工业园区微网调度研究与仿真

为提高新能源消纳能力和供电经济性、可靠性，研究了含风光柴储、生活负荷、具有有限可控能力工业负荷的工业园区微电网，提出了一种基于日前和日内相结合的优化调度方案。为保证日前优化调度的经济性，提出了一种分段变异优化的改进粒子群算法求解调度模型。改进算法相较于传统粒子群算法收敛性速度更快，同时提高了经济性，减少了园区的运行成本。日内运行时，为了校正日前预测偏差，采用源网荷储共同参与调整，保证尽可能跟随日前经济结果，提高微网系统的可靠性。日内调整建立详细化的仿真模型，采用实时仿真技术。利用实时仿真软件RT-LAB和实时仿真机OP4510构建的实时仿真平台，解决模型仿真用时较长、求解困难的问题，验证了工业园区微网调度策略的可行性。

Research on and simulation of microgrid scheduling in an industrial park

To promote new energy consumption capacity and economy and reliability of power supply, an industrial park microgrid with wind, solar, diesel, storage, living load and limited controllable industrial load is studied. An optimal scheduling scheme based on the combination of day-ahead and intraday is proposed. To ensure the economy of day-ahead scheduling, an improved particle swarm optimization algorithm with segmented mutation optimization is proposed to analyze the scheduling model. Compared to traditional particle swarm optimization, the improved algorithm has faster convergence speed, while improving economy and reducing the operating cost of the park. When running on the intraday, to correct the deviation in the day ahead prediction, the source, network, load and storage are jointly involved in the adjustment to ensure that the economic results, as much as possible, are followed and to improve the reliability of the microgrid system. Then, it establishes detailed simulation models within intraday using real-time simulation technology. A real-time simulation platform is constructed using real-time simulation software (RT-LAB) and machine (OP4510), to solve the problem of long simulation time and difficulty and verify the feasibility of the industrial park microgrid scheduling strategy.