欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
提出了一种在电力市场环境下考虑现存方式的可用输电能力（ATC）概率决策方法。该方法从经济上量化现存发电调度、切负荷及ATC间的有机联系,以综合效益最大为优化目标,基于非时序Monte Carlo模拟解决概率问题,对随机产生的每一系统可行状态,构建线性规划模型,并基于原-对偶初始点不可行的内点法求解。通过模拟获取ATC概率分布,以此建立ATC收益和风险折中的决策模型,通过序列优化搜索的方法并结合插值技术,实现概率下的最优ATC决策。IEEE RTS分析结果表明了所提出的模型和算法的有效性。
英文摘要：
A probabilistic decision-making method for available transfer capability（ATC）considering the existing system conditions in the electricity market is presented. The relationships among the existing power generation dispatches, load curtailment and ATC are quantified economically with an objective of maximizing composite benefits. The non-sequential Monte-Carlo simulation is used to solve the probabilistic problems. For each feasible system state that is generated stochastically, a linear programming model is constructed and solved by the primal-dual interior-point method with infeasible initial points. The ATC probability distribution is obtained through the simulation, based on which a decision-making model considering tradeoff between benefits and risks is established. To determine the probabilistic optimal ATC, a sequential searching algorithm combined with interpolation technique is used. Analysis results on the IEEE RTS demonstrate the validity of the method.
同期刊论文项目
同项目期刊论文
期刊信息
位置：