光伏系统
汽车工程
粒子群优化
太阳能
热能储存
热电联产
电力系统
工艺工程
电势能
采暖系统
计算机科学
功率(物理)
环境科学
工程类
电气工程
发电
机械工程
生物
机器学习
物理
量子力学
生态学
作者
Yuchen Song,Weihao Hu,Xiao Xu,Qi Huang,Zhe Chen
标识
DOI:10.1109/isgt-asia.2019.8881527
摘要
Nowadays, combined heat and power (CHP) has been widely used in power system. In order to overcome the shortcomings in a single CHP system, an integrated electrical and heating system (IEHS) may be established. In this paper, a model of integrated electrical and heating system with solar energy is adopted. Solar energy can supply the heat by solar thermal system (STS) and power by photovoltaic (PV) system. Considering heat market and heat storage (HS), a novel operation strategy of IEHS is proposed and optimized to find the minimum operation cost with ensuring supply meet the demand. Meanwhile, the area distribution of solar energy capture installations is explored. In this paper, the non-linear optimization problem is solved using particle swarm optimization (PSO). In the case study, an eleven-bus electrical power system and an eleven-node heating system are chosen to study and analyze. Simulation results show that the proposed optimal operation strategy is effective to reduce the operation cost.
科研通智能强力驱动
Strongly Powered by AbleSci AI