Regional energy network optimal dispatching method based on energy cell architecture

Abstract

The invention provides a regional energy network optimal dispatching method based on an energy cell architecture, and belongs to the field of power grid dispatching. According to the method, individuals taking energy cells as units in a regional energy network are divided into a regional layer and a cell layer, the elements in the layers are converted into intelligent agents, the regional layer and the cell layer are organically integrated by utilizing an intelligent agent dispatching strategy considering an electricity price mechanism, and thus, the problem that decision chaos is easily caused by coordination of multiple subjects in the regional energy network is solved. An energy cell state detection method is also adopted, corresponding dispatching methods are formulated for different energy cell state detection results, and wind power consumption is carried out while a reasonable dispatching scheme is generated for a regional energy network under complex operation conditions. According to the method, factors such as economic operation, new energy consumption and efficient utilization of energy storage devices are comprehensively considered, and multi-energy complementation andcollaborative optimization of the regional energy network are realized.

Description

technical field [0001] The invention belongs to the field of power grid dispatching, and in particular relates to an optimal dispatching method for a regional energy network based on an energy cell architecture. Background technique [0002] As the issue of sustainable development has become the focus of attention of all countries in the world, the development and utilization of renewable energy has been increasing, and wind power has become the most widely used and largest renewable energy in the world because of its low cost and mature technology. Energy generation technology. The winter climate in the "Three North" region is relatively cold, and industrial production and people's lives are inseparable from the guarantee of heating. The heat source for district heating mainly comes from cogeneration units of thermal power enterprises and regional coal-fired boilers. Gas and electric heating The proportion of distributed heat sources is small. Due to the seasonal and time...

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Problems solved by technology

Due to seasonal and time characteristics, the peak periods of wind power and heat load highly overlap in time. As the "bridge" of the "electricity-heat" system, the attributes of the combined heat and power unit as a heat supply source and the "heat-based power" feature The operation mode limits the lower limit of its power output, resulting in a reduction in its peak-shaving capability, and the space for wind power to be connected to the grid is compressed

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