Real-Time Pricing (RTP) is proposed as an effective Demand-Side Management (DSM) to adjust the load curve in order to achieve the peak load shifting. At the same time, the RTP mechanism can also raise the revenue of t...Real-Time Pricing (RTP) is proposed as an effective Demand-Side Management (DSM) to adjust the load curve in order to achieve the peak load shifting. At the same time, the RTP mechanism can also raise the revenue of the supply-side and reduce the electricity expenses of consumers to achieve a win-win situation. In this paper, a real-time pricing algorithm based on price elasticity theory is proposed to analyze the energy consumption and the response of the consumers in smart grid structure. We consider a smart grid equipped with smart meters and two-way communication system. By using real data to simulate the proposed model, some characteristics of RTP are summarized as follows: 1) Under the condition of the real data, the adjustment of load curve and reducing the expenses of consumers is obviously. But the profit of power supplier is difficult to ensure. If we balance the profits of both sides, the supplier and consumers, the profits of both sides and the adjustment of load curve will be relatively limited. 2) If assuming the response degree of consumers to real-time prices is high enough, the RTP mechanism can achieve the expected effect. 3, If the cost of supply-side (day-ahead price) fluctuates dramatically, the profits of both sides can be ensured to achieve the expected effect.展开更多
实时电价是智能电网需求侧管理的有效方法,对于维持电力供需平衡、削峰填谷至关重要。为提高实时电价模型的低碳经济性和精确性,在充分考虑用户与供电侧双方利益前提下提出碳交易机制,并根据新能源的发电特性构建风光出力不确定模型,建...实时电价是智能电网需求侧管理的有效方法,对于维持电力供需平衡、削峰填谷至关重要。为提高实时电价模型的低碳经济性和精确性,在充分考虑用户与供电侧双方利益前提下提出碳交易机制,并根据新能源的发电特性构建风光出力不确定模型,建立以用户总效用最大、供电侧成本最小为目标的社会福利最大化实时电价模型。提出基于改进交替方向乘子法(alternating direction method of multiplier, ADMM),即高斯回代交替方向乘子法(ADMM with Gaussian back substitution, ADMM-GBS)的分布式优化调度方法,通过将不确定模型转化为确定模型求解。仿真结果表明,所提实时电价策略能够提升社会福利,验证了模型和算法的有效性。展开更多
文摘Real-Time Pricing (RTP) is proposed as an effective Demand-Side Management (DSM) to adjust the load curve in order to achieve the peak load shifting. At the same time, the RTP mechanism can also raise the revenue of the supply-side and reduce the electricity expenses of consumers to achieve a win-win situation. In this paper, a real-time pricing algorithm based on price elasticity theory is proposed to analyze the energy consumption and the response of the consumers in smart grid structure. We consider a smart grid equipped with smart meters and two-way communication system. By using real data to simulate the proposed model, some characteristics of RTP are summarized as follows: 1) Under the condition of the real data, the adjustment of load curve and reducing the expenses of consumers is obviously. But the profit of power supplier is difficult to ensure. If we balance the profits of both sides, the supplier and consumers, the profits of both sides and the adjustment of load curve will be relatively limited. 2) If assuming the response degree of consumers to real-time prices is high enough, the RTP mechanism can achieve the expected effect. 3, If the cost of supply-side (day-ahead price) fluctuates dramatically, the profits of both sides can be ensured to achieve the expected effect.
文摘实时电价是智能电网需求侧管理的有效方法,对于维持电力供需平衡、削峰填谷至关重要。为提高实时电价模型的低碳经济性和精确性,在充分考虑用户与供电侧双方利益前提下提出碳交易机制,并根据新能源的发电特性构建风光出力不确定模型,建立以用户总效用最大、供电侧成本最小为目标的社会福利最大化实时电价模型。提出基于改进交替方向乘子法(alternating direction method of multiplier, ADMM),即高斯回代交替方向乘子法(ADMM with Gaussian back substitution, ADMM-GBS)的分布式优化调度方法,通过将不确定模型转化为确定模型求解。仿真结果表明,所提实时电价策略能够提升社会福利,验证了模型和算法的有效性。
