Thermal and electric load economical efficiency optimization distribution method based on grey wolf algorithm
A technology that optimizes distribution and economy. It can be used in calculations, calculation models, electrical components, etc. It can solve problems such as non-convex optimization, high complexity, and nonlinearity, and achieve the effect of convenient operation, low complexity, and improved economy.
Pending Publication Date: 2021-11-26
XIAN THERMAL POWER RES INST CO LTD +2
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However, due to the operating characteristics of combined heat and power units, the optimal allocation of heat and power loads in combined heat and power plants is often a multi-extreme, nonlinear, non-convex optimization problem. When using traditional mathematical methods, it may lead to local optimal solutions or close to the optimal solution. It is difficult to converge in the optimal solution, so the problem of optimal distribution of heat and electricity cannot be solved in time, and the calculation complexity is high
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Embodiment 1
[0064] In order to further discuss the method used in the present invention, this embodiment selects a 7-unit power plant model including 4 pure condensing units, 2 heat and power cogeneration units and 1 pure heating boiler for optimization calculation. The parameters of the model are shown in Table 1 As shown, the thermal and electrical load characteristic curves of two cogeneration units are as follows image 3 and Figure 4 As shown, in this model, it is assumed that the dispatching demands of the power grid and heating network on the plant are P D = 600MW and H D = 150MWt / h.
[0065] Table 1
[0066]
[0067] According to Table 1, the cost function of each unit is nonlinear; according to image 3 and Figure 4 , the thermoelectric load feasible region of No. 5 and No. 6 units is a non-convex set, so the 7-unit model selected in the present invention is a highly constrained nonlinear and non-convex optimization problem, which has a good performance for the combined...
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The invention discloses a thermal and electric load economical efficiency optimization distribution method based on a grey wolf algorithm, which comprises the following steps: 1) under the condition of meeting thermal and electric load dispatching requirements of a power grid and a heat supply network and limiting conditions of operation of each unit, taking operation parameters of each unit in a plant as variables, and taking a target of minimum operation cost of a power plant as a target; establishing a heat and power load economical efficiency distribution mathematical model; and 2) solving the thermoelectric load economical efficiency distribution mathematical model based on the grey wolf algorithm, and then carrying out the optimal distribution of the thermoelectric load economical efficiency according to the solving result, so that the method can realize the optimal distribution of the thermoelectric load economical efficiency, and is relatively low in calculation complexity.
Description
technical field [0001] The invention belongs to the technical field of thermal power unit energy saving, and relates to a thermal power load economic optimization distribution method based on gray wolf algorithm. Background technique [0002] For a conventional pure condensing thermal power plant, the load optimization problem is to establish the relationship between the power generation cost of each pure condensing unit and the electrical load, and take the sum of the power generation costs of all units in the plant as the objective function to meet the requirements of electrical load distribution. The maximum economic benefit that can be achieved under various constraints. For combined heat and power plants, the load optimization problem needs to meet the load demand of the power grid and the heating network at the same time, so that the operation economy of the whole plant can be optimized, so it is called the heat and power load optimization problem. However, there is a...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/00G06N3/00
CPCG06Q10/04G06Q10/0631G06Q10/06315G06Q50/06G06N3/006H02J3/008H02J2203/20Y02E40/70Y04S10/50
Inventor 杨利栾俊张卫东文子强余小兵张民张斌刘学亮
Owner XIAN THERMAL POWER RES INST CO LTD