Model predictive control optimization scheduling method for combined heat and power microgrid based on hybrid energy storage
A technology of model predictive control and cogeneration, applied in load forecasting in AC networks, AC networks with energy trade/energy transfer authority, photovoltaic power generation, etc., can solve the problems of intermittency and volatility of renewable energy
Active Publication Date: 2022-05-20
NANCHANG UNIV
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[0004] The technical problem to be solved by the present invention is how to combine the hybrid energy storage technology and the model predictive control theory to optimize the multi-time scale scheduling of the cogeneration micro-grid, and at the same time consider the degradation cost of the hybrid energy storage, and formulate a suitable optimal scheduling scheme. Addressing issues posed by the intermittency and volatility of renewable energy
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[0138] For this embodiment, the energy allocation form of a typical combined heat and power system is selected, the day-ahead optimal scheduling is updated every 24 hours, the intraday rolling scheduling prediction time domain is 24 hours, the control time domain is 1 hour, the real-time scheduling prediction time domain is 1 hour, and the control time domain is 5 minutes, the real-time forecast data is obtained by setting a forecast error of 10%-50% on the basis of the previous forecast data. The electricity price adopts the time-of-use electricity price.
[0139] image 3 It is the result of day-ahead rolling scheduling. In the day-ahead rolling optimization, the impact of prediction error is not considered, and there is no need to consider the coordination of supercapacitors. Figure 4 It is the scheduling result of real-time adjustment of 10% prediction error. Supercapacitors are introduced to make up for the error. While not violating the day-ahead optimization schedulin...
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The present invention proposes a hybrid energy storage-based combined heat and power microgrid model predictive control optimization scheduling method: obtain the original parameters of the combined heat and power microgrid; establish a degradation cost model of hybrid energy storage; the battery participates in full-time scheduling control, super Capacitors are only used in real-time scheduling to stabilize wind and solar errors; construct a scheduling model with the objective function of minimizing the total operating cost of the system in the day-ahead optimization stage and intraday rolling optimization stage of the cogeneration microgrid, and minimize the power fluctuation penalty cost as the objective function in the real-time optimization stage The dispatching model of the combined heat and power microgrid system is established; the scheduling method of day-ahead optimization-intra-day rolling optimization-real-time optimization is used to optimize the scheduling, and the model is solved based on the improved firefly algorithm; the optimal scheduling plan of the real-time rolling output system. The invention optimizes and dispatches the cogeneration system of heat and power, can effectively cope with the online adjustment of wind and solar forecasting errors, does not deviate from the established operation plan, and operates safely and stably.
Description
technical field [0001] The invention relates to the field of integrated energy systems, in particular to a hybrid energy storage-based combined heat and power microgrid model predictive control optimization scheduling method. Background technique [0002] With the increase of energy demand and the aggravation of environmental problems, more and more attention will be paid to how to improve energy efficiency to achieve sustainable development in the future. Compared with conventional microgrids, combined heat and power microgrids are one of the most promising forms of energy systems, with functions such as heating and power supply, and higher joint operation efficiency. Combined heat and power micro-grid conducts unified planning and coordinated operation of different energy systems, and can flexibly provide a variety of energy needs. Through multi-energy complementarity and energy ladder utilization, energy utilization can be improved and environmental pollution can be reduc...
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IPC IPC(8): H02J3/00H02J3/32H02J3/38H02J3/26
CPCH02J3/003H02J3/008H02J3/32H02J3/381H02J3/26H02J2203/20H02J2300/24H02J2300/28Y02E40/50Y02E10/56
Inventor 黄鑫杨晓辉徐青山陈再星芮松宏李诗颖蔡英澜魏鹏张洋阳罗志将余杰
Owner NANCHANG UNIV