CAJ | 학술논문

针对用户侧分布式能源渗透率不断提高的发展趋势，提出一种包含光伏及储能设备的家庭能量协同调度策略。首先建立了家庭能量管理系统中的分布式电源模型和负荷模型，并提出了基于日前光伏出力预测和家庭负荷预测的家庭能量协同调度模型。然后，在满足用户舒适度约束的条件上，以家庭能源最大盈利为目标，采用二进制粒子群算法求解每日家庭最优用电计划，提高了可再生能源的利用率并做到光伏发电的最大就地消纳。最后，通过算例仿真比较不同用电模式下的用户收益，验证了模型的有效性。
침대용호측분포식능원삼투솔불단제고적발전추세，제출일충포함광복급저능설비적가정능량협동조도책략。수선건립료가정능량관리계통중적분포식전원모형화부하모형，병제출료기우일전광복출력예측화가정부하예측적가정능량협동조도모형。연후，재만족용호서괄도약속적조건상，이가정능원최대영리위목표，채용이진제입자군산법구해매일가정최우용전계화，제고료가재생능원적이용솔병주도광복발전적최대취지소납。최후，통과산례방진비교불동용전모식하적용호수익，험증료모형적유효성。
Considering the increasing tendency of penetration of distributed generators on the customer side,a co-scheduling strategy of home energy management with photovoltaic systems and energy storage devices is proposed.A distributed generation model and a load model for home energy management system are developed first,and then the co-scheduling strategy model of home energy management is presented based on day-ahead PV output prediction and load forecast. Household energy profit is maximized through optimal daily household consumption plans for improving the utilization of renewable energy and achieving the great degree of PV power consumption.The binary particle swarm algorithm is adopted and user comfort constraints are considered.The user benefits under different power utilization models are compared in case studies and the results show the model”s effectiveness.