Abstract
The uncertainty of generation and load increases in the transmission network in the power market. Considering the transmission congestion risk caused by various uncertainties of the transmission network, the optimal operation strategies of the transmission network under various operational scenarios are decided, aiming for the maximum of social benefit for the evaluation of the degree of scenario congestion. Then, a screening method for major congestion scenario is proposed based on the shadow price theory. With the goal of maximizing the difference between the social benefits and the investment and maintenance costs of transmission lines under major congestion scenarios, a multi-stage transmission network planning model based on major congestion scenarios is proposed to determine the configuration of transmission lines in each planning stage. In this paper, the multi-stage transmission network planning is a mixed integer linear programming problem. The DC power flow model and the commercial optimization software CPLEX are applied to solve the problem to obtain the planning scheme. The improved six-node Garver power system and the simplified 25-node power system of Zhejiang Province, China are used to verify the effectiveness of the proposed multi-stage planning model.
Highlights
Nowadays, China’s power market system is in the accelerating progress of changing from monopoly and regulation to competition [1,2]
In order to improve the ability of transmission network planning model to mitigate the risk of transmission congestion, transmission network planning considering major congestion scenarios is carried out according to the optimized dispatching results of operation scenarios and the screening results of congestion scenarios based on the economic dispatching model
By analyzing the major congestion scenarios obtained in the planning, Before planning it can effectively help the power system planners to identify the power system congestion risk sources
Summary
China’s power market system is in the accelerating progress of changing from monopoly and regulation to competition [1,2]. The transmission network planning based on probabilistic analysis should be studied considering the uncertainties of natural environment, generators, loads, and policies on power generation, transmission, and demand side. A multi-objective transmission network expansion planning model considering the investment cost, risk cost, and congestion cost of the transmission network is established. The transmission network model based on scenario analysis describes the uncertainties as multiple individual probabilistic scenarios, which reduces the difficulty of solving while considering the coupling of uncertain risks [38]. Aiming at the above problems, a multi-stage transmission network planning method considering transmission congestion in the power market is presented in this paper. A multi-stage planning model for a transmission network considering transmission congestion is established, with the maximum difference between the social benefits and the investment and maintenance costs of transmission line under severe congestion scenarios. Garver power system and simplified 25-node power system of Zhejiang Province, China
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