Transmission Network Planning With Grid-connected Wind Farms Based On Multiple Scenarios And Emergency Demand Side Response

The transmission network expansion planning is the important factor in affectingthe development of power grid. The security and stability of the power grid operationdepends on the reasonable structure of transmission network. With the decrease offossil energy, wind power generation got more and more attention. As theincreasingly high proportion of wind power in power system, the randomness andvolatility of wind farm output has a more obvious effect on transmission grid. Sothere is a certain practical significance to consider the condition of wind powerconnected to grid when studying transmission network planning.When studying the problem of transmission network planning with wind farmconnected, the uncertainties brought by wind power need to be considered. There aremany methods to deal with uncertainty problems. Multi-scenario probability methodis one of them. When making transmission network planning, multi-scenarioprobability method is used, and then the scenarios are divided according to thedifferent wind arm output. On the basis of that, considering the problem ofinsufficient power supply caused by the uncertainty of wind farms output after windfarms connected to the grid, which has an effect on the safe and stable operation ofthe power grid, emergency demand-side response is introduced in transmissionnetwork planning. Cut the load and pay users part of the compensation fees when thewind farm output is small.How to get the comprehensive optimal solution from a series of planningschemes in multi-scenario probability method? The punishment model based on theidea of robust optimization to weigh the robustness and feasibility of the strategy andthe average variable model to assessment the plan，s risk are introduced to evaluate thepros and cons of scheme. And in order to achieve objective real comprehensiveoptimal scheme, entropy TOPSIS method is used to determine the weight ofevaluation index. Example analysis shows that the introduction of emergency demand-side response can effectively reduce the investment cost of power grid andthe amount of line overload and the obtained comprehensive optimal solution has abetter integrated adaptability in probability sense for each scenario.