An optimal scheduling method based on a multi-objective medium- and long-term stochastic scheduling model for cascade reservoir ecological power generation
A cascaded reservoir and random scheduling technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as poor ecological power generation scheduling effects of reservoirs
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Embodiment 1
[0082] The embodiment of the present invention provides a method for constructing a multi-objective medium- and long-term stochastic dispatch model for cascade reservoir ecological power generation, including:
[0083] S1: According to the water level and power generation of the reservoir, construct the objective function of the closeness degree of power generation of cascade reservoirs:
[0084]
[0085]
[0086]
[0087] In the formula: N is the total number of reservoirs; T is the total number of time periods in the scheduling cycle, is the expected value of the total power generation in the cascade reservoir dispatching period, the unit is kW h, E sj is the product of the total installed capacity of cascade reservoirs and the length of a dispatch cycle, in units of kW h, A i is the comprehensive output coefficient of the i-th reservoir; H i,t is the average power generation water head of the i-th reservoir in the period t, and the unit is m; its solution formul...
Embodiment 2
[0111] This embodiment provides an optimal dispatching method, which is implemented based on the multi-objective medium- and long-term random dispatching model of cascade reservoir ecological power generation constructed in Embodiment 1. The optimal dispatching method includes:
[0112] S1: Use random inflow runoff sequences with Markov properties to represent the inflow of water in different stages of reservoirs in cascade reservoirs, and use conditional probability to represent the probabilistic relationship between inflow runoff in the two periods before and after. At the same time, according to Peel The random value of inflow runoff corresponding to various probabilities can be obtained by simulating the method of inferior type Ⅲ probability distribution;
[0113] S2: Calculate the suitable ecological flow of the river by using the ecological water demand grade index method;
[0114] S3: The medium and long-term scheduling cycle is one year, and a cycle is divided into 12 ...
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