电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2015年
8期
45-52
,共8页
唐念%夏明超%肖伟栋%钟亚娇
唐唸%夏明超%肖偉棟%鐘亞嬌
당념%하명초%초위동%종아교
分布式电源%配电网规划%粒子群优化%多目标优化%概率模型
分佈式電源%配電網規劃%粒子群優化%多目標優化%概率模型
분포식전원%배전망규화%입자군우화%다목표우화%개솔모형
distributed generator%distribution network planning%particle swarm optimization%multi-objective optimization%probability model
为了增强新建配电网环网转供能力,提高供电可靠性,同时减小投资和运行维护成本,提出了一种分布式电源(DG)选址定容和多供电途径的网状新建配电网协调规划方法。该方法建立了考虑经济性、可靠性和稳定性的多目标优化模型,优化求解采用两层嵌套的粒子群算法。在规划中考虑了风电、光伏、燃气轮机、储能电池4种 DG 的选址和定容。针对输出功率不确定的 DG,建立了概率模型,利用多状态系统理论,将随机性问题转化为确定性问题。最后以某开发区的实际配电系统为例,验证了所提模型和方法的合理性。
為瞭增彊新建配電網環網轉供能力,提高供電可靠性,同時減小投資和運行維護成本,提齣瞭一種分佈式電源(DG)選阯定容和多供電途徑的網狀新建配電網協調規劃方法。該方法建立瞭攷慮經濟性、可靠性和穩定性的多目標優化模型,優化求解採用兩層嵌套的粒子群算法。在規劃中攷慮瞭風電、光伏、燃氣輪機、儲能電池4種 DG 的選阯和定容。針對輸齣功率不確定的 DG,建立瞭概率模型,利用多狀態繫統理論,將隨機性問題轉化為確定性問題。最後以某開髮區的實際配電繫統為例,驗證瞭所提模型和方法的閤理性。
위료증강신건배전망배망전공능력,제고공전가고성,동시감소투자화운행유호성본,제출료일충분포식전원(DG)선지정용화다공전도경적망상신건배전망협조규화방법。해방법건립료고필경제성、가고성화은정성적다목표우화모형,우화구해채용량층감투적입자군산법。재규화중고필료풍전、광복、연기륜궤、저능전지4충 DG 적선지화정용。침대수출공솔불학정적 DG,건립료개솔모형,이용다상태계통이론,장수궤성문제전화위학정성문제。최후이모개발구적실제배전계통위례,험증료소제모형화방법적합이성。
In order to enhance the ability of load transfer of the new meshed network and improve power supply reliability while reducing cost,this paper presents an integrated methodology for expansion planning of the active distribution network based on the particle swarm optimization (PSO) algorithm.The method proposed deals with the coordinated planning of distributed generator(DG) units and a meshed distribution network with multiple power supply paths by taking into consideration the uncertainty related to renewable DG output power.A multi-objective optimization model is proposed considering economic efficiency,reliability and stability.Double nested PSO is used to solve the optimization problem.The siting and sizing of four types of DG, including wind power, photovoltaic solar energy, gas turbine and energy storage battery are reviewed. Uncertainties related to demand and power supplied by DG units are represented through multi-state probability models.Then in each state,the expectation of output power is used instead of random values.The rationality of the method proposed is verified by results concerning an actual test system in a certain development zone.