考虑蓄能热惯性的综合能源系统阶段式故障优化供能策略
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摘要
利用综合能源系统中多能转换协同供能的优势以及蓄冷/蓄热系统的热惯性特点,以实现供能系统故障时的快速恢复供能。分析多能流在各类能源转换设备中转换的功率关系,对各类能源转换设备的输入功率进行控制以实现协同运行,并分析各类能源转换设备的动态响应时间和蓄冷/蓄热设备考虑热惯性时的蓄能容量弹性调节方法,以动态响应时间最短为运行策略的优化目标,实现多能源转换设备故障时供能的优先级及供能功率的优化匹配,得到最终的优化运行策略。算例结果表明,多能协同与储能容量的弹性调节能够快速应对各类场景下的供能故障,实现小时级的供能延长和综合能源系统供能故障时的快速供能恢复。
The advantages of multi energy conversion and coordination energy supply in the integrated energy system and the thermal inertia characteristics of the cold storage/thermal system were considered to realize the rapid recovery of energy supply system when the energy supply system fails. The power relationship of multi energy flow in all kinds of energy conversion equipment was studied. The import power of all kinds of energy conversion equipment was controlled to achieve cooperative operation. The dynamic response time of all kinds of energy conversion equipment and the method of energy storage capacity adjustment with thermal inertia of heat storage and heat storage equipment was analyzed. The dynamic response time were used as the target to optimize the running strategy, and the priority of energy supply and the optimal matching of power supply were realized when the multi energy conversion equipment fails, and the final optimal operation strategy was obtained. The example shows that the resilience of multi energy coordination and energy storage capacity can quickly deal with the energy supply failures in various scenes, realize energy supply extension at the hour level, and realize fast energy supply recovery in the energy supply system for integrated energy systems.
The advantages of multi energy conversion and coordination energy supply in the integrated energy system and the thermal inertia characteristics of the cold storage/thermal system were considered to realize the rapid recovery of energy supply system when the energy supply system fails. The power relationship of multi energy flow in all kinds of energy conversion equipment was studied. The import power of all kinds of energy conversion equipment was controlled to achieve cooperative operation. The dynamic response time of all kinds of energy conversion equipment and the method of energy storage capacity adjustment with thermal inertia of heat storage and heat storage equipment was analyzed. The dynamic response time were used as the target to optimize the running strategy, and the priority of energy supply and the optimal matching of power supply were realized when the multi energy conversion equipment fails, and the final optimal operation strategy was obtained. The example shows that the resilience of multi energy coordination and energy storage capacity can quickly deal with the energy supply failures in various scenes, realize energy supply extension at the hour level, and realize fast energy supply recovery in the energy supply system for integrated energy systems.
引文
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[3]KAUR T,SEGAL R.Designing rural electrification solutions considering hybrid energy systems for Papua New Guinea[J].Energy Procedia,2017(110):1-7.
[4]李洁,张东,常洁,等.面向智能制造的工业连接现状及关键技术分析[J].电信科学,2017,33(11):146-153.LI J,ZHANG D,CHANG J,et al.Situation description and critical technology analysis for industrial connection of intelligent manufacturing[J].Telecommunications Science,2017,33(11):146-153.
[5]彭克,张聪,徐丙垠,等.多能协同综合能源系统示范工程现状与展望[J].电力自动化设备,2017,37(6):3-10.PENG K,ZHANG C,XU B Y,et al.Present situation and prospect of demonstration project of multi-energy synergy comprehensive energy system[J].Automation of Electric Power Systems,2017,37(6):3-10.
[6]FU X,ZHANG X.Failure probability estimation of gas supply using the central moment method in an integrated energy system[J].Applied Energy,2018(219):1-10.
[7]FU X,GUO Q,SUN H,et al.Estimation of the failure probability of an integrated energy system based on the first order reliability method[J].Energy,2017,134(9):1068-1078.
[8]SUN D F,SHEN L M,SUN M,et al.An effective method of evaluating the device-level thermophysical properties and performance of micro-thermoelectric coolers[J].Applied Energy,2018(219):93-104.
[9]徐航,董树锋,何仲潇,等.考虑能量梯级利用的工厂综合能源系统多能协同优化[J].电力系统自动化,2018,42(6):1-8.XU H,DONG S F,HE Z X,et al.Multi-energy cooperative optimization of integrated energy system in plant considering stepped utilization of energy[J].Automation of Electric Power Systems,2018,42(6):1-8.
[10]LI G,KOU Y,JIANG J,et al.Researches on the reliability evaluation of integrated energy system based on energy hub[C]//2016 China International Conference on Electricity Distribution,Aug 10-13,2016,Xi’an,China.Piscataway:IEEEPress,2016.
[11]ZHANG X,SHAHIDEHPOUR M,ALABDULWAHAB A,et al.Optimal expansion planning of energy hub with multiple energy infrastructures[J].IEEE Transactions on Smart Grid,2017,6(5):2302-2311.
[12]BRAHMAN F,HONARMAND M,JADID S.Optimal electrical and thermal energy management of a residential energy hub,integrating demand response and energy storage system[J].Energy&Buildings,2015(90):65-75.
[13]秦冰,付林,江亿.利用系统热惯性的热电联产电力调峰[J].煤气与热力,2005,25(10):6-8.QIN B,FU L,JIANG Y.Electric peak shaving for CHP plant by using thermal inertia of heat-supply system[J].Gas&Heat,2005,25(10):6-8.
[14]仪忠凯,李志民.计及热网储热和供热区域热惯性的热电联合调度策略[J].电网技术,2018,42(5).YI Z K,LI Z M.Combined heat and power dispatching strategy considering heat storage characteristics of heating network and thermal inertia in heating area[J].Power System Technology,2018,42(5).
[15]GU W,WU C,WANG J,et al.Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings[J].Applied Energy,2017(199):234-246.
[16]ZHENG J,ZHOU Z,ZHAO J,et al.Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration[J].Applied Energy,2018(211):865-874.