Dataset for the paper entitled "Real-time command strategies for microgrids based on the Contract Collaboration Problem"

Dataset for the paper entitled "Real-time command strategies for microgrids based on the Contract Collaboration Problem". You are free to use the instances in the zip file, if you cite the following work: @article{Levorato2020, author = {Levorato, M. and Figueiredo, R. and Frota, Y. and Jouglet, A. and Savourey, D.}, journal = {To be published}, title = {{Real-time command strategies for microgrids based on the Contract Collaboration Problem}}, year = {2020} } Instances description ================================= 1) full_intances: the 3 microgrid instances used in the main experiments: - A_instance2_1NDU_Cons : the *Cons* microgrid instance, with only the consumer uncertain system; - A_instance2_1NDU_Prod : the *Prod* microgrid instance, with only the producer uncertain system; - A_instance2 : the *Prod\&Cons* microgrid instance, with both uncertain systems (producer and consumer). For each instance, there are 3 files, each one for a group of randomly generated scenarios: - _1000s_skewed-left.txt : left-skewed beta distribution with parameters $\alpha=5,\beta=2$; - _1000s_skewed-right.txt : right-skewed beta distribution with parameters $\alpha=2,\beta=5$; - _1000s_uniform.txt: uniform distribution. The randomly-generated scenario values are located in the end of each file. 2) toy_sensitivity: reduces microgrid instances used in the sensitivity tests. Each file corresponds to a specific combination of model cost parameters, and the filename follows this mask: OC_Ct__DS_ST_NDU__.txt The parameters OC_cost, DS_cost, ST_cost follow the values listed in Table VI of the aforementioned paper. (caption: Energy cost parameters in sensitivity analysis). can be one of the 3 distributions used in the work (skewed-left, skewed-right or uniform). The used was 'default'. The used was 'default'. Again, the randomly-generated scenario values are located in the end of each file.本数据集对应题为《基于契约协作问题（Contract Collaboration Problem）的微电网（microgrid）实时调度策略》的论文。若需使用该压缩包中的实例，请引用如下文献： @article{Levorato2020, author = {Levorato, M. and Figueiredo, R. and Frota, Y. and Jouglet, A. and Savourey, D.}, journal = {To be published}, title = {{Real-time command strategies for microgrids based on the Contract Collaboration Problem}}, year = {2020} } ===== 数据集实例说明 ===== 1. 完整实例集：主实验中采用的3组微电网实例： - A_instance2_1NDU_Cons：仅含用户侧不确定性系统的*Cons*微电网实例； - A_instance2_1NDU_Prod：仅含发电侧不确定性系统的*Prod*微电网实例； - A_instance2：同时包含发电侧与用户侧不确定性系统的*Prod&Cons*微电网实例。 针对每组实例，均包含3个对应不同随机生成场景集的文件： - _1000s_skewed-left.txt：参数为$alpha=5,eta=2$的左偏beta分布（beta distribution）场景集； - _1000s_skewed-right.txt：参数为$alpha=2,eta=5$的右偏beta分布场景集； - _1000s_uniform.txt：均匀分布场景集。 各文件末尾处存储有随机生成的场景数值。 2. 敏感性分析精简实例集：敏感性测试中使用的简化微电网实例。每个文件对应一组特定的模型成本参数组合，文件名遵循如下掩码格式：`OC_Ct__DS_ST_NDU__.txt`。其中`OC_cost`、`DS_cost`、`ST_cost`的取值对应前述论文表VI所列参数（图注：敏感性分析中的能源成本参数）。场景分布可选用本研究采用的三类分布：左偏分布、右偏分布或均匀分布，本次实验默认采用均匀分布。各文件末尾处存储有随机生成的场景数值。