|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析显示文摘我国北方冬季供暖期,大量热电联产机组工作在'以热定电'运行模式下,造成了系统调峰能力不足,弃风形势严峻。能有效减少弃风的风电供热由于经济效益问题和调度平台尚未完善,难以大规模推广应用。针对上述问题,该文将一定供热区域内的热电厂、风电场、光伏电站组成虚拟电厂,形成利益整体,并加入风电供热设备实现热电联产机组的'热电解耦'。首先描述了虚拟电厂的组成结构和运行方式,其次建立了虚拟电厂热电负荷优化调度模型,对比了不同的虚拟电厂运行策略,并采用自适应免疫遗传算法进行求解,实现了虚拟电厂内部热电负荷优化调度。通过算例分析,验证所建立模型的合理性与有效性;表明在虚拟电厂中加入风电供热设备的运行策略可以有效地减少出力偏差与环保代价,提高经济效益;风电供热容量在一定范围内越高或风光预测精度越高,虚拟电厂经济效益越好,同时体现了虚拟电厂作为一个利益整体的经济性优势。 | 袁桂丽 王琳博 王宝源 | 2017 | 中国电机工程学报2017，37，17： | 70 |
| 2 | Modified Cuckoo Search Algorithm to Solve Economic Power Dispatch Optimization Problems显示文摘A modified cuckoo search(CS) algorithm is proposed to solve economic dispatch(ED) problems that have nonconvex, non-continuous or non-linear solution spaces considering valve-point effects, prohibited operating zones, transmission losses and ramp rate limits. Comparing with the traditional cuckoo search algorithm, we propose a self-adaptive step size and some neighbor-study strategies to enhance search performance.Moreover, an improved lambda iteration strategy is used to generate new solutions. To show the superiority of the proposed algorithm over several classic algorithms, four systems with different benchmarks are tested. The results show its efficiency to solve economic dispatch problems, especially for large-scale systems. | Jian Zhao Shixin Liu Mengchu Zhou Xiwang Guo Liang Qi | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，4： | 14 |
| 3 | 电-热综合能源系统优化调度综述显示文摘随着热电联产机组、热泵、电锅炉、空调等能量转换设备的普及,电力系统和热力系统之间的能量转换和信息交互日益密切,逐步形成了电-热综合能源系统。热电联合调度可以促进可再生能源消纳,提高电力系统灵活性。首先,分析电-热综合能源系统组成,包括电网、热网和耦合设备等。在此基础上,从能量枢纽、网络拓扑和统一能路等角度回顾电-热综合能源系统建模的发展历程。然后,基于解析法和人工智能法等评述现有电-热综合能源系统优化调度研究的异同,包括考虑不确定性的电-热综合能源系统随机优化运行和热电联合鲁棒优化调度。最后,总结热电联合调度关键科学问题并对未来研究方向予以展望。 | 朱浩昊 朱继忠 李盛林 董瀚江 何晨可 蓝静 | 2022 | 全球能源互联网2022，5，4： | 12 |
| 4 | Optimal Combined Heat and Power Economic Dispatch Using Stochastic Fractal Search Algorithm显示文摘Combined heat and power(CHP)generation is a valuable scheme for concurrent generation of electrical and thermal energies.The interdependency of power and heat productions in CHP units introduces complications and non-convexities in their modeling and optimization.This paper uses the stochastic fractal search(SFS)optimization technique to treat the highly non-linear CHP economic dispatch(CHPED)problem,where the objective is to minimize the total operation cost of both power and heat from generation units while fulfilling several operation interdependent limits and constraints.The CHPED problem has bounded feasible operation regions and many local minima.The SFS,which is a recent metaheuristic global optimization solver,outranks many current reputable solvers.Handling constraints of the CHPED is achieved by employing external penalty parameters,which penalize infeasible solution during the iterative process.To confirm the strength of this algorithm,it has been tested on two different test systems that are regularly used.The obtained outcomes are compared with former outcomes achieved by many different methods reported in literature of CHPED.The results of this work affirm that the SFS algorithm can achieve improved near-global solution and compare favorably with other commonly used global optimization techniques in terms of the quality of solution,handling of constraints and computation time. | Muwaffaq I.Alomoush | 2020 | Journal of Modern Power Systems and Clean Energy2020，8，2： | 2 |
您所在的机构暂未开通此部分的功能，请联系管理员