电力市场下宝钢电厂的报价模型探讨

提出一种综合考虑机组发电成本和市场电价以及宝钢生产负荷变化的发电与报价优化策略.基于企业利润最大化原则,建立了不同于传统计划发电体制的带有多项安全约束条件的机组出力优化方案数学模型,得到机组各时段最优出力.     

A Generalized Nash Equilibrium Model of Market Coupling in the European Power System

??Market Coupling?? is currently seen as the most advanced market design in the restructuring of the European electricity market. Market Coupling, by construction, introduces what is generally referred to as an incomplete market: it leaves several constraints out of the market and hence avoids pricing them. This may or may not have important consequences in practice depending on the case on hand. Quasi-Variational Inequality problems and the associated Generalized Nash Equilibrium can be used for representing incomplete markets. Recent papers propose methods for finding a set of solutions of Quasi-Variational Inequality problems. We apply one of these methods to a subproblem of market coupling namely the coordination of counter-trading. This problem is an illustration of a more general question encountered, for instance, in hierarchical planning in production management. We first discuss the economic interpretation of the Quasi-Variational Inequality problem. We then apply the algorithmic approach to a set of stylized case studies in order to illustrate the impact of different organizations of counter-trading. The paper emphasizes the structuring of the problem. A companion paper considers the full problem of Market Coupling and counter-trading and presents a more extensive numerical analysis.     

电力现货市场多阶段运行模式模拟分析研究

日前现货市场是电力市场的主要交易模式,为了研究日前现货市场对电力市场结果的综合影响,本文建立了电力现货市场的多阶段运行模式,在此基础上对电力现货市场中的中长期交易电量进行了模拟分解和结算。所模拟的电力现货市场运行模式以是现货市场建设的核心目标,能够实现现货市场和中长期交易电量的有效兼容与协调运行。最后,从发电侧和用户侧两方面对模拟的电力现货市场进行了算例分析,验证了所提模型的有效性。     

考虑新增实体的电力现货市场多方交易出清模型研究

随着电力现货市场改革的推进和含风光储发电等新增实体的发展,建立合理有效的综合市场交易机制来激励含风光储等新增实体参与到电力市场中,是实现交易双方互利共赢和节约环保的重要途径。本文提出一种基于区块链技术的含风光储等新增实体的电力市场多方交易模型,该模型采用区块链技术将电力市场进行去中心化管理,并综合考虑新增实体的低碳环保价值,能够保证市场多方交易的安全、可靠。然后采用GAMES平台中的CPLEX算法进行交易出清模型的优化求解。最后结合算例验证了所提多方交易模型的可行性和有效性。     

基于Java的大规模分布式系统的升级模型

本文分析了大规模分布式系统升级中存在的问题,给出了一种通用性的系统模型,并对模型中的基于BT的文件共享、系统的类动态加载、Java系统更新等关键技术进行了分析,最后总结了该模型的特点。     

一类非线性大系统递阶优化的神经网络方法*

本文给出了一种求解一类非线性大系统递阶优化问题的神经网络模型，克服了非线性大系统优化中的对偶间隙与不可分性问题，并且该神经网络具有全集成化的特点，易于硬件实现，其协调网络和局部优化网络同步工作，具有很高的求解效率，适宜于系统实时优化应用。     

Computational Experience with a Large-Scale,Multi-Period,Spatial Equilibrium Model of the North American Natural Gas System

In this paper we describe numerical results for a market equilibrium model for the North American natural gas system. The model is based on the notion of maximizing total surplus less transportation costs (Takayama and Judge, 1971; Samuelson, 1952) resulting in a large-scale nonlinear program (Gabriel et al., 2000). The model relies on building up supply curves from the bottom up using a data base of some 17,000 natural gas reservoirs. This feature provides a good deal of realism in simulating the effects of technology, market forces, and policy considerations on the supply side of the market while making the computations challenging due to the lack of closed form supply curves. A successive linear programming strategy is employed to solve the overall nonlinear problem. We describe several mathematical algorithms that are employed in the successive LP approach to efficiently compute market equilibrium values. These algorithms are heuristic in nature with excellent convergence results. In the numerical results section of this paper, we describe several experiments regarding schemes to accelerate the overall convergence based on iterative smoothing (similar to a Gauss-Seidel strategy) as well as tests aimed at optimal spatial and temporal aggregation.     

基于三层C/S模型的大型关系数据库应用系统优化设计技术

文章以大型关系数据库ＳＹＢＡＳＥ的应用系统设计为例,探讨了基于三层Ｃｌｉｅｎ／Ｓｅｒｖｅｒ（以下简称Ｃ／Ｓ）模型的大型关系数据库应用系统优化设计技术。     

A Small Model of Market Behavior

A general scheme of cyclic multiphase behavior of interacting production subjects in the conditions of regular payments and no competition was proposed. A small model of market behavior describing the realistic interaction of an electric power plant and an open-pit coal mine was realized in the software form. The results of numerical experiments were described.     

一种求解大规模线性方程组的混合粒子群算法

本文介绍了一种大规模0/1线性方程组的特点,以及用标准粒子群算法求解时出现的不足。为此,提出了一种混合粒子群算法。该算法引入了遗传算法的变异机制,采用自适应惯性权重,动态调节粒子搜索时间,克服了标准粒子群算法求解该类线性方程组时易早熟、收敛精度低的缺点。仿真实验结果表明,采用混合粒子群算法能够有效地求解该类线性方程组。     

一种新的基于大尺寸信息的MRF先验模型

基于马尔可夫随机场理论,Bayesian重建被认为是一种解决图像复原和重建中的病态问题的有效方法。通常,大部分先验模型中的信息都来自小邻域内像素灰度值的简单加权,因此仅能提供给正则化有限的信息。在研究大尺寸信息的过程中,本文提出一种新的非局部先验。在发射断层成像的相关实验表明,该MRF非邻域先验能比传统先验提供更为有效的正则化处理。     

A Comparative Analysis of Various Optimization Models for Electricity Capacity Expansion

Several optimization models have been proposed in the literature to solve the project selection, timing and sequencing problem. Models based on dynamic programming (DP) such as embebed state DP, objective space DP, and others have been used to solve the capacity expansion problem. Also models based on mixed integer linear programming using Benders decomposition theory, and heuristic rules have been proposed to solve that problem. In this paper these models are analyzed and compared from the theoretical point of view. All the reviewed models are then compared using them to define the minimum cost expansion of the Colombian electric sector. The Colombian interconnected electric generation system has about 10,000 MW of installed capacity with a generation composition of 80% hydro-generation plants and 20% thermo-generation plants. the expansion planning of the system has been carried out at a national level using simulation and optimization techniques. All these techniques are reviewed and discussed in this paper. Some conclusions and recommendations are finally presented.     

A Stochastic Multi-agent Optimization Model for Energy Infrastructure Planning under Uncertainty in An Oligopolistic Market

This paper presents a mathematical model for analyzing long-term infrastructure investment decisions in a deregulated electricity market, such as the case in the United States. The interdependence between different decision entities in the system is captured in a network-based stochastic multi-agent optimization model, where new entrants of investors compete among themselves and with existing generators for natural resources, transmission capacities, and demand markets. To overcome computational challenges involved in stochastic multi-agent optimization problems, we have developed a solution method by combining stochastic decomposition and variational inequalities, which converts the original problem to many smaller problems that can be solved more easily.     

“电力市场设计学”的基本概念及方法论

当前电力体制改革已进入深水区,电力市场设计和规则制订已成为电力市场改革主导部门所面临的关键问题,但是电力市场设计的科学方法论尚未建立起来。本文提出“电力市场设计学”的概念,涉及电力系统工程、运筹学、微观经济学、博弈论、拍卖理论、金融学、计算经济学、实验经济学等多学科的知识。电力市场设计学以中国特色社会主义政治经济学作为总体指导思想,树立系统观并掌握系统工程方法,具体设计过程则包括基于经典微观经济学和金融学的电力市场体系初步设计、基于拍卖理论和博弈论的电力市场交易机制设计、基于计算经济学和实验经济学的电力市场仿真和电力市场交易的实地研究等步骤。电力市场设计学的基本方法已应用于南方区域电力市场体系和交易品种设计等工作,其所包含的深刻丰富的内容还有待进一步深入研究和应用。     

一种用于空间对象属性预测的空间广义线性回归模型

泛Kriging和广义线性回归模型是空间对象属性值预测最常用的方法,两种模型各有侧重.本文结合这两种模型的优点,并针对实际问题将两种模型合并,形成新的空间广义线性回归模型,并通过混合模型进行参数估计.实验表明,采用空间广义线性回归预测模型能获得更高的预测精度.     

大规模多分辨率地形模型简化生成方法

针对地形的四叉树简化技术,提出一个简单的裂缝消除算法．该算法不使用递归同样可以使四叉树满足约束条件,简化结果不存在T型连接．利用该算法实现了地形数据的实时显示,并提出了今后的改进思路．     

一种基于市场机制的随机服务系统模型

在市场机制的网格环境中对大量的用户进行有效的排队是很有必要的。本文以随机服务系统理论为基础针对网格计算提出了一种基于市场机制的资源分配系统的接受用户服务的模型。该模型可以提高计算网格资源的随机服务系统性能及其运行的优化和缓解网络堵塞和系统忙,可以提高网格资源分配的均衡和网格系统的运行效率。     

智能电网对电力市场发展的影响

简要介绍了智能电网的定义,分析了智能电网对电力市场发展的影响,以期为相关工作提供参考。