Hybrid new energy power system set combination optimization method

Abstract

The invention discloses a hybrid new energy power system set combination optimization method. The method comprises the following steps: step 1, establishing a new energy power system set combination scheduling mathematic model, wherein this step includes establishment of a new energy set optimization scheduling target function, by taking set switch states and power of each set as an input quantity and set operation cost as an output quantity, the target function is shown in the descriptions, minF is a target function when the system operation cost is the smallest, T is a period number of scheduling periods, N is a set number, I<i,t> is an operation state of a set i at t time, when the set is booted, I<i,t>=1, when the set is shut down, I<i,t>=0, P<i,t> is generating power of a thermal power set i at t time, f(P<i,t>) is a generating cost of the thermal power set i at the t time, and S is a starting cost of the thermal power set i; and arrangement of constraint conditions; and step 2, carrying out optimization searching calculation on the mathematic model in the first step by use of a heuristic optimization algorithm. The method provided by the invention has the following advantages: the algorithm is simple in structure, the optimization searching capability of the target function is high, the iteration convergence speed is fast, and the algorithm has quite good stability.

Description

technical field [0001] The invention belongs to the technical field of hybrid new energy power system dispatching, and more specifically relates to a method for optimizing unit combination of a hybrid new energy power system. Background technique [0002] The traditional power system plays an important role in national production and life, but with the improvement of people's environmental requirements and the proposal of the national sustainable development strategy, energy conservation and emission reduction will become the wind vane of China's energy strategy, so the new energy power system is gradually step into our field of vision. [0003] Wind energy and photovoltaic power generation occupy a large proportion in the new energy power system. Due to the significant randomness of wind energy and photovoltaic power generation, such power sources will inevitably affect the stability of the traditional power system after they are connected to the power system. Introducing ...

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Problems solved by technology

The dynamic programming method is prone to "dimension disaster"; the priority method has poor solution accuracy; the genetic algorithm needs to perform replication, crossover and mutation operations, the evolution speed is slow, and it is prone to premature convergence, and its performance has a large dependence on parameters ; The PSO algorithm has the disadvantages of being premature and falling into local minima in solving complex optimization problems

These defects may cause the algorithm to fail to obtain the optimal power generation consumption of the hybrid new energy power system

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