Model and application of renewable energy accommodation capacity calculation considering utilization level of inter-provincial tie-line

Abstract

At present, the problem of abandoning wind and PV power in "Three North" region of China is particularly significant, and how to alleviate this problem has become the focus of universal attention. Calculation of renewable energy accommodation capacity is the basis to solve the problem of abandoning wind and PV power. Main problems of Chinese renewable energy accommodation is analyzed from power supply, power grid and load side aspects, and it focuses on the effect of inter-provincial tie-line to renewable energy accommodation capacity. At present, the interprovincial tie-line utilization level is limited, which affected renewable energy accommodation to a certain extent. Based on the sequential production simulation model, a new kind of renewable energy accommodation capacity model is put forward considering the utilization level of inter-provincial tie-line. According to different system stability constraints and different electricity constraints of inter-provincial tie-line, 4 schemes are designed for comparative analysis, and the evaluation model is used to calculate renewable energy accommodation capacity of "Three North" region of China in 2020. Example analysis results verify validity of the model that releasing curve constraints, electricity constraints and stability constraints in turn can significantly enhance renewable energy accommodation capacity through effective use of inter-provincial tie-line transmission capacity. Research work in this paper can provide strong support for the planning and scheduling control of power grid.

Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study

“…In this condition, we cannot determine which of the reflected travelling waves from terminal P and the reflected travelling wave from terminal N reaches the terminal M first, because the relationship between t P − t N = 2(l 2 + x F − l 1 − l 3 ) and 0 cannot be judged. However, this does not affect the judgment of the fault section, because only when the section TN is faulty, the two travelling waves that finally arrived at terminal M are the reflected travelling wave from the connection point T and the reflected travelling wave from fault point F. Moreover, no matter whether the reflected travelling wave from terminal N reaches the terminal M first or the reflected travelling wave from terminal P first reaches the terminal M, their time relationship with the arrival time of the initial wave will not change, as shown in Equation (5). The times of travelling waves arriving terminal M are listed in Table 6.…”

“…With the global emphasis on environmental protection and the recent acceleration of urbanization, an increasing number of clean energy sources, e.g., wind turbines and photovoltaics, have been merged into the Chinese power grid through 110 kV transmission lines [1][2][3][4]. Particularly, the Yunnan power grid is the regional power grid with the highest proportion of clean energy power generation in China, which is an important power base for China's significant national strategy of power transmission from west to east [5][6][7][8]. Therefore, 110 kV grids are the significant part of the Yunnan power grid for large-scale clean energy integration and power supply for cities [9][10][11][12].…”

Global Maximum Power Point Tracking of PV Systems under Partial Shading Condition: A Transfer Reinforcement Learning Approach

“…The metrical data are mainly selected from four representative days of four different seasons in 2016, in which the interval of data is set to 10 min. Note that the randomness and intermittence of solar energy and renewable energy system (RES) [34][35][36][37] is a very common issue usually resulting from uncertain atmospheric conditions. Figures 12 and 13 demonstrate the output power of seven algorithms for MPPT in different seasons.…”

A Bilateral Tradeoff Decision Model for Wind Power Utilization with Extensive Load Scheduling

“…Solve the proposed model by MODE to obtain the solution asx and the objective value asv. 2 Sort the M optimal values in an ascending order, and denote the Lth valuev L asv Ls .…”

“…Wind power, which is clean and renewable, has been integrated with the grid on a large scale to replace fossil fuels [1,2]. A lot of countries have set goals for high-penetration wind power levels in the grid to increase the wind power utilization.…”