冷热电联供(combined cooling,heating and power,CCHP)型微电网不仅能为清洁能源的开发利用提供良好的平台,降低能源消费带来的环境污染,而且能够改善供电电能质量,降低系统损耗。为使CCHP型微电网经济计算更加符合实际运行工况,考虑...冷热电联供(combined cooling,heating and power,CCHP)型微电网不仅能为清洁能源的开发利用提供良好的平台,降低能源消费带来的环境污染,而且能够改善供电电能质量,降低系统损耗。为使CCHP型微电网经济计算更加符合实际运行工况,考虑将蓄电池寿命损耗带来的经济损失加入经济调度计算模型,同时考虑CCHP型微电网的经济性和环保性,建立CCHP型微电网的多目标优化模型。根据最大满意度的原则将多目标优化模型转化为单目标优化模型,利用改进型遗传算法,优化日内各微源的出力。通过算例对比分析多目标优化和各个单目标优化对微电网中各微源出力的影响,结果表明:多目标优化模型能够兼顾CCHP型微电网的经济性和环保性,更加接近CCHP型微电网的实际运行工况。展开更多
Energy management is facing new challenges due to the increasing supply and demand uncertainties,which is caused by the integration of variable generation resources,inaccurate load forecasts and non-linear efficiency ...Energy management is facing new challenges due to the increasing supply and demand uncertainties,which is caused by the integration of variable generation resources,inaccurate load forecasts and non-linear efficiency curves.To meet these challenges,a robust optimization method incorporating piecewise linear thermal and electrical efficiency curve is proposed to accommodate the uncertainties of cooling,thermal and electrical load,as well as photovoltaic(PV)output power.Case study results demonstrate that the robust optimization model performs better than the deterministic optimization model in terms of the expected operation cost.The fluctuation of net electrical load has greater effect on the dispatching results of the combined cooling,heating and power(CCHP)microgrid than the fluctuation of the cooling and thermal load.The day-ahead schedule is greatly affected by the uncertainty budget of the load demand.The economy of the optimal decision could be achieved by adjusting different uncertainty budget levels according to control the conservatism of the model.展开更多
冷热电联产(combined cooling,heating and power,CCHP)微网系统能够实现能源的梯级利用,在提高能源利用效率的同时可以促进可再生能源消纳。文章综合考虑CCHP微网在电力市场环境下运行的特殊性和风光可再生能源出力的不确定性,建立两...冷热电联产(combined cooling,heating and power,CCHP)微网系统能够实现能源的梯级利用,在提高能源利用效率的同时可以促进可再生能源消纳。文章综合考虑CCHP微网在电力市场环境下运行的特殊性和风光可再生能源出力的不确定性,建立两阶段鲁棒优化模型,提出了一种计及储电和储热综合储能系统的CCHP微网调度策略。算例结果表明考虑不确定性的鲁棒优化运行策略可以有效降低可再生能源出力偏差,提高CCHP微网运行成本的风险,并且可再生能源的预测与实际出力偏差越大,效果越明显。展开更多
针对包含多种可再生能源的冷热电联供型微网系统的能量优化问题,为了优化其运行过程的经济效益和环境效益,提出一种基于改进鲸鱼优化算法的多时间尺度下能量优化方法,首先根据长短期记忆网络(long short term memory,LSTM)预测得到的可...针对包含多种可再生能源的冷热电联供型微网系统的能量优化问题,为了优化其运行过程的经济效益和环境效益,提出一种基于改进鲸鱼优化算法的多时间尺度下能量优化方法,首先根据长短期记忆网络(long short term memory,LSTM)预测得到的可再生能源出力和负荷需求预先制定调度规划,然后以此预测数据为基础,采用改进鲸鱼优化算法调整可控设备出力,优化微网系统的运行成本和固定成本。将所提方法应用于某楼宇冷热电联供型微网。结果表明:在满足负荷需求的基础上使得经济成本平均降低4.03%且经济效益更优。展开更多
文摘冷热电联供(combined cooling,heating and power,CCHP)型微电网不仅能为清洁能源的开发利用提供良好的平台,降低能源消费带来的环境污染,而且能够改善供电电能质量,降低系统损耗。为使CCHP型微电网经济计算更加符合实际运行工况,考虑将蓄电池寿命损耗带来的经济损失加入经济调度计算模型,同时考虑CCHP型微电网的经济性和环保性,建立CCHP型微电网的多目标优化模型。根据最大满意度的原则将多目标优化模型转化为单目标优化模型,利用改进型遗传算法,优化日内各微源的出力。通过算例对比分析多目标优化和各个单目标优化对微电网中各微源出力的影响,结果表明:多目标优化模型能够兼顾CCHP型微电网的经济性和环保性,更加接近CCHP型微电网的实际运行工况。
基金supported by the National Science Foundation of China (No.51277027)the National Science and Technology Support Program of China (No.2015BAA01B01)the State Grid Corporation of China (SGTYHT/14-JS-188)
文摘Energy management is facing new challenges due to the increasing supply and demand uncertainties,which is caused by the integration of variable generation resources,inaccurate load forecasts and non-linear efficiency curves.To meet these challenges,a robust optimization method incorporating piecewise linear thermal and electrical efficiency curve is proposed to accommodate the uncertainties of cooling,thermal and electrical load,as well as photovoltaic(PV)output power.Case study results demonstrate that the robust optimization model performs better than the deterministic optimization model in terms of the expected operation cost.The fluctuation of net electrical load has greater effect on the dispatching results of the combined cooling,heating and power(CCHP)microgrid than the fluctuation of the cooling and thermal load.The day-ahead schedule is greatly affected by the uncertainty budget of the load demand.The economy of the optimal decision could be achieved by adjusting different uncertainty budget levels according to control the conservatism of the model.
文摘冷热电联产(combined cooling,heating and power,CCHP)微网系统能够实现能源的梯级利用,在提高能源利用效率的同时可以促进可再生能源消纳。文章综合考虑CCHP微网在电力市场环境下运行的特殊性和风光可再生能源出力的不确定性,建立两阶段鲁棒优化模型,提出了一种计及储电和储热综合储能系统的CCHP微网调度策略。算例结果表明考虑不确定性的鲁棒优化运行策略可以有效降低可再生能源出力偏差,提高CCHP微网运行成本的风险,并且可再生能源的预测与实际出力偏差越大,效果越明显。
文摘针对包含多种可再生能源的冷热电联供型微网系统的能量优化问题,为了优化其运行过程的经济效益和环境效益,提出一种基于改进鲸鱼优化算法的多时间尺度下能量优化方法,首先根据长短期记忆网络(long short term memory,LSTM)预测得到的可再生能源出力和负荷需求预先制定调度规划,然后以此预测数据为基础,采用改进鲸鱼优化算法调整可控设备出力,优化微网系统的运行成本和固定成本。将所提方法应用于某楼宇冷热电联供型微网。结果表明:在满足负荷需求的基础上使得经济成本平均降低4.03%且经济效益更优。
