中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
1期
168-178
,共11页
朱星阳%刘文霞%张建华%吴旭%蒋程%邱威
硃星暘%劉文霞%張建華%吳旭%蔣程%邱威
주성양%류문하%장건화%오욱%장정%구위
随机潮流%不平衡功率%调频%解析模型%混合法
隨機潮流%不平衡功率%調頻%解析模型%混閤法
수궤조류%불평형공솔%조빈%해석모형%혼합법
probabilistic load flow (PLF)%unbalance power%frequency modulation%analysis model%hybrid method
为提高解析法随机潮流结果与系统实际情况的吻合程度,将动态潮流的思想引入随机潮流分析,研究计及频率调节的动态随机潮流模型与算法。结合实际运行中系统调频响应过程,采用分段函数建立动态不平衡功率分配模型;与常规随机潮流模型联合,推导得出计及调频作用的电力系统随机潮流模型;并根据机组调频能力不足对不平衡功率分配的影响,对上述模型进行修正。为保证模型求解方法的实用性,结合常规解析法和模拟法提出一种随机潮流混合求解法。该求解方法简单、易实现,相对于常规解析法系统随机性处理能力增强,相对于常规模拟法求解速度大大提高且可保证较高计算精度。以IEEE 24节点系统为例,分析验证了所提模型和方法的有效性。
為提高解析法隨機潮流結果與繫統實際情況的吻閤程度,將動態潮流的思想引入隨機潮流分析,研究計及頻率調節的動態隨機潮流模型與算法。結閤實際運行中繫統調頻響應過程,採用分段函數建立動態不平衡功率分配模型;與常規隨機潮流模型聯閤,推導得齣計及調頻作用的電力繫統隨機潮流模型;併根據機組調頻能力不足對不平衡功率分配的影響,對上述模型進行脩正。為保證模型求解方法的實用性,結閤常規解析法和模擬法提齣一種隨機潮流混閤求解法。該求解方法簡單、易實現,相對于常規解析法繫統隨機性處理能力增彊,相對于常規模擬法求解速度大大提高且可保證較高計算精度。以IEEE 24節點繫統為例,分析驗證瞭所提模型和方法的有效性。
위제고해석법수궤조류결과여계통실제정황적문합정도,장동태조류적사상인입수궤조류분석,연구계급빈솔조절적동태수궤조류모형여산법。결합실제운행중계통조빈향응과정,채용분단함수건립동태불평형공솔분배모형;여상규수궤조류모형연합,추도득출계급조빈작용적전력계통수궤조류모형;병근거궤조조빈능력불족대불평형공솔분배적영향,대상술모형진행수정。위보증모형구해방법적실용성,결합상규해석법화모의법제출일충수궤조류혼합구해법。해구해방법간단、역실현,상대우상규해석법계통수궤성처리능력증강,상대우상규모의법구해속도대대제고차가보증교고계산정도。이IEEE 24절점계통위례,분석험증료소제모형화방법적유효성。
To improve the fitting degree between analysis results and actual situation, the idea of dynamic power flow was introduced into probabilistic load flow (PLF) analysis to research the model and algorithm of PLF considering frequency modulation. Based on processes of frequency response in real system, the analytical model of dynamic unbalance power distribution was established by use of piecewise functions. And the model was combined with traditional PLF model to establish the model of PLF considering frequency modulation. The proposed PLF model was modified according to the impact of insufficient frequency modulation on unbalance power distribution. To ensure the practicality of the model solution, a hybrid method was proposed, which is simple and easy to realize. Compared with conventional analytical method, the proposed method has more powerful capacity of random processing. Compared with conventional simulation method, the solving speed can be greatly improved while keeping higher calculation accuracy. The effectiveness of the proposed model and method was verified via IEEE 24 bus system tests.