A Research On Wind Hypro Thermal Power Coordinated Dispatch Of Yunnan Power Grid

Considering the increase in the type of energy integrated into the power system, itbecomes meaningful to ensure the priority of clean resources on the premise of powersafety. Meanwhile, effectively coordinate the operation of wind, hydro and thermal power,prevent power system fault and achieve fault restore fastly are both important.According to the limitations of traditional dispatch which pays more attention to theeconomic benefits than the environmental benefits, the essay takes active power cost,reactive power cost, environmental cost and reverse capacity cost of wind power intoaccount. How the energy cost parameters affect the dispatch priority is analyzed throughsimulation.Since the uncertainty of wind power, a optimal power flow(OPF) model, based on thechance-constrained programming(CCP) of the uncertain programming theory, whichconsiders the characteristics of wind, hydro and thermal power is established, aiming atminimizing the priority cost.The model is solved by the primal-dual interior method whichadopts stochastic simulation technology. A optimization model mentioned above based onthe situation of Yunnan power grid is established. Different dispatch approaches areevaluated combined with confidence, pollutant emissions and economic indicators in themodel, and then discusses how wind capacity and forecast error impact on theoptimization result.Power plant bus fault and the fault which results in resisting lots of wind generatorsform paralleling in the grid caused by low-voltage-through failure, will lead to large activepower shortage. Different power plant faults and their influence based on Yunnan powergrid are simulated and analyzed, and then a scheme of backup unit commitment (UC) isdeveloped. Transform the scheme into two sub-problems. The outside sub-problem usesdiscrete particle swam optimization (DPSO) to determine the capacity of on-state unit, andthen uses continuous PSO to satisfy the unit on/off time constraints. The insidesub-problem uses the primal-dual interior method to solve the load dispatch problem.