated, the rapid increase in the capacity of wind power and photovoltaic and its randomness have an impact on the safe operation of the power grid, which makes the power grid dispatching problem increasingly prominent. In this paper, concentrating solar power (CSP) generation is added to the combined power generation system of thermal power, wind power and photovoltaic, and an optimal scheduling model is established for the combined power generation system with CSP. The elite strategy-based fast non-dominated sorting genetic (NSGA-II) algorithm and Whale Optimization Algorithm (WOA) are used to solve the scheduling model. Through simulation, it is verified that adding photothermal reasonable scheduling can effectively stabilize the power fluctuation caused by randomness of wind power and photovoltaic, improve the grid-connected benefits and increase the grid-connected penetration rate of new energy.
文章引用：罗童, 张兴平, 庞环. 含光热的多源联合系统优化调度[J]. 电力与能源进展, 2023, 11(1): 39-47. https://doi.org/10.12677/AEPE.2023.111005

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