冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

冷热电联供系统能量流函数及运行策略

详细分析系统能量流特性,提出刻画冷热电联供（CCHP）系统在“以热定电”和“以电定热” 2种运行策略下的能量流函数。为提升CCHP系统的经济环保效益,建立其经济环保调度优化模型,目标函数包含燃料成本、购电成本及考虑污染气体排放需缴纳惩罚费用的环境成本,能量流函数作为能量平衡等式约束。算例仿真结果表明,所提能量流函数及模型可实现CCHP系统的优化调度,从而降低生产成本,改善环境效益,提高能源利用水平。     

Analytical solution for combined economic and emissions dispatch

Due to the environmental concerns that evolve from the emissions produced by fossil-fuelled power plants, the economic dispatch that minimises only the total fuel cost can no longer be considered single-handed. This paper proposes an analytical strategy based on mathematical modelling to solve economic, emission, and combined economic and emission dispatch problems by a single equivalent objective function. The proposed strategy has been applied to dissimilar realistic systems at different load conditions and the outcome of one such realistic system is presented here.     

电力市场环境下含风电机组的环境经济调度模型及其仿真

电力市场环境下的传统经济调度不考虑环境补偿因素。文章在传统经济调度的基础上,考虑各机组和各种能源的环境成本,提出了火电机组名义环境补偿成本,用电方不需实际支付费用,发电方排污特性越好,火电机组的名义环境补偿成本越低;同时考虑了风电备用容量补偿成本,反映风电接入系统后火电热备用容量的变化;建立了电力市场环境下含风电机组的环境经济调度模型。基于Matlab优化工具箱,对一个包含2个火电机组和1个风电机组的系统进行优化仿真,结果表明：基于所提出的模型,环境友好的发电机组或能源将获得更大的调度权重。     

基于风速预测和随机规划的含风电场电力系统动态经济调度

随着风力发电在电力系统中比重的持续增加,在电力系统经济调度中需要考虑风电场的影响;而并网风电场具有动态、随机、容量大等特点,传统的经济调度方法已不再适用。针对风电场出力的随机性,在风速预测的基础上,应用随机规划理论建立了考虑机组组合的含风电场电力系统动元网络和遗传算法的混合智能算法,提高了算法的收敛速度和搜索性能。以含风电场的IEEE30节点系统为算例验证了所提方法的可行性和有效性。     

考虑环境污染的机组出力经济分配

对传统意义下经济调度模型进行修正,同时考虑最小化燃料费用和污染排放量,提出了多目标环境经济调度模型,并应用多目标蚁群算法(MOACA)加以求解。指出MOACA将信息素交流和基于全局最优经验指导两种寻优方式相结合,以指导蚂蚁向更好解的方向前进,可以获得分布良好的Pareto最优解。利用文内算法对IEEE-30节点系统的机组出力进行环境经济调度,并与现有一些算法进行比较。     

风电并网电力系统动态经济调度问题的研究

通过优化火电机组出力,研究风电并网后,电力系统的短期动态经济调度问题。优化模型中引入了上、下旋转备用,以此应对风电功率预测误差给系统调度带来的波动。在基本粒子群优化算法基础上,提出了3种改进策略:先采用"循环处理策略"和"优先启停策略"生成问题的可行解,然后采用"机会停机策略"进一步优化可行解。经典算例结果表明,本文提出的策略稳定性好、寻优速度快、优化结果好,具有高效的搜索能力和适应性。     

Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm

The environmental issues that arise from the pollutant emissions produced by fossil-fueled electric power plants have become a matter of concern more recently. The conventional economic power dispatch cannot meet the environmental protection requirements, since it only considers minimizing the total fuel cost. The multi-objective generation dispatch in electric power systems treats economic and emission impact as competing objectives, which requires some reasonable tradeoff among objectives to reach an optimal solution. In this paper, a fuzzified multi-objective particle swarm optimization (FMOPSO) algorithm is proposed and implemented to dispatch the electric power considering both economic and environmental issues. The effectiveness of the proposed approach is demonstrated by comparing its performance with other approaches including weighted aggregation (WA) and evolutionary multi-objective optimization algorithms. All the simulations are conducted based on a typical test power system.     

计及机组组合状态调整的发电计划安全校正策略

发电计划安全校正是调度计划和调度运行的一项重要内容.提出了一种基于调整量最小的安全约束经济调度模型的发电计划安全校正新策略,并通过松弛机组出力限值约束,可以在调整机组出力无法满足电网安全的情况下,进一步调整机组的组合状态来消除潮流越限,从而提高安全校正算法的鲁棒性和实用性.实际系统算例分析证明了算法的有效性,在此基础上...     

Improved Interval Optimization Method Based on Differential Evolution for Microgrid Economic Dispatch

This article proposes an improved interval optimization method based on differential evolution for dynamic economic dispatch of a microgrid. First, the dynamic economic dispatch model applied is a microgrid model considering various distributed generations, energy storage systems, the transaction between the microgrid and power grid, as well as multiple kinds of loads. Both economic and environmental costs are taken into account. Second, an improved interval optimization method based on differential evolution is proposed to solve this non-linear optimization model. The proposed method is improved in the aspects of the branch-and-bound strategy, acceleration tool, and interval estimation method. Finally, a practical dynamic economic dispatch case of a microgrid considering the valve-point effect is studied. A comparison among the proposed method, traditional interval method, differential evolution method, and interior point method is given to verify the efficiency and practicality of the improved interval optimization method.     

Efficient hybrid optimization approach for emission constrained economic dispatch with nonsmooth cost curves

Power plants usually operate on the strategy of economic dispatch (ED) regardless of emissions produced. Environmental considerations have become one of the major management concerns. Under these circumstances, the alternative strategy of environmental/economic dispatch (EED) is becoming more and more desirable for not only resulting in great economical benefit, but also reducing the pollutants emission.Based on the literature survey, few attempts have been made at considering valve-point effects for the realistic environmental/economic dispatch (EED) problem. This paper proposes a new efficient hybrid differential evolution algorithm with harmony search (DE–HS) to solve the multiobjective environmental/economic dispatch (EED) problems that feature nonsmooth cost curves. The proposed approach combines in the most effective way the properties of differential evolution (DE) and harmony search (HS) algorithms. To enhance the local search capability of the original DE method, the fresh individual generation mechanism of the HS is utilized.Numerical results for three case studies have been presented to illustrate the performance and applicability of the proposed hybrid method. The comparative results with some of the most recently published methods confirm the effectiveness of the proposed strategy to find accurate and feasible optimal solutions for practical EED problems.     

基于改进多目标海樽群算法的电力系统优化调度

文中提出了一种新的多目标海樽群优化算法,将其与等式约束修正技术和可行解占优约束处理技术相结合,用于求解高度约束的电力系统环境经济优化调度问题。该算法采用高斯采样策略和变异操作增强其寻优性能;通过一种改进的基于动态拥挤距离的非支配排序方法获得分布均匀的帕累托最优前沿;应用模糊集理论为决策者提供最佳折中解。在IEEE 30节点6机组标准测试系统上进行算例仿真,并与其它优化算法进行了对比。结果表明,所提算法在求解电力系统环境经济调度问题时具有更好的优化效果。