电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2013年
10期
2985-2990
,共6页
不确定因素%负载率约束%全规划周期柔性成本%综合优化
不確定因素%負載率約束%全規劃週期柔性成本%綜閤優化
불학정인소%부재솔약속%전규화주기유성성본%종합우화
uncertain factor%load rate constraint%flexible cost within full planning cycle%comprehensive optimization
针对现有电网规划方法对未来不确定因素适应性较差的缺点,从加强系统自身鲁棒性的角度出发,通过对线路负载率约束进行柔性化表示,控制系统中最重载线路的负载率,从而在规划过程中保留部分系统潮流输送能力,为系统预留一定的运行安全裕度和对不确定因素的适应能力。同时,通过对电网投资成本、运行成本和可靠性收益在电网全规划周期内的成本评估,提出兼顾系统经济性、安全性和可靠性的电网规划模型,并用蚁群算法求解。Garver 6节点测试系统的算例表明,提出的电网规划方法有效可行,有利于提高线路负载率分布的均匀程度,降低系统进入自组织临界状态和发生大规模连锁故障的风险,同时也是对整个电网规划周期内系统资源的综合优化。
針對現有電網規劃方法對未來不確定因素適應性較差的缺點,從加彊繫統自身魯棒性的角度齣髮,通過對線路負載率約束進行柔性化錶示,控製繫統中最重載線路的負載率,從而在規劃過程中保留部分繫統潮流輸送能力,為繫統預留一定的運行安全裕度和對不確定因素的適應能力。同時,通過對電網投資成本、運行成本和可靠性收益在電網全規劃週期內的成本評估,提齣兼顧繫統經濟性、安全性和可靠性的電網規劃模型,併用蟻群算法求解。Garver 6節點測試繫統的算例錶明,提齣的電網規劃方法有效可行,有利于提高線路負載率分佈的均勻程度,降低繫統進入自組織臨界狀態和髮生大規模連鎖故障的風險,同時也是對整箇電網規劃週期內繫統資源的綜閤優化。
침대현유전망규화방법대미래불학정인소괄응성교차적결점,종가강계통자신로봉성적각도출발,통과대선로부재솔약속진행유성화표시,공제계통중최중재선로적부재솔,종이재규화과정중보류부분계통조류수송능력,위계통예류일정적운행안전유도화대불학정인소적괄응능력。동시,통과대전망투자성본、운행성본화가고성수익재전망전규화주기내적성본평고,제출겸고계통경제성、안전성화가고성적전망규화모형,병용의군산법구해。Garver 6절점측시계통적산례표명,제출적전망규화방법유효가행,유리우제고선로부재솔분포적균균정도,강저계통진입자조직림계상태화발생대규모련쇄고장적풍험,동시야시대정개전망규화주기내계통자원적종합우화。
In allusion to the poor adaptability of existing power grid planning methods to future uncertain factors and to enhance the robustness of power grid its own, through the flexible expression of load rate constraint of transmission line a part of power flow transmission capability is reserved during the planning to obligate a certain security margin and adaptive capacity for uncertain factors. Meanwhile, through the evaluation on power grid investment cost, operational cost and income from reliability within full planning cycle of power grid, a power grid planning model considering grid economy, security and reliability is proposed and solved by ant colony algorithm. Results of Graver 6-bus test system show that the proposed power grid planning method is effective and feasible, and is favorable to improve the uniform degree of line load rate distribution and reduce the risk of falling into self-organized critical state or occurring large-scale cascading failure, besides using the proposed power grid planning method grid resources can be optimized comprehensively during full power grid planning cycle.