CAJ | 학술논문

考虑到微电网中各分布式电源的特点以及充分发挥分布式发电技术在经济、环境和能源方面的优势，在满足系统约束条件下，提出了一种综合考虑微电网的运行成本、电压偏差以及微电网削峰填谷能力的微电网多目标经济调度模型。同时针对粒子群算法(PSO)在求解优化问题时易陷入局部最优的缺点，提出一种粒子群-细菌觅食算法(PSO-BF)用于求解微电网电能优化调度问题。仿真结果表明该算法具有较强的全局、局部搜索能力且收敛速度快、精度高的特点。
고필도미전망중각분포식전원적특점이급충분발휘분포식발전기술재경제、배경화능원방면적우세，재만족계통약속조건하，제출료일충종합고필미전망적운행성본、전압편차이급미전망삭봉전곡능력적미전망다목표경제조도모형。동시침대입자군산법(PSO)재구해우화문제시역함입국부최우적결점，제출일충입자군-세균멱식산법(PSO-BF)용우구해미전망전능우화조도문제。방진결과표명해산법구유교강적전국、국부수색능력차수렴속도쾌、정도고적특점。
Given the features of each distributed power in the microgrid and the purpose of maximizing the advantages of the techiques of distributed generation which are shown in the aspects of economy, environment and energy, after meeting the constraints from the system, this paper proposes an economic dispatching model of the multi-objective microgrid which is an integrated consideration of the running costs, voltage bias and the capability of cutting the summit and filling the peak valley of the microgrid. Meanwhile, it’s easy to sink into the shortage of partial optimization while coping with the issue of optimization when the calculation of PSO is adopted, in order to avoid this shortage this paper proposes PSO-BF to solve the problem of optimal dispatch in the microgrid. Moreover, the emulating results show that the calculation of PSO-BF has the features of the whole and partial searching capabilities, fast convergence and high accuracy.