Multi-objective Transmission Planning Associated With Large Scale Wind Farms Based On The Probability

In order to deal with the world-wide energy crisis, wind farms have developedrapidly in recent years to generate electric power from renewable wind power.However, wind power is variable and intermittent and it therefore introduces an extrafactor of uncertainties for power system operation and planning. The network withlarge proportion of wind power will have more power flow fluctuations. Therefore,the deterministic transmission network expansion methods, which only account forone operation scenario, are unsuitable for the planning with stochastic power outputfrom wind farms.In addition, restructuring and deregulation of power industry has exposedtransmission planner to new objectives and uncertainties, such as how to handleuncertain factors concerning the planning of new power plants as well as the demandmanagement. Therefore, new criteria and approaches are needed for transmissionexpansion planning in deregulated environment considering the influence of windfarm brought to the power transmission network planning.In this paper, considering the influence of wind power fluctuation totransmission network planning in power market environment, the algorithm of multi-objective transmission network planning of large-scale wind power integration isproposed, and a multi-objective function of transmission network planning isestablished, containing the investment cost, the risk cost and the transmissioncongestion cost.The problem of wind power uncertainty is solved by the Monte Carlo simulationmethod combined with the two-point estimate algorithm. On the basis of the analysisof characteristics of planning objectives and the problem itself, use the twoprogramming algorithm to solve the transmission congestion cost, and the multi-objective particle swarm algorithm is proposed to solve the whole problem, finallythe final optimal solution is presented. In order to verify the validity of the proposed method and effectiveness of thealgorithm in this paper, modified IEEE-24system is analyzed under three kinds ofwind power conditions in the MATLAB environment, cases showed that theexpanded transmission system can satisfy demands from network users and provide afair environment to all market participants.