CAJ | 학술논문

大规模间歇式能源出力的不确定性给电网的安全经济运行提出新的挑战，研究间歇式能源接入下的多源联合优化机组组合模型对提高电网运行的安全性和促进间歇式能源的消纳具有重要意义。基于对风电不确定性及抽水蓄能运行机理分析，采用置信区间法进行风电不确定性建模，并提出新的系统调节能力约束，从而建立了考虑风电不确定性影响及抽蓄水头变化影响的联合优化机组组合模型。采用6节点系统验证模型的有效性，研究了抽蓄容量及置信区间选择对发电成本、机组组合及其可靠性的影响。结果显示，风电、火电装机不变的情况下，要保证机组组合的可靠性达99%以上，抽蓄发电装机占比分别为5.6%和10.5%时，与无抽蓄时相比可以分别减少16和17个开机时段，发电成本可以分别降低4.6%和6.8%。通过算例的论证，表明该机组组合模型能够实现多元能源的协调优化和给定置信区间内的风电的有效消纳。
대규모간헐식능원출력적불학정성급전망적안전경제운행제출신적도전，연구간헐식능원접입하적다원연합우화궤조조합모형대제고전망운행적안전성화촉진간헐식능원적소납구유중요의의。기우대풍전불학정성급추수축능운행궤리분석，채용치신구간법진행풍전불학정성건모，병제출신적계통조절능력약속，종이건립료고필풍전불학정성영향급추축수두변화영향적연합우화궤조조합모형。채용6절점계통험증모형적유효성，연구료추축용량급치신구간선택대발전성본、궤조조합급기가고성적영향。결과현시，풍전、화전장궤불변적정황하，요보증궤조조합적가고성체99%이상，추축발전장궤점비분별위5.6%화10.5%시，여무추축시상비가이분별감소16화17개개궤시단，발전성본가이분별강저4.6%화6.8%。통과산례적론증，표명해궤조조합모형능구실현다원능원적협조우화화급정치신구간내적풍전적유효소납。
The uncertainty of large-scale intermittent energy poses new challenges to grid operation, it is important to study unit commitment model for combined optimization of multi-source with intermittent energy to improve operation security and promote the utilization of intermittent energy. Based on analysis of the uncertainty of wind power and operational mechanism of pumped storage, this paper used confidence interval method to model the uncertainty, and proposed new constraints about system adjustment ability to establish unit commitment model considering wind power’s uncertainty and changes in pumped storage water head. This paper used a 6-node system to verify effectiveness of the model, and studied the impacts of pumped storage capacity and confidence interval on generation cost, unit commitment and its reliability. When the installed capacity of both wind and thermal power is fixed and the reliability of unit commitment is required to be more than 99%, results show that if pumped storage installed capacity accounted for respectively 5.6% and 10.5%, the powered on time will be reduced by 16 and 17 hours and the generation cost will be reduced by 4.6% and 6.8% respectively compared with the case without pumped storage. According to the example, it shows that the model can realize the coordinative optimization of multiple sources and the full use of wind power within the confidence interval.