TY - JOUR
T1 - Impact of local critical peak price on the Operation of Electricity and Gas Systems
TT - اجرای پاسخ بار پیک بحرانی محلی بر روی شبکه برق و گاز با هدف کاهش هزینه و تراکم
JF - NECjournals
JO - NECjournals
VL - 24
IS - 2
UR - http://necjournals.ir/article-1-1684-en.html
Y1 - 2021
SP - 35
EP - 63
KW - Demand response modeling
KW - Integrated gas and electricity systems operation
KW - Congestion management
KW - Local critical peak price
N2 - Due to the uneven growth of demand during peak hours, network operators are willing to implement demand responses to reduce costs and manage congestion. On the other hand, increasing attention to climate change has increased the penetration of renewable energy sources (RES) in the electricity network. Due to the intermittency of RESs, gas-fired power plants could play a major role in backing up the RESs in order to maintain the supply-demand balance. As a result, the interaction between electricity and gas systems is significantly increasing. In this context, modeling and optimal implementation of demand response programs in proportion to the demand is one of the main challenges for power and gas system operators. In this paper, the effects of optimal implementation of local critical peak price (LCPP) in electricity and gas systems using linear and non-linear economic models (power, exponential and logarithmic) for LCPP in terms of cost and line congestion and risk of unserved demand are investigated. To reduce efficiently congestion of transmission lines as well as gas pipelines, CPP has been implemented locally. Reliable modeling for load estimation could be effective in selecting the most appropriate load response model for estimating the load curve with the least error. Optimal prices at critical times for each bus/node are determined based on power distribution coefficient, gas transmission distribution coefficient, available electricity/gas transmission capability, and the combination of unit commitment with local demand response during integrated operation of gas and electricity systems. According to the results, implementing the LCPP in electricity and gas systems (compared with the implementation of LCPP in electricity system only) reduces the total cost by 3%, the congestion of electricity transmission lines by 1%, and the standard deviation of the gas pipes linepacks by 1%. The proposed hybrid model is applied on a 24-bus IEEE electricity network and a 15-bus gas network to quantify the role and value of different LCPP models.
M3
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