CAJ | 학술논문

以智能工程理论和不确定理论机会测度为基础，扩充了智能工程优化理论，提出了智能工程优化协调算子、机会路径和αβ-机会解。将风电出力视为随机变量、将需求方响应资源视为模糊变量，对智能输电网规划问题进行智能工程混合模型建模，并采用分层协调机制求解，通过各参与方的交互协调得到满足各方目标的智能工程机会解。利用IEEE30节点系统算例对所提方法进行验证，结果表明，分层协调求解算法可有效处理电网规划中面临的多重不确定性，考虑需求方响应资源的电网规划统筹考虑了各方利益，规划效果更优。
이지능공정이론화불학정이론궤회측도위기출，확충료지능공정우화이론，제출료지능공정우화협조산자、궤회로경화αβ-궤회해。장풍전출력시위수궤변량、장수구방향응자원시위모호변량，대지능수전망규화문제진행지능공정혼합모형건모，병채용분층협조궤제구해，통과각삼여방적교호협조득도만족각방목표적지능공정궤회해。이용IEEE30절점계통산례대소제방법진행험증，결과표명，분층협조구해산법가유효처리전망규화중면림적다중불학정성，고필수구방향응자원적전망규화통주고필료각방이익，규화효과경우。
The intelligent engineering （IE） optimization theory is extended and Optimal coordination operators, chance path, αβ-chance solution are proposed by means of the IE theory and the chance measure of the uncertainty theory. Taking wind power output as a random variable and demand response resource as a fuzzy variable, smart transmission grid planning is modeled by using the IE hybrid model and is solved with the hierarchical coordination mechanism. Then the chance solution can be obtained through coordination between participators. To assess the validity of the approach proposed, tests are performed on a modified IEEE 30-bus system. The results show that the hierarchical coordination algorithm can effectively address multi-uncertainties in grid planning. Transmission grid planning that takes into account the demand response resource .has given an overall consideration of all the interests involved besides being better in performance.