基于协同进化遗传算法的微网经济环保调度
发布时间：2018-08-03 11:01
【摘要】：为了满足日益增长的电力负荷需求,必须充分利用各地丰富的清洁和可再生能源,大力发展分布式发电技术,微电网的出现,解决了现有的能源缺口和环境污染问题。微网经济调度因其带来的经济效益而倍受关注,而分布式发电具有间歇性、复杂性、多样性、不稳定性和波动性的特点,给微电网的经济、可靠、环保运行带来了新的问题和挑战。微电网中的分布式电源受客观天气条件、原料价格等因素的影响具有一定波动性,各自的发电特性以及发电成本均不同,有的还包括“冷热电联产”系统,因此如何优化调度各种分布式发电以保证微网的经济运行,多个分布式电源并联运行时如何抑制环流、合理进行功率分配,这些都增加了微电网经济调度问题的复杂性。本文在分析了微电源的稳态模型及调度特性基础上,建立了包含风力发电、大阳能光伏发电、微型燃气轮机、燃料电池和蓄电池储能单元的微电网系统,提出了以发电成本最低、污染物排放最小并计及切负荷费用、制冷、供热收益和可再生能源补贴为目标函数,考虑相应的约束条件,建立冷热电联产型的微电网环保经济调度模型;结合协同进化遗传算法建立分阶段目标函数,将蓄电池虚拟放电和充电价格计入群体寻优目标函数,用于从群体中寻找最优个体,然后应用精英寻优目标函数从精英群中寻求微电源出力调度最优解;给出了并网和孤网运行方式下的调度策略,通过算例分析验证了调度模型、策略和算法的有效性;最后研究了基于N-1安全性约束的微电网平滑切换时的经济调度,并给出了切换前后的优化结果对比。
[Abstract]:In order to meet the increasing demand of electric power load, it is necessary to make full use of the abundant clean and renewable energy sources, to develop distributed generation technology and to solve the problems of energy gap and environmental pollution. Microgrid economic dispatch has attracted much attention because of its economic benefits, while distributed power generation has the characteristics of intermittence, complexity, diversity, instability and volatility, which makes microgrid economical and reliable. Environmental protection operation brings new problems and challenges. The distributed power generation in microgrid is affected by objective weather conditions, raw material price and other factors. Their generation characteristics and generation cost are different, some of them include "cogeneration of cold, heat and electricity" system. Therefore, how to optimize and dispatch all kinds of distributed generation to ensure the economic operation of microgrid, and how to restrain circulation and distribute power reasonably in parallel operation of multiple distributed power sources, all these increase the complexity of economic scheduling problem of microgrid. On the basis of analyzing the steady-state model and dispatching characteristics of micro-power supply, a micro-grid system including wind power generation, solar photovoltaic power generation, micro-gas turbine, fuel cell and battery energy storage unit is established in this paper. Taking the lowest cost of power generation, the minimum emission of pollutants and the cost of load cutting, refrigeration, heating revenue and renewable energy subsidy as objective functions, the corresponding constraints are considered. Based on the co-evolution genetic algorithm, the multi-stage objective function is established, and the virtual discharge and charging price of battery are counted into the group optimization objective function. It is used to find the optimal individual from the group, and then apply the elitist optimization objective function to seek the optimal solution of the micro-power generation scheduling from the elite group, and give the scheduling strategy under the operation mode of grid-connected and isolated network, and verify the scheduling model by the example analysis. Finally, the economic scheduling of smooth handoff in microgrid based on N-1 security constraints is studied, and the optimization results before and after switching are compared.
【学位授予单位】：中国石油大学(华东)
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73
[Abstract]:In order to meet the increasing demand of electric power load, it is necessary to make full use of the abundant clean and renewable energy sources, to develop distributed generation technology and to solve the problems of energy gap and environmental pollution. Microgrid economic dispatch has attracted much attention because of its economic benefits, while distributed power generation has the characteristics of intermittence, complexity, diversity, instability and volatility, which makes microgrid economical and reliable. Environmental protection operation brings new problems and challenges. The distributed power generation in microgrid is affected by objective weather conditions, raw material price and other factors. Their generation characteristics and generation cost are different, some of them include "cogeneration of cold, heat and electricity" system. Therefore, how to optimize and dispatch all kinds of distributed generation to ensure the economic operation of microgrid, and how to restrain circulation and distribute power reasonably in parallel operation of multiple distributed power sources, all these increase the complexity of economic scheduling problem of microgrid. On the basis of analyzing the steady-state model and dispatching characteristics of micro-power supply, a micro-grid system including wind power generation, solar photovoltaic power generation, micro-gas turbine, fuel cell and battery energy storage unit is established in this paper. Taking the lowest cost of power generation, the minimum emission of pollutants and the cost of load cutting, refrigeration, heating revenue and renewable energy subsidy as objective functions, the corresponding constraints are considered. Based on the co-evolution genetic algorithm, the multi-stage objective function is established, and the virtual discharge and charging price of battery are counted into the group optimization objective function. It is used to find the optimal individual from the group, and then apply the elitist optimization objective function to seek the optimal solution of the micro-power generation scheduling from the elite group, and give the scheduling strategy under the operation mode of grid-connected and isolated network, and verify the scheduling model by the example analysis. Finally, the economic scheduling of smooth handoff in microgrid based on N-1 security constraints is studied, and the optimization results before and after switching are compared.
【学位授予单位】：中国石油大学(华东)
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73
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