一个基于激励的智能需求响应计划,用于详尽的环境,限制了微电网系统的技术经济分析
Bishwajit Dey1, Gulshan Sharma1, Pitshou N Bokoro1
1Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg, 2006, South Africa.
Scientific reports
|January 6, 2025
概括
基于激励的需求响应 (IBDR) 策略通过激励在高峰时间减少负载,有效地降低了微电网成本和排放. 这种方法平衡了经济和环境目标,改善了负载率并减少了峰值需求.
科学领域:
- 能源系统工程 能源系统工程
- 环境科学 环境科学
- 优化理论 优化理论
背景情况:
- 微电网能源管理侧重于分布式能源的成本效益安排,通常使用负载转移技术.
- 目前的方法优先考虑效率和经济因素,污染物减少很少是首要目标.
- 现有的方法通常包含复杂的约束,如插电式混合动力电动汽车 (PHEV) 调度和电池寿命评估.
研究的目的:
- 引入基于激励的需求响应 (IBDR) 政策,以减少微电网中的排放和发电成本.
- 通过客户激励,促进在高峰时段减少负载.
- 通过平衡成本和减排来实现环境和经济的可持续性.
主要方法:
- 实施基于激励的需求响应 (IBDR) 政策.
- 分析了六种不同电网参与和电力市场定价的场景,包括需求响应计划.
- 用差异进化算法进行优化.
- 应用加权经济排放调度算法.
主要成果:
- 该IBDR战略证明了其适用性和有效性,从而节省了成本.
- 随着IBDR的实施,发电成本下降了10-13%.
- 峰值需求减少了6-8%,负载因子改善了4-5%.
结论:
- 拟议的IBDR战略有效地降低了微电网发电成本和排放.
- 该政策成功平衡了经济和环境目标,增强了微电网的可持续性.
- 该研究证实了IBDR对主要绩效指标 (如峰值需求和负载因子) 的积极影响.
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