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An improved equilibrium optimizer: dealing with economic emissions problem in power system dispatch

To cope with extreme climate impacts and shortages of fossil energy supplies, it is a big challenge for intermittent energy sources to provide a stable power supply. Therefore, this study proposes a power system dispatch model that includes wind, photovoltaic and thermal power generation. The model canwell deal with the power allocation problem of the power system by considering crucial factors such as operating cost and pollutant emission. Firstly, various constraints such as system power balance constraint, ramp constraint and upper and lower output limit constraints are established in the model. Then, an improved balancing optimizer algorithm is proposed using dynamic sine and cosine factors and chaotic initialization strategies. Finally, the effectiveness of the proposed model is verified by testing the system performance. Compared to other existing algorithms, the proposed model can reduce up to 10% system operating costs and 3% pollutant emissions. Therefore, the proposed model is proved to be effective in the stability, economy and environmental protection of the system operation.