Cogeneration unit load optimal distribution method based on improved multi-target cuckoo search algorithm
A cogeneration unit and cuckoo search technology, applied in the field of power system, can solve problems such as failure to meet dispatching requirements, failure to comprehensively consider heating benefits and peak shaving compensation benefits of thermal power companies, and achieve good diversity and fast convergence speed. Effect
Pending Publication Date: 2022-01-21
ZHEJIANG UNIV
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Problems solved by technology
[0004] The traditional EELD problem only seeks the optimum in terms of operating costs and environmental pollution control under the constraints of the system, without comprehensively considering the heat supply revenue and peak regulation compensation revenue of thermal power enterprises, which can no longer meet the actual dispatching requirements
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Embodiment Construction
[0070] as attached figure 1 As shown, the optimal load distribution method of cogeneration units based on IMOCS includes the following steps:
[0071] Step 1: Obtain the operation data of cogeneration units, the required data such as coal price, water price, unit price of electricity sales, unit price of heat sales, peak shaving compensation measures, etc.
[0072] Step 2: Establish the unit heat supply income, power generation income, peak compensation income, operating cost calculation model, and establish a multi-objective optimization function model that maximizes operating income and minimizes pollutant emissions, that is, comprehensively considers operating income and pollutant emissions. A multi-objective load optimal distribution model, the operating income objective function of the optimal load optimal distribution model is:
[0073] max C t =C h +C g +C c -C
[0074] Among them, C t is the total operating revenue of the unit during the peak-shaving period T, y...
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The invention belongs to the field of power systems, and relates to a cogeneration unit load optimal distribution method based on an improved multi-target cuckoo search algorithm. According to the method, a target function model considering operation income maximization and pollutant emission minimization of peak regulation income is established for a header system combined heat and power generation unit, the decision variable dimension of the problem is considered to be nt + mt dimension, the dimension of the optimization problem in practical application is basically more than 100 dimensions, the optimization problem belongs to a high-dimensional multi-target optimization problem, therefore, the improved multi-target cuckoo search algorithm is adopted for optimization, the convergence speed of the solutions is high, the solutions have good diversity, and the optimal scheme for mutual balance of the running income and pollutant discharge of the cogeneration unit can be obtained.
Description
technical field [0001] The invention belongs to the field of electric power systems, and relates to a method for optimizing load distribution of heat and power cogeneration units based on an improved multi-objective cuckoo search algorithm (Improved Multi-Objective Cuckoo Search, IMOCS). Background technique [0002] Emission Economic Load Dispatch (EELD) in power system is an important research topic in power economic dispatch. That is to say, in the case of not changing the status quo of the system and satisfying the system constraints, the fuel cost of power generation and the cost of environmental pollution control are considered to be optimal, and the load is allocated reasonably. [0003] In recent years, in order to improve the energy utilization efficiency of fuel and meet the growing heating demand of cities, thermal power plants mostly adopt the hybrid energy supply form of combined heat and power, and generally adopt the operation mode of "heat-based power". This...
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Login to View More IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q50/06Y02E40/70Y04S10/50
Inventor 李蔚卫治廷陈坚红盛德仁吴懿范吴恺逾
Owner ZHEJIANG UNIV