考虑风光气电协同供能的冷热电联供系统多目标优化

Multi-Objective Optimization of Combined Cooling Heating and Power System Considering Photovoltaic-Wind-Gas-Power Collaborative Energy Supply

摘要:

建立以光伏发电、风电、燃气、网电多能源协同供能的冷热电联供系统。以独立供能冷热电联供系统为度量基准，构建由系统投资运行成本、一次能源利用、二氧化碳排放组成的多目标优化函数。针对全年冬季、夏季与过渡季的3种典型日的电热冷负荷需求，分析系统的容量配置以及“以电定热”“以热定电”的运行策略的协同优化。考虑优化问题的连续和组合优化的混合特性，模型求解采用多目标粒子群双层优化算法。采用正交试验分析关键因素对决策结果的影响作用。仿真结果表明，风光气电协同供能的冷热电联供系统相比独立供能系统，具有明显的经济、节能与环保的综合优势。

关键词:光伏发电;风电;冷热电联供;多目标粒子群;正交试验

Abstract:

A kind of combined cooling heating and power （CCHP） system considering multi-energy collaborative supply consisting of photovoltaic power，wind power，natural gas， and grid power is developed in this paper. By using the independent CCHP system as the measurement benchmark， investment and operation cost， primary energy utilization， as well as carbon dioxide emission are incorporated to formulate multi- objective optimization function. For electrical， heating， and cooling loads on the three kinds of annual typical days such as winter， summer， and transitional seasons， the collaborative optimization study on device capacity sizing and operation strategy including FEL （following the electrical loads） and FTL （following the thermal loads） is conducted. Due to simultaneous existence of the continuous and combinatorial optimization， a bi-level optimization algorithm of multi-objective particle swarm is proposed. In addition， the orthogonal experimental analysis for the impact of critical system parameters on the optimal result is performed. The results show that compared with the independent CCHP system， the proposed CCHP system considering photovoltaic-wind-gas-power collaborative energy supply has a significantly better performance in economy， energy saving， and environmental protection.

Key words:photovoltaic power;wind power;combined cooling heating and power(CCHP);multi-objective particle swarm optimization;orthogonal experimental analysis