基于进化规划优化技术的光伏和风力发电系统扩容规划

2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA) Pub Date : 2023-03-06 DOI:10.1109/ICPEA56918.2023.10093202

Adibah Binti Mashudi, Muhammad Murtadha Othman, Masoud Ahmadipour, Kamrul Hasan

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引用次数: 0

摘要

本项目介绍了考虑并网光伏发电机组和风力发电机组的发电扩展规划，以保证系统的可靠性。利用光伏发电机组和风力发电机组的嵌入式数据建立马尔可夫模型，得到强制停运率。然后，利用24母线系统的负荷和由光伏发电机组和风力发电机组的kW大小组成的种群的变数来获得负荷预期损失(LOLE)。将考虑轮盘赌和交叉的扩展规划优化EP技术应用于提高光伏发电机组和风力发电机组系统可靠性性能。通过扩容规划，得到了LOLE小于2.4的光伏发电机组和风力发电机组的最佳尺寸，最终得到了安装成本最低的目标函数。

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Generation Expansion Planning Considering Photovoltaic (PV) and Wind turbine Systems Using Optimization of Evolutionary Programming (EP) Technique

This project introduces generation expansion planning considering grid-connected PV Generator and Wind turbine allowing the reliability of a system. The Markov model is performed with embedded data of PV generator and Wind turbine to obtain forced outage rate (FOR). Then, a load of a 24-bus system and a variant number of the population comprising kW sizing of PV Generator and Wind turbine is used to obtain the loss of load expectation (LOLE). The EP technique for optimization of expansion planning considering Roulette wheel and crossover is applied to increase the performance of system reliability of PV Generator and Wind turbine. The generation expansion planning produced the best sizing of PV Generator and Wind turbine with the LOLE less than 2.4 and finally obtained the objective function which is the lowest installation cost.

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2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)

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