The Research Of Distribution System Operators In Retail Market With Distributed Generation

In an open electricity market, power distribution system plays a very important and key role, distribution companies in the electricity market to provide users with transmission and distribution services, is to contact the user and a bridge linking the power systems. It can affect the efficiency of markets and to market more reliable, safe and beneficial to all market members. Therefore, in the electricity market environment, distribution companies need to operate on a detailed analysis and research to improve its short-term and long-run strategy.Paper by load forecasting, distribution system operators, interruptible load, and meanings, and classification review of the existing research results.Trend of the results obtained solving the voltage magnitude, voltage angle, line power and other parameters. Distribution systems and equipment with a huge amount of complex structure characteristics, resulting in their analysis difficult. Structure of the widespread use of radiation and the feeder slip resistance and reactance parameters of the universality of the ratio higher, resulting in limitations of their solutions. Power system optimal power flow is from the perspective of stable operation of various control devices to adjust the system parameters to meet the normal nodes and various safety indicators power balance constraints, to achieve the objective function to minimize the optimization process; the usual objective function power generation costs, power consumption or the entire network of net losses. Papers from the economic point of view, the distribution system as the objective function of total loss, with33nodes distribution network as an example, optimal power flow model using distribution power flow calculation.In order to improve the speed and accuracy of short-term load forecasting,considering the combined influence of weather, day type and historical load data, a new short-term load forecasting method is put forward in which the learning samples are selected by the fuzzy clustering,finding out the category coincident with that of the daily load to be forecasted and using the neural network algebra algorithm, a forecasting model for each point in24points are established. This method gives sufficient play to the ability of processing non-linear problems by neural network and fuzzy theory, the learning efficiency are improved,and completely overcome the shortcoming of the traditional BP algorithm. The results show that the proposed method possesses better forecasting accuracy and the forecasting is satisfactory.Thesis, the retail electricity market operating under the framework of the overall distribution system. The operating framework is a two-stage hierarchical model, the first stage, known as the distribution system first stage operating mode/day ahead operating mode (FSOM/DAOM). The second stage involves real-time power distribution system operation, known as second stage operating mode/real-time operating mode (SSOM/RTOM). Consider the needs of the electricity market price fluctuations or changes in the operating structure of distribution system should include alternative electricity supply24hours before the program of preparation and distribution system must also monitor the ever-changing wholesale market prices and predict customer needs.FSOM/DAOM decision results, including:Online Shopping, scheduling their own distributed generating units, interruptible load contracts entered into the decision-making results as SSOM/RTOM constraints; distribution system network configuration and real-time operating under the impact of demand response. There is a distributed system unit power, and there can interrupt the contract signed with the user the possibility of the trend will be significantly different from the traditional feeder distribution system. Therefore, the slip distribution system losses, voltage distribution and branch capacity margin will be affected. Attaches great importance to decision-making power distribution system has to make short-term costs are minimized. Paper distribution network with33nodes as an example of a two-stage operational decision-making model was studied, and construct two different programs to analyze the distribution companies operating behavior and decision-making.Taking into account the existence of a distributed generator and the impact on the distribution system, the paper will be distributed generators into the distribution system sensitivity coefficient of the concept of operating modes. Sensitivity coefficient reflects the distribution systems of distributed generators on the impact of loss. In the distribution system, distributed generators active and reactive power on the impact of the change in loss is known as active/reactive power incremental loss index. Consider the sensitivity coefficient distribution system operating mode, power distribution systems designed to reduce short-term energy costs. Paper distribution network with18nodes was studied as an example.Including solar, wind and small hydropower stations with different technical characteristics of the DG units in distribution system operations, need to adapt to the electricity market operated by a series of theory and technology, including the auction mode, the power market technical support system, so as to promote the resources optimal allocation, increase efficiency and reduce costs. Thesis with different technical characteristics of DG units to participate based on "Capacity Contract+Efficiency displacement+Timely market," the power auction model, and strive for the DG unit power generation technology Bidding lay foundation for improving the management of the electricity market to play a role.