bidding prayer

与bidding prayer相关的网络例句 [注：此内容来源于网络，仅供参考]

The main research results in this dissertation can be given as following:Firstly, the bidding strategies and affections of generation companies on the TOU power price are analyzed; Supply function model is employed to simulate the bidding strategies of generation companies in power pool. Some meaningful results are obtained through the proposed equilibrium equations model, when different bidding parameters are selected to maximize profit of suppliers, such as the the numeral of generation company, the block bidding, and power demand elasticity. Based on these results, the affections between the bidding strategies and the TOU power price are discussed.Secondly, the important principles consider the factor of bidding strategies of generation companies and consumers gaming strategies are proposed to constitute the new TOU power price model under present electricity market. Based on these pricinples a new mathematical model of TOU power price is constructed, to evade electricity market risk, partition the peak-valley, ascertain the consumers' response curve, and protect the ambilateral profits.Thirdly, the affections of the TOU power price strategies for reducing the network loss, adjusting node voltage, improving load curve of power system, and protecting the consumers' benefits in electricity market are analyzed with applications of a city real time load data of Jiangsu province.

针对"厂网分开，竞价上网"的电力市场运营模式，本文主要完成了以下研究工作：1研究了发电商不同的竞价上网策略，利用供给函数均衡方法，建立了发电商的竞价上网策略模型，给出了市场均衡解的具体解法；讨论了不同条件下发电商的竞价策略对市场的影响，并获得了发电商的最优上网竞价策略，明确了竞价上网与峰谷分时电价之间的影响因素；利用电力系统负荷曲线，建立了发电商最优竞价策略与峰谷分时电价之间的相互联系，通过仿真算例分析了峰谷分时电价与发电商最优报价之间的相互影响。2提出了"厂网分开，竞价上网"电力市场模式下，考虑发电侧竞价和用户侧博弈等风险因素影响，峰谷分时电价理论建模在规避电网企业运营风险，保护供电方与用户双方的利益、确定用户响应曲线、划分峰谷时段、设置合理的电价拉开比等方面所应遵循的基本原则，在此基础上建立了适合电力市场模式的峰谷分时电价模型。3从原理上分析了需求侧实行峰谷分时电价策略，对削峰填谷，提高负荷率，改善负荷曲线形状，降低电力系统的电能损耗和电压损耗等方面的影响，并进行了仿真验证。

The main research results in this dissertation can be given as following:Firstly, the bidding strategies and affections of generation companies on the TOU power price are analyzed; Supply function model is employed to simulate the bidding strategies of generation companies in power pool. Some meaningful results are obtained through the proposed equilibrium equations model, when different bidding parameters are selected to maximize profit of suppliers, such as the the numeral of generation company, the block bidding, and power demand elasticity. Based on these results, the affections between the bidding strategies and the TOU power price are discussed.Secondly, the important principles consider the factor of bidding strategies of generation companies and consumers gaming strategies are proposed to constitute the new TOU power price model under present electricity market. Based on these pricinples a new mathematical model of TOU power price is constructed, to evade electricity market risk, partition the peak-valley, ascertain the consumers' response curve, and protect the ambilateral profits.Thirdly, the affections of the TOU power price strategies for reducing the network loss, adjusting node voltage, improving load curve of power system, and protecting the consumers' benefits in electricity market are analyzed with applications of a city real time load data of Jiangsu province.

针对&厂网分开，竞价上网&的电力市场运营模式，本文主要完成了以下研究工作：1研究了发电商不同的竞价上网策略，利用供给函数均衡方法，建立了发电商的竞价上网策略模型，给出了市场均衡解的具体解法；讨论了不同条件下发电商的竞价策略对市场的影响，并获得了发电商的最优上网竞价策略，明确了竞价上网与峰谷分时电价之间的影响因素；利用电力系统负荷曲线，建立了发电商最优竞价策略与峰谷分时电价之间的相互联系，通过仿真算例分析了峰谷分时电价与发电商最优报价之间的相互影响。2提出了&厂网分开，竞价上网&电力市场模式下，考虑发电侧竞价和用户侧博弈等风险因素影响，峰谷分时电价理论建模在规避电网企业运营风险，保护供电方与用户双方的利益、确定用户响应曲线、划分峰谷时段、设置合理的电价拉开比等方面所应遵循的基本原则，在此基础上建立了适合电力市场模式的峰谷分时电价模型。3从原理上分析了需求侧实行峰谷分时电价策略，对削峰填谷，提高负荷率，改善负荷曲线形状，降低电力系统的电能损耗和电压损耗等方面的影响，并进行了仿真验证。

Firstly, after the analysis on probability distribution of GenCos' bidding results, a concept of bid acceptance probability distribution function of GenCos is proposed; then based on the features of bidding structure in day-ahead and real-time markets, a multi-objective bi-level programming bidding strategy model in day-ahead and real-time markets for GenCos is built for electricity markets in which the step-wise bidding function and pay-as-bid settlement protocols are utilized; and then in order to solve the proposed model an algorithm based on Monte Carlo method and genetic algorithm is designed; finally, the simulation of numerical examples are performed to verify the correctness of the proposed model and algorithm.

首先在分析了发电商竞价结果的概率分布之后，提出了发电商竞价成功概率分布函数的概念。然后基于日前和实时市场中投标结构的特点，针对采用分段报价和按报价结算(pay as bid price，PAB)方式的电力市场，建立了日前和实时市场中发电商的多目标二层规划竞价策略模型，并设计了以蒙特卡罗方法和遗传算法为基础的求解算法。最后采用算例对所提出的模型和算法进行了仿真验证。

与bidding prayer相关的网络解释 [注：此内容来源于网络，仅供参考]

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