电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2014年
14期
62-69,89
,共9页
曲翀%王秀丽%姚力%韩家辉
麯翀%王秀麗%姚力%韓傢輝
곡충%왕수려%요력%한가휘
条件成本收益分析%旋转备用%条件可靠性成本%机组组合%可靠性评估
條件成本收益分析%鏇轉備用%條件可靠性成本%機組組閤%可靠性評估
조건성본수익분석%선전비용%조건가고성성본%궤조조합%가고성평고
conditional cost/benefit analysis%spinning reserve%conditional reliability cost%unit commitment%reliability assessment
电力系统需要权衡可靠性和经济性以实现旋转备用的优化。基于整体均值的传统可靠性评估方法和指标，将高损失-低概率事件与低损失-高概率事件同质化，无法反映决策者的风险偏好和关注的损失范围，也无法体现旋转备用配置对极端损失情形的敏感性。文中引入条件可靠性评估的方法和指标，建立条件成本收益分析模型，在决策者关注的风险范围内优化旋转备用。通过逐时段地进行时序解耦的机组组合，确定运行成本和开机方式；再对在线机组进行状态抽样，计算条件可靠性成本，确定使该时段条件总成本最小的条件最优旋转备用容量。最后，进行一次完整约束的机组组合，将备用要求分配至机组。算例表明，决策者的主观风险偏好对最优旋转备用方案有显著影响，随着关注的损失范围由整体平均转向极端不利，系统对旋转备用的需求持续提升，甚至超出现有装机容量的提供能力。
電力繫統需要權衡可靠性和經濟性以實現鏇轉備用的優化。基于整體均值的傳統可靠性評估方法和指標，將高損失-低概率事件與低損失-高概率事件同質化，無法反映決策者的風險偏好和關註的損失範圍，也無法體現鏇轉備用配置對極耑損失情形的敏感性。文中引入條件可靠性評估的方法和指標，建立條件成本收益分析模型，在決策者關註的風險範圍內優化鏇轉備用。通過逐時段地進行時序解耦的機組組閤，確定運行成本和開機方式；再對在線機組進行狀態抽樣，計算條件可靠性成本，確定使該時段條件總成本最小的條件最優鏇轉備用容量。最後，進行一次完整約束的機組組閤，將備用要求分配至機組。算例錶明，決策者的主觀風險偏好對最優鏇轉備用方案有顯著影響，隨著關註的損失範圍由整體平均轉嚮極耑不利，繫統對鏇轉備用的需求持續提升，甚至超齣現有裝機容量的提供能力。
전력계통수요권형가고성화경제성이실현선전비용적우화。기우정체균치적전통가고성평고방법화지표，장고손실-저개솔사건여저손실-고개솔사건동질화，무법반영결책자적풍험편호화관주적손실범위，야무법체현선전비용배치대겁단손실정형적민감성。문중인입조건가고성평고적방법화지표，건립조건성본수익분석모형，재결책자관주적풍험범위내우화선전비용。통과축시단지진행시서해우적궤조조합，학정운행성본화개궤방식；재대재선궤조진행상태추양，계산조건가고성성본，학정사해시단조건총성본최소적조건최우선전비용용량。최후，진행일차완정약속적궤조조합，장비용요구분배지궤조。산례표명，결책자적주관풍험편호대최우선전비용방안유현저영향，수착관주적손실범위유정체평균전향겁단불리，계통대선전비용적수구지속제승，심지초출현유장궤용량적제공능력。
In power systems,in order to optimize the spinning reserve (SR),a trade-off between reliability and economy objectives is always needed.The methods and indices of traditional reliability assessment based on overall averages regard high-damage/low-probability events as commensurate with low-damage/high probability events,making it impossible to reflect the risk preference and the range of damages the decision-makers might particularly concern about;nor is it possible to reflect the sensitivity of SR configuration to the catastrophic generation deficits.This paper introduces conditional reliability assessment methods and indices,then develops a conditional cost/benefit analytic model,and optimizes the SR within the risk range of the decision-makers” concern.Firstly,a time-decoupled unit commitment(UC) is made hour by hour to determine the operating cost and dispatch schedule.Secondly,state sampling of the online units is made to calculate the conditional reliability costs. Then the conditional optimal SR capacity making the conditional total cost minimum in the said hour is found.Finally,the reserve is allocated to each unit by a UC with complete constraints.The case study shows that decision-makers” risk preferences have significant influence on the optimal SR:with the damage range concerned transferred from overall average to extreme adverse situations,the SR demand continually increases so much so that it may even go beyond the supply ability of the current installed capacity. This work is supported by National High Technology Research and Development Program of China(863 Program)(No. 201 1AA05A103).
