Hydropower station deterministic optimal operation method based on reference line

Abstract

The invention discloses a hydropower station deterministic optimal operation method based on a reference line and belongs to the technical field of hydropower. The hydropower station deterministic optimal operation method comprises the following steps that (1) a scheduling period is determined, and constraint conditions in the scheduling period are set; (2) a reservoir deterministic long-term optimal operation maximum generating capacity model is established; (3) based on the principle of reducing abandoned water energy and the loss of entering energy, an anti-abandoned-water line and a minimum decision boundary line are obtained; (4) the anti-abandoned-water line is correspondingly adjusted, and the optimal operation reference line is determined; (5) according to the optimal operation reference line, an optimal decision is obtained and used for guiding operation of a hydropower station. According to the hydropower station deterministic optimal operation method, experience of an expert and a reservoir operation rule are fused, and the method can be easily understood and grasped by operation personnel; a corresponding decision can be made at any moment according to the current water storage state of the hydropower station, and the hydropower station deterministic optimal operation method has a higher executable performance and a greater guiding significance.

Description

technical field [0001] The invention belongs to the technical field of water conservancy and electric power, and more particularly relates to a deterministic optimal dispatching method for a hydropower station based on a reference line. Background technique [0002] Optimal scheduling of hydropower stations is a typical multi-objective, multi-stage nonlinear problem. In the long-term dispatching of hydropower stations, the maximum power generation model is usually established, and the dynamic programming method and its improved algorithm are used to solve the problem. The improved algorithm mainly includes step-by-step optimization method, dynamic programming successive approximation method, state-by-density dynamic programming method and incremental dynamic programming method. Wait. Although these methods can obtain optimal or near-optimal solutions, they are exhaustive in nature, and the optimization results are poorly interpretable and difficult for schedulers to underst...

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Problems solved by technology

Although these methods can obtain optimal or near-optimal solutions, they are exhaustive in nature, and the optimization results are poorly interpretable and difficult for schedulers to understand, and what is obtained is only a solution of the problem rather than a set of rules. limited ability to direct

Affected by the cumulative deviation of hydropower station operation, load demand deviation and runoff forecast deviation, the operating state of the hydropower station will deviate from the original optimal plan. At this time, the original optimal plan has lost its optimality and has no guiding significance

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