scholarly journals Optimal Control Strategy of Platform Load Oriented to Network and Load Cooperation

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Xuesong Shao ◽  
Gaoying Cui ◽  
Xiao Chen ◽  
Xinrong Ji ◽  
Yongxian Yi

In recent years, with the continuous growth of China’s power peak load and the rapid development of renewable energy, a large number of renewable energy sources are connected to the power grid, increasing the uncertainty of power grid operation and posing new major challenges to the power system regulation capacity. Flexible load has the characteristics of wide distribution, fast response, and high economy, which is an important control resource for the future power system. Based on the flexible load of commercial buildings and residential users, this paper studies the resource characteristics and response characteristics, clarifies the resource characteristics and demand response characteristic indexes of commercial and residential users, and establishes the response characteristics model of commercial buildings and residential users. Considering the influence of weather, holidays, incentive mechanism, and other factors on the response of flexible load, the quantitative analysis method of flexible load resource regulation potential for regional power grid dispatching was studied, and the feasibility of flexible load resources directly participating in the load control system was analyzed. Based on the uncertainty and mathematical characterization method of the active response of flexible loads, the optimal combination control strategy of demand response resources was proposed to eliminate the problems of heavy load and overload of regional power grid equipment by using the active response ability of flexible loads. Finally, the IEEE 14-node system is selected for simulation verification, which provides a theoretical basis for alleviating the power grid operation pressure in the peak load period of the power grid in the urban core area, improving the safety and economic operation level of regional power grid dispatching and the utilization rate of power grid equipment assets.

2021 ◽  
Vol 257 ◽  
pp. 01058
Author(s):  
Haiyu Huang ◽  
Chunming Wang ◽  
Shaolian Xia ◽  
Huaqiang Xiong ◽  
Baofeng Jiang ◽  
...  

As an important part of energy Internet carrier, demand side resources can participate in many interactions with power grid. In order to reduce the peak to valley load difference of power grid, from the perspective of tapping the combined peak shaving potential of air conditioning load and electric vehicles, guided by TOU price and direct load control, this paper proposes an optimal scheduling model with the minimum load difference and the maximum total revenue of users as the objective function. The results show that the joint optimal scheduling strategy can reduce the peak load and eliminate the “secondary peak load” caused by disorderly charging of electric vehicles.


Author(s):  
W J Zhu ◽  
Z G Liu ◽  
T Cheng ◽  
B Q Hu ◽  
X Z Liu ◽  
...  

2014 ◽  
Vol 953-954 ◽  
pp. 486-492
Author(s):  
Jie Ren ◽  
De Zhi Chen ◽  
Feng Gao ◽  
He Nan Wang ◽  
Jian She Tian ◽  
...  

As wind power in China is developing more and more rapidly, the characteristics of wind power output such as randomness and volatility have brought great pressure to the system peak load regulation. On the basis of defining negative peak regulation ability, this paper gives out the calculation formula of negative peak regulation ability including wind power and the main factors of influencing the negative peak regulation ability are calculated. Aimed at the regional power grid in the target year 2014, this paper makes some analytical prediction on such main factors and calculates the negative peak regulation ability, and the amount of the acceptance of wind power bound by it, and makes some sensitivity analysis of the negative peak regulation ability and the amount of the acceptance of wind power.


2020 ◽  
Vol 194 ◽  
pp. 03013
Author(s):  
Kaiwen Zeng ◽  
Fusheng Li ◽  
Jianing Liu ◽  
Haizhu Wang ◽  
Dan Lin ◽  
...  

As the proportion of flexible load resources in smart grids continues to rise, resulting in increasingly complex grid structures, significant changes in grid characteristics, and increased risks to grid operation and control, it will be difficult to intelligently regulate the grid solely by relying on traditional resource regulation methods, and the dispatchable space for traditional resources will become smaller and smaller. To this end, this paper conducts an exploratory investigation on the modeling techniques for flexible loads participation in smart grid dispatching. First, a classification of the flexible loads involved in grid regulation is made. Secondly, according to the flexible load classification, the modeling techniques of different classes of flexible loads are reviewed and studied; then, the flexible load dispatching modes for different operating states and different control tasks, and under different control methods are discussed deeply. Moreover, the technological economics and feasibility of these different flexible load dispatching modes are compared. Finally, an outlook and conclusion are made.


2020 ◽  
Vol 165 ◽  
pp. 03048
Author(s):  
Dunnan Liu ◽  
Pengfei Li ◽  
Xiaofeng Xu ◽  
Yiding Jin ◽  
Shanzhe Shi ◽  
...  

Ultra-short-term load forecasting is an important basis for optimization and adjustment of power generation plans and dispatch plans. Based on the radial basis function neural network, the inert load is predicted, and the flexible load is predicted based on the price elasticity of electricity demand. Then, combined with the range of the flexible load, an ultra-short-term forecast interval for the total load is constructed. This paper studies the total load after considering the flexible load for demand response, and verifies the feasibility of the proposed method with an example.


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