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Economic Dispatching of Power System with Interline Power Flow Controller Considering Wind Power Uncertainty |
Wu Xi1, Lu Yao1, Cai Hui2, Wang Rui1, Chen Sheng3 |
1. Electrical Engineering College Southeast University Nanjing 210096 China; 2. Economic Research Institute State Grid Jiangsu Power Company Nanjing 210008 China; 3. Development Department State Grid Jiangsu Power Company Nanjing 210024 China |
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Abstract Interline power flow controller (IPFC) proposed is a device with powerful power flow control ability, which provides a new method for power flow control under the increasing integration of large-scale renewable energy. In this paper, a security-constrained economic dispatching method for the power system with IPFC considering wind power uncertainty is proposed. Compared with the conventional method, the proposed method accurately considers the control characteristics of IPFC and can guarantee the security requirement under N-1 contingencies. Firstly, the optimization objective function considering both economy and security is expressed as Equ. (1) in this paper. The wind power output scenarios are predicted based on MARKOV chain, and the security objective function is expressed risk index R, which can be expressed by Equ. (2) in this paper. Furthermore, with full consideration of the control characteristics of IPFC with the double-circuit structure, the equality/inequality constraints of the power system before and after contingencies are established: 1) N-1 contingency occurs on either series side of the IPFC of the double-circuit line. At this time, the converter of the primary line on the fault side loses its control while the converter of the other primary line can still play control functions. Take the N-1 contingency on line nj is taken as an example. At this time, the mathematical expression of control characteristics are Equ.(11) and Equ.(12) in this paper. 2) N-1 contingency occurs on the non-IPFC series side. At this time, the power flow of the line controlled by IPFC remains unchanged before and after the fault. The mathematical expression is Equ. (13) in this paper. Finally, an improved particle swarm optimization algorithm is designed to solve the proposed optimization model with strong nonlinear constraints. In this structure, inequality constraints are treated by penalty function and equality constraints are guaranteed by power flow calculation. The particle velocity and position are constantly updated, and the optimal solution can be obtained after several iterations, that is, the optimal control scheme. The flow chart based on PSO is shown in Fig.4 in this paper. With the strategy obtained by the proposed method and the strategy without considering the IPFC control characteristics, the power flow in the Jiangsu power grid is compared, as shown in Fig.5 and Fig.6 respectively. It can be seen that the line load rate under the strategy obtained by the proposed method meets the security requirement whether the contingency occurs on the line controlled by IPFC or not. It indicates that the strategy obtained by the proposed method can meet the security requirement under N-1 contingencies and improve the static security of the system. The two dispatching strategies obtained by single scenario optimization and the optimization method in this paper are respectively applied to all wind power uncertainty scenarios. The comparison results of the line overload condition of two strategies when serious N-1 contingencies occur in some wind power scenarios are shown in Tab.2 in this paper. Under the background of large-scale wind power integration, the dispatching strategy considering the wind power scenario can satisfy the security constraints of power flow while the single-scenario dispatching strategy cannot.
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Received: 10 November 2021
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