共查询到20条相似文献，搜索用时 0 毫秒
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Cogeneration units which produce both heat and electric power are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units which produce either heat or power exclusively. Hence the economic dispatch problem for these plants optimizing the fuel cost is quite complex and several classical and meta-heuristic algorithms have been proposed earlier. This paper applies the invasive weed optimization algorithm which is inspired by the ecological process of weed colonization and distribution. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over earlier ones. 相似文献
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现阶段中国建筑能源消耗较大,浪费现象频现,同时,光伏等新能源分布式发电在用户侧大力推广,如何在优先消纳分布式发电的情况下管理大型楼宇用电,节约电量,降低电费,成为了近年智能楼宇建设的关键问题.对智能楼宇用电管理系统的分层架构体系进行了简单介绍,并通过对用户负荷分类,以用电经济性、舒适性和电网稳定性为目标提出了负荷优化调... 相似文献
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为应对风电接入对电力系统稳定运行带来的影响,考虑风电高估低估成本、阀点效应、旋转备用约束和网络损耗等常需因素,建立计及风电不确定性的通用经济调度模型。为求解此模型,提出一种改进的径向移动算法(IRMO),该算法针对基本径向移动算法易陷入局部最优解的不足,一方面结合遗传算法中种群变异的思想,在迭代过程中随机对一部分粒子进行突变,改善种群多样性,使算法能够跳出局部最优;另一方面引入凹抛物线式的惯性权值非线性递减策略,以进一步增强算法中后期的搜索精度,更易找到全局最优解。最后对含风电场的电力系统进行算例分析和算法对比,验证模型的合理性以及IRMO的优越性。 相似文献
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为保证风电安全消纳,系统有功实时调度需要应对风电强波动性和网络安全运行之间的矛盾,实现对系统经济成本和安全风险的协调统筹,提升调度计划对不确定性扰动的防御能力。为此,对风电波动和输电线路N-1事故进行不确定性数学建模,并以随机扰动发生的概率和严重度分析为量化分析手段,建立含风电电力系统的有功实时风险调度模型,以降低系统在不同运行状态下的运行风险总量为目标,制定未来调度时段内的机组实时出力计划,从而实现对系统经济成本和安全风险的有机协调。对IEEE 30节点测试系统的仿真分析,验证了所提模型方法的合理性和有效性。 相似文献
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A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power 总被引：2，自引：0，他引：2
Gwo-Ching Liao 《Energy》2011,36(2):1018-1029
An optimization algorithm is proposed in this paper to solve the economic dispatch problem that includes wind farm using the Chaotic Quantum Genetic Algorithm (CQGA). In addition to the detailed models of economic dispatch introduction and their associated constraints, the wind power effect is also included in this paper. The chaotic quantum genetic algorithm used to solve the economic dispatch process and discussed with real scenarios used for the simulation tests. After comparing the proposed algorithm with several other algorithms commonly used to solve optimization problems, the results show that the proposed algorithm is able to find the optimal solution quickly and accurately (i.e. to obtain the minimum cost for power generation in the shortest time). At the end, the impact to the total cost savings for power generation after adding (or not adding) wind power generation is also discussed. The actual implementation results prove that the proposed algorithm is economical, fast and practical. They are quite valuable for further research. 相似文献
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火电站多目标负荷调度及其算法的研究 总被引：5，自引：0，他引：5
对传统意义下负荷调度模型进行修正,同时考虑最小化燃料费用和污染排放量,提出了火电站多目标负荷调度模型;并将强度Pareto进化算法(SPEA2)与并行遗传算法(PGA)相结合对其求解.结果表明:该算法求得的Pareto最优解分布均匀、收敛速度快、寻优能力强,决策者可根据不同的侧重点在Pareto解集中选择最终的满意解.应用该算法对某电厂进行多目标负荷调度,验证了其可行性和有效性. 相似文献
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In recent years, various heuristic optimization methods have been proposed to solve economic dispatch (ED) problem in power systems. This paper presents the well-known power system ED problem solution considering valve-point effect by a new optimization algorithm called artificial bee colony (ABC). The proposed approach has been applied to various test systems with incremental fuel cost function, taking into account the valve-point effects. The results show that the proposed approach is efficient and robust when compared with other optimization algorithms reported in literature. 相似文献
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针对我国目前电网的调度模式,提出了在自动发电控制(AGC)方式下的厂级负荷优化分配系统实现方案,该方案不改变电厂原有网络结构,直接在厂级监控信息系统中增加负荷控制节点,这样既不改变控制系统原有的各项功能,又使厂级负荷控制的投切比较灵活,大大增强了系统的稳定性。在优化算法上提出了遗传禁忌混合算法,以某电厂的3台机组为例,采用2008年负荷数据进行优化分配,并与实际分配进行对比,结果表明采用该算法进行优化分配后煤耗率下降了0.2g/(kW.h)～5.3g/(kW.h),对电厂节能降耗,提高经济效益有重要意义。 相似文献
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Economic load dispatch (ELD), used as part of the modern energy management system basically minimizes the total generation fuel cost of thermal plants while satisfying various system constraints. However, ELD alone is not sufficient to reduce the pollutant emissions caused by fossil fuel burning for power generation. Thus, it becomes necessary to implement economic emission dispatch (EED) model, which aims to minimize both generation fuel cost and emissions simultaneously. Myanmar Power System is used as a case study in this model. The types of emissions considered in the study are carbon dioxide (CO2) and nitrogen oxides (NOx). A practical ramp‐rate of turbine generator units is also formulated and studied in the model. Total emission constraint on the whole system is further implemented to investigate the effect of emission limit on the variation of generation schedule among generating plants. It is found that whenever minimum cost of operation is taken as sole objective in the model, the corresponding emission level increases. Similarly, minimum emission dispatch results in higher operating cost. Therefore, both objectives are conflicting in nature and some weights must be assigned to obtain a non‐inferior solution. The case where the ramp‐rate is considered in problem formulation incurs higher cost than that without it. Several trade‐off curves obtained can be taken as guidelines to fix the desired level of cost and emission together by the operators. Copyright © 1999 John Wiley & Sons, Ltd. 相似文献
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针对智能算法求解电力系统机组组合时存在的经济调度无解问题,提出了一种简便、高效率的检验方法.提出的算法可用于检验智能算法中较难处理的爬坡约束和直流潮流安全约束,有效地避免对不可行机组状态组合的经济调度.算例表明,该方法检验效率高,可有效节省计算时间,具有较强的实用意义. 相似文献
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S. BISWAS 《Frontiers in Energy》2012,6(2):138
This paper explores the capability of modified differential evolution (MDE) technique for solving the reactive power dispatch (RPD) problem. The proposed method is based on the basic differential evolution (DE) technique with a few modifications made into it. DE is one of the strongest optimization techniques though it suffers from the problem of slow convergence while global minima appear. The proposed modifications are tried to resolve the problem. The RPD problem mainly defines loss minimization with stable voltage profile. To solve the RPD problem, the generator bus voltage, transformer tap setting and shunt capacitor placements are controlled by the MDE approach. In this paper, IEEE 14-bus and IEEE 30-bus systems are chosen for MDE implementation. The applied modification show much improved result in comparison to normal DE technique. Comparative study with other soft-computing technique including DE validates the effectiveness of the proposed method. 相似文献
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《Energy Policy》2015
Energy shortages, climate change and environmental pollution are critical issues that the entire world is faced with currently. To tackle the challenge and realize sustainable development, the Chinese government launched the Energy-Saving Generation Dispatch (ESGD) in 2007. In the ESGD scheme, generating units are dispatched based on fuel consumption rates and pollutant emission intensities from low to high. However, annual generation quotas still widely exist. With the mandatory shutdown of small-capacity and low-efficiency thermal generating units in 2006–2010, most of the currently running thermal generating units are large-capacity and highly efficient units. The additional improvement of the overall energy efficiency under this situation is a key problem for the Chinese electric power industry. To this end, a new type of ESGD framework is designed in this paper. Sequential coordination among yearly, monthly, day-ahead and real-time generation schedules is proposed. Based on the framework, the corresponding models are formulated. Empirical analysis is conducted using the realistic data obtained from the Guangdong Power Grid Corporation. Four generation dispatch modes are compared. The results indicate that the proposed ESGD mode can further reduce energy consumption and pollutant emissions. Hopefully, this paper can provide a valuable reference for policy making in the Chinese power sector. 相似文献
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本文采用了等效二次规划算法处理电力系统经济调度问题。本文基于以全网发电成本为目标函数,以发电机有功出力限制和支路有功限值为约束的电力系统经济调度数学模型,提出了利用二次规划的凸性条件,将具有函数约束的电力系统经济调度二次规划模型转化为只有变量约束的等效二次规划模型。用本文算法对IEEE系统和三个实际系统进行了数值试验。实验结果使得全网发电成本减少和约束条件满足。等效二次规划模型对电力系统经济调度问题具有收敛性好、快及较高精度,具有在线应用能力和能作为调度培训系统仿真软件的潜力。 相似文献
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Plastic dye-sensitized photo-supercapacitor using electrophoretic deposition and compression methods
Hsin-Wei Chen Jian-Ging Chen Chun-Chieh Wang Kuo-Chuan Ho 《Journal of power sources》2010,195(18):6225-17518
A plastic photo-rechargeable capacitor is studied using a three-electrode configuration, separating a flexible dye-sensitized solar cell (DSSC) and a supercapacitor by sharing a common Pt electrode. The thick and uniform TiO2 film is formed by using commercially available TiO2 nanocrystals, which are treated in an isopropyl alcohol without surfactant by the electrophoretic deposition (EPD) to deposit the mesoporous TiO2 photoanode film with good adherence onto the plastic substrate. Afterward, a static mechanical compression technique as the post-treatment is employed to the electrophoretic deposited film in order to enhance the particles connection. In addition, a supercapacitor using PEDOT (poly(3,4-ethylenedioxythiophene)), which is potentiostatically electropolymerized to form a thick film, is fabricated to store the energy. The flexible DSSC part is fabricated with a TiO2 film of 10.9 μm thickness and it can provide photoelectric conversion efficiency up to 4.37% under 1 sun illumination. The photocapacitor is made with such a flexible DSSC and a supercapacitor with ca. 0.5 mm thick PEDOT film, which provides a specific capacitance of 0.52 F cm−2. 相似文献
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现阶段在研究电网经济环保负荷优化分配问题时,将多目标优化问题转化为单目标优化问题需要遍历各权重组合并进行对比,且获得的权重组合精度较低,和最优权重组合之间仍有一定差距。据此提出一种利用发电机组数和优化目标个数共同确定粒子维数的自适应多目标权重粒子群优化(adaptive multi-objective weights particle swarm optimization algorithm, AMWPSO)算法,并利用包含6台机组的IEEE 30总线系统的数据,在计及和忽略网损2种情况下对负荷分配模型进行求解。求解结果表明所提优化算法一方面能够自动生成各目标的权重比,避免了繁琐的权重对比计算。另一方面和人工设置的邻近权重组合相比,求解的各目标权重精度高,且在发电成本和污染物排放2个综合目标下的表现更好。 相似文献