一个强大的微电网优化模型,考虑在不确定性下的混合可再生能源
Hussain Haider1,2, Yang Jun3,4, Ghamgeen Izat Rashed1,2
1Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan, 430072, Hubei Province, China.
概括
本研究介绍了一种强大的优化模型,用于管理混合可再生能源系统和微电网中的不确定性,确保可靠和成本效益的电力供应. 该模型最大限度地降低了前一天的运营成本,同时解决了来自风能和太阳能来源的波动电力输出问题.
科学领域:
- 电气工程 电气工程
- 运营研究 运营研究
- 可持续能源 可持续能源
背景情况:
- 未来的发电依赖于混合可再生能源和微电网.
- 评估不确定的间歇性输出功率对于可持续和可靠的微电网运营至关重要.
- 不断增长的能源需求需要先进的方法来管理可再生能源的整合.
研究的目的:
- 为微电网提出一个强大的混合整数线性编程模型,以尽量减少前一天的运营成本.
- 解决风力轮机,光伏和电力负载输出的不确定性.
- 验证该模型在集成可再生能源的能源系统管理中的有效性.
主要方法:
- 开发了一个强大的混合整数线性编程模型.
- 利用零碎的线性曲线来处理可再生能源发电和负载的不确定性.
- 采用了强大的优化技术,包括强大的最坏情况下的情景和最大-最小的强大的优化.
- 通过IEEE 33节点系统的案例研究来验证模型.
主要成果:
- 提出的强大的优化模型有效地将前一天的成本在不确定性条件下降至最低.
- 该模型与替代优化技术相比,显示出更高的成本效益.
- 调整不确定性预算集允许在控制负载需求和可再生能源不确定性方面进行最佳决策.
- 该方法在IEEE 33节点系统案例研究中被证明是有效和有利的.
结论:
- 强大的优化方法确保了微电网可用性和成本效益的高解决方案.
- 该研究提供了管理层对将可再生能源整合到微电网的见解.
- 拟议的方法为管理不确定的能源系统提供了有效和可靠的解决方案.
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