电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2014年
3期
94-99
,共6页
付锦%王先洪%欧智乐%苏旭辉%赵廷刚
付錦%王先洪%歐智樂%囌旭輝%趙廷剛
부금%왕선홍%구지악%소욱휘%조정강
动态电网规划%类电磁机制%多目标优化%动态规划模型%多阶段%自适应
動態電網規劃%類電磁機製%多目標優化%動態規劃模型%多階段%自適應
동태전망규화%류전자궤제%다목표우화%동태규화모형%다계단%자괄응
dynamic power network planning%electromagnetism-like mechanism (ELM)%multi-objective optimization%dynamic planning model%multi-stage%self-adaptive
基于动态规划思想,提出将类电磁机制(Electromagnetism-Like Mechanism,ELM)算法应用于多目标动态电网规划。消除了总矢量力对距离的过分倚重,并借鉴被动聚集思想,提升了种群移动模型的抗扰动和全局寻优能力。在权重、局部搜索、变异等环节均采用自适应策略来改善寻优速度,利用精英策略提高收敛效率。通过增设的马尔科夫性约束,避免了架线复拆。采用加权法和罚函数法,将描述电网经济性、可靠性、静态 N?1安全的多目标进行统一度量,以体现规划方案的综合满意度。通过对19节点、46节点系统进行十进制编码测试,结果验证了该算法能有效地解决多目标动态电网规划。与遗传算法相比,改进的ELM在寻优效率和容错性方面具有明显优势。
基于動態規劃思想,提齣將類電磁機製(Electromagnetism-Like Mechanism,ELM)算法應用于多目標動態電網規劃。消除瞭總矢量力對距離的過分倚重,併藉鑒被動聚集思想,提升瞭種群移動模型的抗擾動和全跼尋優能力。在權重、跼部搜索、變異等環節均採用自適應策略來改善尋優速度,利用精英策略提高收斂效率。通過增設的馬爾科伕性約束,避免瞭架線複拆。採用加權法和罰函數法,將描述電網經濟性、可靠性、靜態 N?1安全的多目標進行統一度量,以體現規劃方案的綜閤滿意度。通過對19節點、46節點繫統進行十進製編碼測試,結果驗證瞭該算法能有效地解決多目標動態電網規劃。與遺傳算法相比,改進的ELM在尋優效率和容錯性方麵具有明顯優勢。
기우동태규화사상,제출장류전자궤제(Electromagnetism-Like Mechanism,ELM)산법응용우다목표동태전망규화。소제료총시량력대거리적과분의중,병차감피동취집사상,제승료충군이동모형적항우동화전국심우능력。재권중、국부수색、변이등배절균채용자괄응책략래개선심우속도,이용정영책략제고수렴효솔。통과증설적마이과부성약속,피면료가선복탁。채용가권법화벌함수법,장묘술전망경제성、가고성、정태 N?1안전적다목표진행통일도량,이체현규화방안적종합만의도。통과대19절점、46절점계통진행십진제편마측시,결과험증료해산법능유효지해결다목표동태전망규화。여유전산법상비,개진적ELM재심우효솔화용착성방면구유명현우세。
Based on the dynamic programming, the electromagnetism-like mechanism algorithm is applied to multi-objective dynamic planning. It eliminates the over-dependence of the total force vector on the distance, and by drawing lessons from passive congregation thought, enhances the anti-disturbance and global optimization ability of the population mobility model. In the sectors of weight, local search, and mutation, the adaptive strategy is used to improve the searching speed, and the elitist strategy is used to improve the convergence efficiency. By adding the Markov constraints, the re-dismantling of lines is avoided. Using the weighted method and penalty function method, multiple objectives describing the grid economy, reliability, and static N-1 security are measured in a unified manner to reflect the overall satisfaction of the plan. Applying decimal coding to 19-bus and 46-bus system, the results show that the algorithm can effectively solve the multi-objective dynamic grid planning. Compared with the genetic algorithm, the improved ELM has obvious advantages in searching efficiency and fault-tolerance.