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A method of constructing a displaceable load model considering both environmental costs and rear-time electricity bill

机译:同时考虑环境成本和滞后电费的可移动负荷模型的构建方法

摘要

The present invention transforms renewable energy into ecological costs that can be saved, combines the current rear-time electricity bill to obtain a new electricity bill model, obtains an optimized target load model, and a new displaceable load. Process large linear constrained integer quadratic programming models quickly and efficiently by building a model and solving a displaceable load model using the linear interactive general-purpose optimizer, the LINGO solver A method of constructing a displaceable load model that considers both the environmental cost and the rear-time electricity bill, which is faster and more efficient than conventional optimization algorithms such as the active set method, interior point method, and particle swarm algorithm I will provide a. By incorporating the model in the multi-target optimization scheduling of the microgrid, the grid power supply pressure at peak load is more effectively reduced, the peak power used by electric equipment is reduced, and the utilization rate of renewable energy is improved. Finally, the operational reliability and economic efficiency of the entire system can be improved. [Selection diagram] Figure 1
机译:本发明将可再生能源转化为可以节省的生态成本,结合当前的后备电费单以获得新的电费单模型,获得优化的目标负荷模型和新的可置换负荷。通过构建模型并使用线性交互式通用优化器LINGO求解器求解可位移负荷模型,快速高效地处理大型线性约束整数二次规划模型。LINGO求解器一种考虑环境成本和后方因素的可位移负荷模型的构建方法我将提供实时电费,它比传统的优化算法(如有效集方法,内点方法和粒子群算法)更快,更高效。通过将该模型纳入微电网的多目标优化调度中,可以更有效地降低峰值负荷时的电网供电压力,降低电气设备使用的峰值功率,提高可再生能源的利用率。最后,可以提高整个系统的运行可靠性和经济效率。 [选择图]图1

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