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出 处:《电力系统及其自动化学报》2016年第1期51-57,共7页Proceedings of the CSU-EPSA
基 金:国家电网公司科技项目(H2013-042);国家自然科学基金资助项目(71203137);上海市科委重点科技攻关计划项目(11dz1210405);上海市杨浦国家创新型试点城区建设和发展专项资金项目(2011YOCX03-006);上海绿色能源并网工程技术研究中心项目(13DZ2251900)
摘 要:通过安装蓄热槽对热电联产"以热定电"约束进行解耦,使微型燃气轮机更加灵活可控参与系统调峰,有利于微网对高渗透率可再生能源的消纳。考虑到风机、光伏出力的随机性以及热电负荷的波动性,建立了基于机会约束规划的微网热电能量综合优化模型。与传统微网优化模型相比,增加了系统热平衡约束,热电联产热电耦合约束,蓄热槽运行约束等。以微网最小运行成本为优化目标,通过遗传算法优化各微源出力,形成最佳运行方式。算例表明:热电联产系统以热电解耦方式运行,有利于提高能源利用效率以及微网运行经济效益。By installing heat storage tank to decouple"heat-load-based"constraint of combined heat and power (CHP), the micro-turbine (MT) will be more flexible and controllable to participate peak adjustment, which is beneficial for micro-grid to consume high penetration of renewable energy. Considering the randomness of photovoltaic and wind turbine output, volatility of thermoelectric load, a micro-grid comprehensive thermoelectric energy optimization model is established based on chance constrained programming. Compared to traditional micro-grid optimization model, system thermal balance constraints and CHP thermoelectric coupling, heat storage tank operating constraints are increased. Microgrid minimum operating cost as optimization goal, by genetic algorithm to optimize each micro-source output, so that the best run way is formed. Example show that: The CHP run as"heat-load-based"decoupled mode will improve energy efficiency and micro-grid running economy.
分 类 号:TM73[电气工程—电力系统及自动化]
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