In order to improve the absorption capacity of the combined cooling heating and power microgrid for renewable energy and solve the problem that the uncertainty of source-load reduces the stability of system operation,a three-stage hybrid time-scale rolling optimization method with hierarchical energy storage was proposed.The day-ahead optimization goal was the lowest daily operating cost;the intra-day upper layer model optimized the cold and heat energy with the goal of minimizing the fuel cost and the penalty cost of power change in the heat storage section;the lower model taked the lowest grid interaction cost and battery power variation penalty cost as the optimization objective to optimize the electric energy.The real-time electrical system feedback taked the minimum peak load shifting effect and power fluctuation of the electrical system as the optimization goal;the optimal output plan of each equipment in the system was obtained.The results show that the optimization method and hierarchical energy storage can effectively achieve the effect of peak shaving and valley filling,and the power fluctuation rate of each equipment is at a low level.The daily operating cost on typical winter days is lower than the day-ahead cost.
关键词
冷热电联供型微电网/分层储能/滚动优化/分时间尺度/运行优化
Key words
combined cooling heating and power microgrid/hierarchical energy storage/rolling optimization/hybrid time scale/operation optimization
维普
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