A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple...A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple decision-makers （DMs） can collaboratively solve the tasks-platforms allocation scheduling problems dynamically through the coordinator. This methodo- logy combined with NGA maximizes tasks execution accuracy, also minimizes the weighted total workload of the DM which is measured in terms of intra-DM and inter-DM coordination. The intra-DM employs an optimization-based scheduling algorithm to match the tasks-platforms assignment request with its own platforms. The inter-DM coordinates the exchange of collaborative request information and platforms among DMs using the blackboard architecture. The numerical result shows that the proposed black- board DM framework based on NGA can obtain a near-optimal solution for the tasks-platforms collaborative planning problem. The assignment of platforms-tasks and the patterns of coordination can achieve a nice trade-off between intra-DM and inter-DM coordination workload.展开更多
随着分布式能源(distributed energy resource,DER)广泛接入配电网以及电力市场环境的开放,DER有机会参与电力市场竞标并获得收益。为此,建立考虑光伏发电不确定性的DER聚合商参与电力市场竞标的鲁棒双层规划模型,并分析其策略性竞标行...随着分布式能源(distributed energy resource,DER)广泛接入配电网以及电力市场环境的开放,DER有机会参与电力市场竞标并获得收益。为此,建立考虑光伏发电不确定性的DER聚合商参与电力市场竞标的鲁棒双层规划模型,并分析其策略性竞标行为。该模型的上层问题是两阶段鲁棒优化问题,第1阶段以最大化DER聚合商收益为目标确定其竞标量,第2阶段以最小化光伏发电出力最恶劣场景下弃光惩罚成本为目标对配电网安全性进行校核,并且还考虑配电网的离散控制特性。该模型的下层问题是日前电能量市场出清问题,首先采用Karush-Kuhn-Tucker条件替代将鲁棒双层规划模型转化为两阶段鲁棒优化问题,再采用嵌套列与约束生成算法求解,最后在修改的IEEE 30节点系统和IEEE 18节点配电网构成的输配联合系统上进行仿真分析,验证所提方法的有效性。展开更多
基金supported by the National Aerospace Science Foundation of China(20138053038)the Graduate Starting Seed Fund of Northwestern Polytechnical University(Z2015111)
文摘A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple decision-makers （DMs） can collaboratively solve the tasks-platforms allocation scheduling problems dynamically through the coordinator. This methodo- logy combined with NGA maximizes tasks execution accuracy, also minimizes the weighted total workload of the DM which is measured in terms of intra-DM and inter-DM coordination. The intra-DM employs an optimization-based scheduling algorithm to match the tasks-platforms assignment request with its own platforms. The inter-DM coordinates the exchange of collaborative request information and platforms among DMs using the blackboard architecture. The numerical result shows that the proposed black- board DM framework based on NGA can obtain a near-optimal solution for the tasks-platforms collaborative planning problem. The assignment of platforms-tasks and the patterns of coordination can achieve a nice trade-off between intra-DM and inter-DM coordination workload.
文摘随着分布式能源(distributed energy resource,DER)广泛接入配电网以及电力市场环境的开放,DER有机会参与电力市场竞标并获得收益。为此,建立考虑光伏发电不确定性的DER聚合商参与电力市场竞标的鲁棒双层规划模型,并分析其策略性竞标行为。该模型的上层问题是两阶段鲁棒优化问题,第1阶段以最大化DER聚合商收益为目标确定其竞标量,第2阶段以最小化光伏发电出力最恶劣场景下弃光惩罚成本为目标对配电网安全性进行校核,并且还考虑配电网的离散控制特性。该模型的下层问题是日前电能量市场出清问题,首先采用Karush-Kuhn-Tucker条件替代将鲁棒双层规划模型转化为两阶段鲁棒优化问题,再采用嵌套列与约束生成算法求解,最后在修改的IEEE 30节点系统和IEEE 18节点配电网构成的输配联合系统上进行仿真分析,验证所提方法的有效性。
