From the view of information flow, a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level, a command level and a firepow...From the view of information flow, a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level, a command level and a firepower level. Firstly, the optimized conditions of the perceptive level, command level and firepower level are analyzed respectively based on the demand of information relation,and then the information supply-and-demand equilibrium model of the operation architecture super-network is established. Secondly,a variational inequality transformation(VIT) model for equilibrium optimization of the operation architecture is given. Thirdly, the contraction projection algorithm for solving the operation architecture super-network equilibrium optimization model with fuzzy demands is designed. Finally, numerical examples are given to prove the validity and rationality of the proposed method, and the influence of fuzzy demands on the super-network equilibrium solution of operation architecture is discussed.展开更多
合理规划好集中供热一次网的供热负荷,对满足热用户的舒适度和减少能源消耗有着重要意义。为此提出一种改进金豺算法(improved golden jackal optimization,IGJO)优化的CNN-BiLSTM热负荷预测模型。综合考虑一次网各项参数和天气因素的影...合理规划好集中供热一次网的供热负荷,对满足热用户的舒适度和减少能源消耗有着重要意义。为此提出一种改进金豺算法(improved golden jackal optimization,IGJO)优化的CNN-BiLSTM热负荷预测模型。综合考虑一次网各项参数和天气因素的影响,将热负荷历史值和一次网供水温度、供水流量、供水压力、外界天气温度组成CNN-BiLSTM网络的输入,利用CNN-BiLSTM网络提取输入数据的空间特征和时间特征。同时,通过Circle混沌映射、螺旋波动搜索、自适应t变异策略改进GJO,得到的IGJO有效解决了GJO全局搜索能力弱和收敛精度不高的问题,具有高效的寻优效果,然后利用IGJO寻优CNN-BiLSTM网络的超参数,解决了因CNN-BiLSTM网络的超参数选取不当而影响热负荷预测结果的问题。最后利用吉林延边某换热站2021年1月到3月供热负荷数据进行模型测试。结果表明,所提IGJO-CNN-BiLSTM预测结果的MAE、MAPE、RMSE和NSE分别为0.005 MW、0.33%、0.008 MW和0.97,相比LSTM、CNN-LSTM等模型,具有更优的预测精度。展开更多
基金supported by the National Natural Science Foundation of China (71771216,71701209)Shaanxi Natural Science Foundation (2019 JQ-250)。
文摘From the view of information flow, a super-network equilibrium optimization model is proposed to compute the solution of the operation architecture which is made up of a perceptive level, a command level and a firepower level. Firstly, the optimized conditions of the perceptive level, command level and firepower level are analyzed respectively based on the demand of information relation,and then the information supply-and-demand equilibrium model of the operation architecture super-network is established. Secondly,a variational inequality transformation(VIT) model for equilibrium optimization of the operation architecture is given. Thirdly, the contraction projection algorithm for solving the operation architecture super-network equilibrium optimization model with fuzzy demands is designed. Finally, numerical examples are given to prove the validity and rationality of the proposed method, and the influence of fuzzy demands on the super-network equilibrium solution of operation architecture is discussed.
