Scheduling is one of the important links to ensure the smooth operation of the power system, and it is the guarantee that the load can obtain high-quality power safely and uninterruptedly. This paper aims to construct an environmental economic distribution model based on the energy market environment, summarize the development origin of intelligent optimization methods and the development problems of multi-objective optimization methods, and explain the basic knowledge of multi-objective optimization problems. Systematic investigation of environmental and economic dispatch problems Based on the existing research results, an environmental and economic dispatch mode of centralized charging piles is constructed for the economic dispatch of centralized charging stations of State Grid Corporation of China. The results of network loss sensitivity analysis show that using the network loss sensitivity analysis method, the network loss caused by the uniform distribution of the central load piles is 20.32 MWh, the network loss caused by the uniform distribution of the central load piles is 23.12 MWh, and the total network loss is reduced by 12.11%. Using the network loss sensitivity analysis method can significantly reduce the network loss.

Migdal Kamila. Construction of Environmental Economic Dispatching Model Based on Electricity Market Environment. Academic Journal of Environmental Biology (2021), Vol. 2, Issue 4: 1-9. https://doi.org/10.38007/AJEB.2021.020401.

[1] Barroso L, Munoz F D, Bezerra B, et al. Zero-Marginal-Cost Electricity Market Designs: Lessons Learned From Hydro Systems in Latin America Might Be Applicable for Decarbonization. IEEE Power and Energy Magazine, 2021, 19(1):64-73. https://doi.org/10.1109/MPE.2020.3033398

[2] Khaloie H, Abdollahi A, Shafie-Khah M, et al. Co-optimized bidding strategy of an integrated wind-thermal-photovoltaic system in deregulated electricity market under uncertainties. Journal of Cleaner Production, 2020, 242(Jan.1):118434.1-118434.20.

[3] Ward K R, Staffell I. Simulating price-aware electricity storage without linear optimisation. Journal of Energy Storage, 2018, 20(DEC.):78-91. https://doi.org/10.1016/j.est.2018.08.022

[4] Dey S, Ray A, Goswami S, et al. Economic Load Dispatch Model Optimization using Fuzzy Interactive Optimization Technique. International Journal Of Computer Sciences And Engineering, 2019, 7(18):245-250.

[5] Ridzuan M R M, Hassan E E, Abdullah A R, et al. Sustainable Environmental Economic Dispatch Optimization with Hybrid Metaheuristic Modification. Indonesian Journal of Electrical Engineering and Computer Science, 2018, 11(1):161-168.

[6] Elattar E E. Environmental economic dispatch with heat optimization in the presence of renewable energy based on modified shuffle frog leaping algorithm. Energy, 2019, 171(MAR.15):256-269.

[7] Adolfo D, Carcasci C. Economic analysis of a small combined cycle gas turbine power plant in the Italian electricity market:. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2021, 235(5):1159-1172.

[8] Kim J, Yoon H. Exploring Entry Opportunity for Vietnam Energy Market : Based on Multi-Level Perspective Policy Analysis of Electricity Market. International Business Review, 2021, 25(1):151-170.

[9] Raimundo R, Domingues N. The Model of the Five Competitive Forces on Portuguese Electricity Market. Modern Economy, 2021, 12(1):140-153. https://doi.org/10.4236/me.2021.121007

[10] Ahn G, Taksm M A, Ytgn B. Effects Of The European Green Deal On Turkey's Electricity Market. İşletme Ekonomi ve Yönetim Araştırmaları Dergisi, 2021, 4(1):40-58.

[11] Amjad A, Ramzan I, Rafique R, et al. Least Cost Optimization Scenarios For Pakistan Electricity Market. International Journal Of Management, 2021, 12(6):211-230.

[12] Sadat-Mohammadi M, Nazari-Heris M, Nazerfard E, et al. Intelligent approach for residential load scheduling. IET Generation Transmission & Distribution, 2020, 14(21):4738-4745.

[13] Ghanavati S, Abawajy J H, Izadi D. An Energy Aware Task Scheduling Model Using Ant-Mating Optimization in Fog Computing Environment. IEEE Transactions on Services Computing, 2020, PP(99):1-1.

[14] Tavassoli L S, Sakhavand N, Fazeli S S. Integrated Preventive Maintenance Scheduling Model with Redundancy for Cutting Tools on a Single Machine. Engineering, Technology and Applied Science Research, 2020, 10(6):6542-6548. https://doi.org/10.48084/etasr.3903

[15] Gholamnejad J, Lotfian R, Kasmaee S. A practical, long-term production scheduling model in open pit mines using integer linear programming. Journal of the Southern African Institute of Mining and Metallurgy, 2020, 120(12):665-670.

[16] Halper J, Aguilera A, Petras L, et al. 1. Promoting Resident Wellness: A Novel Clinic Scheduling Model During Pediatric Intensive Care Unit Rotations. Academic Pediatrics, 2020, 20(7):e3-e4. https://doi.org/10.1016/j.acap.2020.06.022

[17] Daneshvar M, Mohammadi-Ivatloo B, Zare K, et al. Two-stage Robust Stochastic Scheduling Model for Transactive Energy based Renewable Microgrids. IEEE Transactions on Industrial Informatics, 2020, PP(99):1-1. https://doi.org/10.1109/TII.2020.2973740

[18] Finco S, Zennaro I, Battini D, et al. Considering workers' features in manufacturing systems: a new job-rotation scheduling model. IFAC-PapersOnLine, 2020, 53(2):10621-10626. https://doi.org/10.1016/j.ifacol.2020.12.2819