An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power
An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power
复制标题
一种改进的风电阀点效应发电机动态调度人工物理优化算法
DOI：
10.1016/j.enconman.2014.03.009
复制
发表时间：
2014-06
影响因子：
10.4
通讯作者：
Chen Zhihuan
中科院分区：
文献类型：
--
作者：
Yuan Xiaohui;Ji Bin;Zhang Shuangquan;Tian Hao;Chen Zhihuan
风力发电是一种很有前途的可再生能源，由于各种环境和经济方面的考虑，近年来越来越受到人们的关注。但风电的渗透及其波动性使电力系统的运行更加棘手。为协调可靠性和运行成本，建立了含风电的动态负荷经济调度随机模型。该模型考虑了容量升降、禁止操作区等约束条件，并考虑了阀点的影响。采用马尔可夫链结合情景分析方法生成风电功率预测值，并采用机会约束规划（CCP）模拟风电功率波动对系统运行的影响。提出了一种改进的人工物理优化算法来求解DLEDW问题。启发式策略的基础上提出的优先级列表和随机模拟技术来处理的约束。此外，采用局部混沌变异策略克服了人工物理优化算法早熟收敛的缺点。通过风电并网和未并网两个试验系统验证了该方法的可行性和有效性，并与引力搜索算法、粒子群算法和标准人工物理优化算法的结果进行了比较。仿真结果表明，该方法具有较高的效率，为解决DLEDW问题。
Wind power, a kind of promising renewable energy resource, has recently been getting more attractive because of various environmental and economic considerations. But the penetration of wind power with its fluctuation nature has made the operation of power system more intractable. To coordinate the reliability and operation cost, this paper established a stochastic model of dynamic load economic dispatch with wind integration (DLEDW). In this model, constraints such as ramping up/down capacity, prohibited operating zone are considered and effects of valve-point are taken into account. Markov chains combined with scenario analysis method is used to generate predictive values of wind power and chance constrained programming (CCP) is applied to simulate the impacts of wind power fluctuation on system operation. An improved artificial physical optimization algorithm is presented to solve the DLEDW problem. Heuristic strategies based on the priority list and stochastic simulation techniques are proposed to handle the constraints. In addition, a local chaotic mutation strategy is applied to overcome the disadvantage of premature convergence of artificial physical optimization algorithm. Two test systems with and without wind power integration are used to verify the feasibility and effectiveness of the proposed method and the results are compared with those of gravitational search algorithm, particle swarm optimization and standard artificial physical optimization. The simulation results demonstrate that the proposed method has a higher efficiency for solving the DLEDW problem.
登录
查看更多内容
DOI：
10.1142/s0218127400000785
发表时间：
2000-05
期刊：
Int. J. Bifurc. Chaos
影响因子：
--
作者：
P. Arena;R. Caponetto;L. Fortuna;A. Rizzo;M. L. Rosa
通讯作者：
P. Arena;R. Caponetto;L. Fortuna;A. Rizzo;M. L. Rosa
具有阀点效应的动态经济调度的改进差分进化方法
影响因子：
10.4
作者：
通讯作者：
--
DOI：
10.1016/j.ijepes.2012.06.049
发表时间：
2013
影响因子：
5.2
作者：
Soumitra Mondal;A. Bhattacharya;S. Dey
通讯作者：
Soumitra Mondal;A. Bhattacharya;S. Dey
影响因子：
10.4
作者：
L. Coelho;V. Mariani
通讯作者：
L. Coelho;V. Mariani
DOI：
10.1016/j.ijepes.2006.09.008
发表时间：
2007-11
影响因子：
5.2
作者：
Ning Yang;C. Yu;F. Wen;C. Chung
通讯作者：
Ning Yang;C. Yu;F. Wen;C. Chung