Distributed multi-energy system rolling optimization control method considering non-ideal communication condition

Abstract

The invention discloses a distributed multi-energy system rolling optimization control method considering a non-ideal communication condition. The distributed multi-energy system rolling optimization control method comprises the following steps: 1, reading latest RES power and load prediction data at the initial moment of each time scale delta tau; 2, rolling optimization of a delta tau time scale is carried out according to the information in the step 1; 3, entering a short time scale delta tau'dynamic adjustment part, and monitoring and updating data; 4, judging whether the deviation delta Pit[au]' between the predicted value and the true value exceeds a threshold value xii or not, if the delta Pi[tau]' is less than or equal to the [epsilon]i, jumping to step 5, otherwise, jumping to step 6; 5, executing a calculation result of large-time-scale rolling optimization; 6, according to the latest updated data, performing dynamic adjustment and optimization, and adjusting a strategy; 7, updating time, wherein tau'= tau' + delta tau'; and 8, if the moment tau' reaches the next time interval tau + delta tau, jumping to the step 1, otherwise, jumping to the step 3. According to the method, the problems of uncertainty and energy flow delay characteristics in a distributed decision-making system are solved, and an optimal solution under a non-ideal communication condition is obtained.

Description

technical field [0001] The invention relates to the technical field of comprehensive energy, in particular to a rolling optimization control method for a distributed multi-energy system considering non-ideal communication conditions. Background technique [0002] Renewable and clean energy sources are effective ways to reduce the pollutants produced by traditional fossil fuel power plants. At present, more and more governments are committed to promoting and constructing integrated energy system (IMS) experimental projects to realize the comprehensive utilization of RES and clean energy. IMS can be divided into cross-regional systems and regional systems. Similar to power systems, the structure of these systems can be centralized or distributed. Distributed IMS can improve system efficiency and reliability, and reduce transmission loss. DIMS usually consists of natural gas system, thermal system, grid system, etc. It can be widely used in the consumption of distributed RE...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a rolling optimization control method for distributed multi-energy systems considering non-ideal communication conditions, which can solve the problems of uncertainty and energy flow delay characteristics in distributed decision-making systems. By improving the CCA algorithm , the strategy can obtain the optimal solution under non-ideal communication conditions

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