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Time-of-use (TOU) pricing strategy is an important component of demand-side management (DSM), but the cost of supplying power during critical peak periods remains high under TOU prices. This affects power system reliability. In addition, TOU prices are usually applicable to medium- and long-term load control but cannot effectively regulate short-term loads. Therefore, this paper proposes an optimization method for TOU pricing and changes the electricity consumption patterns during the critical peak periods through a critical peak rebate (CPR). This reduces generation costs and improves power system reliability. An optimization model for peak-flat-valley (PFV) period partition is established based on fuzzy clustering and an enumeration iterative technique. A TOU pricing optimization model including grid-side and customer-side benefits is then proposed, and a simulated annealing particle swarm optimization (SAPSO) algorithm is used to solve the problem. Finally, a CPR decision model is developed to further reduce critical peak loads. The effectiveness of the proposed model and algorithm is illustrated through different case studies of the Roy Billinton Test System (RBTS). 相似文献
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Demand Response (DR) programs have been implemented in many competitive electricity markets to prevent price spikes and power systems unreliability. Mathematical modeling of these programs helps regulators to evaluate the impact of price responsive loads on market conditions. In this paper, several nonlinear economic models of price responsive loads are derived based on price elasticity of demand and customer benefit function. The main objectives of the paper include extracting different mathematical models for Time of Use (TOU) programs, and comparing these models to find out which model shows more conservative and which one shows non-conservative results compared with the initial load curve. This could be used by ISOs or DR programs developers as a guideline to use conservative models to have lower error in load profile characteristics estimation, such as variation in peak load or amount of energy consumptions. In order to evaluate the performance of the proposed nonlinear DR models, numerical studies are conducted on the load curve of different markets. Results obtained by using different models are presented and compared considering different scenarios for price, elasticity and potentiality of DR programs implementation. Characteristics of both linear and nonlinear economic models of price responsive loads have been evaluated. 相似文献
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分时电价对上海城镇居民用电的影响研究 总被引:1,自引:1,他引:1
居民分时电价是削峰填谷的一项重要手段,但效果很难衡量.通过向高、中、低端用户发放调查问卷,分析家电因素、人均居住面积对居民谷电消费倾向的影响,以及由此产生的电量和电费支出的变化,结果表明:分时电价的政策促进了居民用电量的增长,居民倾向于谷时段用电,中端用户削峰填谷的效果最明显. 相似文献
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分析南水北调东线调水量及工程特点,根据现有的分时电价政策,考虑市场管理模式,运用最优化原则,探讨了分时电价机制下的东线水量优化调度问题,并提出了应用多模式分时电价机制优化水量调度的对策和建议. 相似文献
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针对电力市场下水电站优化运行问题,建立了基于分时电价的三峡梯级水电站联合优化调度
模型。优化调度模型以系统发电效益最大为目标,考虑了分时电价因子和梯级水库间流量传播问题。
采用改进遗传算法求解模型,运用正切轮盘赌选择算子保持适应度函数非负;应用随个体适应值大小和
群体分散程度自适应控制的遗传参数,保持种群多样性。研究成果表明:在电力市场下,水库优化调度
的目标函数选取为发电效益最大有实用价值,对未来三峡梯级水电站日发电计划的编制有一定借鉴意
义和应用价值。 相似文献
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An economic-engineering simulation model was developed to examine the economic feasibilities of using thermal energy storage systems to help cool commercial-scale buildings under time-of-use (TOU) electricity rates. The analysis results showed that the financial viability of thermal energy systems would be greatly enhanced under TOU rates. The simulation analysis also revealed that the results would be significantly affected by various parameters, such as the length of on-peak period, capital costs, building size and configuration, space availability, and weather conditions. 相似文献