基于双种群入侵性杂草算法的服务型城市综合资源规划

针对服务型城市的产业特性及其相应的电力负荷特点，论述了加快建设以蓄冷蓄热技术为主的移峰填谷类能效电厂的必要性。为解决服务型城市峰谷差大的问题，引入调峰能力约束，建立了同时考虑供应侧传统机组与需求侧能效电厂，以规划期内综合成本最小为目标函数的综合资源规划模型。并且提出了一种改进双种群IWO算法进行优化求解，通过算例验证了模型和算法的有效性。应用该模型可以实现系统总成本最小、减少污染物排放及有效调峰等效果。

Integrated resource planning for service-oriented city based on dual population invasive weed algorithm

According to the industry characteristics of the service-oriented city and its corresponding power load characteristics, the necessity of accelerating construction of efficiency power plant (EPP) is discussed. The EPP mentioned here can shift electricity usage from peak hours to off-peak hours using thermal storage technology. This paper presents an integrated resource planning (IRP) model with the aim to minimize the total cost over a planning horizon. The EPP at demand side is considered along with traditional supply resources to meet the planning. In addition to common aspects of scheduling, this model takes a peaking capacity constrain into account to meet the big peak-valley difference in the city. Then, an improved dual population invasive weed algorithm (IWO) is proposed for solving the model. Case study results show that the proposed model and the improved algorithm are effective, and the IRP model can realize the system total cost minimization, emission reduction and power peak shifting effectively.