微电网系统环保经济调度模型及优化算法研究

发布时间：2018-12-09 17:00

【摘要】：随着风力、光伏等可再生能源和高效清洁的化石燃料在内的新型发电技术的普及,微网系统以其供电灵活、污染少、可靠性高的优势得以进一步发展。由于微网系统内风力发电和光伏发电受自然条件的影响较大,其输出功率的波动性和间歇性给微网系统的稳定运行和安全性带来了极大的挑战,加之目前风电功率和光伏发电功率预测精度普遍偏低,因此微网系统内的日前环保经济调度就变得尤为重要。另外大规模风电入网后其反调峰特性日益明显,加剧了微网调度运行过程中的调峰问题,增加了系统运行的经济成本,影响微网系统供电可靠性,合理经济的日前调度计划对于改善负荷高峰期供电紧张的局面具有十分重要的意义。本文首先从微网系统的发电侧经济成本和环境成本出发,研究了包含风力发电、光伏发电、微型燃气轮机、燃料电池和蓄电池等分布式电源的微网系统在并网和孤网状态下的环保经济调度优化问题。孤网状态下,由于风电和光伏发电的波动性和间歇性缺陷降低了微网系统供电的可靠性,本文采用风电功率和光伏发电功率的概率分布特性来描述系统中存在的不确定性因素,提出失负荷风险指标和风光浪费风险指标建立了考虑发电经济性和环保性的多目标模型,保证微网供电的可靠性和可再生能源的高效利用。并网状态下有大电网的支撑,新能源发电的波动性影响减小,大规模风电接入后其反调峰特性增大了微网系统和电网系统的调峰难度,本文以消费者心理学为理论基础,在分时电价政策的激励下预测用户响应负荷曲线,建立了用户侧互动模式下微网调度计划模型,综合考虑微网系统的发电成本和用户用电满意度两目标,通过微网系统内用户侧的互动作用减小了调度过程中的峰谷差值,降低了发电过程的发电成本,并在一定程度上保证了用户用电方式的满意度。
[Abstract]:With the popularity of new generation technologies, such as wind, photovoltaic, and efficient and clean fossil fuels, microgrid systems have been further developed due to their advantages of flexible power supply, less pollution and high reliability. Because wind power generation and photovoltaic power generation in microgrid system are greatly affected by natural conditions, the fluctuation and intermittency of output power bring great challenges to the stability and security of micro-grid system. In addition, the prediction accuracy of wind power and photovoltaic power generation is generally low, so the environmental protection and economic dispatch in micro-grid system becomes more and more important. In addition, the anti-peak-shaving characteristic of large-scale wind power is becoming more and more obvious, which exacerbates the peak-shaving problem in the operation process of micro-grid dispatching, increases the economic cost of system operation, and affects the reliability of micro-grid power supply. Reasonable and economical pre-day dispatching plan is of great significance to improve the situation of power supply stress during peak load period. In this paper, starting from the economic cost and environmental cost of microgrid system, the research includes wind power generation, photovoltaic power generation and micro gas turbine. Environmental and economic scheduling optimization of microgrid systems with distributed power sources such as fuel cells and batteries under grid-connected and isolated grid conditions. Because the fluctuation and intermittent defects of wind power and photovoltaic power reduce the reliability of micro-grid power supply, the probabilistic distribution characteristics of wind power and photovoltaic power are used to describe the uncertain factors in the system. A multi-objective model considering the economy and environmental protection of power generation is proposed to ensure the reliability of micro-grid power supply and the efficient utilization of renewable energy. With the support of large power grid, the fluctuation of new energy generation is reduced. The anti-peak-shaving characteristic of large-scale wind power system increases the difficulty of peak-shaving in micro-grid system and power grid system. This paper takes consumer psychology as the theoretical basis. Under the incentive of time-sharing price policy, the user response load curve is forecasted, and the model of micro-grid scheduling plan in user-side interaction mode is established. The objectives of generating cost and user satisfaction of micro-grid system are considered synthetically. Through the interaction of the user side in the microgrid system, the peak and valley difference in the dispatching process is reduced, the generation cost is reduced, and the satisfaction of the user is guaranteed to a certain extent.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73

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