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1)  locational marginal price
节点边际电价
1.
The mathematical relationship between locational marginal price and shadow price of congestion based on DC flow is shown in this paper.
首先介绍了节点边际价格的经济含义,然后在简化直流电力系统的前提下,根据其经济含义推导了节点边际电价与阻塞费用影子价格的线性化关系。
2.
The direct current optimal power flow(DCOPF)is a maturity method for calculating locational marginal price(LMP).
直流最优潮流计算节点边际电价的方法已经很成熟,但由于其对电力系统进行简化计算,因此,优化结果与实际运行情况不符。
3.
A brief review is presented for Locational Marginal Price theory and two kinds of model to calculate LMP—based on ACOPF and DCOPF—are introduced,then different models based on DCOPF are disscussed and analyzed also.
标准化设计的关键是节点边际电价(Locational Marginal Price,LMP)。
2)  Locational Marginal Price (LMP)
节点边际电价(LMP)
3)  locational marginal pricing
节点边际价格
1.
To optimize the operation of power system,it is necessary to establish security constrained economic dispatch(SCED) and introduce locational marginal pricing(LMP)method.
文中首先介绍了安全约束经济调度与节点边际价格的求解模型,描述了节点边际定价市场的优化原理;接着给出了节点边际电价的直流潮流法求解原理,并举例进行说明;最后指出节点边际电价有许多违反常规认识的地方,但这并不说明节点边际价格有错,关键原因在于电力系统运行除了遵守经济法则之外,还必须符合可靠性要求。
4)  market clearing price
边际电价
1.
A novel evolutionary neural network ensemble model based on particle swarm optimization(PSO) is proposed to forecast market clearing price(MCP) in day-ahead electricity market.
为了克服神经网络模型结构和参数难以设置,学习算法收敛速度慢等缺点,提出了一种基于粒子群优化的演化神经网络集成新模型对日前交易电力市场的边际电价进行预测。
2.
In day-ahead electricity market,market clearing price(MCP)has a great effect on economic benefit of market participants including independent power producer,transmission and distribution service provider,retailer,and customer.
在电力市场日前交易中,边际电价对独立发电商、输配电服务提供者、电力零售商和电力客户等市场成员的经济利益影响重大。
3.
A novel neural network ensemble(NNE)model based on wavelet transformation and swarm intelligence evolution is proposed to forecast market clearing price(MCP)in day-ahead electricity market.
提出了一种基于小波变换和群智能演化的神经网络集成预测新模型,对日前交易边际电价进行预测。
5)  system marginal price
边际电价
1.
ν-support vector machine is employed to achieve system marginal price prediction and confidence interval estimation simultaneously by constructing and solving a convex optimization problem.
引入ν-支持向量机,通过构造和求解一个凸优化问题,同时实现了对边际电价的预测和对置信区间的估计,且无需假定预测偏差的概率分布。
6)  Marginal price
边际电价
1.
Fixed cost allocation based on system marginal price;
基于系统边际电价的输电网络固定费用分时分摊研究
2.
With the probability theory and probabilistic production simulation technologies, a probabilistic method for estimating marginal price in electricity markets with elastic demand is developed based on the concept of marginal genera.
基于系统边际发电单元的概念,应用有关概率理论和随机生产模拟技术,提出了一种计入需求价格弹性因素的边际电价概率学预测方法。
3.
This paper is about the strategies based on the marginal price prediction for independent power plants to connect to the national network by price competition in the context of electricity market.
论文研究了电力市场环境下基于边际电价预测的独立发电厂竞价上网策略问题。
补充资料:丰枯电价(见季节电价)


丰枯电价(见季节电价)
seasonal power price

丰枯电价(seasonal power priee)在水电为主的电力系统中,对于专门利用丰水季电能的用户或在丰水季增加用电量的用户实行的优惠电价(见季节电价)‘(张工)
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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