标题：Study on day-ahead dispatch strategy of active distribution network
作者：Dou, Zhenhai ;Niu, Huanna ;Gao, Yan ;Yang, Minghao ;Yang, Rengang
作者机构：[Dou, Zhenhai ;Niu, Huanna ;Gao, Yan ;Yang, Minghao ;Yang, Rengang ] College of Information and Electrical Engineering, China Agricultural University, 更多
来源：Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
摘要：Comparing with the traditional distribution network, optimization scheduling of an active distribution network no longer passively conducts power distribution. Because controllable and adjustable distributed power can be scheduled as a resource to provide electricity power for the medium voltage distribution network, and micro-grid power can be used as supply-side resources or load-side resources to participate in scheduling, thus medium voltage distribution network became an active distribution network that can be a bidirectional dispatch electricity distribution network type. Thus, because the distributed generation and micro-grid are connected to the medium voltage distribution network, it constitutes an active distribution network. If power companies rationally use a bidirectional dispatch function of an active distribution network, not only the profit of the power company is increased but also the environment is protected. The major issue of this paper is how to maximize the profit of a power company by rationally scheduling the micro-grid and distributed power in an active distribution network. Research of foreign scholars has mainly focused on the purchase power plan of power companies in the electricity market. That is maximizing profit of a power company by making an optimization purchase power plan under the conditions that account for the distributed generation and load shedding. China's power is one of public utilities. It is impossible for us to take measures of load shedding for the benefit of a power company. Moreover, the market mechanism of the power distribution side is also uncertain. However, a medium/low voltage distribution network connected by distributed power and micro-grid of different investors has become a trend under the policy support. Therefore, for the power company, it is different from other states how to schedule distributed power and micro-grid. In fact, after the micro-grid and distributed power are connected to a medium/low voltage distribution network, electricity sales of the power company are bound to decrease and operating income will accordingly be reduced, which is an avoided problem in previous research. All scheduling models proposed in the studies are based on the goal of the lowest supply power cost, and are not concerned with who gets the operating income. However, this is the most significant problem of power companies. In this paper, a novel day-ahead scheduling model of active distribution network is supposed. The goal of this model is maximizing the profit of the power company. And it is more objectively described as purchase power costs and sale power revenues of Chinese power companies with an active distribution network. Moreover, this model takes into account the various power prices of different distributed power, the incentive policies of government and government subsidies of the power company. More importantly, because the network losses of distribution lines in high voltage network before the inlet of medium voltage distribution network is correlated strongly with its electrical distance. This model accounts for the profit of the power company which network losses are reduced owing to use of distribute power and micro-grid. Using this model, the active medium voltage distribution networks are scheduled in different locations, which not only can achieve greater efficiency of power companies through accessing the distribute power and micro-grid at the location away from the main network, but also don't face losses in close supply power with the new energy accesses through reasonable scheduling. In this paper, examples of IEEE33 node demonstrate the effectiveness and feasibility of the model. The results can provide a reference for optimization scheduling of the active distribution network.