CAJ | 학술논문

风电等新能源发电机组的大规模并网,对传统电力系统的安全稳定运行带来了新的问题.研究了一种含有风?火?储联合运行的混合电力系统,通过构建机组组合问题模型,利用情景树方法模拟风电出力的不确定性的随机特性,将混沌群粒子优化算法引入情景约简算法,改善随机模拟结果和提高最优解的搜寻能力.算例分析结果表明,得到的机组组合方案能够尽量多调度风电机组,降低火电机组的运行成本,适应节能减排工作需要.
풍전등신능원발전궤조적대규모병망,대전통전력계통적안전은정운행대래료신적문제.연구료일충함유풍?화?저연합운행적혼합전력계통,통과구건궤조조합문제모형,이용정경수방법모의풍전출력적불학정성적수궤특성,장혼돈군입자우화산법인입정경약간산법,개선수궤모의결과화제고최우해적수심능력.산례분석결과표명,득도적궤조조합방안능구진량다조도풍전궤조,강저화전궤조적운행성본,괄응절능감배공작수요.
Large-scale grid-integration of new energy sources such as wind power generation and so on leads to new problems in secure and stable operation of traditional power grids. For a hybrid power grid containing thermal power plants, wind farms and energy storage equipments, by means of constructing a unit commitment model and the stochastic property of wind power output uncertainty is simulated by scenario tree. Leading chaos embedded particle swarm optimization (CEPSO) into scenario reduction algorithms (SRA) the results of stochastic simulation and the ability to search the optimal solution are improved. Taking a hybrid power system composed of a wind farm and a 10-machine system as simulation example, simulation results show that the obtained unit commitment scheme can dispatch as many wind power units as possible and the operational cost of thermal generation units can be reduced to suit to the demand of energy conservation and emission reduction.