Energy scheduling optimization method for combined cooling, heating and power microgrid system
A technology of combined cooling, heating and power supply and energy scheduling, which is applied in data processing applications, forecasting, instruments, etc., and can solve problems such as increased load demand, non-negligible randomness, and no consideration
Active Publication Date: 2021-02-05
HEFEI UNIV OF TECH
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However, due to the fact that the penetration rate of renewable energy is getting higher and higher, and the user load demand is increasing, the randomness in the system cannot be ignored; the other is to transform the randomness problem into a deterministic problem through forecasting or statistical methods solution, but the disadvantage is that the optimization strategy obtained by this method does not consider the impact of the unpredictability of the environment and load changes in actual conditions
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[0050] In this embodiment, an energy scheduling optimization method for a combined cooling, heating and power supply microgrid system is applied to such as figure 1 The micro-grid system of combined cooling, heating and power supply shown includes: energy management system, photovoltaic, micro gas turbine unit, gas boiler, electric energy storage device, thermal energy storage device, and electric cooling, electric heating and thermal cooling device; energy management The system obtains the output and power demand of each part through detection and communication equipment at the moment of sampling decision; the combined cooling, heating and power supply micro-grid system is connected to the large power grid through public nodes, and the power price of the large power grid is divided into high and low power prices according to the principle of time-of-use electricity price Interval; Considering the stochastic uncertainty of photovoltaic, cooling load, heating load and electric l...
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The invention discloses an energy scheduling optimization method for a combined cooling, heating and power supply microgrid system, which includes: 1. Obtaining the state vector of the system at the current decision-making moment according to the measurement data and prediction results; 2. Dividing all decision-making cycles into optimization non-learning cycles and learning period, in the non-learning period, according to the electricity price, determine the operation of the system based on the principle of heat-fixed power or electricity-fixed heat, and calculate the average cost of operation during this period; The average cost is used to obtain the optimal Q value table, and then the optimization strategy is obtained. The invention can fully consider the statistical characteristics and uncertain characteristics of random variables, thereby improving the economic efficiency of the actual operation of the system.
Description
technical field [0001] The invention relates to the field of optimal scheduling of a combined cooling, heating and power supply microgrid system, in particular to an energy scheduling optimization method for a combined cooling, heating and power supply microgrid system. Background technique [0002] Due to the energy crisis and environmental pressure, energy conservation and emission reduction has become an increasingly important research topic in various fields. The micro-grid system of combined cooling, heating and power technology can not only improve the penetration rate of renewable energy, but also use some of the waste heat generated in the power generation process to meet the cooling and heating needs of users, realize the stepped utilization of energy, and save transmission costs at the same time. Meet diverse energy needs. [0003] However, since the CCHP microgrid system involves the matching of supply and demand of multiple types of energy, various distributed e...
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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 唐昊李怡瑾吕凯郭晓蕊许丹
Owner HEFEI UNIV OF TECH