Optimal Stochastic Dispatch of Combined Heat Power System with Guaranteed Heat Trading

Hussein Abdeltawab
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Abstract

Combined Heat and Power (CHP) is an excellent method for maximizing the efficiency of a multicarrier energy system. Generated heat from a CHP can be used to supply a thermal load or storage. Since the CHP-generated heat depends on the generated electric power, some excessive heat may be wasted if storage is not a viable option. This work proposes a day-ahead energy management system (EMS) with redundant heat trading. The system contains Electric Vehicle (EV), Photovoltaic (PV), hot water tank storage, gas boiler, and Electric heater to meet the electric and thermal energy demands in a multicarrier energy system. To account for uncertainties, various scenarios for the electrical/thermal load, PV power, and temperature are considered. A Monte-Carlo-based two-level EMS is developed to calculate the required heat reserve to trade heat while accounting for all uncertainties. Simulation results show that the proposed EMS can predict the necessary reserve for guaranteeing reliable day-ahead heat commitment.
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保证热交易的热电联产系统最优随机调度
热电联产(CHP)是实现多载波能源系统效率最大化的一种极好的方法。热电联产产生的热量可以用来提供热负荷或储存。由于热电联产产生的热量取决于产生的电力,如果储存不是一个可行的选择,一些多余的热量可能会被浪费。提出了一种具有冗余热交易的日前能源管理系统(EMS)。该系统包含电动汽车(EV)、光伏(PV)、热水箱存储、燃气锅炉和电加热器,以满足多载波能源系统的电能和热能需求。为了考虑不确定性,考虑了电/热负荷、光伏发电和温度的各种情况。基于蒙特卡罗的两级EMS被开发来计算所需的热储备,以交换热量,同时考虑所有的不确定性。仿真结果表明,该模型能够预测出保证日前热承诺可靠的必要储备。
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