电力建设
電力建設
전력건설
ELECTRIC POWER CONSTRUCTION
2015年
8期
7-14
,共8页
陈政%曾鸣%张翔%常启诚%欧鹏%宋艺航%钱琪琪%欧阳邵杰%刘英新
陳政%曾鳴%張翔%常啟誠%歐鵬%宋藝航%錢琪琪%歐暘邵傑%劉英新
진정%증명%장상%상계성%구붕%송예항%전기기%구양소걸%류영신
放松管制%效益均衡%分布式发电商%配电网运营商%改进的布谷鸟搜索算法
放鬆管製%效益均衡%分佈式髮電商%配電網運營商%改進的佈穀鳥搜索算法
방송관제%효익균형%분포식발전상%배전망운영상%개진적포곡조수색산법
deregulation%benefit equilibrium%distributed generation owner%distribution network operator%improved cuckoo search algorithm
近年来,分布式发电以其节能、环保等特点发展快速。然而在分布式发电接入配电网的过程中,会对配电网运营商( distribution network operators,DNO)的利益造成影响,从而阻碍两者的协调发展。为了兼顾配电网运营商与分布式发电商( distributed generation owners,DGO)的利益,研究了分布式发电投资及配电网建设规划的联合优化问题。在构建目标函数过程中引入利润分配系数从而达到双赢目的,同时需要满足配电网安全稳定运营及减排目标约束。对于模型中存在的不确定性因素使用两点估计法进行确定,使用改进的布谷鸟搜索算法求解所建模型。最后以IEEE33节点配电系统为例,通过不同情境之间的对比分析验证了所提出方法的有效性和可行性。
近年來,分佈式髮電以其節能、環保等特點髮展快速。然而在分佈式髮電接入配電網的過程中,會對配電網運營商( distribution network operators,DNO)的利益造成影響,從而阻礙兩者的協調髮展。為瞭兼顧配電網運營商與分佈式髮電商( distributed generation owners,DGO)的利益,研究瞭分佈式髮電投資及配電網建設規劃的聯閤優化問題。在構建目標函數過程中引入利潤分配繫數從而達到雙贏目的,同時需要滿足配電網安全穩定運營及減排目標約束。對于模型中存在的不確定性因素使用兩點估計法進行確定,使用改進的佈穀鳥搜索算法求解所建模型。最後以IEEE33節點配電繫統為例,通過不同情境之間的對比分析驗證瞭所提齣方法的有效性和可行性。
근년래,분포식발전이기절능、배보등특점발전쾌속。연이재분포식발전접입배전망적과정중,회대배전망운영상( distribution network operators,DNO)적이익조성영향,종이조애량자적협조발전。위료겸고배전망운영상여분포식발전상( distributed generation owners,DGO)적이익,연구료분포식발전투자급배전망건설규화적연합우화문제。재구건목표함수과정중인입리윤분배계수종이체도쌍영목적,동시수요만족배전망안전은정운영급감배목표약속。대우모형중존재적불학정성인소사용량점고계법진행학정,사용개진적포곡조수색산법구해소건모형。최후이IEEE33절점배전계통위례,통과불동정경지간적대비분석험증료소제출방법적유효성화가행성。
In recent years, distributed generation obtains rapid development for its energy ̄saving and environment protection. However, the network access of distributed energy will cause certain impact on the interests of the distribution network operators ( DNO) , which may hinder harmonious development of them. This pape reconciled the both interests of DNO and distributed generation owners ( DGO) , and studied the combined optimization problem of distributed generation investment and distribution network construction planning. The profit distribution coefficient was introduced during the construction of objective function so as to achieve the win ̄win purpose. Besides, the model needed to satisfy both the security and stability operation of distribution network and the emission reduction targets constraints. And the two ̄point estimate model was used to determine the uncertainty factors in the model. This paper used improved cuckoo search algorithm ( ICSA) to solve the constructed model. At last, a IEEE33 nodes distribution system was used to verify the feasibility and effectiveness of the provided model by cases comparison.