CAJ | 학술논문

针对风电机机组出力的随机性，将机会约束规划用于优化风电场的装机容量，建立了以风电场净收益最大为规划目标，以投资成本、线路的传输能力限制、系统对旋转备用的要求以及常规机组出力限制等为约束的数学模型。将蒙特卡洛模拟方法与遗传算法相结合对上述模型进行求解。以IEEE30节点系统为例进行仿真，验证了文中方法的有效性。文中方法综合考虑系统运行约束和经济约束，能找到风电场效益最大的风电场容量以及相应的风电场最大收益，具有较好的工程应用价值。
침대풍전궤궤조출력적수궤성，장궤회약속규화용우우화풍전장적장궤용량，건립료이풍전장정수익최대위규화목표，이투자성본、선로적전수능력한제、계통대선전비용적요구이급상규궤조출력한제등위약속적수학모형。장몽특잡락모의방법여유전산법상결합대상술모형진행구해。이IEEE30절점계통위례진행방진，험증료문중방법적유효성。문중방법종합고필계통운행약속화경제약속，능조도풍전장효익최대적풍전장용량이급상응적풍전장최대수익，구유교호적공정응용개치。
In view of uncertain output of wind turbine generators, the chance constrained programming is used to optimize the installed capacity of wind farm. Taking the maximum net income of wind farm as the objective of programming and taking investment cost, limit of transmission capacity of lines, requirement of power grid to spinning reserve and output limits of conventional generation units and so on as constraints, a mathematical model of chance constrained programming is built. The proposed model is solved by combining Monte Carlo simulation with genetic algorithm （GA）. Taking IEEE 30-bus system for example, the effectiveness of the proposed method is verified. Because system operation constraint and economic constraint are synthetically considered, so the wind farm capacity, by which the maximum effect of wind farm as well as corresponding maximum net income of wind farm could be achieved, can be determined.