The power grid load shows a trend of diversified development. With the continuous increase of the power grid construction scale, it is very important to optimize the power supply of the distribution network and improve the utilization of assets and equipment by using the peak valley complementary characteristics of multiple loads. In this paper, the peak-valley fluctuation characteristics of load are classified and analyzed. Cluster analysis is used to study the load classification with stable peak-valley characteristics in the complex load composition. Based on the peak-peak superposition and peak-valley complementary characteristics of the classified load, and considering the load space dimension, the multi-load optimization combination method for the whole period and time segment is proposed, and verified by simulation.
The green energy transformation of big data centers with high energy consumption is important in promoting carbon neutrality. With zero carbon as the goal, this paper designs three scenarios of source-grid-load-storage collaboration in big data industrial park, namely, company-centric, user-centric, and market-centric. Then, the optimal allocation model of energy storage in zero-carbon big data industrial park with maximum profit is established, and its business model is analyzed with the financial evaluation method. Finally, this paper takes Zhangbemiaotan Big Data Industrial Park as an example, discusses the economy of the three scenarios combined with national policies, and puts forward suggestions on establishing a feasible business model of zero-carbon big data industrial Park.
Given that the aerial image to scan overhead transmission line contains complex backgrounds and small objects, it is difficult for traditional algorithms to accurately identify the details of power transmission lines, so this paper develops an object detection method based on improved YOLOv5s. To improve the detecting accuracy of small objects, the network structure is optimized by adding a larger scale detection layer and jump connections. Then, a self-attention mechanism is introduced to merge the feature relationships between spatial and channel dimensions. The self-attention mechanism could suppress the interference of complex backgrounds and boost the salience of objects. In addition, this paper proposes a small object enhanced complete intersection-over-union as the loss function of the bounding box regression. This loss function could adjust the derived loss for objects of different sizes automatically, therefore, improving the detection of small samples. The experimental results demonstrate that compared to classic YOLOv5s, the detection accuracy of our algorithm is improved by 4.2%.
As the batteries of Uninterruptible Power Supply (UPS) in the Internet Data Center (IDC) is only effective in the case of power failures, the large amounts of batteries are idle during normal operation. To meet the efficient, green and reliable power supply requirements of IDC, and activate the “sunk asset” of UPS batteries, the Energy storage type of UPS (EUPS) architecture with bidirectional power regulation and active grid support is proposed in this paper. The main target is to maximize the use of batteries in UPS through the function upgrading from backup to energy storage. The topology and control strategy of EUPS are analyzed first. And the cooperative mechanism of EUPS participating in the grid fast frequency and voltage regulation, AGC, AVC, peak-valley shaving and their combined is interpreted accordingly. Finally, the effectiveness of EUPS and its control strategy are verified through simulation cases.
The hot and cold power joint supply system (CCHP) has a high energy conversion rate, which plays a very important role in promoting the development of energy conservation and emission reduction work in China. However, due to the fixed electric heat ratio, the hot and cold power supply system needs to be closely coordinated with the power grid and ignition replenishment equipment to achieve the ideal effect. Through the flexible load parameter and user load variable value, the comprehensive objective function performs scheduling analysis. After a series of analysis results prove that the optimization strategy can effectively save cost and reduce greenhouse gas emissions.
