电工技术学报
電工技術學報
전공기술학보
TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY
2014年
2期
64-73
,共10页
微网%可靠性评估%可靠性指标%负荷与储能装置协调优化%时序蒙特卡罗模拟
微網%可靠性評估%可靠性指標%負荷與儲能裝置協調優化%時序矇特卡囉模擬
미망%가고성평고%가고성지표%부하여저능장치협조우화%시서몽특잡라모의
Microgrids%reliability evaluation%reliability indices%coordinative optimization of loads and storage devices%sequential Monte Carlo simulation
微网中负荷与储能装置的协调优化是促进可再生能源的利用,提高微网运行经济性的重要手段,但同时将直接改变用户的用电习惯和储能装置的运行特性,进而影响微网的可靠性。本文通过建立负荷与储能装置的协调优化模型,并基于时序蒙特卡洛模拟法,将该模型与微网可靠性评估相结合,实现在微网可靠性评估中计及负荷与储能装置协调优化的影响。此外,定义了新的负荷、储能装置以及微网整体的可靠性指标,对该影响进行定量化评估。通过算例分析,验证了上述模型、方法及指标体系的有效性。计算结果表明,计及负荷与储能装置协调优化影响使得评估更加符合微网的运行实际,对制定合理的微网运行方案,提高其可靠性和经济性具有重要的意义。
微網中負荷與儲能裝置的協調優化是促進可再生能源的利用,提高微網運行經濟性的重要手段,但同時將直接改變用戶的用電習慣和儲能裝置的運行特性,進而影響微網的可靠性。本文通過建立負荷與儲能裝置的協調優化模型,併基于時序矇特卡洛模擬法,將該模型與微網可靠性評估相結閤,實現在微網可靠性評估中計及負荷與儲能裝置協調優化的影響。此外,定義瞭新的負荷、儲能裝置以及微網整體的可靠性指標,對該影響進行定量化評估。通過算例分析,驗證瞭上述模型、方法及指標體繫的有效性。計算結果錶明,計及負荷與儲能裝置協調優化影響使得評估更加符閤微網的運行實際,對製定閤理的微網運行方案,提高其可靠性和經濟性具有重要的意義。
미망중부하여저능장치적협조우화시촉진가재생능원적이용,제고미망운행경제성적중요수단,단동시장직접개변용호적용전습관화저능장치적운행특성,진이영향미망적가고성。본문통과건립부하여저능장치적협조우화모형,병기우시서몽특잡락모의법,장해모형여미망가고성평고상결합,실현재미망가고성평고중계급부하여저능장치협조우화적영향。차외,정의료신적부하、저능장치이급미망정체적가고성지표,대해영향진행정양화평고。통과산례분석,험증료상술모형、방법급지표체계적유효성。계산결과표명,계급부하여저능장치협조우화영향사득평고경가부합미망적운행실제,대제정합리적미망운행방안,제고기가고성화경제성구유중요적의의。
For microgrids, coordinative optimization of loads and storage devices is an important approach that promotes the utilization of renewable energy and economic operation. However, the optimization directly changes the customers’ consumption habits and the operation status of storage devices, and affects the reliability of microgrids. This paper establishes optimization models for loads and storages, which are integrated into the reliability evaluation of microgrids by a sequential Monte Carlo method.The integration realizes the consideration of the coordinative optimizationin reliability evaluation of microgrids.Besides, new reliability indices are defined to quantify the impacts of the optimization on the reliability of customers, storage devices and microgrids. Extensive results indicate the effectiveness and accuracy of the presented models and methods. With consideration of the load and storage optimization, the results are of significance to make microgrid operation plans andimprove the reliability and economy of microgrids.