中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
25期
4259-4269
,共11页
曾博%欧阳邵杰%张建华%赵天阳%曾鸣
曾博%歐暘邵傑%張建華%趙天暘%曾鳴
증박%구양소걸%장건화%조천양%증명
微电网%分布式光伏发电%复杂预想场景%双层规划%综合优化方法
微電網%分佈式光伏髮電%複雜預想場景%雙層規劃%綜閤優化方法
미전망%분포식광복발전%복잡예상장경%쌍층규화%종합우화방법
micro-grid%distributed photovoltaic generation%complicated operation scenarios%bi-level programming%integrated planning approach
针对传统微电网(micro-grid,MG)规划方法未充分计及实际运行工况多样性的缺点,提出一种考虑复杂预想场景下光伏(photovoltaic,PV)高效利用的 MG 综合规划方法。通过分析量化实际条件下网络故障对PV的受迫影响及其经济代价,引入安全风险预期系数,建立可综合反映PV在正常及故障预想场景下对 MG 系统贡献的复合评价函数。鉴于优化目标之间存在的主从逻辑差异,分别以系统投资运行成本最小和全场景下PV效能利用最优作为上、下层目标函数,构建了同时考虑网架重构与PV、储能选址定容的MG双层综合规划模型,并采用和声搜索和基于点估计随机最优潮流相结合的混合算法实现求解。算例分析结果表明,所提方法能够实现MG对分布式PV的灵活高效利用,有效提高实际运行条件下系统的整体预期收益,并可获得满足多样化需求的均衡规划策略。
針對傳統微電網(micro-grid,MG)規劃方法未充分計及實際運行工況多樣性的缺點,提齣一種攷慮複雜預想場景下光伏(photovoltaic,PV)高效利用的 MG 綜閤規劃方法。通過分析量化實際條件下網絡故障對PV的受迫影響及其經濟代價,引入安全風險預期繫數,建立可綜閤反映PV在正常及故障預想場景下對 MG 繫統貢獻的複閤評價函數。鑒于優化目標之間存在的主從邏輯差異,分彆以繫統投資運行成本最小和全場景下PV效能利用最優作為上、下層目標函數,構建瞭同時攷慮網架重構與PV、儲能選阯定容的MG雙層綜閤規劃模型,併採用和聲搜索和基于點估計隨機最優潮流相結閤的混閤算法實現求解。算例分析結果錶明,所提方法能夠實現MG對分佈式PV的靈活高效利用,有效提高實際運行條件下繫統的整體預期收益,併可穫得滿足多樣化需求的均衡規劃策略。
침대전통미전망(micro-grid,MG)규화방법미충분계급실제운행공황다양성적결점,제출일충고필복잡예상장경하광복(photovoltaic,PV)고효이용적 MG 종합규화방법。통과분석양화실제조건하망락고장대PV적수박영향급기경제대개,인입안전풍험예기계수,건립가종합반영PV재정상급고장예상장경하대 MG 계통공헌적복합평개함수。감우우화목표지간존재적주종라집차이,분별이계통투자운행성본최소화전장경하PV효능이용최우작위상、하층목표함수,구건료동시고필망가중구여PV、저능선지정용적MG쌍층종합규화모형,병채용화성수색화기우점고계수궤최우조류상결합적혼합산법실현구해。산례분석결과표명,소제방법능구실현MG대분포식PV적령활고효이용,유효제고실제운행조건하계통적정체예기수익,병가획득만족다양화수구적균형규화책략。
ABSTRACT:In view of the inadequate consideration of scenario diversity in traditional micro-grid (MG) planning, an integrated MG planning method for efficient photovoltaic (PV) utilization incorporating complicated scenarios was proposed in this paper. Through quantifying the impact of network contingencies on PV output and its corresponding economic expenses, the security risk coefficient was introduced, and based on which a composite evaluation function for indicating photovoltaic (PV) contribution under normal and contingency scenarios was developed. For the logical discrepancy between different optimization objectives, a bi-level integrated planning model of MG was proposed. It co-optimized the allocation of PV and energy storage together with network reconfiguration to minimize the total economic cost as upper objective and maximize the expected PV generation in the lower level. The model was solved by using a hybrid algorithm, which combined harmony search and probabilistic optimal power flow based on point estimation. The results of the case study demonstrate that by applying the proposed methodology, PV under MG can be used flexibly and efficiently, the overall benefits in actual situations can be improved, and the coordinated schemes that properly satisfy different planning motivations can be achied.