Multi-time-scale optimal scheduling method, system and storage medium for integrated energy system
An integrated energy system, multi-time scale technology, applied in energy storage, system integration technology, information technology support system, etc., can solve problems such as difficult online solution, complex optimal scheduling model of integrated energy system, etc., to meet real-time adjustment feedback Requirements, difficulty of reduction, effect of reducing actual operating error
Active Publication Date: 2022-07-12
HEFEI UNIV OF TECH
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[0004] The multi-time-scale optimal scheduling method, system and storage medium of the integrated energy system proposed by the present invention can solve the technical problem that the optimal scheduling model of the integrated energy system is complex and difficult to solve online
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[0114] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments.
[0115] like figure 1 As shown, the multi-time-scale optimal scheduling method for an integrated energy system described in this embodiment includes:
[0116] S100. Establish models of energy storage side, energy conversion side, energy storage side and load side according to the comprehensive energy system architecture;
[0117] S200. Based on the component models established in S100, according to the forecasted renewable energy output and load demand and electricity price and gas price information, the goal is to minimize the daily oper...
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The multi-time-scale optimal scheduling method, system and storage medium of an integrated energy system of the present invention include: establishing models of energy storage side, energy conversion side, energy storage side and load side according to an integrated energy system architecture; Day-ahead forecast information, gas purchase price, time-of-use electricity price, and a day-ahead optimization model aiming at the lowest daily operating cost of the integrated energy system; based on the day-ahead forecast information of intraday renewable energy and load, the lowest system operating cost and the start-stop penalty for each unit The intraday optimal scheduling model is established with the goal of minimum; according to the real-time forecast information, the final scheduling plan is obtained by using the distributed model predictive control algorithm to solve the minimum total adjustment amount of the system's controllable equipment at the next moment of the intraday scheduling plan. The invention adopts the distributed model predictive control algorithm to solve the scheduling model in the implementation stage, which can reduce the complexity of the model, reduce the difficulty of online solution, and can also take into account the control performance of the system.
Description
technical field [0001] The invention relates to the technical field of energy scheduling of an integrated energy system, in particular to a multi-time scale optimal scheduling method, a system and a storage medium of an integrated energy system. Background technique [0002] Integrated Energy System (IES) is a new type of energy system that integrates electricity, gas, cooling / heating and other energy sources and emphasizes the core position of electricity. The coordinated operation of multiple energy sources and mutual conversion improves the utilization efficiency of renewable energy. At the same time, the coupling of multiple energy sources makes the internal structure very complex, which brings great difficulties to the optimal scheduling analysis of IES. [0003] In the research of energy dispatching of integrated energy system, there are errors in the forecast of renewable energy and load, and the forecast errors gradually decrease with the decrease of time scale. The...
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IPC IPC(8): H02J3/46H02J3/00H02J3/28
CPCH02J3/466H02J3/003H02J3/004H02J3/28H02J2203/20Y02E70/30
Inventor 王磊周建平
Owner HEFEI UNIV OF TECH