Optimal Operation of CHP Combined Heat Generation Systems Using the Crow Search Optimization Algorithm

Energy efficiency of power plants is less than 60% However, the efficiency of the CHP units can be up to 90 %.CHP units in addition to high efficiency, They reduce environmental pollutants by 13 to 18 percent. The purpose of this thesis is to use the simultaneous power and power generation plants to reach the optimal economic destination for Genco And to maximize economic profit And to minimize environmental releases based on the integration of CHP systems with conventional heat generating units on the power grid The Crow Search Optimization algorithm (CSA) is used to solve the economic load distribution problem (CHPED) And the problem of the economic load distribution (CHPEED) as well as the problem of economic load distribution with the participation of electricity services market in MATLAB software simulation and its results for all three modes are presented. The proposed method is used for ten power plants with different characteristics with variable load The results of the Csa approach for optimization based on comparison with the results of the Ant colony algorithm as well as other algorithms considered in other studies are valid. When the CHP units are integrated with the integrated system of 10 TG, the results of the implementation of the proposed approach are very promising.