Solving Multiple Fuels Dynamic Environmental/Economic Dispatch Problem and Incentive Based Demand Response Considering Spinning Reserve Requirements

In this paper a new integrated model of the dynamic environmental/economic dispatch (DEED) problem and emergency demand response program (EDRP) has been presented by which their interactions are investigated. DEED schedules the online generators power output over the whole dispatch period subject to some practical constraints so that the fuel costs and emission are optimized simultaneously. EDRP is one of the incentivebased demand response program in which incentives are paid to the customers to reduce their consumption during peak hours or shift it to the offpeak or valley hours. The proposed integrated model is a multiobjective optimization problem which aims to minimize both the fuel costs and emission and determine the optimal incentive of EDRP under some of practical constraint of units such as valvepoint loading effect, multiple fuels, prohibited operating zones, and spinning reserve requirements. The proposed model has been applied on a ten generation units test system. The results indicate the effectiveness of the integrated model in reducing fuel costs and emission, improving load curve characteristics, spinning reserve, and consequently the network reliability.