In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support...In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support provided by wartime military material support powers can be more effective. When the principles,requirements, influencing factors and goals of military material support forces are deployed in wartime, an evaluation indicator system is established. Thus, a new combined empowerment method based on an analytic hierarchy process（AHP） is developed to calculate the subjective weights, and the rough entropy method is used to calculate the objective weights. Combination weights can be obtained by calculating the weight preference coefficient error, which is determined by combining the cooperative game method and the minimum deviation into objectives. This approach can determine the grey relation projection coefficient and synthesize the measure scheme superiority to finally optimize the deployment plan using the grey relation projection decision-making method. The results show that the method is feasible and effective;it can provide a more scientific and practical decision-making basis for the military material support power deployment in wartime.展开更多
为适应电力系统分区运行与多类型灵活性资源地域分布不均衡的特点,提出了考虑多区域多类型灵活性资源互济的分散协调调度策略。文章建立火电机组、储能和可中断负荷的综合灵活性供给能力模型,分析了源荷双侧不确定性带来的灵活性需求,...为适应电力系统分区运行与多类型灵活性资源地域分布不均衡的特点,提出了考虑多区域多类型灵活性资源互济的分散协调调度策略。文章建立火电机组、储能和可中断负荷的综合灵活性供给能力模型,分析了源荷双侧不确定性带来的灵活性需求,采用条件风险价值量化了区域灵活性不足风险成本。考虑多区域多类型灵活性资源协同互济与灵活性互济辅助服务成本,基于改进的交替方向乘子法(alternating direction method of multipliers,ADMM)对区域间灵活性互济水平进行了分析,实现了分散式调度下多类型灵活性资源跨区域协调互动。算例验证结果表明,该策略促进了大电网的灵活性供需平衡,降低了新能源负荷的弃限风险与系统运行成本,对经济安全调度具有积极意义。展开更多
针对大规模风电并网消纳的难题,该文提出一种计及需求响应虚拟电厂的风电并网系统分布式日前经济调度优化模型。首先,将需求侧负荷以需求响应虚拟电厂形式参与系统优化调度,通过负荷转移以实现削峰填谷,促进风电消纳;结合电网中不同电...针对大规模风电并网消纳的难题,该文提出一种计及需求响应虚拟电厂的风电并网系统分布式日前经济调度优化模型。首先,将需求侧负荷以需求响应虚拟电厂形式参与系统优化调度,通过负荷转移以实现削峰填谷,促进风电消纳;结合电网中不同电力公司所辖电网具有相互独立且互联的特点,基于电网分区,采用交替方向乘子法(alternating direction method of multipliers,ADMM)构建分布式优化调度模型并提出多区域协同优化的迭代计算框架;然后,在求解该分布式优化调度模型过程中,每次优化迭代时相邻区域之间仅交换边界节点相角信息即可实现各分区系统以运行成本最低为优化目标的分布式求解,在降低区域间协调运行的信息量,保证各区域独立运行的灵活性和信息私密性的基础上,最终实现电网经济调度和风电消纳的全局最优。最后,通过对6节点测试系统和IEEE-118节点测试系统的算例分析,验证了所提模型的可行性和算法的有效性。展开更多
基金supported by the Education Science Fund of the Military Science Institute of Beijing,China(2015JY320)
文摘In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support provided by wartime military material support powers can be more effective. When the principles,requirements, influencing factors and goals of military material support forces are deployed in wartime, an evaluation indicator system is established. Thus, a new combined empowerment method based on an analytic hierarchy process（AHP） is developed to calculate the subjective weights, and the rough entropy method is used to calculate the objective weights. Combination weights can be obtained by calculating the weight preference coefficient error, which is determined by combining the cooperative game method and the minimum deviation into objectives. This approach can determine the grey relation projection coefficient and synthesize the measure scheme superiority to finally optimize the deployment plan using the grey relation projection decision-making method. The results show that the method is feasible and effective;it can provide a more scientific and practical decision-making basis for the military material support power deployment in wartime.
基金Supported by National Natural Science Foundation of China （60674039, 60704004） and Innovation Fund for Outstanding Scholar of Henan Province （084200510009 ）
文摘为适应电力系统分区运行与多类型灵活性资源地域分布不均衡的特点,提出了考虑多区域多类型灵活性资源互济的分散协调调度策略。文章建立火电机组、储能和可中断负荷的综合灵活性供给能力模型,分析了源荷双侧不确定性带来的灵活性需求,采用条件风险价值量化了区域灵活性不足风险成本。考虑多区域多类型灵活性资源协同互济与灵活性互济辅助服务成本,基于改进的交替方向乘子法(alternating direction method of multipliers,ADMM)对区域间灵活性互济水平进行了分析,实现了分散式调度下多类型灵活性资源跨区域协调互动。算例验证结果表明,该策略促进了大电网的灵活性供需平衡,降低了新能源负荷的弃限风险与系统运行成本,对经济安全调度具有积极意义。
文摘针对大规模风电并网消纳的难题,该文提出一种计及需求响应虚拟电厂的风电并网系统分布式日前经济调度优化模型。首先,将需求侧负荷以需求响应虚拟电厂形式参与系统优化调度,通过负荷转移以实现削峰填谷,促进风电消纳;结合电网中不同电力公司所辖电网具有相互独立且互联的特点,基于电网分区,采用交替方向乘子法(alternating direction method of multipliers,ADMM)构建分布式优化调度模型并提出多区域协同优化的迭代计算框架;然后,在求解该分布式优化调度模型过程中,每次优化迭代时相邻区域之间仅交换边界节点相角信息即可实现各分区系统以运行成本最低为优化目标的分布式求解,在降低区域间协调运行的信息量,保证各区域独立运行的灵活性和信息私密性的基础上,最终实现电网经济调度和风电消纳的全局最优。最后,通过对6节点测试系统和IEEE-118节点测试系统的算例分析,验证了所提模型的可行性和算法的有效性。
