2results about How to "Fast optimization" patented technology

The invention discloses a method for batch equidistant adjustment of train operation plans of a CTC system based on a daily shift plan, and relates to the technical field of railway dispatching concentration. The method comprises the following steps: in response to a running line head node selected by a user, judging whether a preset condition is met; if yes, setting an adjustment range and an equidistant interval; loading the to-be-adjusted operation line meeting the condition according to the adjustment range; sorting the operation lines to be adjusted according to an increasing sequence of departure moments of the first nodes of the daily shift planning lines corresponding to the operation lines to be adjusted; synchronously traversing the sorted to-be-adjusted running lines and the corresponding daily shift planning lines, and performing batch equidistant adjustment calculation on each to-be-adjusted running line: if the departure time after equidistant adjustment is greater than the daily shift planning time, performing overall offset; otherwise, aligning to the daily shift plan time; and finally refreshing the running chart display. According to the invention, rapid and orderly adjustment of a large number of train operation plans is realized, delay propagation is effectively controlled, the workload of dispatchers is reduced, and the intelligent level of a CTC system is improved.

This application discloses a method and system for spot market bidding decisions in combined heat and power (CHP) power plants, relating to the technical field of CHP power plants. The method includes: acquiring operating data of the CHP unit and market data of the electricity spot market; constructing a heat-power coupling and coal consumption characteristic model based on the operating data and the market data, with rigid heat load supply parameters as the primary constraint; inputting the cleaned operating data and market data, along with energy conversion efficiency, energy consumption characteristics, and feasible domain of CHP output under different operating conditions, into a chaotic hierarchical gray wolf optimization algorithm to initialize the population and implement a hierarchical search strategy; defining a fitness function with profit maximization as the objective, solving for the optimal power output or optimal bid price, and guiding the CHP power plant in making bidding decisions regarding power generation or price. This application aims to solve the problems of unscientific bidding decisions and low profitability of CHP power plants in the electricity spot market.