不同交易模式下工业用户峰谷分时电价优化模型研究
发布时间：2019-06-11 13:38
【摘要】：当前我国正处于电力市场化改革的过渡时期,我国部分地区须继续沿用现有的电力市场模式和电价形成机制,而部分地区将持续推进电价的市场化改革试点,未来一段时间内电网直接购售电和电网转售电两种不同的交易模式将在我国电力市场上同时存在,并持续影响着重要市场参与方工业用户的利益。因此本文以工业用户在不同交易模式下的电价为研究对象,在不同的交易模式下引入峰谷分时电价的思想,对工业用户峰谷分时电价优化模型进行研究。为工业用户在新电改过渡时期的电价优化及政府电价指导政策的制定提供理论支撑。论文的主要内容包括四个部分:第一,梳理了电力市场主要模式,分析了不同交易模式的特点以及在各交易模式下工业用户电价的特征并制定了各交易模式下工业用户峰谷分时电价优化模型的优化原则。第二,采用LSSVM回归算法构建了工业用户需求响应函数,并以峰时段平均负荷最小及峰谷负荷差最小为优化目标建立了电网直接购售电模式下工业用户峰谷分时电价优化模型。在此基础上,核算了售电侧工业用户峰谷分时电价实施所引起的长期及短期社会效益的增量,以长期社会最大化为优化目标,以短期社会最大化为约束条件,建立了发售电联动的峰谷分时电价优化模型。第三,建立了电网转售电模式下日前市场电价模型,以工业用户边际收益及发电企业边际成本为基础,按照峰、平、谷三时段对工业用户和发电企业的报价模型进行了构建,并以交易各方社会总效益最大化为优化目标设定市场出清条件。然后,采用模糊Q算法,建立了各时段电价动态均衡模型,引入限制性价格波动幅度作为各时段的市场出清价格的约束条件,构建了工业用户峰谷分时电价优化模型。第四,分别对电网直接购售电交易模式下工业用户峰谷分时电价优化模型及电网转售电交易模式下工业用户峰谷分时电价优化模型进行了仿真分析。在电网直接购售电模式下,得到了各电压等级下售电侧最优峰谷分时电价方案,并且得到了可以使得发电、电网及用户在短期内利益均不受损的发电侧峰谷分时电价方案集。在电网转售电交易模式下,得到了在不进行限价下的峰谷分时市场出清价格。并得到了在进行政府价格优化后的最优电价方案,计算了社会总效益。
[Abstract]:At present, China is in the transitional period of power marketization reform. Some areas of our country should continue to follow the existing electricity market model and electricity price formation mechanism, and some regions will continue to promote the pilot market reform of electricity price. In the future, two different trading modes, direct power purchase and resale, will exist at the same time in China's power market, and will continue to affect the interests of industrial users of important market participants. Therefore, this paper takes the electricity price of industrial users under different trading modes as the research object, and introduces the idea of peak and valley time-sharing electricity price under different trading modes, and studies the optimization model of peak-valley time-sharing electricity price of industrial users. It provides theoretical support for the optimization of electricity price and the formulation of government electricity price guidance policy for industrial users in the transition period of new power reform. The main content of this paper includes four parts: first, it combs the main mode of power market. This paper analyzes the characteristics of different trading modes and the characteristics of industrial user electricity price under each transaction mode, and formulates the optimization principle of industrial user peak and valley time-sharing electricity price optimization model under each transaction mode. Secondly, the LSSVM regression algorithm is used to construct the demand response function of industrial users, and the optimization model of peak-valley time-sharing electricity price of industrial users under the mode of direct power purchase and sale is established, taking the minimum average load of peak time and the minimum load difference of peak and valley as the optimization objectives. On this basis, the increment of long-term and short-term social benefits caused by the implementation of peak and valley time-sharing electricity prices of industrial users on the power sales side is calculated, with the long-term social maximization as the optimization goal and the short-term social maximization as the constraint condition. The peak and valley time-sharing electricity price optimization model of sale power linkage is established. Thirdly, the pre-day market electricity price model under the power grid resale mode is established. Based on the marginal income of industrial users and the marginal cost of power generation enterprises, the quotation model of industrial users and power generation enterprises is constructed according to the peak, flat and valley periods. In order to maximize the total social benefits of the parties to the transaction, the market clearing conditions are set for the optimization goal. Then, the dynamic equilibrium model of electricity price in each period is established by using fuzzy Q algorithm, and the restricted price fluctuation amplitude is introduced as the constraint condition of market clearing price in each period, and the optimization model of peak and valley time-sharing electricity price for industrial users is constructed. Fourth, the optimization model of peak and valley time-sharing electricity price of industrial users under the mode of direct power purchase and sale of power grid and the optimization model of peak and valley time-sharing price of industrial users under the mode of power grid resale transaction are simulated and analyzed respectively. Under the mode of direct power purchase and sale, the optimal peak and valley time-sharing electricity price scheme for each voltage level is obtained, and a set of peak-valley time-sharing electricity price schemes for power generation, power grid and users are obtained, which can make the interests of power generation and users undamaged in a short period of time. In the power grid resale transaction mode, the peak and valley time-sharing market clearing price is obtained without price limit. The optimal electricity price scheme after government price optimization is obtained, and the total social benefit is calculated.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.61
本文编号：2497226
[Abstract]:At present, China is in the transitional period of power marketization reform. Some areas of our country should continue to follow the existing electricity market model and electricity price formation mechanism, and some regions will continue to promote the pilot market reform of electricity price. In the future, two different trading modes, direct power purchase and resale, will exist at the same time in China's power market, and will continue to affect the interests of industrial users of important market participants. Therefore, this paper takes the electricity price of industrial users under different trading modes as the research object, and introduces the idea of peak and valley time-sharing electricity price under different trading modes, and studies the optimization model of peak-valley time-sharing electricity price of industrial users. It provides theoretical support for the optimization of electricity price and the formulation of government electricity price guidance policy for industrial users in the transition period of new power reform. The main content of this paper includes four parts: first, it combs the main mode of power market. This paper analyzes the characteristics of different trading modes and the characteristics of industrial user electricity price under each transaction mode, and formulates the optimization principle of industrial user peak and valley time-sharing electricity price optimization model under each transaction mode. Secondly, the LSSVM regression algorithm is used to construct the demand response function of industrial users, and the optimization model of peak-valley time-sharing electricity price of industrial users under the mode of direct power purchase and sale is established, taking the minimum average load of peak time and the minimum load difference of peak and valley as the optimization objectives. On this basis, the increment of long-term and short-term social benefits caused by the implementation of peak and valley time-sharing electricity prices of industrial users on the power sales side is calculated, with the long-term social maximization as the optimization goal and the short-term social maximization as the constraint condition. The peak and valley time-sharing electricity price optimization model of sale power linkage is established. Thirdly, the pre-day market electricity price model under the power grid resale mode is established. Based on the marginal income of industrial users and the marginal cost of power generation enterprises, the quotation model of industrial users and power generation enterprises is constructed according to the peak, flat and valley periods. In order to maximize the total social benefits of the parties to the transaction, the market clearing conditions are set for the optimization goal. Then, the dynamic equilibrium model of electricity price in each period is established by using fuzzy Q algorithm, and the restricted price fluctuation amplitude is introduced as the constraint condition of market clearing price in each period, and the optimization model of peak and valley time-sharing electricity price for industrial users is constructed. Fourth, the optimization model of peak and valley time-sharing electricity price of industrial users under the mode of direct power purchase and sale of power grid and the optimization model of peak and valley time-sharing price of industrial users under the mode of power grid resale transaction are simulated and analyzed respectively. Under the mode of direct power purchase and sale, the optimal peak and valley time-sharing electricity price scheme for each voltage level is obtained, and a set of peak-valley time-sharing electricity price schemes for power generation, power grid and users are obtained, which can make the interests of power generation and users undamaged in a short period of time. In the power grid resale transaction mode, the peak and valley time-sharing market clearing price is obtained without price limit. The optimal electricity price scheme after government price optimization is obtained, and the total social benefit is calculated.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.61
【引证文献】
相关博士学位论文 前1条
1 喻小宝;电力市场环境下售电公司购售电交易优化模型研究[D];华北电力大学(北京);2018年
，本文编号：2497226
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