Environmental/economic power dispatch with wind power |
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| Affiliation: | 1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, China;2. College of Science, Nantong University, 9 Seyuan road, Nantong, China;1. Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, 400 W 13th Street, Rolla, MO 65409-0050, USA;2. Missouri University of Science and Technology, Engineering Management and Systems Engineering, 600 W 14th Street, Rolla, MO 65409-0370, USA;3. Northern Illinois University, Department of Technology and Institute for the Study of the Environment, Sustainability, and Energy, 101 Still Hall, DeKalb, IL 60115, USA;1. Thermal&Fluid System R&BD Group, Korea Institute of Technology, Ipjang-Myun, Cheonan-Si, Chungnam, 331-825, Republic of Korea;2. School of Mechanical Engineering, Hoseo University, Baebang-Myun, Asan-Si, Chungnam, 336-795, Republic of Korea;1. Stichting Monitoring Zonnestroom (SMZ), Utrecht, The Netherlands;2. Utrecht University, CopernicusInstitute, Utrecht, The Netherlands;3. New-Energy-Works (NEW), Utrecht, The Netherlands;4. Rencom, Ouderkerk a/d Amstel, The Netherlands;5. Holland Solar, Utrecht, The Netherlands;6. Organisatie voor Duurzame Energie (ODE), Utrecht, The Netherlands;1. Electrical and Computer Engineering Department, Mississippi State University, Mississippi State, MS 39762, USA;2. Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran;3. Battery Management Department, Qualcomm, San Diego, CA, USA |
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| Abstract: | Economic environmental dispatch (EED) is a significant optimization problem in electric power system. With more wide spread use of wind power, it is necessary to include wind energy conversion system (WECS) in the EED problem. This paper presents a model to solve the EED problem incorporating wind power. In addition to the classic EED factors, the factors accounting for overestimation and underestimation of available wind power in both economic and environmental aspects are also considered. In order to obtain some quantitative results, the uncertain characteristic of available wind power and the performance of WECS are determined on the basis of the statistical characteristic of wind speed. The optimization problem is numerically solved by a scenario involving two conventional generators and two wind-powered generators. The results demonstrate that the allocation of system generation capacity may be influenced by multipliers related to the cost for overestimation and underestimation of available wind power, and by the multiplier related to the emissions for underestimation of available wind power. Nevertheless, the multiplier related to the emissions for overestimation of available wind power has little impact on the allocation. Taking account of economic factors, environmental factors and impacts of wind power penetration, the proposed EED model is beneficial to finding the right balance between radical and conservative strategy for wind power development. |
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| Keywords: | EED WECS Penalty cost Reserve cost Penalty emissions Reserve emissions |
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