考虑储能调度的可再生能源独立微电网电源规划

Generation planning for renewable energy isolated micro-grid considering energy storage dispatching

可再生能源发电的随机性以及储能调度的时序性,是对微电网电源规划的最大挑战,文章研究独立微电网中风/光/储能和可控电源的组合优化规划方法。以风电和光伏的历史数据挖掘为基础,建立马尔科夫链-蒙特卡洛模型,模拟风电和光伏出力时间序列;文中提出一种能够有效模拟源/储/荷日级调节行为,计算简单的运行调度策略,从而大幅降低了微电网长期运行模拟的计算量,构建了综合考虑可靠性和经济性的独立微电网电源优化配置模型,采用启发式搜索与自适应惯性权重粒子群算法相结合的电源优化配置求解算法进行求解,并以巴基斯坦某社区型独立微电网作为算例验证了所提模型和算法的有效性。

The randomness of renewable energy generation and the time-sequence characteristics of energy storage dispatching bring great challenges to the generation planning of the isolated micro-grid.This paper focuses on the combined optimization planning method of wind power/photovoltaic/energy storage and controllable generation in isolated micro-grid.Firstly,the Markov-chain Monte Carlo models are set up based on the historical data to simulate the wind power and PV output time series.Then,it proposes a daily operation scheduling strategy that can effectively simulate the source/storage/loading day-level adjustment behavior with simple calculation,thus greatly reducing the calculation amount of the long-term simulation of the micro-grid.Finally,an optimization model considering reliability and economy objectives is constructed for the generation planning of isolated micro-grid,and a combined algorithm with heuristic searching and adaptive-inertia-weight particle swarm algorithm is proposed to solve the problem.The effectiveness of the proposed algorithm and model are verified by an example of community-based isolated micro-grid in Pakistan.